{ "source": "Signals 4 — free daily AI digest (Signals API)", "endpoint": "https://data.jiangzhang.ca/signals4/api/papers.json", "as_of": "2026-09-20", "count": 938, "license": "Free to read, quote and cite with attribution to Signals 4 (Signals API).", "note": "position_in_category orders papers by publication time within each arXiv category we recorded; category_size covers only papers in our own collection.", "papers": [ { "category": "cs.LG", "position_in_category": 1, "category_size": 215, "title": "Embedding Models Measure in Peculiar Ways", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Embedding Models Measure in Peculiar Ways: the #1 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/embedding-models-measure-in-peculiar-ways.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/embedding-models-measure-in-peculiar-ways.html", "arxiv_url": "https://arxiv.org/abs/2609.20821v1" }, { "category": "cs.LG", "position_in_category": 2, "category_size": 215, "title": "How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?: the #2 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-does-distribution-shift-shape-pretraining-gains-in-neural-pde-surrogates.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-does-distribution-shift-shape-pretraining-gains-in-neural-pde-surrogates.html", "arxiv_url": "https://arxiv.org/abs/2609.20814v1" }, { "category": "cs.LG", "position_in_category": 3, "category_size": 215, "title": "Score Centering Stabilizes Off-policy Reinforcement Learning", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Score Centering Stabilizes Off-policy Reinforcement Learning: the #3 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/score-centering-stabilizes-off-policy-reinforcement-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/score-centering-stabilizes-off-policy-reinforcement-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.20807v1" }, { "category": "cs.LG", "position_in_category": 4, "category_size": 215, "title": "PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers: the #4 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/posteriorbench-from-point-estimates-to-posterior-matching-in-evaluating-generati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/posteriorbench-from-point-estimates-to-posterior-matching-in-evaluating-generati.html", "arxiv_url": "https://arxiv.org/abs/2609.20794v1" }, { "category": "cs.LG", "position_in_category": 5, "category_size": 215, "title": "Calibrated RF-Fingerprinting Under Interference With Heterogeneous Transmission Protocols", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Calibrated RF-Fingerprinting Under Interference With Heterogeneous Transmission Protocols: the #5 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/calibrated-rf-fingerprinting-under-interference-with-heterogeneous-transmission-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/calibrated-rf-fingerprinting-under-interference-with-heterogeneous-transmission-.html", "arxiv_url": "https://arxiv.org/abs/2609.20765v1" }, { "category": "cs.LG", "position_in_category": 6, "category_size": 215, "title": "Agile-WAM: An Agile Tactile World Action Model for Contact-Rich Robot Control", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Agile-WAM: An Agile Tactile World Action Model for Contact-Rich Robot Control: the #6 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agile-wam-an-agile-tactile-world-action-model-for-contact-rich-robot-control.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/agile-wam-an-agile-tactile-world-action-model-for-contact-rich-robot-control.html", "arxiv_url": "https://arxiv.org/abs/2609.20761v1" }, { "category": "cs.LG", "position_in_category": 7, "category_size": 215, "title": "OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher: the #7 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/opted-on-policy-fine-tuning-for-end-to-end-driving-using-a-render-free-teacher.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/opted-on-policy-fine-tuning-for-end-to-end-driving-using-a-render-free-teacher.html", "arxiv_url": "https://arxiv.org/abs/2609.20756v1" }, { "category": "cs.LG", "position_in_category": 8, "category_size": 215, "title": "dQwen3.5: Hybrid-Attention Diffusion Language Models", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "dQwen3.5: Hybrid-Attention Diffusion Language Models: the #8 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dqwen3-5-hybrid-attention-diffusion-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dqwen3-5-hybrid-attention-diffusion-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.20751v1" }, { "category": "cs.LG", "position_in_category": 9, "category_size": 215, "title": "MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving: the #9 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/miler-semantic-mid-level-representation-for-sim-to-real-reinforcement-learning-i.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/miler-semantic-mid-level-representation-for-sim-to-real-reinforcement-learning-i.html", "arxiv_url": "https://arxiv.org/abs/2609.20747v1" }, { "category": "cs.LG", "position_in_category": 10, "category_size": 215, "title": "Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation: the #10 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/video-deltanet-a-video-native-hybrid-attention-for-livestream-video-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/video-deltanet-a-video-native-hybrid-attention-for-livestream-video-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.20744v1" }, { "category": "cs.LG", "position_in_category": 11, "category_size": 215, "title": "Stable Movement for Nondual Lipschitz Convex Optimization: Efficiency and Nearly Optimal Oracle Rates", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Stable Movement for Nondual Lipschitz Convex Optimization: Efficiency and Nearly Optimal Oracle Rates: the #11 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stable-movement-for-nondual-lipschitz-convex-optimization-efficiency-and-nearly-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/stable-movement-for-nondual-lipschitz-convex-optimization-efficiency-and-nearly-.html", "arxiv_url": "https://arxiv.org/abs/2609.20701v1" }, { "category": "cs.LG", "position_in_category": 12, "category_size": 215, "title": "TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data: the #12 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tetriscnn-for-interpretable-detection-of-phases-of-matter-from-experimental-quan.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tetriscnn-for-interpretable-detection-of-phases-of-matter-from-experimental-quan.html", "arxiv_url": "https://arxiv.org/abs/2609.20693v1" }, { "category": "cs.LG", "position_in_category": 13, "category_size": 215, "title": "The First-Order Oracle Complexity of Lipschitz Convex Optimization in Nondual Settings", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "The First-Order Oracle Complexity of Lipschitz Convex Optimization in Nondual Settings: the #13 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-first-order-oracle-complexity-of-lipschitz-convex-optimization-in-nondual-se.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-first-order-oracle-complexity-of-lipschitz-convex-optimization-in-nondual-se.html", "arxiv_url": "https://arxiv.org/abs/2609.20687v1" }, { "category": "cs.LG", "position_in_category": 14, "category_size": 215, "title": "RISC-V and machine learning: a survey", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "RISC-V and machine learning: a survey: the #14 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/risc-v-and-machine-learning-a-survey.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/risc-v-and-machine-learning-a-survey.html", "arxiv_url": "https://arxiv.org/abs/2609.20677v1" }, { "category": "cs.CV", "position_in_category": 1, "category_size": 237, "title": "Can 4D Foundation Models Remember?", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Can 4D Foundation Models Remember?: the #1 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-4d-foundation-models-remember.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-4d-foundation-models-remember.html", "arxiv_url": "https://arxiv.org/abs/2609.20819v1" }, { "category": "cs.CV", "position_in_category": 2, "category_size": 237, "title": "SplashSplat: Reconstructing Splashing Liquids from Real-World Multi-View Videos", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "SplashSplat: Reconstructing Splashing Liquids from Real-World Multi-View Videos: the #2 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/splashsplat-reconstructing-splashing-liquids-from-real-world-multi-view-videos.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/splashsplat-reconstructing-splashing-liquids-from-real-world-multi-view-videos.html", "arxiv_url": "https://arxiv.org/abs/2609.20818v1" }, { "category": "cs.CV", "position_in_category": 3, "category_size": 237, "title": "FlowSGS: Improving Flow Matching Priors for Inverse Imaging with Stochastic Interpolants", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "FlowSGS: Improving Flow Matching Priors for Inverse Imaging with Stochastic Interpolants: the #3 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/flowsgs-improving-flow-matching-priors-for-inverse-imaging-with-stochastic-inter.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/flowsgs-improving-flow-matching-priors-for-inverse-imaging-with-stochastic-inter.html", "arxiv_url": "https://arxiv.org/abs/2609.20769v1" }, { "category": "cs.CV", "position_in_category": 4, "category_size": 237, "title": "Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation: the #4 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/should-this-case-be-adapted-prediction-fragmentation-controls-test-time-adaptati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/should-this-case-be-adapted-prediction-fragmentation-controls-test-time-adaptati.html", "arxiv_url": "https://arxiv.org/abs/2609.20700v1" }, { "category": "cs.CV", "position_in_category": 5, "category_size": 237, "title": "Towards Scaling Marine Perception with Synthetic Data", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Towards Scaling Marine Perception with Synthetic Data: the #5 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-scaling-marine-perception-with-synthetic-data.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/towards-scaling-marine-perception-with-synthetic-data.html", "arxiv_url": "https://arxiv.org/abs/2609.20680v1" }, { "category": "cs.CV", "position_in_category": 6, "category_size": 237, "title": "FunArt: Decoding Functional Structure and Articulation from Generative 3D Latents", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "FunArt: Decoding Functional Structure and Articulation from Generative 3D Latents: the #6 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/funart-decoding-functional-structure-and-articulation-from-generative-3d-latents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/funart-decoding-functional-structure-and-articulation-from-generative-3d-latents.html", "arxiv_url": "https://arxiv.org/abs/2609.20673v1" }, { "category": "cs.CV", "position_in_category": 7, "category_size": 237, "title": "Learning Foresight without Explicit Trajectories for 3D Diffusion Policies", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Learning Foresight without Explicit Trajectories for 3D Diffusion Policies: the #7 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-foresight-without-explicit-trajectories-for-3d-diffusion-policies.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-foresight-without-explicit-trajectories-for-3d-diffusion-policies.html", "arxiv_url": "https://arxiv.org/abs/2609.20669v1" }, { "category": "cs.CV", "position_in_category": 8, "category_size": 237, "title": "Earth Surface Immune System for Rapid Monitoring of Unknown Anomalies", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Earth Surface Immune System for Rapid Monitoring of Unknown Anomalies: the #8 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/earth-surface-immune-system-for-rapid-monitoring-of-unknown-anomalies.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/earth-surface-immune-system-for-rapid-monitoring-of-unknown-anomalies.html", "arxiv_url": "https://arxiv.org/abs/2609.20662v1" }, { "category": "cs.CV", "position_in_category": 9, "category_size": 237, "title": "DexTouch-WM: Learning Action-Conditioned Tactile World Models from Human Touch for Dexterous Robot Manipulation", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "DexTouch-WM: Learning Action-Conditioned Tactile World Models from Human Touch for Dexterous Robot Manipulation: the #9 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dextouch-wm-learning-action-conditioned-tactile-world-models-from-human-touch-fo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dextouch-wm-learning-action-conditioned-tactile-world-models-from-human-touch-fo.html", "arxiv_url": "https://arxiv.org/abs/2609.20649v1" }, { "category": "cs.CV", "position_in_category": 10, "category_size": 237, "title": "PROVIA: Procedure State Tracking for Online Mistake Detection in Egocentric Videos", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "PROVIA: Procedure State Tracking for Online Mistake Detection in Egocentric Videos: the #10 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/provia-procedure-state-tracking-for-online-mistake-detection-in-egocentric-video.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/provia-procedure-state-tracking-for-online-mistake-detection-in-egocentric-video.html", "arxiv_url": "https://arxiv.org/abs/2609.20638v1" }, { "category": "cs.CV", "position_in_category": 11, "category_size": 237, "title": "Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Image Editing with Generative Refinement Network", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Image Editing with Generative Refinement Network: the #11 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/refinement-is-inherently-editable-training-free-prompt-to-prompt-image-editing-w.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/refinement-is-inherently-editable-training-free-prompt-to-prompt-image-editing-w.html", "arxiv_url": "https://arxiv.org/abs/2609.20633v1" }, { "category": "cs.CV", "position_in_category": 12, "category_size": 237, "title": "PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions: the #12 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/phgs-post-hoc-pruning-and-refinement-of-single-view-feed-forward-3d-gaussian-rec.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/phgs-post-hoc-pruning-and-refinement-of-single-view-feed-forward-3d-gaussian-rec.html", "arxiv_url": "https://arxiv.org/abs/2609.20623v1" }, { "category": "cs.CV", "position_in_category": 13, "category_size": 237, "title": "INSPECT: Learning Robot View Selection from Assistant Use", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "INSPECT: Learning Robot View Selection from Assistant Use: the #13 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/inspect-learning-robot-view-selection-from-assistant-use.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/inspect-learning-robot-view-selection-from-assistant-use.html", "arxiv_url": "https://arxiv.org/abs/2609.20615v1" }, { "category": "cs.CV", "position_in_category": 14, "category_size": 237, "title": "RawSLAM: Online HDR Gaussian SLAM from Linear Radiance", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "RawSLAM: Online HDR Gaussian SLAM from Linear Radiance: the #14 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rawslam-online-hdr-gaussian-slam-from-linear-radiance.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rawslam-online-hdr-gaussian-slam-from-linear-radiance.html", "arxiv_url": "https://arxiv.org/abs/2609.20589v1" }, { "category": "cs.CV", "position_in_category": 15, "category_size": 237, "title": "CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding: the #15 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coref-gs-cooperative-referring-gaussian-splatting-for-multi-agent-scene-understa.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/coref-gs-cooperative-referring-gaussian-splatting-for-multi-agent-scene-understa.html", "arxiv_url": "https://arxiv.org/abs/2609.20586v1" }, { "category": "cs.CL", "position_in_category": 1, "category_size": 186, "title": "Unifying Models of Intergroup Hostility in Online Discourse", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Unifying Models of Intergroup Hostility in Online Discourse: the #1 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unifying-models-of-intergroup-hostility-in-online-discourse.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/unifying-models-of-intergroup-hostility-in-online-discourse.html", "arxiv_url": "https://arxiv.org/abs/2609.20808v1" }, { "category": "cs.CL", "position_in_category": 2, "category_size": 186, "title": "JEPA-Anything: Learning Predictive Models across Different Worlds", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "JEPA-Anything: Learning Predictive Models across Different Worlds: the #2 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/jepa-anything-learning-predictive-models-across-different-worlds.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/jepa-anything-learning-predictive-models-across-different-worlds.html", "arxiv_url": "https://arxiv.org/abs/2609.20800v1" }, { "category": "cs.CL", "position_in_category": 3, "category_size": 186, "title": "On-Demand Attention: Language Models Know When to Recall", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "On-Demand Attention: Language Models Know When to Recall: the #3 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-demand-attention-language-models-know-when-to-recall.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-demand-attention-language-models-know-when-to-recall.html", "arxiv_url": "https://arxiv.org/abs/2609.20734v1" }, { "category": "cs.CL", "position_in_category": 4, "category_size": 186, "title": "Summarization Bias: The Directional Collapse of Objective Projection into Told-Mode Labels in Large Language Models --- A Conceptual Framework and Registered Test Protocol", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Summarization Bias: The Directional Collapse of Objective Projection into Told-Mode Labels in Large Language Models --- A Conceptual Framework and Registered Test Protocol: the #4 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/summarization-bias-the-directional-collapse-of-objective-projection-into-told-mo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/summarization-bias-the-directional-collapse-of-objective-projection-into-told-mo.html", "arxiv_url": "https://arxiv.org/abs/2609.20712v1" }, { "category": "cs.CL", "position_in_category": 5, "category_size": 186, "title": "HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication: the #5 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/herhealtheval-evaluating-multilingual-and-register-sensitive-understanding-of-wo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/herhealtheval-evaluating-multilingual-and-register-sensitive-understanding-of-wo.html", "arxiv_url": "https://arxiv.org/abs/2609.20684v1" }, { "category": "cs.CL", "position_in_category": 6, "category_size": 186, "title": "UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising: the #6 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unipolicy-unified-objective-specific-policies-for-generative-search-advertising.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/unipolicy-unified-objective-specific-policies-for-generative-search-advertising.html", "arxiv_url": "https://arxiv.org/abs/2609.20630v1" }, { "category": "cs.CL", "position_in_category": 7, "category_size": 186, "title": "Chronicle: Cut-Point Replay for Regression Testing of LLM Agents", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Chronicle: Cut-Point Replay for Regression Testing of LLM Agents: the #7 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/chronicle-cut-point-replay-for-regression-testing-of-llm-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/chronicle-cut-point-replay-for-regression-testing-of-llm-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.20625v1" }, { "category": "cs.CL", "position_in_category": 8, "category_size": 186, "title": "What Does Privileged Information Add to On-Policy Self-Distillation?", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "What Does Privileged Information Add to On-Policy Self-Distillation?: the #8 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/what-does-privileged-information-add-to-on-policy-self-distillation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/what-does-privileged-information-add-to-on-policy-self-distillation.html", "arxiv_url": "https://arxiv.org/abs/2609.20612v1" }, { "category": "cs.CL", "position_in_category": 9, "category_size": 186, "title": "WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution: the #9 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/wic-is-not-wsd-a-study-on-llms-and-lexical-ambiguity-resolution.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/wic-is-not-wsd-a-study-on-llms-and-lexical-ambiguity-resolution.html", "arxiv_url": "https://arxiv.org/abs/2609.20593v1" }, { "category": "cs.CL", "position_in_category": 10, "category_size": 186, "title": "SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk Assessment", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk Assessment: the #10 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/safari-an-industrial-benchmark-for-llm-assisted-hazard-analysis-and-risk-assessm.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/safari-an-industrial-benchmark-for-llm-assisted-hazard-analysis-and-risk-assessm.html", "arxiv_url": "https://arxiv.org/abs/2609.20584v1" }, { "category": "cs.CL", "position_in_category": 11, "category_size": 186, "title": "Steering the Compass: Aligning Dynamic Psychological Counseling Conversations with Cognitive Behavioral Therapy Strategies", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Steering the Compass: Aligning Dynamic Psychological Counseling Conversations with Cognitive Behavioral Therapy Strategies: the #11 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/steering-the-compass-aligning-dynamic-psychological-counseling-conversations-wit.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/steering-the-compass-aligning-dynamic-psychological-counseling-conversations-wit.html", "arxiv_url": "https://arxiv.org/abs/2609.20565v1" }, { "category": "cs.CL", "position_in_category": 12, "category_size": 186, "title": "Language-model groups overstate consensus when replaying human deliberation on a reasoning task", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Language-model groups overstate consensus when replaying human deliberation on a reasoning task: the #12 most recent of 186 cs.CL papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/language-model-groups-overstate-consensus-when-replaying-human-deliberation-on-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/language-model-groups-overstate-consensus-when-replaying-human-deliberation-on-a.html", "arxiv_url": "https://arxiv.org/abs/2609.20543v1" }, { "category": "cs.AI", "position_in_category": 1, "category_size": 300, "title": "Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation: the #1 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coding-agents-with-an-obstacle-aware-harness-for-safe-robot-manipulation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/coding-agents-with-an-obstacle-aware-harness-for-safe-robot-manipulation.html", "arxiv_url": "https://arxiv.org/abs/2609.20822v1" }, { "category": "cs.AI", "position_in_category": 2, "category_size": 300, "title": "Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision: the #2 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/workspace-models-lightweight-robotic-memory-via-saliency-driven-supervision.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/workspace-models-lightweight-robotic-memory-via-saliency-driven-supervision.html", "arxiv_url": "https://arxiv.org/abs/2609.20820v1" }, { "category": "cs.AI", "position_in_category": 3, "category_size": 300, "title": "FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations: the #3 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/famos-feed-forward-3d-articulation-modeling-from-sparse-observations.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/famos-feed-forward-3d-articulation-modeling-from-sparse-observations.html", "arxiv_url": "https://arxiv.org/abs/2609.20817v1" }, { "category": "cs.AI", "position_in_category": 4, "category_size": 300, "title": "Paint-Anything: Unified Any-Color Control for Image Generation and Editing", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Paint-Anything: Unified Any-Color Control for Image Generation and Editing: the #4 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/paint-anything-unified-any-color-control-for-image-generation-and-editing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/paint-anything-unified-any-color-control-for-image-generation-and-editing.html", "arxiv_url": "https://arxiv.org/abs/2609.20816v1" }, { "category": "cs.AI", "position_in_category": 5, "category_size": 300, "title": "ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis: the #5 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ercpmp-gx-endoscopic-image-and-video-dataset-for-morphological-histopathological.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ercpmp-gx-endoscopic-image-and-video-dataset-for-morphological-histopathological.html", "arxiv_url": "https://arxiv.org/abs/2609.20815v1" }, { "category": "cs.AI", "position_in_category": 6, "category_size": 300, "title": "Quantifying Overclaiming Propensity in Frontier LLM Agents", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Quantifying Overclaiming Propensity in Frontier LLM Agents: the #6 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quantifying-overclaiming-propensity-in-frontier-llm-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quantifying-overclaiming-propensity-in-frontier-llm-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.20812v1" }, { "category": "cs.AI", "position_in_category": 7, "category_size": 300, "title": "An Empirical Study of Harness Design for Coding Agents", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "An Empirical Study of Harness Design for Coding Agents: the #7 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/an-empirical-study-of-harness-design-for-coding-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/an-empirical-study-of-harness-design-for-coding-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.20804v1" }, { "category": "cs.AI", "position_in_category": 8, "category_size": 300, "title": "RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning: the #8 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/retireopd-self-retiring-on-policy-distillation-for-agentic-reinforcement-learnin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/retireopd-self-retiring-on-policy-distillation-for-agentic-reinforcement-learnin.html", "arxiv_url": "https://arxiv.org/abs/2609.20784v1" }, { "category": "cs.AI", "position_in_category": 9, "category_size": 300, "title": "Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations: the #9 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/harm-laundering-in-gpt-models-evidence-that-gender-discrimination-is-transformed.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/harm-laundering-in-gpt-models-evidence-that-gender-discrimination-is-transformed.html", "arxiv_url": "https://arxiv.org/abs/2609.20779v1" }, { "category": "cs.AI", "position_in_category": 10, "category_size": 300, "title": "GeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "GeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies: the #10 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/geoaac-geometry-based-adaptive-action-chunking-from-denoising-trajectories-in-vl.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/geoaac-geometry-based-adaptive-action-chunking-from-denoising-trajectories-in-vl.html", "arxiv_url": "https://arxiv.org/abs/2609.20776v1" }, { "category": "cs.AI", "position_in_category": 11, "category_size": 300, "title": "Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights: the #11 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semantic-action-graph-a-shared-representation-for-agent-grounding-and-human-inte.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/semantic-action-graph-a-shared-representation-for-agent-grounding-and-human-inte.html", "arxiv_url": "https://arxiv.org/abs/2609.20768v1" }, { "category": "cs.AI", "position_in_category": 12, "category_size": 300, "title": "Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation: the #12 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/prediction-powered-smoothing-and-validation-for-disaggregated-ai-evaluation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/prediction-powered-smoothing-and-validation-for-disaggregated-ai-evaluation.html", "arxiv_url": "https://arxiv.org/abs/2609.20758v1" }, { "category": "cs.AI", "position_in_category": 13, "category_size": 300, "title": "RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents: the #13 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/raft-a-stateful-retrieval-augmented-framework-for-troubleshooting-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/raft-a-stateful-retrieval-augmented-framework-for-troubleshooting-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.20754v1" }, { "category": "cs.AI", "position_in_category": 14, "category_size": 300, "title": "Large Language Models as Falsifiers for Cyber-Physical Systems", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Large Language Models as Falsifiers for Cyber-Physical Systems: the #14 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/large-language-models-as-falsifiers-for-cyber-physical-systems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/large-language-models-as-falsifiers-for-cyber-physical-systems.html", "arxiv_url": "https://arxiv.org/abs/2609.20752v1" }, { "category": "cs.AI", "position_in_category": 15, "category_size": 300, "title": "Q&A on Any Spreadsheet Requires Interpreting Its Grid Structure", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Q&A on Any Spreadsheet Requires Interpreting Its Grid Structure: the #15 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/q-a-on-any-spreadsheet-requires-interpreting-its-grid-structure.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/q-a-on-any-spreadsheet-requires-interpreting-its-grid-structure.html", "arxiv_url": "https://arxiv.org/abs/2609.20732v1" }, { "category": "cs.AI", "position_in_category": 16, "category_size": 300, "title": "Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models: the #16 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/deep-noir-autonomous-steering-discovery-via-architectural-chronometry-in-transfo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/deep-noir-autonomous-steering-discovery-via-architectural-chronometry-in-transfo.html", "arxiv_url": "https://arxiv.org/abs/2609.20722v1" }, { "category": "cs.AI", "position_in_category": 17, "category_size": 300, "title": "Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL: the #17 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/don-t-mask-the-environment-observation-supervision-changes-how-agents-explore-un.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/don-t-mask-the-environment-observation-supervision-changes-how-agents-explore-un.html", "arxiv_url": "https://arxiv.org/abs/2609.20715v1" }, { "category": "cs.AI", "position_in_category": 18, "category_size": 300, "title": "HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface: the #18 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hil-umi-bringing-human-in-the-loop-post-training-of-vision-language-action-model.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hil-umi-bringing-human-in-the-loop-post-training-of-vision-language-action-model.html", "arxiv_url": "https://arxiv.org/abs/2609.20659v1" }, { "category": "cs.AI", "position_in_category": 19, "category_size": 300, "title": "Ownership in AI-Assisted Everyday Tasks", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "Ownership in AI-Assisted Everyday Tasks: the #19 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ownership-in-ai-assisted-everyday-tasks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ownership-in-ai-assisted-everyday-tasks.html", "arxiv_url": "https://arxiv.org/abs/2609.20658v1" }, { "category": "cs.AI", "position_in_category": 20, "category_size": 300, "title": "PAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations", "published": "2026-09-17", "recorded_on": "2026-09-20", "citation": "PAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations: the #20 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/paa-the-probabilistic-allen-algebra-a-generative-and-complete-probabilistic-exte.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/paa-the-probabilistic-allen-algebra-a-generative-and-complete-probabilistic-exte.html", "arxiv_url": "https://arxiv.org/abs/2609.20634v1" }, { "category": "cs.LG", "position_in_category": 15, "category_size": 215, "title": "Exponential Hardness of Off-Policy Evaluation under History-Dependent Logging", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Exponential Hardness of Off-Policy Evaluation under History-Dependent Logging: the #15 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/exponential-hardness-of-off-policy-evaluation-under-history-dependent-logging.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/exponential-hardness-of-off-policy-evaluation-under-history-dependent-logging.html", "arxiv_url": "https://arxiv.org/abs/2609.19135v1" }, { "category": "cs.LG", "position_in_category": 16, "category_size": 215, "title": "How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents: the #16 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-model-growth-recursion-and-boundary-operators-influence-scaling-exponents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-model-growth-recursion-and-boundary-operators-influence-scaling-exponents.html", "arxiv_url": "https://arxiv.org/abs/2609.19107v1" }, { "category": "cs.LG", "position_in_category": 17, "category_size": 215, "title": "Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations: the #17 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/monitoring-and-discovering-reward-hacking-with-internal-representations-during-l.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/monitoring-and-discovering-reward-hacking-with-internal-representations-during-l.html", "arxiv_url": "https://arxiv.org/abs/2609.19101v1" }, { "category": "cs.LG", "position_in_category": 18, "category_size": 215, "title": "Evidence-Grounded Agentic Formulation Development in an Autonomous Laboratory", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Evidence-Grounded Agentic Formulation Development in an Autonomous Laboratory: the #18 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evidence-grounded-agentic-formulation-development-in-an-autonomous-laboratory.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evidence-grounded-agentic-formulation-development-in-an-autonomous-laboratory.html", "arxiv_url": "https://arxiv.org/abs/2609.19099v1" }, { "category": "cs.LG", "position_in_category": 19, "category_size": 215, "title": "A General Kernel Framework for Non-CND Distance Measures Using |D|-Dimensional Sparse Landmark Embeddings", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "A General Kernel Framework for Non-CND Distance Measures Using |D|-Dimensional Sparse Landmark Embeddings: the #19 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-general-kernel-framework-for-non-cnd-distance-measures-using-d-dimensional-spa.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-general-kernel-framework-for-non-cnd-distance-measures-using-d-dimensional-spa.html", "arxiv_url": "https://arxiv.org/abs/2609.19083v1" }, { "category": "cs.LG", "position_in_category": 20, "category_size": 215, "title": "Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion: the #20 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/comprehensive-reconstruction-of-collider-events-with-hypergraph-representation-l.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/comprehensive-reconstruction-of-collider-events-with-hypergraph-representation-l.html", "arxiv_url": "https://arxiv.org/abs/2609.18928v1" }, { "category": "cs.LG", "position_in_category": 21, "category_size": 215, "title": "Fast Learning Rates for Physics-Informed Kernel Methods", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Fast Learning Rates for Physics-Informed Kernel Methods: the #21 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fast-learning-rates-for-physics-informed-kernel-methods.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fast-learning-rates-for-physics-informed-kernel-methods.html", "arxiv_url": "https://arxiv.org/abs/2609.18901v1" }, { "category": "cs.LG", "position_in_category": 22, "category_size": 215, "title": "Learning Lyapunov Operators for Nonlinear Systems", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Learning Lyapunov Operators for Nonlinear Systems: the #22 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-lyapunov-operators-for-nonlinear-systems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-lyapunov-operators-for-nonlinear-systems.html", "arxiv_url": "https://arxiv.org/abs/2609.18894v1" }, { "category": "cs.LG", "position_in_category": 23, "category_size": 215, "title": "Preventing Model Collapse: A Fisher-Rao Perspective on the Dynamics of Training with Synthetic Data", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Preventing Model Collapse: A Fisher-Rao Perspective on the Dynamics of Training with Synthetic Data: the #23 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/preventing-model-collapse-a-fisher-rao-perspective-on-the-dynamics-of-training-w.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/preventing-model-collapse-a-fisher-rao-perspective-on-the-dynamics-of-training-w.html", "arxiv_url": "https://arxiv.org/abs/2609.18878v1" }, { "category": "cs.LG", "position_in_category": 24, "category_size": 215, "title": "Physics-based prediction, uncertainty quantification and decision-making for IN718 crystallographic texture intensity across LPBF defocus regimes", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Physics-based prediction, uncertainty quantification and decision-making for IN718 crystallographic texture intensity across LPBF defocus regimes: the #24 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/physics-based-prediction-uncertainty-quantification-and-decision-making-for-in71.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/physics-based-prediction-uncertainty-quantification-and-decision-making-for-in71.html", "arxiv_url": "https://arxiv.org/abs/2609.18863v1" }, { "category": "cs.LG", "position_in_category": 25, "category_size": 215, "title": "Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data: the #25 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/infinite-parameter-llms-generating-and-adapting-weights-from-live-data.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/infinite-parameter-llms-generating-and-adapting-weights-from-live-data.html", "arxiv_url": "https://arxiv.org/abs/2609.18842v1" }, { "category": "cs.LG", "position_in_category": 26, "category_size": 215, "title": "Interpretable Multi-Instance Learning Enables Early Prediction of Key Molecular Alterations from Routine Flow Cytometry in Acute Myeloid Leukemia", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Interpretable Multi-Instance Learning Enables Early Prediction of Key Molecular Alterations from Routine Flow Cytometry in Acute Myeloid Leukemia: the #26 most recent of 215 cs.LG papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/interpretable-multi-instance-learning-enables-early-prediction-of-key-molecular-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/interpretable-multi-instance-learning-enables-early-prediction-of-key-molecular-.html", "arxiv_url": "https://arxiv.org/abs/2609.18825v1" }, { "category": "cs.CV", "position_in_category": 16, "category_size": 237, "title": "PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics: the #16 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pointzero-3d-point-track-completion-for-learning-transferable-3d-dynamics.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/pointzero-3d-point-track-completion-for-learning-transferable-3d-dynamics.html", "arxiv_url": "https://arxiv.org/abs/2609.19142v1" }, { "category": "cs.CV", "position_in_category": 17, "category_size": 237, "title": "In-Context Robot Learning with VLM Agents", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "In-Context Robot Learning with VLM Agents: the #17 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/in-context-robot-learning-with-vlm-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/in-context-robot-learning-with-vlm-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.19138v1" }, { "category": "cs.CV", "position_in_category": 18, "category_size": 237, "title": "Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Signal Representation", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Signal Representation: the #18 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adaptive-convolutional-sparse-coding-via-information-bottleneck-for-robust-visua.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/adaptive-convolutional-sparse-coding-via-information-bottleneck-for-robust-visua.html", "arxiv_url": "https://arxiv.org/abs/2609.19122v1" }, { "category": "cs.CV", "position_in_category": 19, "category_size": 237, "title": "Track, Articulate, Act: Generating Articulation from Casual Human Videos", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Track, Articulate, Act: Generating Articulation from Casual Human Videos: the #19 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/track-articulate-act-generating-articulation-from-casual-human-videos.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/track-articulate-act-generating-articulation-from-casual-human-videos.html", "arxiv_url": "https://arxiv.org/abs/2609.19119v1" }, { "category": "cs.CV", "position_in_category": 20, "category_size": 237, "title": "PhysVGGT: Feed-Forward Dense Physical Property Estimation from A Single Image", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "PhysVGGT: Feed-Forward Dense Physical Property Estimation from A Single Image: the #20 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/physvggt-feed-forward-dense-physical-property-estimation-from-a-single-image.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/physvggt-feed-forward-dense-physical-property-estimation-from-a-single-image.html", "arxiv_url": "https://arxiv.org/abs/2609.18920v1" }, { "category": "cs.CV", "position_in_category": 21, "category_size": 237, "title": "NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting: the #21 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/normlift-from-lifted-features-to-semantic-reliability-in-3d-gaussian-splatting.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/normlift-from-lifted-features-to-semantic-reliability-in-3d-gaussian-splatting.html", "arxiv_url": "https://arxiv.org/abs/2609.18898v1" }, { "category": "cs.CV", "position_in_category": 22, "category_size": 237, "title": "Copy What Is Seen, Generate What Is Not: Training-Free Anomaly-Aware Video Restoration", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Copy What Is Seen, Generate What Is Not: Training-Free Anomaly-Aware Video Restoration: the #22 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/copy-what-is-seen-generate-what-is-not-training-free-anomaly-aware-video-restora.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/copy-what-is-seen-generate-what-is-not-training-free-anomaly-aware-video-restora.html", "arxiv_url": "https://arxiv.org/abs/2609.18836v1" }, { "category": "cs.CV", "position_in_category": 23, "category_size": 237, "title": "DISTA-Net++: Rethinking Infrared Small Target Unmixing Beyond Sub-Pixel Separation", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "DISTA-Net++: Rethinking Infrared Small Target Unmixing Beyond Sub-Pixel Separation: the #23 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dista-net-rethinking-infrared-small-target-unmixing-beyond-sub-pixel-separation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dista-net-rethinking-infrared-small-target-unmixing-beyond-sub-pixel-separation.html", "arxiv_url": "https://arxiv.org/abs/2609.18773v1" }, { "category": "cs.CV", "position_in_category": 24, "category_size": 237, "title": "Toward Markerless Video-based Tremor Analysis: Objective Quantification of Pathological Tremor in Mouse Preclinical Models", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Toward Markerless Video-based Tremor Analysis: Objective Quantification of Pathological Tremor in Mouse Preclinical Models: the #24 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/toward-markerless-video-based-tremor-analysis-objective-quantification-of-pathol.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/toward-markerless-video-based-tremor-analysis-objective-quantification-of-pathol.html", "arxiv_url": "https://arxiv.org/abs/2609.18753v1" }, { "category": "cs.CV", "position_in_category": 25, "category_size": 237, "title": "Geometry beneath the Waves: Dense Priors for Sparse-View Underwater 3D Gaussian Splatting", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Geometry beneath the Waves: Dense Priors for Sparse-View Underwater 3D Gaussian Splatting: the #25 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/geometry-beneath-the-waves-dense-priors-for-sparse-view-underwater-3d-gaussian-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/geometry-beneath-the-waves-dense-priors-for-sparse-view-underwater-3d-gaussian-s.html", "arxiv_url": "https://arxiv.org/abs/2609.18737v1" }, { "category": "cs.CV", "position_in_category": 26, "category_size": 237, "title": "Mask IPL: Noise-Free Intrinsic Position Learning via Computation Graph Clipping for Event-Based Spike-Driven Tracking", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Mask IPL: Noise-Free Intrinsic Position Learning via Computation Graph Clipping for Event-Based Spike-Driven Tracking: the #26 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mask-ipl-noise-free-intrinsic-position-learning-via-computation-graph-clipping-f.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mask-ipl-noise-free-intrinsic-position-learning-via-computation-graph-clipping-f.html", "arxiv_url": "https://arxiv.org/abs/2609.18716v1" }, { "category": "cs.CV", "position_in_category": 27, "category_size": 237, "title": "RankGround: Efficient High-Resolution GUI Grounding via Lightweight Reranker-Guided Crop Selection", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "RankGround: Efficient High-Resolution GUI Grounding via Lightweight Reranker-Guided Crop Selection: the #27 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rankground-efficient-high-resolution-gui-grounding-via-lightweight-reranker-guid.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rankground-efficient-high-resolution-gui-grounding-via-lightweight-reranker-guid.html", "arxiv_url": "https://arxiv.org/abs/2609.18690v1" }, { "category": "cs.CV", "position_in_category": 28, "category_size": 237, "title": "Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging: the #28 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/generalist-specialist-mixture-of-experts-for-rare-pathology-detection-in-multimo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/generalist-specialist-mixture-of-experts-for-rare-pathology-detection-in-multimo.html", "arxiv_url": "https://arxiv.org/abs/2609.18688v1" }, { "category": "cs.CV", "position_in_category": 29, "category_size": 237, "title": "Video-Based Markerless Motion Capture for Clinical and Rehabilitation Biomechanics: A PRISMA-ScR Scoping Review of Validated Architectures, Clinical Readiness, and Emerging Methods", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Video-Based Markerless Motion Capture for Clinical and Rehabilitation Biomechanics: A PRISMA-ScR Scoping Review of Validated Architectures, Clinical Readiness, and Emerging Methods: the #29 most recent of 237 cs.CV papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/video-based-markerless-motion-capture-for-clinical-and-rehabilitation-biomechani.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/video-based-markerless-motion-capture-for-clinical-and-rehabilitation-biomechani.html", "arxiv_url": "https://arxiv.org/abs/2609.18667v1" }, { "category": "cs.CL", "position_in_category": 13, "category_size": 186, "title": "PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection: the #13 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/panorama-panoptic-grounded-captioning-via-mask-proposal-selection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/panorama-panoptic-grounded-captioning-via-mask-proposal-selection.html", "arxiv_url": "https://arxiv.org/abs/2609.19143v1" }, { "category": "cs.CL", "position_in_category": 14, "category_size": 186, "title": "ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments: the #14 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scienceide-turning-world-s-scientific-codebase-into-agent-learnable-environments.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/scienceide-turning-world-s-scientific-codebase-into-agent-learnable-environments.html", "arxiv_url": "https://arxiv.org/abs/2609.19134v1" }, { "category": "cs.CL", "position_in_category": 15, "category_size": 186, "title": "Playing log(N)-Questions over Wikipedia Abstracts: Communication Efficiency Between Paired Frontier Models", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Playing log(N)-Questions over Wikipedia Abstracts: Communication Efficiency Between Paired Frontier Models: the #15 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/playing-log-n-questions-over-wikipedia-abstracts-communication-efficiency-betwee.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/playing-log-n-questions-over-wikipedia-abstracts-communication-efficiency-betwee.html", "arxiv_url": "https://arxiv.org/abs/2609.19113v1" }, { "category": "cs.CL", "position_in_category": 16, "category_size": 186, "title": "Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs: the #16 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/long-lived-characters-local-inference-incremental-memory-maintenance-for-game-np.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/long-lived-characters-local-inference-incremental-memory-maintenance-for-game-np.html", "arxiv_url": "https://arxiv.org/abs/2609.18935v1" }, { "category": "cs.CL", "position_in_category": 17, "category_size": 186, "title": "How Much is a Human Right Worth? ECtHR-NPD: A Benchmark for Predicting Non-Pecuniary Damage Awards", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "How Much is a Human Right Worth? ECtHR-NPD: A Benchmark for Predicting Non-Pecuniary Damage Awards: the #17 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-much-is-a-human-right-worth-ecthr-npd-a-benchmark-for-predicting-non-pecunia.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-much-is-a-human-right-worth-ecthr-npd-a-benchmark-for-predicting-non-pecunia.html", "arxiv_url": "https://arxiv.org/abs/2609.18908v1" }, { "category": "cs.CL", "position_in_category": 18, "category_size": 186, "title": "Structured Claim-Level Discourse Representations for Dense Health Narratives", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Structured Claim-Level Discourse Representations for Dense Health Narratives: the #18 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/structured-claim-level-discourse-representations-for-dense-health-narratives.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/structured-claim-level-discourse-representations-for-dense-health-narratives.html", "arxiv_url": "https://arxiv.org/abs/2609.18905v1" }, { "category": "cs.CL", "position_in_category": 19, "category_size": 186, "title": "PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning: the #19 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/personapath-towards-knowledge-centric-personalized-learning-path-planning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/personapath-towards-knowledge-centric-personalized-learning-path-planning.html", "arxiv_url": "https://arxiv.org/abs/2609.18861v1" }, { "category": "cs.CL", "position_in_category": 20, "category_size": 186, "title": "EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation: the #20 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evigen-predictive-evidence-scaffolding-for-verifiable-clinical-rationale-generat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evigen-predictive-evidence-scaffolding-for-verifiable-clinical-rationale-generat.html", "arxiv_url": "https://arxiv.org/abs/2609.18852v1" }, { "category": "cs.CL", "position_in_category": 21, "category_size": 186, "title": "ReFigBench: Benchmarking Scientific Figure Reconstruction as Editable PowerPoint Artifacts", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "ReFigBench: Benchmarking Scientific Figure Reconstruction as Editable PowerPoint Artifacts: the #21 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/refigbench-benchmarking-scientific-figure-reconstruction-as-editable-powerpoint-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/refigbench-benchmarking-scientific-figure-reconstruction-as-editable-powerpoint-.html", "arxiv_url": "https://arxiv.org/abs/2609.18844v1" }, { "category": "cs.CL", "position_in_category": 22, "category_size": 186, "title": "Using OCR Heads to Verbalize Image Semantics", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Using OCR Heads to Verbalize Image Semantics: the #22 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/using-ocr-heads-to-verbalize-image-semantics.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/using-ocr-heads-to-verbalize-image-semantics.html", "arxiv_url": "https://arxiv.org/abs/2609.18823v1" }, { "category": "cs.CL", "position_in_category": 23, "category_size": 186, "title": "Beyond frequency measures: Can contextual embeddings capture meaning change in scientific texts?", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Beyond frequency measures: Can contextual embeddings capture meaning change in scientific texts?: the #23 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-frequency-measures-can-contextual-embeddings-capture-meaning-change-in-sc.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-frequency-measures-can-contextual-embeddings-capture-meaning-change-in-sc.html", "arxiv_url": "https://arxiv.org/abs/2609.18804v1" }, { "category": "cs.CL", "position_in_category": 24, "category_size": 186, "title": "Zero-Shot Cross-Lingual Recognition of Sign Language Handshapes", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Zero-Shot Cross-Lingual Recognition of Sign Language Handshapes: the #24 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/zero-shot-cross-lingual-recognition-of-sign-language-handshapes.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/zero-shot-cross-lingual-recognition-of-sign-language-handshapes.html", "arxiv_url": "https://arxiv.org/abs/2609.18772v1" }, { "category": "cs.CL", "position_in_category": 25, "category_size": 186, "title": "FRAUDSkill: Structured Frozen-Weight Skill Optimization for Audio Anti-Fraud Detection", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "FRAUDSkill: Structured Frozen-Weight Skill Optimization for Audio Anti-Fraud Detection: the #25 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fraudskill-structured-frozen-weight-skill-optimization-for-audio-anti-fraud-dete.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fraudskill-structured-frozen-weight-skill-optimization-for-audio-anti-fraud-dete.html", "arxiv_url": "https://arxiv.org/abs/2609.18766v1" }, { "category": "cs.AI", "position_in_category": 21, "category_size": 300, "title": "Objective vs. Search: Decomposing What Makes a Good Tokeniser", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Objective vs. Search: Decomposing What Makes a Good Tokeniser: the #21 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/objective-vs-search-decomposing-what-makes-a-good-tokeniser.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/objective-vs-search-decomposing-what-makes-a-good-tokeniser.html", "arxiv_url": "https://arxiv.org/abs/2609.19145v1" }, { "category": "cs.AI", "position_in_category": 22, "category_size": 300, "title": "A Zeroth-Order Paradigm for LLM Preference Alignment", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "A Zeroth-Order Paradigm for LLM Preference Alignment: the #22 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-zeroth-order-paradigm-for-llm-preference-alignment.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-zeroth-order-paradigm-for-llm-preference-alignment.html", "arxiv_url": "https://arxiv.org/abs/2609.19144v1" }, { "category": "cs.AI", "position_in_category": 23, "category_size": 300, "title": "Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation: the #23 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dreaming-the-sound-of-contact-leveraging-video-and-audio-generation-for-zero-sho.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dreaming-the-sound-of-contact-leveraging-video-and-audio-generation-for-zero-sho.html", "arxiv_url": "https://arxiv.org/abs/2609.19137v1" }, { "category": "cs.AI", "position_in_category": 24, "category_size": 300, "title": "Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments: the #24 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cognitive-extensions-for-dual-process-language-agents-memory-and-self-reflection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cognitive-extensions-for-dual-process-language-agents-memory-and-self-reflection.html", "arxiv_url": "https://arxiv.org/abs/2609.19128v1" }, { "category": "cs.AI", "position_in_category": 25, "category_size": 300, "title": "Affora: A Design System for Agent-Friendly Interfaces", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Affora: A Design System for Agent-Friendly Interfaces: the #25 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/affora-a-design-system-for-agent-friendly-interfaces.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/affora-a-design-system-for-agent-friendly-interfaces.html", "arxiv_url": "https://arxiv.org/abs/2609.19125v1" }, { "category": "cs.AI", "position_in_category": 26, "category_size": 300, "title": "Flag Game: A Toy Model for Mechanistic Swarm Interpretability", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Flag Game: A Toy Model for Mechanistic Swarm Interpretability: the #26 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/flag-game-a-toy-model-for-mechanistic-swarm-interpretability.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/flag-game-a-toy-model-for-mechanistic-swarm-interpretability.html", "arxiv_url": "https://arxiv.org/abs/2609.19124v1" }, { "category": "cs.AI", "position_in_category": 27, "category_size": 300, "title": "rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference: the #27 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rmuscle-robotic-muscle-memory-for-efficient-vision-language-action-model-inferen.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rmuscle-robotic-muscle-memory-for-efficient-vision-language-action-model-inferen.html", "arxiv_url": "https://arxiv.org/abs/2609.19104v1" }, { "category": "cs.AI", "position_in_category": 28, "category_size": 300, "title": "Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria: the #28 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/prepared-or-unprepared-evaluating-healthcare-workforce-readiness-for-clinical-ad.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/prepared-or-unprepared-evaluating-healthcare-workforce-readiness-for-clinical-ad.html", "arxiv_url": "https://arxiv.org/abs/2609.19096v1" }, { "category": "cs.AI", "position_in_category": 29, "category_size": 300, "title": "Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation: the #29 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reporting-practice-matters-the-impact-of-reference-choice-on-chest-x-ray-report-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/reporting-practice-matters-the-impact-of-reference-choice-on-chest-x-ray-report-.html", "arxiv_url": "https://arxiv.org/abs/2609.19093v1" }, { "category": "cs.AI", "position_in_category": 30, "category_size": 300, "title": "Securing quantum error correction against misleading advice from AI agents", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Securing quantum error correction against misleading advice from AI agents: the #30 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/securing-quantum-error-correction-against-misleading-advice-from-ai-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/securing-quantum-error-correction-against-misleading-advice-from-ai-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.19090v1" }, { "category": "cs.AI", "position_in_category": 31, "category_size": 300, "title": "MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education: the #31 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/muse-benchmarking-large-vision-language-models-on-multi-modal-understanding-in-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/muse-benchmarking-large-vision-language-models-on-multi-modal-understanding-in-s.html", "arxiv_url": "https://arxiv.org/abs/2609.19088v1" }, { "category": "cs.AI", "position_in_category": 32, "category_size": 300, "title": "Probabilistic Linear Explanations", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Probabilistic Linear Explanations: the #32 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/probabilistic-linear-explanations.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/probabilistic-linear-explanations.html", "arxiv_url": "https://arxiv.org/abs/2609.19077v1" }, { "category": "cs.AI", "position_in_category": 33, "category_size": 300, "title": "Double descent is the principle of least action", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Double descent is the principle of least action: the #33 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/double-descent-is-the-principle-of-least-action.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/double-descent-is-the-principle-of-least-action.html", "arxiv_url": "https://arxiv.org/abs/2609.19076v1" }, { "category": "cs.AI", "position_in_category": 34, "category_size": 300, "title": "RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control: the #34 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rllbc-lib-an-educational-code-library-for-reinforcement-learning-and-learning-ba.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rllbc-lib-an-educational-code-library-for-reinforcement-learning-and-learning-ba.html", "arxiv_url": "https://arxiv.org/abs/2609.19074v1" }, { "category": "cs.AI", "position_in_category": 35, "category_size": 300, "title": "Social Laws for Multi-agent Coordination in Stochastic Environments", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Social Laws for Multi-agent Coordination in Stochastic Environments: the #35 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/social-laws-for-multi-agent-coordination-in-stochastic-environments.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/social-laws-for-multi-agent-coordination-in-stochastic-environments.html", "arxiv_url": "https://arxiv.org/abs/2609.18929v1" }, { "category": "cs.AI", "position_in_category": 36, "category_size": 300, "title": "Higher-order pruning of experts in mixture-of-experts language models", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Higher-order pruning of experts in mixture-of-experts language models: the #36 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/higher-order-pruning-of-experts-in-mixture-of-experts-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/higher-order-pruning-of-experts-in-mixture-of-experts-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.18916v1" }, { "category": "cs.AI", "position_in_category": 37, "category_size": 300, "title": "Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking: the #37 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-outcomes-dual-view-relational-learning-for-efficient-agent-benchmarking.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-outcomes-dual-view-relational-learning-for-efficient-agent-benchmarking.html", "arxiv_url": "https://arxiv.org/abs/2609.18909v1" }, { "category": "cs.AI", "position_in_category": 38, "category_size": 300, "title": "ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions: the #38 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/asleval-measuring-privacy-exposure-displacement-in-llm-agent-sessions.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/asleval-measuring-privacy-exposure-displacement-in-llm-agent-sessions.html", "arxiv_url": "https://arxiv.org/abs/2609.18864v1" }, { "category": "cs.AI", "position_in_category": 39, "category_size": 300, "title": "Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection: the #39 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/decodable-but-misrouted-sparse-features-uncover-a-readout-gap-in-vision-language.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/decodable-but-misrouted-sparse-features-uncover-a-readout-gap-in-vision-language.html", "arxiv_url": "https://arxiv.org/abs/2609.18860v1" }, { "category": "cs.AI", "position_in_category": 40, "category_size": 300, "title": "Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN", "published": "2026-09-16", "recorded_on": "2026-09-17", "citation": "Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN: the #40 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/taming-the-agentic-ran-stability-guaranteed-arbitration-of-autonomous-ai-agents-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/taming-the-agentic-ran-stability-guaranteed-arbitration-of-autonomous-ai-agents-.html", "arxiv_url": "https://arxiv.org/abs/2609.18857v1" }, { "category": "cs.LG", "position_in_category": 27, "category_size": 215, "title": "FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection: the #27 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/freqspanet-frequency-and-spatial-learning-of-sfpf-for-physical-layer-hardware-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/freqspanet-frequency-and-spatial-learning-of-sfpf-for-physical-layer-hardware-in.html", "arxiv_url": "https://arxiv.org/abs/2609.17491v1" }, { "category": "cs.LG", "position_in_category": 28, "category_size": 215, "title": "Bridging the Gap Between Homogeneous and Heterogeneous Asynchronous Optimization Is Surprisingly Difficult", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Bridging the Gap Between Homogeneous and Heterogeneous Asynchronous Optimization Is Surprisingly Difficult: the #28 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bridging-the-gap-between-homogeneous-and-heterogeneous-asynchronous-optimization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bridging-the-gap-between-homogeneous-and-heterogeneous-asynchronous-optimization.html", "arxiv_url": "https://arxiv.org/abs/2609.17483v1" }, { "category": "cs.LG", "position_in_category": 29, "category_size": 215, "title": "Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory: the #29 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bias-induced-crossover-in-absolute-capacity-of-dense-associative-memory.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bias-induced-crossover-in-absolute-capacity-of-dense-associative-memory.html", "arxiv_url": "https://arxiv.org/abs/2609.17477v1" }, { "category": "cs.LG", "position_in_category": 30, "category_size": 215, "title": "Tables Decoded: DELTA for Structure, TARQA for Understanding", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Tables Decoded: DELTA for Structure, TARQA for Understanding: the #30 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tables-decoded-delta-for-structure-tarqa-for-understanding.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tables-decoded-delta-for-structure-tarqa-for-understanding.html", "arxiv_url": "https://arxiv.org/abs/2609.17458v1" }, { "category": "cs.LG", "position_in_category": 31, "category_size": 215, "title": "Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models: the #31 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reduced-space-multi-fidelity-bayesian-optimization-of-process-simulation-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/reduced-space-multi-fidelity-bayesian-optimization-of-process-simulation-models.html", "arxiv_url": "https://arxiv.org/abs/2609.17440v1" }, { "category": "cs.LG", "position_in_category": 32, "category_size": 215, "title": "Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning: the #32 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bridging-the-confidence-gap-temperature-scaling-for-calibrating-test-time-prompt.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bridging-the-confidence-gap-temperature-scaling-for-calibrating-test-time-prompt.html", "arxiv_url": "https://arxiv.org/abs/2609.17386v1" }, { "category": "cs.LG", "position_in_category": 33, "category_size": 215, "title": "OPEN-1B: A Fully Auditable Training Run", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "OPEN-1B: A Fully Auditable Training Run: the #33 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/open-1b-a-fully-auditable-training-run.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/open-1b-a-fully-auditable-training-run.html", "arxiv_url": "https://arxiv.org/abs/2609.17380v1" }, { "category": "cs.LG", "position_in_category": 34, "category_size": 215, "title": "Large Language Models Develop Belief State Geometry In-Context", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Large Language Models Develop Belief State Geometry In-Context: the #34 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/large-language-models-develop-belief-state-geometry-in-context.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/large-language-models-develop-belief-state-geometry-in-context.html", "arxiv_url": "https://arxiv.org/abs/2609.17376v1" }, { "category": "cs.LG", "position_in_category": 35, "category_size": 215, "title": "Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction: the #35 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hybrid-variational-quantum-circuits-for-multivariate-regression-and-high-dimensi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hybrid-variational-quantum-circuits-for-multivariate-regression-and-high-dimensi.html", "arxiv_url": "https://arxiv.org/abs/2609.17358v1" }, { "category": "cs.LG", "position_in_category": 36, "category_size": 215, "title": "Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning: the #36 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/type-iv-code-clone-detection-via-layer-wise-non-contrastive-representation-learn.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/type-iv-code-clone-detection-via-layer-wise-non-contrastive-representation-learn.html", "arxiv_url": "https://arxiv.org/abs/2609.17338v1" }, { "category": "cs.LG", "position_in_category": 37, "category_size": 215, "title": "Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting: the #37 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quantum-inspired-trainable-and-parameter-efficient-tensor-networks-for-image-inp.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quantum-inspired-trainable-and-parameter-efficient-tensor-networks-for-image-inp.html", "arxiv_url": "https://arxiv.org/abs/2609.17298v1" }, { "category": "cs.LG", "position_in_category": 38, "category_size": 215, "title": "Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks: the #38 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/goal-oriented-probabilistic-forecasting-for-dynamic-prb-allocation-in-5g-network.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/goal-oriented-probabilistic-forecasting-for-dynamic-prb-allocation-in-5g-network.html", "arxiv_url": "https://arxiv.org/abs/2609.17297v1" }, { "category": "cs.LG", "position_in_category": 39, "category_size": 215, "title": "Conformal Policy Learning with Distribution-Free Safety Guarantees", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Conformal Policy Learning with Distribution-Free Safety Guarantees: the #39 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/conformal-policy-learning-with-distribution-free-safety-guarantees.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/conformal-policy-learning-with-distribution-free-safety-guarantees.html", "arxiv_url": "https://arxiv.org/abs/2609.17296v1" }, { "category": "cs.LG", "position_in_category": 40, "category_size": 215, "title": "Same Flow, Different Paths: Variance Reduction in Flow Matching", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Same Flow, Different Paths: Variance Reduction in Flow Matching: the #40 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/same-flow-different-paths-variance-reduction-in-flow-matching.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/same-flow-different-paths-variance-reduction-in-flow-matching.html", "arxiv_url": "https://arxiv.org/abs/2609.17287v1" }, { "category": "cs.LG", "position_in_category": 41, "category_size": 215, "title": "Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation: the #41 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/personalized-federated-learning-through-global-knowledge-distillation-and-local-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/personalized-federated-learning-through-global-knowledge-distillation-and-local-.html", "arxiv_url": "https://arxiv.org/abs/2609.17284v1" }, { "category": "cs.LG", "position_in_category": 42, "category_size": 215, "title": "Easy to Catch a Liar, Hard to Clear an Honest One: Language Models Diagnosing a Corrupted Reward Channel from a Verified Record", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Easy to Catch a Liar, Hard to Clear an Honest One: Language Models Diagnosing a Corrupted Reward Channel from a Verified Record: the #42 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/easy-to-catch-a-liar-hard-to-clear-an-honest-one-language-models-diagnosing-a-co.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/easy-to-catch-a-liar-hard-to-clear-an-honest-one-language-models-diagnosing-a-co.html", "arxiv_url": "https://arxiv.org/abs/2609.17226v1" }, { "category": "cs.LG", "position_in_category": 43, "category_size": 215, "title": "Memorisation bias in medical AI", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Memorisation bias in medical AI: the #43 most recent of 215 cs.LG papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/memorisation-bias-in-medical-ai.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/memorisation-bias-in-medical-ai.html", "arxiv_url": "https://arxiv.org/abs/2609.17223v1" }, { "category": "cs.CV", "position_in_category": 30, "category_size": 237, "title": "ORCA: Occlusion-Aware Refinement and Completion for Novel View Synthesis", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "ORCA: Occlusion-Aware Refinement and Completion for Novel View Synthesis: the #30 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/orca-occlusion-aware-refinement-and-completion-for-novel-view-synthesis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/orca-occlusion-aware-refinement-and-completion-for-novel-view-synthesis.html", "arxiv_url": "https://arxiv.org/abs/2609.17450v1" }, { "category": "cs.CV", "position_in_category": 31, "category_size": 237, "title": "BrainFocus: EEG-Guided ROI Selection for Efficient Vision-Language Models", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "BrainFocus: EEG-Guided ROI Selection for Efficient Vision-Language Models: the #31 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/brainfocus-eeg-guided-roi-selection-for-efficient-vision-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/brainfocus-eeg-guided-roi-selection-for-efficient-vision-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.17443v1" }, { "category": "cs.CV", "position_in_category": 32, "category_size": 237, "title": "SlotDiT: Object-Centric Representations for Diffusion Transformers", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "SlotDiT: Object-Centric Representations for Diffusion Transformers: the #32 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/slotdit-object-centric-representations-for-diffusion-transformers.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/slotdit-object-centric-representations-for-diffusion-transformers.html", "arxiv_url": "https://arxiv.org/abs/2609.17414v1" }, { "category": "cs.CV", "position_in_category": 33, "category_size": 237, "title": "SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion: the #33 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ssc-priors-exploring-semantic-and-visibility-priors-to-boost-lidar-semantic-scen.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ssc-priors-exploring-semantic-and-visibility-priors-to-boost-lidar-semantic-scen.html", "arxiv_url": "https://arxiv.org/abs/2609.17413v1" }, { "category": "cs.CV", "position_in_category": 34, "category_size": 237, "title": "PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM: the #34 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/panogs-slam-panoramic-3d-gaussian-splatting-slam.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/panogs-slam-panoramic-3d-gaussian-splatting-slam.html", "arxiv_url": "https://arxiv.org/abs/2609.17387v1" }, { "category": "cs.CV", "position_in_category": 35, "category_size": 237, "title": "Optical-Flow Wingbeat Counting in MuJoCo: A Comparison of Convolutional, Spiking, and Attention-Based Temporal Models", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Optical-Flow Wingbeat Counting in MuJoCo: A Comparison of Convolutional, Spiking, and Attention-Based Temporal Models: the #35 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/optical-flow-wingbeat-counting-in-mujoco-a-comparison-of-convolutional-spiking-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/optical-flow-wingbeat-counting-in-mujoco-a-comparison-of-convolutional-spiking-a.html", "arxiv_url": "https://arxiv.org/abs/2609.17308v1" }, { "category": "cs.CV", "position_in_category": 36, "category_size": 237, "title": "Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language Models", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language Models: the #36 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semantic-spatial-agreement-verification-for-mitigating-object-hallucination-in-m.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/semantic-spatial-agreement-verification-for-mitigating-object-hallucination-in-m.html", "arxiv_url": "https://arxiv.org/abs/2609.17269v1" }, { "category": "cs.CV", "position_in_category": 37, "category_size": 237, "title": "Exploring 2D backbone effects for indoor semantic occupancy prediction", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Exploring 2D backbone effects for indoor semantic occupancy prediction: the #37 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/exploring-2d-backbone-effects-for-indoor-semantic-occupancy-prediction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/exploring-2d-backbone-effects-for-indoor-semantic-occupancy-prediction.html", "arxiv_url": "https://arxiv.org/abs/2609.17257v1" }, { "category": "cs.CV", "position_in_category": 38, "category_size": 237, "title": "Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?: the #38 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/video-holmesv2-can-mllms-reason-with-spatio-temporal-audio-visual-evidence-in-lo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/video-holmesv2-can-mllms-reason-with-spatio-temporal-audio-visual-evidence-in-lo.html", "arxiv_url": "https://arxiv.org/abs/2609.17248v1" }, { "category": "cs.CV", "position_in_category": 39, "category_size": 237, "title": "DecoGS: Adaptive Static-Dynamic Decoupling of 3D Gaussians for Free-Viewpoint Video Streaming", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "DecoGS: Adaptive Static-Dynamic Decoupling of 3D Gaussians for Free-Viewpoint Video Streaming: the #39 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/decogs-adaptive-static-dynamic-decoupling-of-3d-gaussians-for-free-viewpoint-vid.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/decogs-adaptive-static-dynamic-decoupling-of-3d-gaussians-for-free-viewpoint-vid.html", "arxiv_url": "https://arxiv.org/abs/2609.17230v1" }, { "category": "cs.CV", "position_in_category": 40, "category_size": 237, "title": "FROD: Feature Matching Residual Denoising Oracle Bone Decipher", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "FROD: Feature Matching Residual Denoising Oracle Bone Decipher: the #40 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/frod-feature-matching-residual-denoising-oracle-bone-decipher.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/frod-feature-matching-residual-denoising-oracle-bone-decipher.html", "arxiv_url": "https://arxiv.org/abs/2609.17227v1" }, { "category": "cs.CV", "position_in_category": 41, "category_size": 237, "title": "InfoTaxa: Information-Calibrated Label-Free Clustering for Fine-Grained Visual Taxonomy", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "InfoTaxa: Information-Calibrated Label-Free Clustering for Fine-Grained Visual Taxonomy: the #41 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/infotaxa-information-calibrated-label-free-clustering-for-fine-grained-visual-ta.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/infotaxa-information-calibrated-label-free-clustering-for-fine-grained-visual-ta.html", "arxiv_url": "https://arxiv.org/abs/2609.17218v1" }, { "category": "cs.CV", "position_in_category": 42, "category_size": 237, "title": "Probe-VAD: Ordinal Likelihood Probing for Training-Free Video Anomaly Detection", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Probe-VAD: Ordinal Likelihood Probing for Training-Free Video Anomaly Detection: the #42 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/probe-vad-ordinal-likelihood-probing-for-training-free-video-anomaly-detection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/probe-vad-ordinal-likelihood-probing-for-training-free-video-anomaly-detection.html", "arxiv_url": "https://arxiv.org/abs/2609.17211v1" }, { "category": "cs.CV", "position_in_category": 43, "category_size": 237, "title": "EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset: the #43 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/eventegohands-event-based-egocentric-3d-hand-mesh-reconstruction-with-real-datas.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/eventegohands-event-based-egocentric-3d-hand-mesh-reconstruction-with-real-datas.html", "arxiv_url": "https://arxiv.org/abs/2609.17189v1" }, { "category": "cs.CV", "position_in_category": 44, "category_size": 237, "title": "Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM: the #44 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multimodal-cultural-heritage-architectural-style-classification-for-residential-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multimodal-cultural-heritage-architectural-style-classification-for-residential-.html", "arxiv_url": "https://arxiv.org/abs/2609.17181v1" }, { "category": "cs.CL", "position_in_category": 26, "category_size": 186, "title": "What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity: the #26 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/what-breaks-under-pruning-in-smart-homes-and-when-evaluating-llm-degradation-acr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/what-breaks-under-pruning-in-smart-homes-and-when-evaluating-llm-degradation-acr.html", "arxiv_url": "https://arxiv.org/abs/2609.17515v1" }, { "category": "cs.CL", "position_in_category": 27, "category_size": 186, "title": "Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM: the #27 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/right-tool-right-job-native-language-evaluation-tokenizer-sensitivity-and-method.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/right-tool-right-job-native-language-evaluation-tokenizer-sensitivity-and-method.html", "arxiv_url": "https://arxiv.org/abs/2609.17435v1" }, { "category": "cs.CL", "position_in_category": 28, "category_size": 186, "title": "Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation: the #28 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/enhancing-accessibility-of-medical-texts-through-large-language-model-driven-pla.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/enhancing-accessibility-of-medical-texts-through-large-language-model-driven-pla.html", "arxiv_url": "https://arxiv.org/abs/2609.17398v1" }, { "category": "cs.CL", "position_in_category": 29, "category_size": 186, "title": "ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue: the #29 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/echo-a-matched-contrast-benchmark-for-context-sensitive-turn-taking-in-full-dupl.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/echo-a-matched-contrast-benchmark-for-context-sensitive-turn-taking-in-full-dupl.html", "arxiv_url": "https://arxiv.org/abs/2609.17360v1" }, { "category": "cs.CL", "position_in_category": 30, "category_size": 186, "title": "Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs: the #30 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vroom-vroom-at-shroom-visions-a-multi-judge-committee-for-detecting-hallucinated.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/vroom-vroom-at-shroom-visions-a-multi-judge-committee-for-detecting-hallucinated.html", "arxiv_url": "https://arxiv.org/abs/2609.17327v1" }, { "category": "cs.CL", "position_in_category": 31, "category_size": 186, "title": "Towards Detecting AI-Assisted Responses in Online Surveys", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Towards Detecting AI-Assisted Responses in Online Surveys: the #31 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-detecting-ai-assisted-responses-in-online-surveys.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/towards-detecting-ai-assisted-responses-in-online-surveys.html", "arxiv_url": "https://arxiv.org/abs/2609.17317v1" }, { "category": "cs.CL", "position_in_category": 32, "category_size": 186, "title": "Zero-shot narrative detection in social messaging", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Zero-shot narrative detection in social messaging: the #32 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/zero-shot-narrative-detection-in-social-messaging.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/zero-shot-narrative-detection-in-social-messaging.html", "arxiv_url": "https://arxiv.org/abs/2609.17310v1" }, { "category": "cs.CL", "position_in_category": 33, "category_size": 186, "title": "Towards Illusions Awareness in Cyber-Physical System's Design", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Towards Illusions Awareness in Cyber-Physical System's Design: the #33 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-illusions-awareness-in-cyber-physical-system-s-design.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/towards-illusions-awareness-in-cyber-physical-system-s-design.html", "arxiv_url": "https://arxiv.org/abs/2609.17260v1" }, { "category": "cs.CL", "position_in_category": 34, "category_size": 186, "title": "Persistent Recurrent Memory Between Transformer Layers - Improves Language Model Generalization", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Persistent Recurrent Memory Between Transformer Layers - Improves Language Model Generalization: the #34 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/persistent-recurrent-memory-between-transformer-layers-improves-language-model-g.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/persistent-recurrent-memory-between-transformer-layers-improves-language-model-g.html", "arxiv_url": "https://arxiv.org/abs/2609.17251v1" }, { "category": "cs.CL", "position_in_category": 35, "category_size": 186, "title": "ECHO: Early-layer Collaborative Hierarchical Orchestration with Bonus Logits in Speculative Decoding", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "ECHO: Early-layer Collaborative Hierarchical Orchestration with Bonus Logits in Speculative Decoding: the #35 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/echo-early-layer-collaborative-hierarchical-orchestration-with-bonus-logits-in-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/echo-early-layer-collaborative-hierarchical-orchestration-with-bonus-logits-in-s.html", "arxiv_url": "https://arxiv.org/abs/2609.17241v1" }, { "category": "cs.CL", "position_in_category": 36, "category_size": 186, "title": "AraMIP: Extending MIPVU Towards Metaphor Identification in Arabic", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "AraMIP: Extending MIPVU Towards Metaphor Identification in Arabic: the #36 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/aramip-extending-mipvu-towards-metaphor-identification-in-arabic.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/aramip-extending-mipvu-towards-metaphor-identification-in-arabic.html", "arxiv_url": "https://arxiv.org/abs/2609.17235v1" }, { "category": "cs.CL", "position_in_category": 37, "category_size": 186, "title": "Psychological Effects of Cultural Upheavals from Millions of Song Lyrics Over 100 Years", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Psychological Effects of Cultural Upheavals from Millions of Song Lyrics Over 100 Years: the #37 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/psychological-effects-of-cultural-upheavals-from-millions-of-song-lyrics-over-10.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/psychological-effects-of-cultural-upheavals-from-millions-of-song-lyrics-over-10.html", "arxiv_url": "https://arxiv.org/abs/2609.17225v1" }, { "category": "cs.AI", "position_in_category": 41, "category_size": 300, "title": "Agentic Societies Need a Social Harness", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Agentic Societies Need a Social Harness: the #41 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agentic-societies-need-a-social-harness.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/agentic-societies-need-a-social-harness.html", "arxiv_url": "https://arxiv.org/abs/2609.17527v1" }, { "category": "cs.AI", "position_in_category": 42, "category_size": 300, "title": "ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents: the #42 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sciencebuddy-recursive-in-recursive-self-improvement-for-interactive-scientific-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sciencebuddy-recursive-in-recursive-self-improvement-for-interactive-scientific-.html", "arxiv_url": "https://arxiv.org/abs/2609.17523v1" }, { "category": "cs.AI", "position_in_category": 43, "category_size": 300, "title": "PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control: the #43 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/physstream-streaming-physics-grounded-video-generation-with-structured-scene-mem.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/physstream-streaming-physics-grounded-video-generation-with-structured-scene-mem.html", "arxiv_url": "https://arxiv.org/abs/2609.17521v1" }, { "category": "cs.AI", "position_in_category": 44, "category_size": 300, "title": "When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control: the #44 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-should-llms-abstain-chain-of-self-questioning-for-selective-risk-control.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-should-llms-abstain-chain-of-self-questioning-for-selective-risk-control.html", "arxiv_url": "https://arxiv.org/abs/2609.17516v1" }, { "category": "cs.AI", "position_in_category": 45, "category_size": 300, "title": "LACE: Layer-Wise Compression for Dynamic Frame Rate Codecs", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "LACE: Layer-Wise Compression for Dynamic Frame Rate Codecs: the #45 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lace-layer-wise-compression-for-dynamic-frame-rate-codecs.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/lace-layer-wise-compression-for-dynamic-frame-rate-codecs.html", "arxiv_url": "https://arxiv.org/abs/2609.17509v1" }, { "category": "cs.AI", "position_in_category": 46, "category_size": 300, "title": "ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation: the #46 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/encp-episode-normalized-conformal-prediction-for-vision-and-language-navigation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/encp-episode-normalized-conformal-prediction-for-vision-and-language-navigation.html", "arxiv_url": "https://arxiv.org/abs/2609.17499v1" }, { "category": "cs.AI", "position_in_category": 47, "category_size": 300, "title": "Verifiable Social Reasoning for LLM Assistants", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Verifiable Social Reasoning for LLM Assistants: the #47 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/verifiable-social-reasoning-for-llm-assistants.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/verifiable-social-reasoning-for-llm-assistants.html", "arxiv_url": "https://arxiv.org/abs/2609.17496v1" }, { "category": "cs.AI", "position_in_category": 48, "category_size": 300, "title": "LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence: the #48 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/limix-2-a-contextual-mechanism-network-towards-general-structured-data-intellige.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/limix-2-a-contextual-mechanism-network-towards-general-structured-data-intellige.html", "arxiv_url": "https://arxiv.org/abs/2609.17488v1" }, { "category": "cs.AI", "position_in_category": 49, "category_size": 300, "title": "Det-LIME: Detector-Aware, Multi-Instance Local Interpretable Model-Agnostic Explanations for Automated Marine Mammal Detection", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Det-LIME: Detector-Aware, Multi-Instance Local Interpretable Model-Agnostic Explanations for Automated Marine Mammal Detection: the #49 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/det-lime-detector-aware-multi-instance-local-interpretable-model-agnostic-explan.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/det-lime-detector-aware-multi-instance-local-interpretable-model-agnostic-explan.html", "arxiv_url": "https://arxiv.org/abs/2609.17479v1" }, { "category": "cs.AI", "position_in_category": 50, "category_size": 300, "title": "JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management: the #50 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/justfit-200k-token-llm-serving-on-a-24-gib-laptop-with-just-in-time-state-manage.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/justfit-200k-token-llm-serving-on-a-24-gib-laptop-with-just-in-time-state-manage.html", "arxiv_url": "https://arxiv.org/abs/2609.17475v1" }, { "category": "cs.AI", "position_in_category": 51, "category_size": 300, "title": "Coupled Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward Feedback", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Coupled Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward Feedback: the #51 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coupled-calibration-and-learning-mitigating-teacher-bias-in-llm-distillation-wit.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/coupled-calibration-and-learning-mitigating-teacher-bias-in-llm-distillation-wit.html", "arxiv_url": "https://arxiv.org/abs/2609.17474v1" }, { "category": "cs.AI", "position_in_category": 52, "category_size": 300, "title": "Decomposition Buys Integrity, Not Yield", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Decomposition Buys Integrity, Not Yield: the #52 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/decomposition-buys-integrity-not-yield.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/decomposition-buys-integrity-not-yield.html", "arxiv_url": "https://arxiv.org/abs/2609.17464v1" }, { "category": "cs.AI", "position_in_category": 53, "category_size": 300, "title": "Evaluating Verified Autonomy in Quantum Engineering", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Evaluating Verified Autonomy in Quantum Engineering: the #53 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluating-verified-autonomy-in-quantum-engineering.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evaluating-verified-autonomy-in-quantum-engineering.html", "arxiv_url": "https://arxiv.org/abs/2609.17439v1" }, { "category": "cs.AI", "position_in_category": 54, "category_size": 300, "title": "CareMirror: Bringing Caregiver Wellbeing into the Dementia Care Ecosystem", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "CareMirror: Bringing Caregiver Wellbeing into the Dementia Care Ecosystem: the #54 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/caremirror-bringing-caregiver-wellbeing-into-the-dementia-care-ecosystem.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/caremirror-bringing-caregiver-wellbeing-into-the-dementia-care-ecosystem.html", "arxiv_url": "https://arxiv.org/abs/2609.17434v1" }, { "category": "cs.AI", "position_in_category": 55, "category_size": 300, "title": "Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging: the #55 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-guided-planning-in-large-dynamic-action-spaces-budgeted-tree-search-for.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-guided-planning-in-large-dynamic-action-spaces-budgeted-tree-search-for.html", "arxiv_url": "https://arxiv.org/abs/2609.17429v1" }, { "category": "cs.AI", "position_in_category": 56, "category_size": 300, "title": "Tracking the Unseen: An Occlusion-Robust Framework for Target Tracking Under Full and Long-Term Occlusion", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Tracking the Unseen: An Occlusion-Robust Framework for Target Tracking Under Full and Long-Term Occlusion: the #56 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tracking-the-unseen-an-occlusion-robust-framework-for-target-tracking-under-full.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tracking-the-unseen-an-occlusion-robust-framework-for-target-tracking-under-full.html", "arxiv_url": "https://arxiv.org/abs/2609.17427v1" }, { "category": "cs.AI", "position_in_category": 57, "category_size": 300, "title": "Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead: the #57 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coding-agents-have-converged-why-the-swe-bench-leaderboard-can-no-longer-order-i.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/coding-agents-have-converged-why-the-swe-bench-leaderboard-can-no-longer-order-i.html", "arxiv_url": "https://arxiv.org/abs/2609.17394v1" }, { "category": "cs.AI", "position_in_category": 58, "category_size": 300, "title": "FlashVector: Agent for Hierarchical Model Serving Stack Optimization", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "FlashVector: Agent for Hierarchical Model Serving Stack Optimization: the #58 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/flashvector-agent-for-hierarchical-model-serving-stack-optimization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/flashvector-agent-for-hierarchical-model-serving-stack-optimization.html", "arxiv_url": "https://arxiv.org/abs/2609.17391v1" }, { "category": "cs.AI", "position_in_category": 59, "category_size": 300, "title": "Where Should a Document Live: Context, Representations, or Parameters?", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Where Should a Document Live: Context, Representations, or Parameters?: the #59 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/where-should-a-document-live-context-representations-or-parameters.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/where-should-a-document-live-context-representations-or-parameters.html", "arxiv_url": "https://arxiv.org/abs/2609.17346v1" }, { "category": "cs.AI", "position_in_category": 60, "category_size": 300, "title": "Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-Modeling", "published": "2026-09-15", "recorded_on": "2026-09-16", "citation": "Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-Modeling: the #60 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/self-emergence-agent-architecture-behavior-inertia-hmm-reflexive-metacognition-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/self-emergence-agent-architecture-behavior-inertia-hmm-reflexive-metacognition-a.html", "arxiv_url": "https://arxiv.org/abs/2609.17331v1" }, { "category": "cs.LG", "position_in_category": 44, "category_size": 215, "title": "Bellman Policy Optimization", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Bellman Policy Optimization: the #44 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bellman-policy-optimization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bellman-policy-optimization.html", "arxiv_url": "https://arxiv.org/abs/2609.15987v1" }, { "category": "cs.LG", "position_in_category": 45, "category_size": 215, "title": "A Chosen Future Can Still Be Rewritten: Causal Writability in Video Models", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "A Chosen Future Can Still Be Rewritten: Causal Writability in Video Models: the #45 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-chosen-future-can-still-be-rewritten-causal-writability-in-video-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-chosen-future-can-still-be-rewritten-causal-writability-in-video-models.html", "arxiv_url": "https://arxiv.org/abs/2609.15980v1" }, { "category": "cs.LG", "position_in_category": 46, "category_size": 215, "title": "Disentangling Representation Evolution in Transformers through Directional Decomposition", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Disentangling Representation Evolution in Transformers through Directional Decomposition: the #46 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/disentangling-representation-evolution-in-transformers-through-directional-decom.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/disentangling-representation-evolution-in-transformers-through-directional-decom.html", "arxiv_url": "https://arxiv.org/abs/2609.15975v1" }, { "category": "cs.LG", "position_in_category": 47, "category_size": 215, "title": "Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States: the #47 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mind2dialogue-training-human-aware-language-models-by-simulating-user-mental-sta.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mind2dialogue-training-human-aware-language-models-by-simulating-user-mental-sta.html", "arxiv_url": "https://arxiv.org/abs/2609.15972v1" }, { "category": "cs.LG", "position_in_category": 48, "category_size": 215, "title": "Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication: the #48 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/privacy-aligned-personalized-federated-learning-with-compact-adaptation-and-vari.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/privacy-aligned-personalized-federated-learning-with-compact-adaptation-and-vari.html", "arxiv_url": "https://arxiv.org/abs/2609.15950v1" }, { "category": "cs.LG", "position_in_category": 49, "category_size": 215, "title": "Safe Meta-Reinforcement Learning via Information Space Reachability", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Safe Meta-Reinforcement Learning via Information Space Reachability: the #49 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/safe-meta-reinforcement-learning-via-information-space-reachability.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/safe-meta-reinforcement-learning-via-information-space-reachability.html", "arxiv_url": "https://arxiv.org/abs/2609.15915v1" }, { "category": "cs.LG", "position_in_category": 50, "category_size": 215, "title": "Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning: the #50 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/discrete-beckmann-transport-models-for-one-step-language-modeling-and-reasoning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/discrete-beckmann-transport-models-for-one-step-language-modeling-and-reasoning.html", "arxiv_url": "https://arxiv.org/abs/2609.15903v1" }, { "category": "cs.LG", "position_in_category": 51, "category_size": 215, "title": "Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning: the #51 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bridging-control-inference-transport-and-thermodynamics-from-theory-to-applicati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bridging-control-inference-transport-and-thermodynamics-from-theory-to-applicati.html", "arxiv_url": "https://arxiv.org/abs/2609.15897v1" }, { "category": "cs.LG", "position_in_category": 52, "category_size": 215, "title": "Quenched Ensemble Sampling", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Quenched Ensemble Sampling: the #52 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quenched-ensemble-sampling.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quenched-ensemble-sampling.html", "arxiv_url": "https://arxiv.org/abs/2609.15894v1" }, { "category": "cs.LG", "position_in_category": 53, "category_size": 215, "title": "Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start: the #53 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/thin-shell-stability-of-gaussian-cooling-logconcave-sampling-with-sesteric-compl.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/thin-shell-stability-of-gaussian-cooling-logconcave-sampling-with-sesteric-compl.html", "arxiv_url": "https://arxiv.org/abs/2609.15884v1" }, { "category": "cs.LG", "position_in_category": 54, "category_size": 215, "title": "Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations: the #54 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/task-directed-residual-addunet-perfect-reconstruction-routing-for-full-rate-repr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/task-directed-residual-addunet-perfect-reconstruction-routing-for-full-rate-repr.html", "arxiv_url": "https://arxiv.org/abs/2609.15857v1" }, { "category": "cs.LG", "position_in_category": 55, "category_size": 215, "title": "Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence: the #55 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/proportional-fair-resource-allocation-and-dual-threshold-early-exit-inference-fo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/proportional-fair-resource-allocation-and-dual-threshold-early-exit-inference-fo.html", "arxiv_url": "https://arxiv.org/abs/2609.15847v1" }, { "category": "cs.CV", "position_in_category": 45, "category_size": 237, "title": "LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows: the #45 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lynnreal-omni-native-multi-modal-video-generation-for-agentic-visual-workflows.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/lynnreal-omni-native-multi-modal-video-generation-for-agentic-visual-workflows.html", "arxiv_url": "https://arxiv.org/abs/2609.15863v1" }, { "category": "cs.CV", "position_in_category": 46, "category_size": 237, "title": "TRACE: Two-Stage Detector-Response Estimation With Angular Cosine Expansion for Ring Artifact Correction in Photon-Counting CT", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "TRACE: Two-Stage Detector-Response Estimation With Angular Cosine Expansion for Ring Artifact Correction in Photon-Counting CT: the #46 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/trace-two-stage-detector-response-estimation-with-angular-cosine-expansion-for-r.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/trace-two-stage-detector-response-estimation-with-angular-cosine-expansion-for-r.html", "arxiv_url": "https://arxiv.org/abs/2609.15834v1" }, { "category": "cs.CV", "position_in_category": 47, "category_size": 237, "title": "Integrating Multi-view Multi-light Surface Reconstruction into Cultural Heritage Workflows", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Integrating Multi-view Multi-light Surface Reconstruction into Cultural Heritage Workflows: the #47 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/integrating-multi-view-multi-light-surface-reconstruction-into-cultural-heritage.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/integrating-multi-view-multi-light-surface-reconstruction-into-cultural-heritage.html", "arxiv_url": "https://arxiv.org/abs/2609.15833v1" }, { "category": "cs.CV", "position_in_category": 48, "category_size": 237, "title": "VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention: the #48 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vc-attention-value-smoothing-and-softmax-casting-for-low-bit-attention.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/vc-attention-value-smoothing-and-softmax-casting-for-low-bit-attention.html", "arxiv_url": "https://arxiv.org/abs/2609.15810v1" }, { "category": "cs.CV", "position_in_category": 49, "category_size": 237, "title": "SURE-Map: Self-Correcting Streaming Geometric Foundation Model", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "SURE-Map: Self-Correcting Streaming Geometric Foundation Model: the #49 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sure-map-self-correcting-streaming-geometric-foundation-model.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sure-map-self-correcting-streaming-geometric-foundation-model.html", "arxiv_url": "https://arxiv.org/abs/2609.15795v1" }, { "category": "cs.CV", "position_in_category": 50, "category_size": 237, "title": "TopoRig: Topology-Agnostic Facial Rigging via Multi-Source Supervision", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "TopoRig: Topology-Agnostic Facial Rigging via Multi-Source Supervision: the #50 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/toporig-topology-agnostic-facial-rigging-via-multi-source-supervision.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/toporig-topology-agnostic-facial-rigging-via-multi-source-supervision.html", "arxiv_url": "https://arxiv.org/abs/2609.15746v1" }, { "category": "cs.CV", "position_in_category": 51, "category_size": 237, "title": "Transforming harmonic coefficients for 3D splat compression", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Transforming harmonic coefficients for 3D splat compression: the #51 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/transforming-harmonic-coefficients-for-3d-splat-compression.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/transforming-harmonic-coefficients-for-3d-splat-compression.html", "arxiv_url": "https://arxiv.org/abs/2609.15735v1" }, { "category": "cs.CV", "position_in_category": 52, "category_size": 237, "title": "Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands: the #52 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bench2dex-benchmarking-visuo-tactile-bimanual-dexterous-manipulation-across-dext.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bench2dex-benchmarking-visuo-tactile-bimanual-dexterous-manipulation-across-dext.html", "arxiv_url": "https://arxiv.org/abs/2609.15726v1" }, { "category": "cs.CV", "position_in_category": 53, "category_size": 237, "title": "Predicting build orientation for SLM dental parts: a comparison of rotation representations and direct vector regression", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Predicting build orientation for SLM dental parts: a comparison of rotation representations and direct vector regression: the #53 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/predicting-build-orientation-for-slm-dental-parts-a-comparison-of-rotation-repre.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/predicting-build-orientation-for-slm-dental-parts-a-comparison-of-rotation-repre.html", "arxiv_url": "https://arxiv.org/abs/2609.15710v1" }, { "category": "cs.CV", "position_in_category": 54, "category_size": 237, "title": "Can a Neural Encoding Model Replicate an fMRI Visualization Study?", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Can a Neural Encoding Model Replicate an fMRI Visualization Study?: the #54 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-a-neural-encoding-model-replicate-an-fmri-visualization-study.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-a-neural-encoding-model-replicate-an-fmri-visualization-study.html", "arxiv_url": "https://arxiv.org/abs/2609.15685v1" }, { "category": "cs.CV", "position_in_category": 55, "category_size": 237, "title": "V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agents in Interactive Environments", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agents in Interactive Environments: the #55 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/v-ical-bench-evaluating-video-in-context-learning-for-multimodal-agents-in-inter.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/v-ical-bench-evaluating-video-in-context-learning-for-multimodal-agents-in-inter.html", "arxiv_url": "https://arxiv.org/abs/2609.15683v1" }, { "category": "cs.CV", "position_in_category": 56, "category_size": 237, "title": "MambaMPD: A Mamba-Driven Segmentation Framework for Marine Pollution Detection from Remote Sensing Imagery", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "MambaMPD: A Mamba-Driven Segmentation Framework for Marine Pollution Detection from Remote Sensing Imagery: the #56 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mambampd-a-mamba-driven-segmentation-framework-for-marine-pollution-detection-fr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mambampd-a-mamba-driven-segmentation-framework-for-marine-pollution-detection-fr.html", "arxiv_url": "https://arxiv.org/abs/2609.15676v1" }, { "category": "cs.CV", "position_in_category": 57, "category_size": 237, "title": "Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models: the #57 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/don-t-send-what-you-don-t-need-question-guided-token-pruning-as-a-privacy-defens.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/don-t-send-what-you-don-t-need-question-guided-token-pruning-as-a-privacy-defens.html", "arxiv_url": "https://arxiv.org/abs/2609.15671v1" }, { "category": "cs.CV", "position_in_category": 58, "category_size": 237, "title": "Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration: the #58 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benchmarking-intra-patient-3d-deformable-multimodal-image-registration.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/benchmarking-intra-patient-3d-deformable-multimodal-image-registration.html", "arxiv_url": "https://arxiv.org/abs/2609.15669v1" }, { "category": "cs.CV", "position_in_category": 59, "category_size": 237, "title": "Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic Understanding", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic Understanding: the #59 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/circuit-mllm-topological-logic-guided-latent-space-visual-reasoning-for-circuit-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/circuit-mllm-topological-logic-guided-latent-space-visual-reasoning-for-circuit-.html", "arxiv_url": "https://arxiv.org/abs/2609.15668v1" }, { "category": "cs.CV", "position_in_category": 60, "category_size": 237, "title": "Kaininja: Extending Native 3D Generators to the Part Level", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Kaininja: Extending Native 3D Generators to the Part Level: the #60 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/kaininja-extending-native-3d-generators-to-the-part-level.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/kaininja-extending-native-3d-generators-to-the-part-level.html", "arxiv_url": "https://arxiv.org/abs/2609.15659v1" }, { "category": "cs.CV", "position_in_category": 61, "category_size": 237, "title": "From Model Patterns to Abstract Semantics in Compositional Zero-Shot Learning", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "From Model Patterns to Abstract Semantics in Compositional Zero-Shot Learning: the #61 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-model-patterns-to-abstract-semantics-in-compositional-zero-shot-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-model-patterns-to-abstract-semantics-in-compositional-zero-shot-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.15649v1" }, { "category": "cs.CL", "position_in_category": 38, "category_size": 186, "title": "Discovery Foundation Models: Toward Open-Ended Discovery Intelligence", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Discovery Foundation Models: Toward Open-Ended Discovery Intelligence: the #38 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/discovery-foundation-models-toward-open-ended-discovery-intelligence.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/discovery-foundation-models-toward-open-ended-discovery-intelligence.html", "arxiv_url": "https://arxiv.org/abs/2609.15973v1" }, { "category": "cs.CL", "position_in_category": 39, "category_size": 186, "title": "Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering: the #39 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/verifiable-by-construction-claim-level-evaluation-of-verbatim-citation-in-clinic.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/verifiable-by-construction-claim-level-evaluation-of-verbatim-citation-in-clinic.html", "arxiv_url": "https://arxiv.org/abs/2609.15964v1" }, { "category": "cs.CL", "position_in_category": 40, "category_size": 186, "title": "HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses: the #40 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hypoevolve-genetic-algorithms-enable-multi-agent-llms-to-discover-scientific-hyp.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hypoevolve-genetic-algorithms-enable-multi-agent-llms-to-discover-scientific-hyp.html", "arxiv_url": "https://arxiv.org/abs/2609.15938v1" }, { "category": "cs.CL", "position_in_category": 41, "category_size": 186, "title": "Inoculation Midtraining with Learned Neologisms", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Inoculation Midtraining with Learned Neologisms: the #41 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/inoculation-midtraining-with-learned-neologisms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/inoculation-midtraining-with-learned-neologisms.html", "arxiv_url": "https://arxiv.org/abs/2609.15886v1" }, { "category": "cs.CL", "position_in_category": 42, "category_size": 186, "title": "Learning to Coach for Experiential Learning", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Learning to Coach for Experiential Learning: the #42 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-to-coach-for-experiential-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-to-coach-for-experiential-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.15851v1" }, { "category": "cs.CL", "position_in_category": 43, "category_size": 186, "title": "EvoOntology: A Self-Evolving Ontology Layer for Data Agents", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "EvoOntology: A Self-Evolving Ontology Layer for Data Agents: the #43 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evoontology-a-self-evolving-ontology-layer-for-data-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evoontology-a-self-evolving-ontology-layer-for-data-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.15779v1" }, { "category": "cs.CL", "position_in_category": 44, "category_size": 186, "title": "Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models: the #44 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/enabling-streaming-user-transcription-in-full-duplex-speech-to-speech-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/enabling-streaming-user-transcription-in-full-duplex-speech-to-speech-models.html", "arxiv_url": "https://arxiv.org/abs/2609.15759v1" }, { "category": "cs.CL", "position_in_category": 45, "category_size": 186, "title": "Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR: the #45 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sequential-adapter-stacking-for-cross-lingual-low-resource-asr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sequential-adapter-stacking-for-cross-lingual-low-resource-asr.html", "arxiv_url": "https://arxiv.org/abs/2609.15758v1" }, { "category": "cs.CL", "position_in_category": 46, "category_size": 186, "title": "Look Before You Leap: Factual Decoding with Internal Attribution Signals", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Look Before You Leap: Factual Decoding with Internal Attribution Signals: the #46 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/look-before-you-leap-factual-decoding-with-internal-attribution-signals.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/look-before-you-leap-factual-decoding-with-internal-attribution-signals.html", "arxiv_url": "https://arxiv.org/abs/2609.15745v1" }, { "category": "cs.CL", "position_in_category": 47, "category_size": 186, "title": "Merging the Knowledge of LLMs for Automatic Speech Recognition", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Merging the Knowledge of LLMs for Automatic Speech Recognition: the #47 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/merging-the-knowledge-of-llms-for-automatic-speech-recognition.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/merging-the-knowledge-of-llms-for-automatic-speech-recognition.html", "arxiv_url": "https://arxiv.org/abs/2609.15743v1" }, { "category": "cs.CL", "position_in_category": 48, "category_size": 186, "title": "Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details: the #48 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/data-storytelling-meets-interpretable-machine-learning-decoding-ai-decisions-for.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/data-storytelling-meets-interpretable-machine-learning-decoding-ai-decisions-for.html", "arxiv_url": "https://arxiv.org/abs/2609.15722v1" }, { "category": "cs.CL", "position_in_category": 49, "category_size": 186, "title": "RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents: the #49 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reskill-explicit-failure-attribution-and-structured-repair-for-interactive-langu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/reskill-explicit-failure-attribution-and-structured-repair-for-interactive-langu.html", "arxiv_url": "https://arxiv.org/abs/2609.15684v1" }, { "category": "cs.AI", "position_in_category": 61, "category_size": 300, "title": "Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection: the #61 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/corrupt-plans-clean-traces-evading-chain-of-thought-monitoring-with-plan-injecti.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/corrupt-plans-clean-traces-evading-chain-of-thought-monitoring-with-plan-injecti.html", "arxiv_url": "https://arxiv.org/abs/2609.15989v1" }, { "category": "cs.AI", "position_in_category": 62, "category_size": 300, "title": "Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science: the #62 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stellar-colosseum-a-many-agent-harness-for-long-horizon-research-in-mathematics-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/stellar-colosseum-a-many-agent-harness-for-long-horizon-research-in-mathematics-.html", "arxiv_url": "https://arxiv.org/abs/2609.15983v1" }, { "category": "cs.AI", "position_in_category": 63, "category_size": 300, "title": "The Router Within: Eliciting Native Skill Routing from a Frozen LLM", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "The Router Within: Eliciting Native Skill Routing from a Frozen LLM: the #63 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-router-within-eliciting-native-skill-routing-from-a-frozen-llm.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-router-within-eliciting-native-skill-routing-from-a-frozen-llm.html", "arxiv_url": "https://arxiv.org/abs/2609.15982v1" }, { "category": "cs.AI", "position_in_category": 64, "category_size": 300, "title": "Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale: the #64 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vulnerability-localization-benchmark-measuring-agentic-security-analysis-at-repo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/vulnerability-localization-benchmark-measuring-agentic-security-analysis-at-repo.html", "arxiv_url": "https://arxiv.org/abs/2609.15939v1" }, { "category": "cs.AI", "position_in_category": 65, "category_size": 300, "title": "Recurrent GraphNeural NetworkswithSet-BasedAggregation", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Recurrent GraphNeural NetworkswithSet-BasedAggregation: the #65 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/recurrent-graphneural-networkswithset-basedaggregation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/recurrent-graphneural-networkswithset-basedaggregation.html", "arxiv_url": "https://arxiv.org/abs/2609.15932v1" }, { "category": "cs.AI", "position_in_category": 66, "category_size": 300, "title": "Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress: the #66 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pilot-early-commit-late-a-real-options-model-of-enterprise-ai-adoption-under-rap.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/pilot-early-commit-late-a-real-options-model-of-enterprise-ai-adoption-under-rap.html", "arxiv_url": "https://arxiv.org/abs/2609.15919v1" }, { "category": "cs.AI", "position_in_category": 67, "category_size": 300, "title": "SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection: the #67 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/slipsense-multimodal-tactile-learning-for-low-latency-and-generalized-slip-detec.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/slipsense-multimodal-tactile-learning-for-low-latency-and-generalized-slip-detec.html", "arxiv_url": "https://arxiv.org/abs/2609.15910v1" }, { "category": "cs.AI", "position_in_category": 68, "category_size": 300, "title": "Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI: the #68 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/anatomical-grounding-and-leakage-aware-multimodal-contrastive-learning-for-alzhe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/anatomical-grounding-and-leakage-aware-multimodal-contrastive-learning-for-alzhe.html", "arxiv_url": "https://arxiv.org/abs/2609.15888v1" }, { "category": "cs.AI", "position_in_category": 69, "category_size": 300, "title": "Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation: the #69 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/privacy-enhanced-federated-learning-via-asynchronous-aggregation-and-local-diffe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/privacy-enhanced-federated-learning-via-asynchronous-aggregation-and-local-diffe.html", "arxiv_url": "https://arxiv.org/abs/2609.15885v1" }, { "category": "cs.AI", "position_in_category": 70, "category_size": 300, "title": "Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport: the #70 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-multimodal-one-step-flow-policy-via-value-weighted-optimal-transport.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-multimodal-one-step-flow-policy-via-value-weighted-optimal-transport.html", "arxiv_url": "https://arxiv.org/abs/2609.15883v1" }, { "category": "cs.AI", "position_in_category": 71, "category_size": 300, "title": "LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys: the #71 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-based-schema-aware-split-learning-for-privacy-preserving-mental-distress-pre.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm-based-schema-aware-split-learning-for-privacy-preserving-mental-distress-pre.html", "arxiv_url": "https://arxiv.org/abs/2609.15871v1" }, { "category": "cs.AI", "position_in_category": 72, "category_size": 300, "title": "LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction: the #72 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/longagent-history-guided-agentic-search-for-longitudinal-outcome-prediction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/longagent-history-guided-agentic-search-for-longitudinal-outcome-prediction.html", "arxiv_url": "https://arxiv.org/abs/2609.15859v1" }, { "category": "cs.AI", "position_in_category": 73, "category_size": 300, "title": "K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations: the #73 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/k-bench-a-clinically-calibrated-benchmark-for-evaluating-large-language-models-i.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/k-bench-a-clinically-calibrated-benchmark-for-evaluating-large-language-models-i.html", "arxiv_url": "https://arxiv.org/abs/2609.15855v1" }, { "category": "cs.AI", "position_in_category": 74, "category_size": 300, "title": "Before You Poll with LLMs: A Deliberative Diagnostic Framework", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Before You Poll with LLMs: A Deliberative Diagnostic Framework: the #74 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/before-you-poll-with-llms-a-deliberative-diagnostic-framework.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/before-you-poll-with-llms-a-deliberative-diagnostic-framework.html", "arxiv_url": "https://arxiv.org/abs/2609.15849v1" }, { "category": "cs.AI", "position_in_category": 75, "category_size": 300, "title": "Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression: the #75 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/per-matrix-optimality-is-not-enough-three-level-optimization-for-low-rank-llm-co.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/per-matrix-optimality-is-not-enough-three-level-optimization-for-low-rank-llm-co.html", "arxiv_url": "https://arxiv.org/abs/2609.15838v1" }, { "category": "cs.AI", "position_in_category": 76, "category_size": 300, "title": "CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering: the #76 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/citeguard-rag-a-validation-centered-ai-system-for-evidence-grounded-question-ans.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/citeguard-rag-a-validation-centered-ai-system-for-evidence-grounded-question-ans.html", "arxiv_url": "https://arxiv.org/abs/2609.15830v1" }, { "category": "cs.AI", "position_in_category": 77, "category_size": 300, "title": "AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery: the #77 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/algoevo-self-evolving-agentic-search-for-automated-algorithm-discovery.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/algoevo-self-evolving-agentic-search-for-automated-algorithm-discovery.html", "arxiv_url": "https://arxiv.org/abs/2609.15820v1" }, { "category": "cs.AI", "position_in_category": 78, "category_size": 300, "title": "Atria Dawn: The Dawn of Agentic Superintelligence", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Atria Dawn: The Dawn of Agentic Superintelligence: the #78 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/atria-dawn-the-dawn-of-agentic-superintelligence.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/atria-dawn-the-dawn-of-agentic-superintelligence.html", "arxiv_url": "https://arxiv.org/abs/2609.15818v1" }, { "category": "cs.AI", "position_in_category": 79, "category_size": 300, "title": "Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control: the #79 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/delegating-authorization-to-misaligned-agents-coalitional-alignment-and-safe-con.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/delegating-authorization-to-misaligned-agents-coalitional-alignment-and-safe-con.html", "arxiv_url": "https://arxiv.org/abs/2609.15803v1" }, { "category": "cs.AI", "position_in_category": 80, "category_size": 300, "title": "When Should a World Model Move? Loss-Conditioned State Execution", "published": "2026-09-14", "recorded_on": "2026-09-15", "citation": "When Should a World Model Move? Loss-Conditioned State Execution: the #80 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-should-a-world-model-move-loss-conditioned-state-execution.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-should-a-world-model-move-loss-conditioned-state-execution.html", "arxiv_url": "https://arxiv.org/abs/2609.15801v1" }, { "category": "cs.LG", "position_in_category": 56, "category_size": 215, "title": "A Ranking Approach for Measuring Calibration", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "A Ranking Approach for Measuring Calibration: the #56 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-ranking-approach-for-measuring-calibration.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-ranking-approach-for-measuring-calibration.html", "arxiv_url": "https://arxiv.org/abs/2609.13100v1" }, { "category": "cs.LG", "position_in_category": 57, "category_size": 215, "title": "CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models: the #57 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/canvasanneal-curriculum-reinforcement-learning-for-diffusion-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/canvasanneal-curriculum-reinforcement-learning-for-diffusion-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.13060v1" }, { "category": "cs.LG", "position_in_category": 58, "category_size": 215, "title": "Benign Loss Landscapes Can Coexist with Worst-Case Hardness", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Benign Loss Landscapes Can Coexist with Worst-Case Hardness: the #58 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benign-loss-landscapes-can-coexist-with-worst-case-hardness.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/benign-loss-landscapes-can-coexist-with-worst-case-hardness.html", "arxiv_url": "https://arxiv.org/abs/2609.13057v1" }, { "category": "cs.LG", "position_in_category": 59, "category_size": 215, "title": "A Unified and Constrained View of Regularization-Based Robust Reinforcement Learning", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "A Unified and Constrained View of Regularization-Based Robust Reinforcement Learning: the #59 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-unified-and-constrained-view-of-regularization-based-robust-reinforcement-lear.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-unified-and-constrained-view-of-regularization-based-robust-reinforcement-lear.html", "arxiv_url": "https://arxiv.org/abs/2609.13050v1" }, { "category": "cs.LG", "position_in_category": 60, "category_size": 215, "title": "MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling: the #60 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mcrl2-multi-resource-cross-attention-based-representation-learning-augmented-rei.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mcrl2-multi-resource-cross-attention-based-representation-learning-augmented-rei.html", "arxiv_url": "https://arxiv.org/abs/2609.13048v1" }, { "category": "cs.LG", "position_in_category": 61, "category_size": 215, "title": "Robust Policy Optimization via Adversarial Importance Sampling", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Robust Policy Optimization via Adversarial Importance Sampling: the #61 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robust-policy-optimization-via-adversarial-importance-sampling.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/robust-policy-optimization-via-adversarial-importance-sampling.html", "arxiv_url": "https://arxiv.org/abs/2609.13044v1" }, { "category": "cs.LG", "position_in_category": 62, "category_size": 215, "title": "Quantile-based Loss Filtering for Outlier-Robust Stochastic Gradient Descent", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Quantile-based Loss Filtering for Outlier-Robust Stochastic Gradient Descent: the #62 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quantile-based-loss-filtering-for-outlier-robust-stochastic-gradient-descent.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quantile-based-loss-filtering-for-outlier-robust-stochastic-gradient-descent.html", "arxiv_url": "https://arxiv.org/abs/2609.13040v1" }, { "category": "cs.LG", "position_in_category": 63, "category_size": 215, "title": "Transfer Learning for Evolving Domains", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Transfer Learning for Evolving Domains: the #63 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/transfer-learning-for-evolving-domains.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/transfer-learning-for-evolving-domains.html", "arxiv_url": "https://arxiv.org/abs/2609.13039v1" }, { "category": "cs.LG", "position_in_category": 64, "category_size": 215, "title": "Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions: the #64 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dual-guided-hierarchical-edge-localization-for-large-scale-optimal-transport-acr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dual-guided-hierarchical-edge-localization-for-large-scale-optimal-transport-acr.html", "arxiv_url": "https://arxiv.org/abs/2609.13010v1" }, { "category": "cs.LG", "position_in_category": 65, "category_size": 215, "title": "A Large-Scale AIS Dataset from Finnish Water", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "A Large-Scale AIS Dataset from Finnish Water: the #65 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-large-scale-ais-dataset-from-finnish-water.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-large-scale-ais-dataset-from-finnish-water.html", "arxiv_url": "https://arxiv.org/abs/2609.12938v1" }, { "category": "cs.LG", "position_in_category": 66, "category_size": 215, "title": "Dissecting GPU Utilization for LLM Inference on Nvidia Hopper", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Dissecting GPU Utilization for LLM Inference on Nvidia Hopper: the #66 most recent of 215 cs.LG papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dissecting-gpu-utilization-for-llm-inference-on-nvidia-hopper.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dissecting-gpu-utilization-for-llm-inference-on-nvidia-hopper.html", "arxiv_url": "https://arxiv.org/abs/2609.12923v1" }, { "category": "cs.CV", "position_in_category": 62, "category_size": 237, "title": "SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image: the #62 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/snap3d-physically-grounded-3d-parts-for-assembly-from-a-single-image.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/snap3d-physically-grounded-3d-parts-for-assembly-from-a-single-image.html", "arxiv_url": "https://arxiv.org/abs/2609.13146v1" }, { "category": "cs.CV", "position_in_category": 63, "category_size": 237, "title": "Recurrent Dynamic Range Extension", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Recurrent Dynamic Range Extension: the #63 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/recurrent-dynamic-range-extension.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/recurrent-dynamic-range-extension.html", "arxiv_url": "https://arxiv.org/abs/2609.13135v1" }, { "category": "cs.CV", "position_in_category": 64, "category_size": 237, "title": "SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation: the #64 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sv-cine-diagnosis-conditioned-segmentation-of-single-ventricle-physiology-via-ge.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sv-cine-diagnosis-conditioned-segmentation-of-single-ventricle-physiology-via-ge.html", "arxiv_url": "https://arxiv.org/abs/2609.12997v1" }, { "category": "cs.CV", "position_in_category": 65, "category_size": 237, "title": "Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation: the #65 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/investigating-temporal-motion-features-for-pose-to-text-indian-sign-language-tra.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/investigating-temporal-motion-features-for-pose-to-text-indian-sign-language-tra.html", "arxiv_url": "https://arxiv.org/abs/2609.12993v1" }, { "category": "cs.CV", "position_in_category": 66, "category_size": 237, "title": "Generative Retrieval for Unsupervised Text-Based Person Search", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Generative Retrieval for Unsupervised Text-Based Person Search: the #66 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/generative-retrieval-for-unsupervised-text-based-person-search.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/generative-retrieval-for-unsupervised-text-based-person-search.html", "arxiv_url": "https://arxiv.org/abs/2609.12965v1" }, { "category": "cs.CV", "position_in_category": 67, "category_size": 237, "title": "Fast and Faithful: Principled Conditional Flow Matching for Inverse Problems", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Fast and Faithful: Principled Conditional Flow Matching for Inverse Problems: the #67 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fast-and-faithful-principled-conditional-flow-matching-for-inverse-problems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fast-and-faithful-principled-conditional-flow-matching-for-inverse-problems.html", "arxiv_url": "https://arxiv.org/abs/2609.12953v1" }, { "category": "cs.CV", "position_in_category": 68, "category_size": 237, "title": "DementiaCare-Bench: A Modality-Validated Video Benchmark", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "DementiaCare-Bench: A Modality-Validated Video Benchmark: the #68 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dementiacare-bench-a-modality-validated-video-benchmark.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dementiacare-bench-a-modality-validated-video-benchmark.html", "arxiv_url": "https://arxiv.org/abs/2609.12929v1" }, { "category": "cs.CV", "position_in_category": 69, "category_size": 237, "title": "Input Resolution Matters: Real-Time Object Detection Latency", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Input Resolution Matters: Real-Time Object Detection Latency: the #69 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/input-resolution-matters-real-time-object-detection-latency.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/input-resolution-matters-real-time-object-detection-latency.html", "arxiv_url": "https://arxiv.org/abs/2609.12920v1" }, { "category": "cs.CV", "position_in_category": 70, "category_size": 237, "title": "PA-CDM: Position-Aware Character Detection Matching for Evaluating Handwritten Mathematical Expression Recognition", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "PA-CDM: Position-Aware Character Detection Matching for Evaluating Handwritten Mathematical Expression Recognition: the #70 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pa-cdm-position-aware-character-detection-matching-for-evaluating-handwritten-ma.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/pa-cdm-position-aware-character-detection-matching-for-evaluating-handwritten-ma.html", "arxiv_url": "https://arxiv.org/abs/2609.12917v1" }, { "category": "cs.CV", "position_in_category": 71, "category_size": 237, "title": "Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models: the #71 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/parallel-training-using-a-cnn-dnn-architecture-for-accelerated-development-of-di.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/parallel-training-using-a-cnn-dnn-architecture-for-accelerated-development-of-di.html", "arxiv_url": "https://arxiv.org/abs/2609.12902v1" }, { "category": "cs.CV", "position_in_category": 72, "category_size": 237, "title": "UniPart: Towards Zero-shot Language-Grounded 3D Part Segmentation for Embodied Interaction", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "UniPart: Towards Zero-shot Language-Grounded 3D Part Segmentation for Embodied Interaction: the #72 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unipart-towards-zero-shot-language-grounded-3d-part-segmentation-for-embodied-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/unipart-towards-zero-shot-language-grounded-3d-part-segmentation-for-embodied-in.html", "arxiv_url": "https://arxiv.org/abs/2609.12898v1" }, { "category": "cs.CV", "position_in_category": 73, "category_size": 237, "title": "Beyond Accuracy: Uncertainty-Guided Boundary Refinement for Reliable Biomedical Image Segmentation", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Beyond Accuracy: Uncertainty-Guided Boundary Refinement for Reliable Biomedical Image Segmentation: the #73 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-accuracy-uncertainty-guided-boundary-refinement-for-reliable-biomedical-i.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-accuracy-uncertainty-guided-boundary-refinement-for-reliable-biomedical-i.html", "arxiv_url": "https://arxiv.org/abs/2609.12892v1" }, { "category": "cs.CV", "position_in_category": 74, "category_size": 237, "title": "Learning Sign Language Recognition under Label Noise: A Study of Noise-Robust Losses for Isolated and Continuous Settings", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Learning Sign Language Recognition under Label Noise: A Study of Noise-Robust Losses for Isolated and Continuous Settings: the #74 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-sign-language-recognition-under-label-noise-a-study-of-noise-robust-los.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-sign-language-recognition-under-label-noise-a-study-of-noise-robust-los.html", "arxiv_url": "https://arxiv.org/abs/2609.12885v1" }, { "category": "cs.CV", "position_in_category": 75, "category_size": 237, "title": "VideoTok4D: A 4D-Aware Video Tokenizer for Compact World Representation", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "VideoTok4D: A 4D-Aware Video Tokenizer for Compact World Representation: the #75 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/videotok4d-a-4d-aware-video-tokenizer-for-compact-world-representation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/videotok4d-a-4d-aware-video-tokenizer-for-compact-world-representation.html", "arxiv_url": "https://arxiv.org/abs/2609.12874v1" }, { "category": "cs.CV", "position_in_category": 76, "category_size": 237, "title": "A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS: the #76 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-multi-vehicle-dataset-with-camera-lidar-and-radar-sensors-and-scanned-3d-model.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-multi-vehicle-dataset-with-camera-lidar-and-radar-sensors-and-scanned-3d-model.html", "arxiv_url": "https://arxiv.org/abs/2609.12871v1" }, { "category": "cs.CV", "position_in_category": 77, "category_size": 237, "title": "3D CT-to-PET Translation via Latent Brownian Bridge Diffusion", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "3D CT-to-PET Translation via Latent Brownian Bridge Diffusion: the #77 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/3d-ct-to-pet-translation-via-latent-brownian-bridge-diffusion.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/3d-ct-to-pet-translation-via-latent-brownian-bridge-diffusion.html", "arxiv_url": "https://arxiv.org/abs/2609.12860v1" }, { "category": "cs.CV", "position_in_category": 78, "category_size": 237, "title": "MGAvatar: Mesh-Bound Gaussians for Head Avatar Geometry and Appearance Modeling", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "MGAvatar: Mesh-Bound Gaussians for Head Avatar Geometry and Appearance Modeling: the #78 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mgavatar-mesh-bound-gaussians-for-head-avatar-geometry-and-appearance-modeling.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mgavatar-mesh-bound-gaussians-for-head-avatar-geometry-and-appearance-modeling.html", "arxiv_url": "https://arxiv.org/abs/2609.12850v1" }, { "category": "cs.CL", "position_in_category": 50, "category_size": 186, "title": "Type Diversity Enables Transformers to Generalise Compositionally", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Type Diversity Enables Transformers to Generalise Compositionally: the #50 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/type-diversity-enables-transformers-to-generalise-compositionally.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/type-diversity-enables-transformers-to-generalise-compositionally.html", "arxiv_url": "https://arxiv.org/abs/2609.13144v1" }, { "category": "cs.CL", "position_in_category": 51, "category_size": 186, "title": "SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking: the #51 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sas-simple-attention-sparsification-via-end-to-end-optimization-of-context-ranki.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sas-simple-attention-sparsification-via-end-to-end-optimization-of-context-ranki.html", "arxiv_url": "https://arxiv.org/abs/2609.13141v1" }, { "category": "cs.CL", "position_in_category": 52, "category_size": 186, "title": "Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents: the #52 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/continue-adapt-or-yield-in-turn-adaptation-to-overlapping-speech-in-full-duplex-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/continue-adapt-or-yield-in-turn-adaptation-to-overlapping-speech-in-full-duplex-.html", "arxiv_url": "https://arxiv.org/abs/2609.13117v1" }, { "category": "cs.CL", "position_in_category": 53, "category_size": 186, "title": "Expert-Space Exploration in MoE Reinforcement Learning", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Expert-Space Exploration in MoE Reinforcement Learning: the #53 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/expert-space-exploration-in-moe-reinforcement-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/expert-space-exploration-in-moe-reinforcement-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.13058v1" }, { "category": "cs.CL", "position_in_category": 54, "category_size": 186, "title": "Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning: the #54 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/kraken-llm-based-speech-to-speech-translation-via-low-bitrate-vq-and-dual-path-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/kraken-llm-based-speech-to-speech-translation-via-low-bitrate-vq-and-dual-path-s.html", "arxiv_url": "https://arxiv.org/abs/2609.13045v1" }, { "category": "cs.CL", "position_in_category": 55, "category_size": 186, "title": "Tasks over Application Manuals: Revealing Gaps in Long-Horizon Procedural Reasoning for Language Models", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Tasks over Application Manuals: Revealing Gaps in Long-Horizon Procedural Reasoning for Language Models: the #55 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tasks-over-application-manuals-revealing-gaps-in-long-horizon-procedural-reasoni.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tasks-over-application-manuals-revealing-gaps-in-long-horizon-procedural-reasoni.html", "arxiv_url": "https://arxiv.org/abs/2609.13005v1" }, { "category": "cs.CL", "position_in_category": 56, "category_size": 186, "title": "Judging by the Cover: Cleaning LLM Truthfulness Benchmarks to Avoid Surface-Level Feature Leakage", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Judging by the Cover: Cleaning LLM Truthfulness Benchmarks to Avoid Surface-Level Feature Leakage: the #56 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/judging-by-the-cover-cleaning-llm-truthfulness-benchmarks-to-avoid-surface-level.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/judging-by-the-cover-cleaning-llm-truthfulness-benchmarks-to-avoid-surface-level.html", "arxiv_url": "https://arxiv.org/abs/2609.13003v1" }, { "category": "cs.CL", "position_in_category": 57, "category_size": 186, "title": "Fewer Words, Not Fewer Tokens: Measuring the Sanskrit Tokenization Penalty per Proposition", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Fewer Words, Not Fewer Tokens: Measuring the Sanskrit Tokenization Penalty per Proposition: the #57 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fewer-words-not-fewer-tokens-measuring-the-sanskrit-tokenization-penalty-per-pro.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fewer-words-not-fewer-tokens-measuring-the-sanskrit-tokenization-penalty-per-pro.html", "arxiv_url": "https://arxiv.org/abs/2609.12960v1" }, { "category": "cs.CL", "position_in_category": 58, "category_size": 186, "title": "LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification: the #58 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-enhanced-dual-branch-learning-for-large-scale-multi-label-text-classificatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm-enhanced-dual-branch-learning-for-large-scale-multi-label-text-classificatio.html", "arxiv_url": "https://arxiv.org/abs/2609.12915v1" }, { "category": "cs.CL", "position_in_category": 59, "category_size": 186, "title": "Parameter-Efficient Retrievers for Polish and European Languages", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Parameter-Efficient Retrievers for Polish and European Languages: the #59 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/parameter-efficient-retrievers-for-polish-and-european-languages.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/parameter-efficient-retrievers-for-polish-and-european-languages.html", "arxiv_url": "https://arxiv.org/abs/2609.12913v1" }, { "category": "cs.CL", "position_in_category": 60, "category_size": 186, "title": "MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification: the #60 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/medsnip-building-and-benchmarking-snippet-level-granularity-for-medical-fact-ver.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/medsnip-building-and-benchmarking-snippet-level-granularity-for-medical-fact-ver.html", "arxiv_url": "https://arxiv.org/abs/2609.12884v1" }, { "category": "cs.CL", "position_in_category": 61, "category_size": 186, "title": "DuplexDrama: A Synthesized Dialogue Dataset with Scenarios, Full-Duplex Behaviors, Expressive Speech, and Sound Events", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "DuplexDrama: A Synthesized Dialogue Dataset with Scenarios, Full-Duplex Behaviors, Expressive Speech, and Sound Events: the #61 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/duplexdrama-a-synthesized-dialogue-dataset-with-scenarios-full-duplex-behaviors-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/duplexdrama-a-synthesized-dialogue-dataset-with-scenarios-full-duplex-behaviors-.html", "arxiv_url": "https://arxiv.org/abs/2609.12872v1" }, { "category": "cs.CL", "position_in_category": 62, "category_size": 186, "title": "Cognition on Graph: Navigating Massive Knowledge Space via Cognitive Cycles and Bidirectional Graph-Text Synergy", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Cognition on Graph: Navigating Massive Knowledge Space via Cognitive Cycles and Bidirectional Graph-Text Synergy: the #62 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cognition-on-graph-navigating-massive-knowledge-space-via-cognitive-cycles-and-b.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cognition-on-graph-navigating-massive-knowledge-space-via-cognitive-cycles-and-b.html", "arxiv_url": "https://arxiv.org/abs/2609.12791v1" }, { "category": "cs.CL", "position_in_category": 63, "category_size": 186, "title": "What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework: the #63 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/what-drives-recovery-in-agentic-text-to-cypher-last-cq-an-llm-agent-self-refinem.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/what-drives-recovery-in-agentic-text-to-cypher-last-cq-an-llm-agent-self-refinem.html", "arxiv_url": "https://arxiv.org/abs/2609.12746v1" }, { "category": "cs.CL", "position_in_category": 64, "category_size": 186, "title": "Residual Vector-based Reconstruction as Long-Context Recall Regardless of Context Window Size", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Residual Vector-based Reconstruction as Long-Context Recall Regardless of Context Window Size: the #64 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/residual-vector-based-reconstruction-as-long-context-recall-regardless-of-contex.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/residual-vector-based-reconstruction-as-long-context-recall-regardless-of-contex.html", "arxiv_url": "https://arxiv.org/abs/2609.12686v1" }, { "category": "cs.CL", "position_in_category": 65, "category_size": 186, "title": "Doc2FRC: Length-Consistent Document-Level Machine Translation via Fixed-Range Chunking", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Doc2FRC: Length-Consistent Document-Level Machine Translation via Fixed-Range Chunking: the #65 most recent of 186 cs.CL papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/doc2frc-length-consistent-document-level-machine-translation-via-fixed-range-chu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/doc2frc-length-consistent-document-level-machine-translation-via-fixed-range-chu.html", "arxiv_url": "https://arxiv.org/abs/2609.12674v1" }, { "category": "cs.AI", "position_in_category": 81, "category_size": 300, "title": "Rethinking Heterogeneous System Disaggregation for Subquadratic Attention", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Rethinking Heterogeneous System Disaggregation for Subquadratic Attention: the #81 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rethinking-heterogeneous-system-disaggregation-for-subquadratic-attention.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rethinking-heterogeneous-system-disaggregation-for-subquadratic-attention.html", "arxiv_url": "https://arxiv.org/abs/2609.13134v1" }, { "category": "cs.AI", "position_in_category": 82, "category_size": 300, "title": "A Hybrid LSTM-XGBoost Framework for Multi-Horizon Stock Return Prediction Across Diversified Equity Portfolios", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "A Hybrid LSTM-XGBoost Framework for Multi-Horizon Stock Return Prediction Across Diversified Equity Portfolios: the #82 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-hybrid-lstm-xgboost-framework-for-multi-horizon-stock-return-prediction-across.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-hybrid-lstm-xgboost-framework-for-multi-horizon-stock-return-prediction-across.html", "arxiv_url": "https://arxiv.org/abs/2609.13125v1" }, { "category": "cs.AI", "position_in_category": 83, "category_size": 300, "title": "CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation: the #83 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cma-ot-hierarchical-expert-supervision-for-dance-to-music-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cma-ot-hierarchical-expert-supervision-for-dance-to-music-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.13118v1" }, { "category": "cs.AI", "position_in_category": 84, "category_size": 300, "title": "ASTRIL-MPC: Autonomous Traversal Framework of Articulated Tracked Robots with Language-Guided Neural-Kinematic MPC", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "ASTRIL-MPC: Autonomous Traversal Framework of Articulated Tracked Robots with Language-Guided Neural-Kinematic MPC: the #84 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/astril-mpc-autonomous-traversal-framework-of-articulated-tracked-robots-with-lan.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/astril-mpc-autonomous-traversal-framework-of-articulated-tracked-robots-with-lan.html", "arxiv_url": "https://arxiv.org/abs/2609.13083v1" }, { "category": "cs.AI", "position_in_category": 85, "category_size": 300, "title": "Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction: the #85 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/embodied-benchforge-a-closed-loop-agentic-workflow-for-embodied-benchmark-constr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/embodied-benchforge-a-closed-loop-agentic-workflow-for-embodied-benchmark-constr.html", "arxiv_url": "https://arxiv.org/abs/2609.13082v1" }, { "category": "cs.AI", "position_in_category": 86, "category_size": 300, "title": "MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant: the #86 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mp-bench-evaluating-voice-agents-as-a-multiparty-conversation-participant.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mp-bench-evaluating-voice-agents-as-a-multiparty-conversation-participant.html", "arxiv_url": "https://arxiv.org/abs/2609.13076v1" }, { "category": "cs.AI", "position_in_category": 87, "category_size": 300, "title": "Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval: the #87 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/autonomous-research-for-open-ended-problems-a-case-study-on-telecom-ticket-retri.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/autonomous-research-for-open-ended-problems-a-case-study-on-telecom-ticket-retri.html", "arxiv_url": "https://arxiv.org/abs/2609.13073v1" }, { "category": "cs.AI", "position_in_category": 88, "category_size": 300, "title": "MAxBench: A Multinomial Concept Recovery Benchmark", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "MAxBench: A Multinomial Concept Recovery Benchmark: the #88 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/maxbench-a-multinomial-concept-recovery-benchmark.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/maxbench-a-multinomial-concept-recovery-benchmark.html", "arxiv_url": "https://arxiv.org/abs/2609.13072v1" }, { "category": "cs.AI", "position_in_category": 89, "category_size": 300, "title": "Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering: the #89 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/involving-before-evolving-a-vision-for-trustworthy-enterprise-digital-twin-engin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/involving-before-evolving-a-vision-for-trustworthy-enterprise-digital-twin-engin.html", "arxiv_url": "https://arxiv.org/abs/2609.13071v1" }, { "category": "cs.AI", "position_in_category": 90, "category_size": 300, "title": "Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication: the #90 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/anchoring-clinical-events-in-time-uid-preserving-multimodal-reconstruction-and-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/anchoring-clinical-events-in-time-uid-preserving-multimodal-reconstruction-and-s.html", "arxiv_url": "https://arxiv.org/abs/2609.13062v1" }, { "category": "cs.AI", "position_in_category": 91, "category_size": 300, "title": "Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model: the #91 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dynin-robotics-omnimodal-unified-diffusion-vision-language-action-model.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dynin-robotics-omnimodal-unified-diffusion-vision-language-action-model.html", "arxiv_url": "https://arxiv.org/abs/2609.13053v1" }, { "category": "cs.AI", "position_in_category": 92, "category_size": 300, "title": "Diffusion Models and Concept Formation", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Diffusion Models and Concept Formation: the #92 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diffusion-models-and-concept-formation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/diffusion-models-and-concept-formation.html", "arxiv_url": "https://arxiv.org/abs/2609.13047v1" }, { "category": "cs.AI", "position_in_category": 93, "category_size": 300, "title": "Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer: the #93 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unified-ct-and-mri-pancreas-segmentation-for-label-efficient-cross-modality-subr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/unified-ct-and-mri-pancreas-segmentation-for-label-efficient-cross-modality-subr.html", "arxiv_url": "https://arxiv.org/abs/2609.13043v1" }, { "category": "cs.AI", "position_in_category": 94, "category_size": 300, "title": "DynSHAP: Towards Explainable Dynamic Survival Analysis", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "DynSHAP: Towards Explainable Dynamic Survival Analysis: the #94 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dynshap-towards-explainable-dynamic-survival-analysis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dynshap-towards-explainable-dynamic-survival-analysis.html", "arxiv_url": "https://arxiv.org/abs/2609.13042v1" }, { "category": "cs.AI", "position_in_category": 95, "category_size": 300, "title": "Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries: the #95 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/groupoid-based-internal-state-representations-for-reinforcement-learning-with-lo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/groupoid-based-internal-state-representations-for-reinforcement-learning-with-lo.html", "arxiv_url": "https://arxiv.org/abs/2609.13035v1" }, { "category": "cs.AI", "position_in_category": 96, "category_size": 300, "title": "Attention Quantization for Tabular Foundation Models", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Attention Quantization for Tabular Foundation Models: the #96 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/attention-quantization-for-tabular-foundation-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/attention-quantization-for-tabular-foundation-models.html", "arxiv_url": "https://arxiv.org/abs/2609.13031v1" }, { "category": "cs.AI", "position_in_category": 97, "category_size": 300, "title": "Label-Guided Knowledge Distillation for 3D-CNNs in Action Recognition", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Label-Guided Knowledge Distillation for 3D-CNNs in Action Recognition: the #97 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/label-guided-knowledge-distillation-for-3d-cnns-in-action-recognition.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/label-guided-knowledge-distillation-for-3d-cnns-in-action-recognition.html", "arxiv_url": "https://arxiv.org/abs/2609.13024v1" }, { "category": "cs.AI", "position_in_category": 98, "category_size": 300, "title": "TileNet: Tile-Based CNN-SVM Architecture for Autonomous Unmanned Aerial Systems Inspection of Flat Roofs", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "TileNet: Tile-Based CNN-SVM Architecture for Autonomous Unmanned Aerial Systems Inspection of Flat Roofs: the #98 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tilenet-tile-based-cnn-svm-architecture-for-autonomous-unmanned-aerial-systems-i.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tilenet-tile-based-cnn-svm-architecture-for-autonomous-unmanned-aerial-systems-i.html", "arxiv_url": "https://arxiv.org/abs/2609.13013v1" }, { "category": "cs.AI", "position_in_category": 99, "category_size": 300, "title": "Comfort by Construction: Adaptive, Comfort-Bounded Action Spaces for Learned Driving Policies", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "Comfort by Construction: Adaptive, Comfort-Bounded Action Spaces for Learned Driving Policies: the #99 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/comfort-by-construction-adaptive-comfort-bounded-action-spaces-for-learned-drivi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/comfort-by-construction-adaptive-comfort-bounded-action-spaces-for-learned-drivi.html", "arxiv_url": "https://arxiv.org/abs/2609.13011v1" }, { "category": "cs.AI", "position_in_category": 100, "category_size": 300, "title": "How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks", "published": "2026-09-11", "recorded_on": "2026-09-14", "citation": "How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks: the #100 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-good-are-frontier-models-at-physics-expert-re-grading-reveals-broken-evaluat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-good-are-frontier-models-at-physics-expert-re-grading-reveals-broken-evaluat.html", "arxiv_url": "https://arxiv.org/abs/2609.13009v1" }, { "category": "cs.LG", "position_in_category": 67, "category_size": 215, "title": "Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data: the #67 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/data-scarcity-and-model-sparsity-mixtures-of-experts-overfit-more-to-repeated-da.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/data-scarcity-and-model-sparsity-mixtures-of-experts-overfit-more-to-repeated-da.html", "arxiv_url": "https://arxiv.org/abs/2609.11917v1" }, { "category": "cs.LG", "position_in_category": 68, "category_size": 215, "title": "From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good: the #68 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-protocols-to-evidence-bounded-claims-for-ai-in-service-of-the-common-good.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-protocols-to-evidence-bounded-claims-for-ai-in-service-of-the-common-good.html", "arxiv_url": "https://arxiv.org/abs/2609.11910v1" }, { "category": "cs.LG", "position_in_category": 69, "category_size": 215, "title": "TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription: the #69 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tart-a-modular-tool-for-technique-aware-audio-to-tablature-guitar-transcription.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tart-a-modular-tool-for-technique-aware-audio-to-tablature-guitar-transcription.html", "arxiv_url": "https://arxiv.org/abs/2609.11904v1" }, { "category": "cs.LG", "position_in_category": 70, "category_size": 215, "title": "CausalArena: Benchmarking Causal Discovery in the Foundation Model Era", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "CausalArena: Benchmarking Causal Discovery in the Foundation Model Era: the #70 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/causalarena-benchmarking-causal-discovery-in-the-foundation-model-era.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/causalarena-benchmarking-causal-discovery-in-the-foundation-model-era.html", "arxiv_url": "https://arxiv.org/abs/2609.11897v1" }, { "category": "cs.LG", "position_in_category": 71, "category_size": 215, "title": "3D Point Splatting for mmWave Radar Novel View Synthesis", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "3D Point Splatting for mmWave Radar Novel View Synthesis: the #71 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/3d-point-splatting-for-mmwave-radar-novel-view-synthesis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/3d-point-splatting-for-mmwave-radar-novel-view-synthesis.html", "arxiv_url": "https://arxiv.org/abs/2609.11894v1" }, { "category": "cs.LG", "position_in_category": 72, "category_size": 215, "title": "CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search: the #72 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cora-nas-coarse-ranking-and-anchor-residual-refinement-for-neural-architecture-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cora-nas-coarse-ranking-and-anchor-residual-refinement-for-neural-architecture-s.html", "arxiv_url": "https://arxiv.org/abs/2609.11884v1" }, { "category": "cs.LG", "position_in_category": 73, "category_size": 215, "title": "Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting: the #73 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluating-time-series-foundation-models-and-multimodal-dietary-context-for-cgm-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evaluating-time-series-foundation-models-and-multimodal-dietary-context-for-cgm-.html", "arxiv_url": "https://arxiv.org/abs/2609.11872v1" }, { "category": "cs.LG", "position_in_category": 74, "category_size": 215, "title": "AdamX: Cosine similarity meets gradient descent", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "AdamX: Cosine similarity meets gradient descent: the #74 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adamx-cosine-similarity-meets-gradient-descent.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/adamx-cosine-similarity-meets-gradient-descent.html", "arxiv_url": "https://arxiv.org/abs/2609.11867v1" }, { "category": "cs.LG", "position_in_category": 75, "category_size": 215, "title": "Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead: the #75 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/near-optimal-reinforcement-learning-with-multi-step-transition-lookahead.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/near-optimal-reinforcement-learning-with-multi-step-transition-lookahead.html", "arxiv_url": "https://arxiv.org/abs/2609.11807v1" }, { "category": "cs.LG", "position_in_category": 76, "category_size": 215, "title": "Dynamic language model representations for multi-objective reaction optimisation", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Dynamic language model representations for multi-objective reaction optimisation: the #76 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dynamic-language-model-representations-for-multi-objective-reaction-optimisation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dynamic-language-model-representations-for-multi-objective-reaction-optimisation.html", "arxiv_url": "https://arxiv.org/abs/2609.11790v1" }, { "category": "cs.LG", "position_in_category": 77, "category_size": 215, "title": "Predicting Privacy Leakage from Weight Spectral Density", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Predicting Privacy Leakage from Weight Spectral Density: the #77 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/predicting-privacy-leakage-from-weight-spectral-density.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/predicting-privacy-leakage-from-weight-spectral-density.html", "arxiv_url": "https://arxiv.org/abs/2609.11780v1" }, { "category": "cs.LG", "position_in_category": 78, "category_size": 215, "title": "Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology: the #78 most recent of 215 cs.LG papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/differentially-private-eeg-feature-anonymization-a-privacy-utility-case-study-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/differentially-private-eeg-feature-anonymization-a-privacy-utility-case-study-in.html", "arxiv_url": "https://arxiv.org/abs/2609.11777v1" }, { "category": "cs.CV", "position_in_category": 79, "category_size": 237, "title": "SenseNova-U1.5: Towards Native Unified Visual Intelligence", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "SenseNova-U1.5: Towards Native Unified Visual Intelligence: the #79 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sensenova-u1-5-towards-native-unified-visual-intelligence.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sensenova-u1-5-towards-native-unified-visual-intelligence.html", "arxiv_url": "https://arxiv.org/abs/2609.11929v1" }, { "category": "cs.CV", "position_in_category": 80, "category_size": 237, "title": "Caption-once, Frames-on-Demand: Visual-Need Routing for Budget-Aware Agentic Long Video Understanding", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Caption-once, Frames-on-Demand: Visual-Need Routing for Budget-Aware Agentic Long Video Understanding: the #80 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/caption-once-frames-on-demand-visual-need-routing-for-budget-aware-agentic-long-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/caption-once-frames-on-demand-visual-need-routing-for-budget-aware-agentic-long-.html", "arxiv_url": "https://arxiv.org/abs/2609.11899v1" }, { "category": "cs.CV", "position_in_category": 81, "category_size": 237, "title": "Guided Super-Resolution of Digital Elevation Models with Diffusion-Based Image Generators", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Guided Super-Resolution of Digital Elevation Models with Diffusion-Based Image Generators: the #81 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/guided-super-resolution-of-digital-elevation-models-with-diffusion-based-image-g.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/guided-super-resolution-of-digital-elevation-models-with-diffusion-based-image-g.html", "arxiv_url": "https://arxiv.org/abs/2609.11886v1" }, { "category": "cs.CV", "position_in_category": 82, "category_size": 237, "title": "Revisiting Avatar-As-Image: High-Fidelity Registration is All You Need", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Revisiting Avatar-As-Image: High-Fidelity Registration is All You Need: the #82 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/revisiting-avatar-as-image-high-fidelity-registration-is-all-you-need.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/revisiting-avatar-as-image-high-fidelity-registration-is-all-you-need.html", "arxiv_url": "https://arxiv.org/abs/2609.11722v1" }, { "category": "cs.CV", "position_in_category": 83, "category_size": 237, "title": "MC-DeTra: Motion-Consistent Joint Object Detection and Socially-Aware Trajectory Forecasting in Bird's-Eye-View Images", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "MC-DeTra: Motion-Consistent Joint Object Detection and Socially-Aware Trajectory Forecasting in Bird's-Eye-View Images: the #83 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mc-detra-motion-consistent-joint-object-detection-and-socially-aware-trajectory-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mc-detra-motion-consistent-joint-object-detection-and-socially-aware-trajectory-.html", "arxiv_url": "https://arxiv.org/abs/2609.11717v1" }, { "category": "cs.CV", "position_in_category": 84, "category_size": 237, "title": "Language-Augmented Semantic Priors for B-Spline Surface Fitting", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Language-Augmented Semantic Priors for B-Spline Surface Fitting: the #84 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/language-augmented-semantic-priors-for-b-spline-surface-fitting.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/language-augmented-semantic-priors-for-b-spline-surface-fitting.html", "arxiv_url": "https://arxiv.org/abs/2609.11708v1" }, { "category": "cs.CV", "position_in_category": 85, "category_size": 237, "title": "Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography: the #85 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spectral-adapters-for-segment-anything-model-based-segmentation-of-colorectal-li.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/spectral-adapters-for-segment-anything-model-based-segmentation-of-colorectal-li.html", "arxiv_url": "https://arxiv.org/abs/2609.11703v1" }, { "category": "cs.CV", "position_in_category": 86, "category_size": 237, "title": "Single-Stream Multi-Feature Fusion with Temporal Robustness for Gait Emotion Recognition", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Single-Stream Multi-Feature Fusion with Temporal Robustness for Gait Emotion Recognition: the #86 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/single-stream-multi-feature-fusion-with-temporal-robustness-for-gait-emotion-rec.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/single-stream-multi-feature-fusion-with-temporal-robustness-for-gait-emotion-rec.html", "arxiv_url": "https://arxiv.org/abs/2609.11680v1" }, { "category": "cs.CV", "position_in_category": 87, "category_size": 237, "title": "Multimodal Taxonomic Conditioning for Generative Plankton Imagery", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Multimodal Taxonomic Conditioning for Generative Plankton Imagery: the #87 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multimodal-taxonomic-conditioning-for-generative-plankton-imagery.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multimodal-taxonomic-conditioning-for-generative-plankton-imagery.html", "arxiv_url": "https://arxiv.org/abs/2609.11673v1" }, { "category": "cs.CV", "position_in_category": 88, "category_size": 237, "title": "Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits: the #88 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/self-supervised-cardiac-phase-detection-via-single-parameter-latent-orbits.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/self-supervised-cardiac-phase-detection-via-single-parameter-latent-orbits.html", "arxiv_url": "https://arxiv.org/abs/2609.11650v1" }, { "category": "cs.CV", "position_in_category": 89, "category_size": 237, "title": "Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation: the #89 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vidu-s2-real-time-interactive-editable-and-spatial-video-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/vidu-s2-real-time-interactive-editable-and-spatial-video-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.11638v1" }, { "category": "cs.CV", "position_in_category": 90, "category_size": 237, "title": "LangStreet: Persistent Language Fields for Anchor-Decoded Street Gaussians", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "LangStreet: Persistent Language Fields for Anchor-Decoded Street Gaussians: the #90 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/langstreet-persistent-language-fields-for-anchor-decoded-street-gaussians.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/langstreet-persistent-language-fields-for-anchor-decoded-street-gaussians.html", "arxiv_url": "https://arxiv.org/abs/2609.11616v1" }, { "category": "cs.CV", "position_in_category": 91, "category_size": 237, "title": "MMGait: Benchmarking and Unifying Gait Recognition across Heterogeneous Modalities", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "MMGait: Benchmarking and Unifying Gait Recognition across Heterogeneous Modalities: the #91 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mmgait-benchmarking-and-unifying-gait-recognition-across-heterogeneous-modalitie.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mmgait-benchmarking-and-unifying-gait-recognition-across-heterogeneous-modalitie.html", "arxiv_url": "https://arxiv.org/abs/2609.11601v1" }, { "category": "cs.CV", "position_in_category": 92, "category_size": 237, "title": "OmniKVQuant: KV Cache Quantization for Omni-LLMs", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "OmniKVQuant: KV Cache Quantization for Omni-LLMs: the #92 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/omnikvquant-kv-cache-quantization-for-omni-llms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/omnikvquant-kv-cache-quantization-for-omni-llms.html", "arxiv_url": "https://arxiv.org/abs/2609.11582v1" }, { "category": "cs.CV", "position_in_category": 93, "category_size": 237, "title": "Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations: the #93 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learn-the-solid-not-the-file-canonical-inputs-for-neural-networks-on-cad-boundar.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learn-the-solid-not-the-file-canonical-inputs-for-neural-networks-on-cad-boundar.html", "arxiv_url": "https://arxiv.org/abs/2609.11573v1" }, { "category": "cs.CV", "position_in_category": 94, "category_size": 237, "title": "A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection", "published": "2026-09-10", "recorded_on": "2026-09-12", "citation": "A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection: the #94 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-comparative-evaluation-of-pre-trained-convolutional-neural-networks-for-melano.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-comparative-evaluation-of-pre-trained-convolutional-neural-networks-for-melano.html", "arxiv_url": "https://arxiv.org/abs/2609.11550v1" }, { "category": "cs.CL", "position_in_category": 66, "category_size": 186, "title": "Distance generalization in transformers: why bother with positional encoding?", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Distance generalization in transformers: why bother with positional encoding?: the #66 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/distance-generalization-in-transformers-why-bother-with-positional-encoding.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/distance-generalization-in-transformers-why-bother-with-positional-encoding.html", "arxiv_url": "https://arxiv.org/abs/2609.11913v1" }, { "category": "cs.CL", "position_in_category": 67, "category_size": 186, "title": "Nuha-Speech: Building General-Purpose Arabic Speech-LLMs", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Nuha-Speech: Building General-Purpose Arabic Speech-LLMs: the #67 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nuha-speech-building-general-purpose-arabic-speech-llms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nuha-speech-building-general-purpose-arabic-speech-llms.html", "arxiv_url": "https://arxiv.org/abs/2609.11892v1" }, { "category": "cs.CL", "position_in_category": 68, "category_size": 186, "title": "Augustinian BabyLM: What Ostensive Definition Can and Cannot Teach a Small Language Model", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Augustinian BabyLM: What Ostensive Definition Can and Cannot Teach a Small Language Model: the #68 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/augustinian-babylm-what-ostensive-definition-can-and-cannot-teach-a-small-langua.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/augustinian-babylm-what-ostensive-definition-can-and-cannot-teach-a-small-langua.html", "arxiv_url": "https://arxiv.org/abs/2609.11870v1" }, { "category": "cs.CL", "position_in_category": 69, "category_size": 186, "title": "Epistemic orientation predicts legislative effectiveness among members of the US Congress", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Epistemic orientation predicts legislative effectiveness among members of the US Congress: the #69 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/epistemic-orientation-predicts-legislative-effectiveness-among-members-of-the-us.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/epistemic-orientation-predicts-legislative-effectiveness-among-members-of-the-us.html", "arxiv_url": "https://arxiv.org/abs/2609.11865v1" }, { "category": "cs.CL", "position_in_category": 70, "category_size": 186, "title": "IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing: the #70 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/indictrimix-developing-language-identification-datasets-and-models-for-tri-langu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/indictrimix-developing-language-identification-datasets-and-models-for-tri-langu.html", "arxiv_url": "https://arxiv.org/abs/2609.11851v1" }, { "category": "cs.CL", "position_in_category": 71, "category_size": 186, "title": "Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models: the #71 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/target-leakage-not-model-class-explains-reported-accuracy-in-survey-based-cardio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/target-leakage-not-model-class-explains-reported-accuracy-in-survey-based-cardio.html", "arxiv_url": "https://arxiv.org/abs/2609.11838v1" }, { "category": "cs.CL", "position_in_category": 72, "category_size": 186, "title": "SpecGuard: Inference-Time Backdoor Detection For Free", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "SpecGuard: Inference-Time Backdoor Detection For Free: the #72 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/specguard-inference-time-backdoor-detection-for-free.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/specguard-inference-time-backdoor-detection-for-free.html", "arxiv_url": "https://arxiv.org/abs/2609.11799v1" }, { "category": "cs.CL", "position_in_category": 73, "category_size": 186, "title": "Whisper-Based Speech Transcription from Videos Across Multiple Languages for Cross-Cultural Understanding", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Whisper-Based Speech Transcription from Videos Across Multiple Languages for Cross-Cultural Understanding: the #73 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/whisper-based-speech-transcription-from-videos-across-multiple-languages-for-cro.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/whisper-based-speech-transcription-from-videos-across-multiple-languages-for-cro.html", "arxiv_url": "https://arxiv.org/abs/2609.11772v1" }, { "category": "cs.CL", "position_in_category": 74, "category_size": 186, "title": "The widening evaluation gap in medical large language model research 2023 to 2026", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "The widening evaluation gap in medical large language model research 2023 to 2026: the #74 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-widening-evaluation-gap-in-medical-large-language-model-research-2023-to-202.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-widening-evaluation-gap-in-medical-large-language-model-research-2023-to-202.html", "arxiv_url": "https://arxiv.org/abs/2609.11770v1" }, { "category": "cs.CL", "position_in_category": 75, "category_size": 186, "title": "Component-Aware Differential Privacy for Federated Multilingual Speech-LLMs", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Component-Aware Differential Privacy for Federated Multilingual Speech-LLMs: the #75 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/component-aware-differential-privacy-for-federated-multilingual-speech-llms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/component-aware-differential-privacy-for-federated-multilingual-speech-llms.html", "arxiv_url": "https://arxiv.org/abs/2609.11762v1" }, { "category": "cs.CL", "position_in_category": 76, "category_size": 186, "title": "RAG-Safety-Bench: Reliable Evaluation of Retrieval-Augmented LLM Safety", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "RAG-Safety-Bench: Reliable Evaluation of Retrieval-Augmented LLM Safety: the #76 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rag-safety-bench-reliable-evaluation-of-retrieval-augmented-llm-safety.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rag-safety-bench-reliable-evaluation-of-retrieval-augmented-llm-safety.html", "arxiv_url": "https://arxiv.org/abs/2609.11758v1" }, { "category": "cs.AI", "position_in_category": 101, "category_size": 300, "title": "GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay: the #101 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gpu-cfr-80x-faster-counterfactual-regret-minimization-by-compiling-the-game-to-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gpu-cfr-80x-faster-counterfactual-regret-minimization-by-compiling-the-game-to-s.html", "arxiv_url": "https://arxiv.org/abs/2609.11923v1" }, { "category": "cs.AI", "position_in_category": 102, "category_size": 300, "title": "General Quantification of Covariate and Concept Shifts", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "General Quantification of Covariate and Concept Shifts: the #102 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/general-quantification-of-covariate-and-concept-shifts.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/general-quantification-of-covariate-and-concept-shifts.html", "arxiv_url": "https://arxiv.org/abs/2609.11918v1" }, { "category": "cs.AI", "position_in_category": 103, "category_size": 300, "title": "Can Edge-Deployable Vision-Language Models Identify Species?", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Can Edge-Deployable Vision-Language Models Identify Species?: the #103 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-edge-deployable-vision-language-models-identify-species.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-edge-deployable-vision-language-models-identify-species.html", "arxiv_url": "https://arxiv.org/abs/2609.11916v1" }, { "category": "cs.AI", "position_in_category": 104, "category_size": 300, "title": "Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact: the #104 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/generative-marketing-mix-modeling-a-causal-inference-framework-linking-geo-and-g.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/generative-marketing-mix-modeling-a-causal-inference-framework-linking-geo-and-g.html", "arxiv_url": "https://arxiv.org/abs/2609.11915v1" }, { "category": "cs.AI", "position_in_category": 105, "category_size": 300, "title": "Artificial Id: Drive and Persistent Alignment in Agentic AI", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Artificial Id: Drive and Persistent Alignment in Agentic AI: the #105 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/artificial-id-drive-and-persistent-alignment-in-agentic-ai.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/artificial-id-drive-and-persistent-alignment-in-agentic-ai.html", "arxiv_url": "https://arxiv.org/abs/2609.11911v1" }, { "category": "cs.AI", "position_in_category": 106, "category_size": 300, "title": "MindTopo: Can Foundation Models Reason in Topological Space?", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "MindTopo: Can Foundation Models Reason in Topological Space?: the #106 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mindtopo-can-foundation-models-reason-in-topological-space.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mindtopo-can-foundation-models-reason-in-topological-space.html", "arxiv_url": "https://arxiv.org/abs/2609.11900v1" }, { "category": "cs.AI", "position_in_category": 107, "category_size": 300, "title": "Domain-Specific Hallucination Detection in Large Language Models", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Domain-Specific Hallucination Detection in Large Language Models: the #107 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/domain-specific-hallucination-detection-in-large-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/domain-specific-hallucination-detection-in-large-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.11878v1" }, { "category": "cs.AI", "position_in_category": 108, "category_size": 300, "title": "Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens: the #108 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/biology-in-the-loop-amortized-adaptive-hit-discovery-in-crispr-screens.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/biology-in-the-loop-amortized-adaptive-hit-discovery-in-crispr-screens.html", "arxiv_url": "https://arxiv.org/abs/2609.11877v1" }, { "category": "cs.AI", "position_in_category": 109, "category_size": 300, "title": "On the Regularization Landscape for the Linear Recommendation Models", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "On the Regularization Landscape for the Linear Recommendation Models: the #109 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-the-regularization-landscape-for-the-linear-recommendation-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-the-regularization-landscape-for-the-linear-recommendation-models.html", "arxiv_url": "https://arxiv.org/abs/2609.11876v1" }, { "category": "cs.AI", "position_in_category": 110, "category_size": 300, "title": "The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement: the #110 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-last-ai-built-by-humans-toward-genuine-recursive-self-improvement.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-last-ai-built-by-humans-toward-genuine-recursive-self-improvement.html", "arxiv_url": "https://arxiv.org/abs/2609.11873v1" }, { "category": "cs.AI", "position_in_category": 111, "category_size": 300, "title": "RetroThinker: Enabling Retrospective Thinking in Speech LLMs", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "RetroThinker: Enabling Retrospective Thinking in Speech LLMs: the #111 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/retrothinker-enabling-retrospective-thinking-in-speech-llms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/retrothinker-enabling-retrospective-thinking-in-speech-llms.html", "arxiv_url": "https://arxiv.org/abs/2609.11864v1" }, { "category": "cs.AI", "position_in_category": 112, "category_size": 300, "title": "Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models: the #112 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/explainability-assistant-a-conversational-xai-interface-for-interpreting-energy-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/explainability-assistant-a-conversational-xai-interface-for-interpreting-energy-.html", "arxiv_url": "https://arxiv.org/abs/2609.11860v1" }, { "category": "cs.AI", "position_in_category": 113, "category_size": 300, "title": "From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge: the #113 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-parameters-to-answers-how-llms-retrieve-and-use-their-internal-knowledge.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-parameters-to-answers-how-llms-retrieve-and-use-their-internal-knowledge.html", "arxiv_url": "https://arxiv.org/abs/2609.11859v1" }, { "category": "cs.AI", "position_in_category": 114, "category_size": 300, "title": "Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport: the #114 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/model-aware-schedules-improve-generation-via-fiberwise-optimal-transport.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/model-aware-schedules-improve-generation-via-fiberwise-optimal-transport.html", "arxiv_url": "https://arxiv.org/abs/2609.11842v1" }, { "category": "cs.AI", "position_in_category": 115, "category_size": 300, "title": "Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations: the #115 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/understanding-operator-attitudes-toward-ai-supported-decision-making-in-maritime.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/understanding-operator-attitudes-toward-ai-supported-decision-making-in-maritime.html", "arxiv_url": "https://arxiv.org/abs/2609.11805v1" }, { "category": "cs.AI", "position_in_category": 116, "category_size": 300, "title": "Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling: the #116 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/logit-refiner-improving-visual-autoregressive-models-via-intra-scale-dependency-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/logit-refiner-improving-visual-autoregressive-models-via-intra-scale-dependency-.html", "arxiv_url": "https://arxiv.org/abs/2609.11804v1" }, { "category": "cs.AI", "position_in_category": 117, "category_size": 300, "title": "Thinking with Looped Flows", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Thinking with Looped Flows: the #117 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/thinking-with-looped-flows.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/thinking-with-looped-flows.html", "arxiv_url": "https://arxiv.org/abs/2609.11801v1" }, { "category": "cs.AI", "position_in_category": 118, "category_size": 300, "title": "Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech: the #118 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-word-error-rate-a-switch-aware-evaluation-of-asr-and-audio-language-model.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-word-error-rate-a-switch-aware-evaluation-of-asr-and-audio-language-model.html", "arxiv_url": "https://arxiv.org/abs/2609.11786v1" }, { "category": "cs.AI", "position_in_category": 119, "category_size": 300, "title": "Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing: the #119 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/recognizing-is-not-reversing-a-controlled-inversion-test-of-fact-preserving-news.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/recognizing-is-not-reversing-a-controlled-inversion-test-of-fact-preserving-news.html", "arxiv_url": "https://arxiv.org/abs/2609.11769v1" }, { "category": "cs.AI", "position_in_category": 120, "category_size": 300, "title": "A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients", "published": "2026-09-10", "recorded_on": "2026-09-13", "citation": "A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients: the #120 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-unified-per-token-gating-family-for-on-policy-distillation-fkl-rkl-mixing-with.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-unified-per-token-gating-family-for-on-policy-distillation-fkl-rkl-mixing-with.html", "arxiv_url": "https://arxiv.org/abs/2609.11768v1" }, { "category": "cs.LG", "position_in_category": 79, "category_size": 215, "title": "Likelihood-free inference with nuisance parameters through normalizing flows", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Likelihood-free inference with nuisance parameters through normalizing flows: the #79 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/likelihood-free-inference-with-nuisance-parameters-through-normalizing-flows.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/likelihood-free-inference-with-nuisance-parameters-through-normalizing-flows.html", "arxiv_url": "https://arxiv.org/abs/2609.10534v1" }, { "category": "cs.LG", "position_in_category": 80, "category_size": 215, "title": "A positive resolution of the gap-entropy conjecture", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "A positive resolution of the gap-entropy conjecture: the #80 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-positive-resolution-of-the-gap-entropy-conjecture.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-positive-resolution-of-the-gap-entropy-conjecture.html", "arxiv_url": "https://arxiv.org/abs/2609.10529v1" }, { "category": "cs.LG", "position_in_category": 81, "category_size": 215, "title": "Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarch", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarch: the #81 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/characterizing-language-generation-in-the-limit-finite-witnesses-and-a-separatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/characterizing-language-generation-in-the-limit-finite-witnesses-and-a-separatio.html", "arxiv_url": "https://arxiv.org/abs/2609.10525v1" }, { "category": "cs.LG", "position_in_category": 82, "category_size": 215, "title": "Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements: the #82 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/optimal-low-rank-quantum-state-tomography-with-bounded-sample-joint-measurements.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/optimal-low-rank-quantum-state-tomography-with-bounded-sample-joint-measurements.html", "arxiv_url": "https://arxiv.org/abs/2609.10514v1" }, { "category": "cs.LG", "position_in_category": 83, "category_size": 215, "title": "Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers: the #83 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quantum-feature-engineering-for-credit-default-prediction-when-and-why-iqp-circu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quantum-feature-engineering-for-credit-default-prediction-when-and-why-iqp-circu.html", "arxiv_url": "https://arxiv.org/abs/2609.10505v1" }, { "category": "cs.LG", "position_in_category": 84, "category_size": 215, "title": "Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation: the #84 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cross-model-agreement-as-a-deployment-time-reliability-signal-for-automatic-poly.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cross-model-agreement-as-a-deployment-time-reliability-signal-for-automatic-poly.html", "arxiv_url": "https://arxiv.org/abs/2609.10495v1" }, { "category": "cs.LG", "position_in_category": 85, "category_size": 215, "title": "Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs: the #85 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-with-covariance-matrices-principal-component-analysis-meets-learning-wi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-with-covariance-matrices-principal-component-analysis-meets-learning-wi.html", "arxiv_url": "https://arxiv.org/abs/2609.10490v1" }, { "category": "cs.LG", "position_in_category": 86, "category_size": 215, "title": "Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification: the #86 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nonmaximal-sums-of-maximally-monotone-operators-under-rockafellar-s-constraint-q.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nonmaximal-sums-of-maximally-monotone-operators-under-rockafellar-s-constraint-q.html", "arxiv_url": "https://arxiv.org/abs/2609.10487v1" }, { "category": "cs.LG", "position_in_category": 87, "category_size": 215, "title": "Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems: the #87 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/deep-learning-based-detection-of-electrical-faults-and-power-quality-disturbance.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/deep-learning-based-detection-of-electrical-faults-and-power-quality-disturbance.html", "arxiv_url": "https://arxiv.org/abs/2609.10479v1" }, { "category": "cs.LG", "position_in_category": 88, "category_size": 215, "title": "Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response: the #88 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multi-agent-reinforcement-learning-for-autonomous-uav-exploration-in-wildfire-re.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multi-agent-reinforcement-learning-for-autonomous-uav-exploration-in-wildfire-re.html", "arxiv_url": "https://arxiv.org/abs/2609.10433v1" }, { "category": "cs.LG", "position_in_category": 89, "category_size": 215, "title": "Algorithmic stability via ensembling", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Algorithmic stability via ensembling: the #89 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/algorithmic-stability-via-ensembling.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/algorithmic-stability-via-ensembling.html", "arxiv_url": "https://arxiv.org/abs/2609.10428v1" }, { "category": "cs.LG", "position_in_category": 90, "category_size": 215, "title": "HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning: the #90 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hybridflow-sdn-orchestrated-client-partitioning-for-hybrid-federated-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hybridflow-sdn-orchestrated-client-partitioning-for-hybrid-federated-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.10404v1" }, { "category": "cs.LG", "position_in_category": 91, "category_size": 215, "title": "Searching for New Physics with Reinforcement Learning", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Searching for New Physics with Reinforcement Learning: the #91 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/searching-for-new-physics-with-reinforcement-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/searching-for-new-physics-with-reinforcement-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.10382v1" }, { "category": "cs.LG", "position_in_category": 92, "category_size": 215, "title": "A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out: the #92 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-later-test-set-is-not-a-new-domain-pretraining-familiarity-survives-a-contamin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-later-test-set-is-not-a-new-domain-pretraining-familiarity-survives-a-contamin.html", "arxiv_url": "https://arxiv.org/abs/2609.10357v1" }, { "category": "cs.LG", "position_in_category": 93, "category_size": 215, "title": "TimeCues Studio: A Workspace for Music Annotation and Algorithm Prototyping", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "TimeCues Studio: A Workspace for Music Annotation and Algorithm Prototyping: the #93 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/timecues-studio-a-workspace-for-music-annotation-and-algorithm-prototyping.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/timecues-studio-a-workspace-for-music-annotation-and-algorithm-prototyping.html", "arxiv_url": "https://arxiv.org/abs/2609.10338v1" }, { "category": "cs.CV", "position_in_category": 95, "category_size": 237, "title": "Programmable World Model", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Programmable World Model: the #95 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/programmable-world-model.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/programmable-world-model.html", "arxiv_url": "https://arxiv.org/abs/2609.10540v1" }, { "category": "cs.CV", "position_in_category": 96, "category_size": 237, "title": "Guiding Image-to-3D Generation with Test-Time Partial Observations", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Guiding Image-to-3D Generation with Test-Time Partial Observations: the #96 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/guiding-image-to-3d-generation-with-test-time-partial-observations.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/guiding-image-to-3d-generation-with-test-time-partial-observations.html", "arxiv_url": "https://arxiv.org/abs/2609.10531v1" }, { "category": "cs.CV", "position_in_category": 97, "category_size": 237, "title": "Precision in Rice Variety Classification using Stacking-Based Ensemble Learning", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Precision in Rice Variety Classification using Stacking-Based Ensemble Learning: the #97 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/precision-in-rice-variety-classification-using-stacking-based-ensemble-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/precision-in-rice-variety-classification-using-stacking-based-ensemble-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.10524v1" }, { "category": "cs.CV", "position_in_category": 98, "category_size": 237, "title": "BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models: the #98 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/braintaskonomy-learning-how-to-pretrain-and-what-to-transfer-in-fmri-foundation-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/braintaskonomy-learning-how-to-pretrain-and-what-to-transfer-in-fmri-foundation-.html", "arxiv_url": "https://arxiv.org/abs/2609.10518v1" }, { "category": "cs.CV", "position_in_category": 99, "category_size": 237, "title": "DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot Manipulation", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot Manipulation: the #99 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/duet-dino-simultaneous-cross-view-world-modeling-for-latent-planning-in-robot-ma.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/duet-dino-simultaneous-cross-view-world-modeling-for-latent-planning-in-robot-ma.html", "arxiv_url": "https://arxiv.org/abs/2609.10506v1" }, { "category": "cs.CV", "position_in_category": 100, "category_size": 237, "title": "Field Converter: Geometry-Initialized Temporal Residual Refinement for World-Grounded Player Pose Estimation from Soccer Broadcasts", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Field Converter: Geometry-Initialized Temporal Residual Refinement for World-Grounded Player Pose Estimation from Soccer Broadcasts: the #100 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/field-converter-geometry-initialized-temporal-residual-refinement-for-world-grou.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/field-converter-geometry-initialized-temporal-residual-refinement-for-world-grou.html", "arxiv_url": "https://arxiv.org/abs/2609.10498v1" }, { "category": "cs.CV", "position_in_category": 101, "category_size": 237, "title": "Artificial Intelligence Literacy and Sustainable Development: An Ethical Governance and Development Goals Framework", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Artificial Intelligence Literacy and Sustainable Development: An Ethical Governance and Development Goals Framework: the #101 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/artificial-intelligence-literacy-and-sustainable-development-an-ethical-governan.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/artificial-intelligence-literacy-and-sustainable-development-an-ethical-governan.html", "arxiv_url": "https://arxiv.org/abs/2609.10489v1" }, { "category": "cs.CV", "position_in_category": 102, "category_size": 237, "title": "AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Expert-Validated Benchmark for Radish, Potato and Pointed Gourd Disease Classification", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Expert-Validated Benchmark for Radish, Potato and Pointed Gourd Disease Classification: the #102 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agrovisnet-a-lightweight-convolutional-network-and-the-bd-plantdx-expert-validat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/agrovisnet-a-lightweight-convolutional-network-and-the-bd-plantdx-expert-validat.html", "arxiv_url": "https://arxiv.org/abs/2609.10469v1" }, { "category": "cs.CV", "position_in_category": 103, "category_size": 237, "title": "Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimaging", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimaging: the #103 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/advanced-brain-tissue-imaging-with-data-consistent-diffusion-priors-in-laminogra.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/advanced-brain-tissue-imaging-with-data-consistent-diffusion-priors-in-laminogra.html", "arxiv_url": "https://arxiv.org/abs/2609.10456v1" }, { "category": "cs.CV", "position_in_category": 104, "category_size": 237, "title": "Candor-LR: A Dyadic Conversational Dataset for Audio-Visual Speech Recognition", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Candor-LR: A Dyadic Conversational Dataset for Audio-Visual Speech Recognition: the #104 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/candor-lr-a-dyadic-conversational-dataset-for-audio-visual-speech-recognition.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/candor-lr-a-dyadic-conversational-dataset-for-audio-visual-speech-recognition.html", "arxiv_url": "https://arxiv.org/abs/2609.10394v1" }, { "category": "cs.CV", "position_in_category": 105, "category_size": 237, "title": "Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask: the #105 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/enhanced-deformable-convolution-with-center-invariant-offset-and-edge-aware-mask.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/enhanced-deformable-convolution-with-center-invariant-offset-and-edge-aware-mask.html", "arxiv_url": "https://arxiv.org/abs/2609.10387v1" }, { "category": "cs.CV", "position_in_category": 106, "category_size": 237, "title": "Data-Driven Risk Fields for Safer End-to-End Autonomous Driving", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Data-Driven Risk Fields for Safer End-to-End Autonomous Driving: the #106 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/data-driven-risk-fields-for-safer-end-to-end-autonomous-driving.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/data-driven-risk-fields-for-safer-end-to-end-autonomous-driving.html", "arxiv_url": "https://arxiv.org/abs/2609.10377v1" }, { "category": "cs.CV", "position_in_category": 107, "category_size": 237, "title": "Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction: the #107 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/shape-guided-gaussian-splatting-for-sparse-view-x-ray-3d-reconstruction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/shape-guided-gaussian-splatting-for-sparse-view-x-ray-3d-reconstruction.html", "arxiv_url": "https://arxiv.org/abs/2609.10376v1" }, { "category": "cs.CV", "position_in_category": 108, "category_size": 237, "title": "Beyond Weak Labels: Prompt-Guided Local Refinement for Weakly Supervised Water Segmentation in High-Resolution Multispectral Imagery", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Beyond Weak Labels: Prompt-Guided Local Refinement for Weakly Supervised Water Segmentation in High-Resolution Multispectral Imagery: the #108 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-weak-labels-prompt-guided-local-refinement-for-weakly-supervised-water-se.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-weak-labels-prompt-guided-local-refinement-for-weakly-supervised-water-se.html", "arxiv_url": "https://arxiv.org/abs/2609.10371v1" }, { "category": "cs.CV", "position_in_category": 109, "category_size": 237, "title": "AVSRBench: A Multi-Condition AVSR Benchmark", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "AVSRBench: A Multi-Condition AVSR Benchmark: the #109 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/avsrbench-a-multi-condition-avsr-benchmark.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/avsrbench-a-multi-condition-avsr-benchmark.html", "arxiv_url": "https://arxiv.org/abs/2609.10366v1" }, { "category": "cs.CV", "position_in_category": 110, "category_size": 237, "title": "SceneHI: High-Resolution 3D-Consistent Scene Texturing with Controllable Illumination", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "SceneHI: High-Resolution 3D-Consistent Scene Texturing with Controllable Illumination: the #110 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scenehi-high-resolution-3d-consistent-scene-texturing-with-controllable-illumina.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/scenehi-high-resolution-3d-consistent-scene-texturing-with-controllable-illumina.html", "arxiv_url": "https://arxiv.org/abs/2609.10363v1" }, { "category": "cs.CL", "position_in_category": 77, "category_size": 186, "title": "IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications: the #77 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ideaambig-benchmarking-implementation-critical-gaps-in-research-idea-specificati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ideaambig-benchmarking-implementation-critical-gaps-in-research-idea-specificati.html", "arxiv_url": "https://arxiv.org/abs/2609.10539v1" }, { "category": "cs.CL", "position_in_category": 78, "category_size": 186, "title": "Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning: the #78 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/building-multilingual-bridges-data-mixing-as-the-pillar-of-generalization-for-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/building-multilingual-bridges-data-mixing-as-the-pillar-of-generalization-for-in.html", "arxiv_url": "https://arxiv.org/abs/2609.10445v1" }, { "category": "cs.CL", "position_in_category": 79, "category_size": 186, "title": "Do speech foundation models really learn words?", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Do speech foundation models really learn words?: the #79 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/do-speech-foundation-models-really-learn-words.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/do-speech-foundation-models-really-learn-words.html", "arxiv_url": "https://arxiv.org/abs/2609.10434v1" }, { "category": "cs.CL", "position_in_category": 80, "category_size": 186, "title": "Retrofitting Code Using LLMs to Support Exceptional Behavior", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Retrofitting Code Using LLMs to Support Exceptional Behavior: the #80 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/retrofitting-code-using-llms-to-support-exceptional-behavior.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/retrofitting-code-using-llms-to-support-exceptional-behavior.html", "arxiv_url": "https://arxiv.org/abs/2609.10397v1" }, { "category": "cs.CL", "position_in_category": 81, "category_size": 186, "title": "Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation: the #81 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rosetta-at-alexandriax-2026-lora-adapted-nilechat-for-context-aware-dialectal-ar.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rosetta-at-alexandriax-2026-lora-adapted-nilechat-for-context-aware-dialectal-ar.html", "arxiv_url": "https://arxiv.org/abs/2609.10395v1" }, { "category": "cs.CL", "position_in_category": 82, "category_size": 186, "title": "Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs: the #82 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/why-is-video-still-so-expensive-a-survey-of-inference-efficiency-mechanisms-in-v.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/why-is-video-still-so-expensive-a-survey-of-inference-efficiency-mechanisms-in-v.html", "arxiv_url": "https://arxiv.org/abs/2609.10355v1" }, { "category": "cs.CL", "position_in_category": 83, "category_size": 186, "title": "On-Policy Distillation for Vision-Language Model Adaptation, an Effective Paradigm on Low-Quality Multimodal Data", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "On-Policy Distillation for Vision-Language Model Adaptation, an Effective Paradigm on Low-Quality Multimodal Data: the #83 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-policy-distillation-for-vision-language-model-adaptation-an-effective-paradig.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-policy-distillation-for-vision-language-model-adaptation-an-effective-paradig.html", "arxiv_url": "https://arxiv.org/abs/2609.10321v1" }, { "category": "cs.CL", "position_in_category": 84, "category_size": 186, "title": "The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding: the #84 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-semantic-bottleneck-leveraging-semantic-representations-for-non-invasive-spe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-semantic-bottleneck-leveraging-semantic-representations-for-non-invasive-spe.html", "arxiv_url": "https://arxiv.org/abs/2609.10296v1" }, { "category": "cs.CL", "position_in_category": 85, "category_size": 186, "title": "KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints: the #85 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/kvsharearena-kv-cache-reuse-across-contexts-and-model-checkpoints.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/kvsharearena-kv-cache-reuse-across-contexts-and-model-checkpoints.html", "arxiv_url": "https://arxiv.org/abs/2609.10266v1" }, { "category": "cs.CL", "position_in_category": 86, "category_size": 186, "title": "DiSCo: A Distribution-First Steering and Cultural Prior Evaluation Framework for Measuring Cultural Preference Bias in LLMs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "DiSCo: A Distribution-First Steering and Cultural Prior Evaluation Framework for Measuring Cultural Preference Bias in LLMs: the #86 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/disco-a-distribution-first-steering-and-cultural-prior-evaluation-framework-for-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/disco-a-distribution-first-steering-and-cultural-prior-evaluation-framework-for-.html", "arxiv_url": "https://arxiv.org/abs/2609.10253v1" }, { "category": "cs.CL", "position_in_category": 87, "category_size": 186, "title": "Two-Token Features and Small-Large Ensembles for VLM Hallucination Detection", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Two-Token Features and Small-Large Ensembles for VLM Hallucination Detection: the #87 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/two-token-features-and-small-large-ensembles-for-vlm-hallucination-detection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/two-token-features-and-small-large-ensembles-for-vlm-hallucination-detection.html", "arxiv_url": "https://arxiv.org/abs/2609.10244v1" }, { "category": "cs.CL", "position_in_category": 88, "category_size": 186, "title": "LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation: the #88 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/literag-cost-efficient-graph-based-retrieval-augmented-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/literag-cost-efficient-graph-based-retrieval-augmented-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.10239v1" }, { "category": "cs.CL", "position_in_category": 89, "category_size": 186, "title": "The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge Graphs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge Graphs: the #89 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-answer-path-and-the-grounding-instruction-in-llm-question-answering-over-kno.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-answer-path-and-the-grounding-instruction-in-llm-question-answering-over-kno.html", "arxiv_url": "https://arxiv.org/abs/2609.10237v1" }, { "category": "cs.CL", "position_in_category": 90, "category_size": 186, "title": "$Φ$-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "$Φ$-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?: the #90 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bench-can-large-language-models-engineer-the-infrastructure-that-powers-them.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bench-can-large-language-models-engineer-the-infrastructure-that-powers-them.html", "arxiv_url": "https://arxiv.org/abs/2609.10226v1" }, { "category": "cs.AI", "position_in_category": 121, "category_size": 300, "title": "Show-Harness: Just a VLM Agent Can Play Robots", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Show-Harness: Just a VLM Agent Can Play Robots: the #121 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/show-harness-just-a-vlm-agent-can-play-robots.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/show-harness-just-a-vlm-agent-can-play-robots.html", "arxiv_url": "https://arxiv.org/abs/2609.10522v1" }, { "category": "cs.AI", "position_in_category": 122, "category_size": 300, "title": "IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier: the #122 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ibib-a-protocol-for-measuring-enterprise-ai-systems-by-serving-route-not-model-i.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ibib-a-protocol-for-measuring-enterprise-ai-systems-by-serving-route-not-model-i.html", "arxiv_url": "https://arxiv.org/abs/2609.10494v1" }, { "category": "cs.AI", "position_in_category": 123, "category_size": 300, "title": "Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization: the #123 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semigroup-jepa-latent-dynamics-consistency-for-zero-shot-physics-generalization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/semigroup-jepa-latent-dynamics-consistency-for-zero-shot-physics-generalization.html", "arxiv_url": "https://arxiv.org/abs/2609.10464v1" }, { "category": "cs.AI", "position_in_category": 124, "category_size": 300, "title": "JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition: the #124 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/jarvisgui-towards-cross-device-gui-agents-with-dynamic-task-composition.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/jarvisgui-towards-cross-device-gui-agents-with-dynamic-task-composition.html", "arxiv_url": "https://arxiv.org/abs/2609.10451v1" }, { "category": "cs.AI", "position_in_category": 125, "category_size": 300, "title": "ConvMem: Convolutional Memory for Long-Context Reasoning", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "ConvMem: Convolutional Memory for Long-Context Reasoning: the #125 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/convmem-convolutional-memory-for-long-context-reasoning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/convmem-convolutional-memory-for-long-context-reasoning.html", "arxiv_url": "https://arxiv.org/abs/2609.10441v1" }, { "category": "cs.AI", "position_in_category": 126, "category_size": 300, "title": "Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs: the #126 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/forgetting-only-what-matters-layer-selective-unlearning-toward-robust-llms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/forgetting-only-what-matters-layer-selective-unlearning-toward-robust-llms.html", "arxiv_url": "https://arxiv.org/abs/2609.10439v1" }, { "category": "cs.AI", "position_in_category": 127, "category_size": 300, "title": "Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support: the #127 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/emergency-department-revisit-quality-review-screening-exploring-human-decision-m.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/emergency-department-revisit-quality-review-screening-exploring-human-decision-m.html", "arxiv_url": "https://arxiv.org/abs/2609.10421v1" }, { "category": "cs.AI", "position_in_category": 128, "category_size": 300, "title": "Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs: the #128 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fortunate-recall-ontology-driven-memory-lifecycle-management-for-persistent-cohe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fortunate-recall-ontology-driven-memory-lifecycle-management-for-persistent-cohe.html", "arxiv_url": "https://arxiv.org/abs/2609.10413v1" }, { "category": "cs.AI", "position_in_category": 129, "category_size": 300, "title": "Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization: the #129 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-foundation-models-moderate-online-content-evaluating-instruction-vs-example-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-foundation-models-moderate-online-content-evaluating-instruction-vs-example-.html", "arxiv_url": "https://arxiv.org/abs/2609.10410v1" }, { "category": "cs.AI", "position_in_category": 130, "category_size": 300, "title": "MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production: the #130 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/moonwalk-mediating-operations-with-intent-evidence-action-alignment-across-junio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/moonwalk-mediating-operations-with-intent-evidence-action-alignment-across-junio.html", "arxiv_url": "https://arxiv.org/abs/2609.10385v1" }, { "category": "cs.AI", "position_in_category": 131, "category_size": 300, "title": "PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue Serving", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue Serving: the #131 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pace-perceived-latency-aware-cascading-service-routing-and-filler-control-for-qo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/pace-perceived-latency-aware-cascading-service-routing-and-filler-control-for-qo.html", "arxiv_url": "https://arxiv.org/abs/2609.10372v1" }, { "category": "cs.AI", "position_in_category": 132, "category_size": 300, "title": "OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis: the #132 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/omnimed-fl-a-robust-multimodal-federated-learning-framework-for-clinical-diagnos.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/omnimed-fl-a-robust-multimodal-federated-learning-framework-for-clinical-diagnos.html", "arxiv_url": "https://arxiv.org/abs/2609.10364v1" }, { "category": "cs.AI", "position_in_category": 133, "category_size": 300, "title": "Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System: the #133 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cyber-financial-contagion-modeling-the-propagation-of-an-ai-vendor-compromise-th.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cyber-financial-contagion-modeling-the-propagation-of-an-ai-vendor-compromise-th.html", "arxiv_url": "https://arxiv.org/abs/2609.10350v1" }, { "category": "cs.AI", "position_in_category": 134, "category_size": 300, "title": "Beyond One-Size-Fits-All: Sample-Adaptive Strategy Routing for Vision Token Pruning in MLLMs", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Beyond One-Size-Fits-All: Sample-Adaptive Strategy Routing for Vision Token Pruning in MLLMs: the #134 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-one-size-fits-all-sample-adaptive-strategy-routing-for-vision-token-pruni.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-one-size-fits-all-sample-adaptive-strategy-routing-for-vision-token-pruni.html", "arxiv_url": "https://arxiv.org/abs/2609.10346v1" }, { "category": "cs.AI", "position_in_category": 135, "category_size": 300, "title": "From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning: the #135 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-symbolic-perception-to-logical-deduction-a-framework-for-guiding-language-m.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-symbolic-perception-to-logical-deduction-a-framework-for-guiding-language-m.html", "arxiv_url": "https://arxiv.org/abs/2609.10335v1" }, { "category": "cs.AI", "position_in_category": 136, "category_size": 300, "title": "TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards: the #136 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/trace-training-reasoning-agents-for-causal-exploration-with-synthesized-rewards.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/trace-training-reasoning-agents-for-causal-exploration-with-synthesized-rewards.html", "arxiv_url": "https://arxiv.org/abs/2609.10315v1" }, { "category": "cs.AI", "position_in_category": 137, "category_size": 300, "title": "One Loop, Two Gains: Can Active Learning win the Lottery for Free?", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "One Loop, Two Gains: Can Active Learning win the Lottery for Free?: the #137 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/one-loop-two-gains-can-active-learning-win-the-lottery-for-free.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/one-loop-two-gains-can-active-learning-win-the-lottery-for-free.html", "arxiv_url": "https://arxiv.org/abs/2609.10311v1" }, { "category": "cs.AI", "position_in_category": 138, "category_size": 300, "title": "RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding: the #138 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rilm-parameter-efficient-language-modeling-via-geodesic-decoding.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rilm-parameter-efficient-language-modeling-via-geodesic-decoding.html", "arxiv_url": "https://arxiv.org/abs/2609.10305v1" }, { "category": "cs.AI", "position_in_category": 139, "category_size": 300, "title": "Learning Intrusion Response Strategies for OT Systems", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "Learning Intrusion Response Strategies for OT Systems: the #139 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-intrusion-response-strategies-for-ot-systems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-intrusion-response-strategies-for-ot-systems.html", "arxiv_url": "https://arxiv.org/abs/2609.10298v1" }, { "category": "cs.AI", "position_in_category": 140, "category_size": 300, "title": "GANDR: Claim Auditing for Verifiable Legal Answer Generation", "published": "2026-09-09", "recorded_on": "2026-09-10", "citation": "GANDR: Claim Auditing for Verifiable Legal Answer Generation: the #140 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gandr-claim-auditing-for-verifiable-legal-answer-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gandr-claim-auditing-for-verifiable-legal-answer-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.10293v1" }, { "category": "cs.LG", "position_in_category": 94, "category_size": 215, "title": "Learning Length-Extrapolatable Recurrent Models", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Learning Length-Extrapolatable Recurrent Models: the #94 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-length-extrapolatable-recurrent-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-length-extrapolatable-recurrent-models.html", "arxiv_url": "https://arxiv.org/abs/2609.09157v1" }, { "category": "cs.LG", "position_in_category": 95, "category_size": 215, "title": "Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration: the #95 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/silver-rate-is-almost-optimal-for-gradient-descent-acceleration.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/silver-rate-is-almost-optimal-for-gradient-descent-acceleration.html", "arxiv_url": "https://arxiv.org/abs/2609.09152v1" }, { "category": "cs.LG", "position_in_category": 96, "category_size": 215, "title": "Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation: the #96 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/entropy-regularized-rank-masked-policy-optimization-for-test-time-reinforcement-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/entropy-regularized-rank-masked-policy-optimization-for-test-time-reinforcement-.html", "arxiv_url": "https://arxiv.org/abs/2609.09135v1" }, { "category": "cs.LG", "position_in_category": 97, "category_size": 215, "title": "Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks: the #97 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nearly-tight-rademacher-bounds-for-sparsely-activated-neural-networks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nearly-tight-rademacher-bounds-for-sparsely-activated-neural-networks.html", "arxiv_url": "https://arxiv.org/abs/2609.09130v1" }, { "category": "cs.LG", "position_in_category": 98, "category_size": 215, "title": "When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay: the #98 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-does-scale-invariant-optimization-become-unstable-an-exact-schedule-law-wit.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-does-scale-invariant-optimization-become-unstable-an-exact-schedule-law-wit.html", "arxiv_url": "https://arxiv.org/abs/2609.09116v1" }, { "category": "cs.LG", "position_in_category": 99, "category_size": 215, "title": "Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics: the #99 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/curriculum-learning-as-transport-understanding-curricula-with-wasserstein-geodes.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/curriculum-learning-as-transport-understanding-curricula-with-wasserstein-geodes.html", "arxiv_url": "https://arxiv.org/abs/2609.09099v1" }, { "category": "cs.LG", "position_in_category": 100, "category_size": 215, "title": "Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling: the #100 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multi-task-learning-for-sparsely-labeled-time-series-a-case-study-on-cold-hardin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multi-task-learning-for-sparsely-labeled-time-series-a-case-study-on-cold-hardin.html", "arxiv_url": "https://arxiv.org/abs/2609.09062v1" }, { "category": "cs.LG", "position_in_category": 101, "category_size": 215, "title": "PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games: the #101 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/playtrain-an-efficient-reinforcement-learning-framework-for-llm-generated-adapta.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/playtrain-an-efficient-reinforcement-learning-framework-for-llm-generated-adapta.html", "arxiv_url": "https://arxiv.org/abs/2609.09059v1" }, { "category": "cs.LG", "position_in_category": 102, "category_size": 215, "title": "Do Reasoning Representations Help Humans Evaluate LLM Outputs?", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Do Reasoning Representations Help Humans Evaluate LLM Outputs?: the #102 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/do-reasoning-representations-help-humans-evaluate-llm-outputs.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/do-reasoning-representations-help-humans-evaluate-llm-outputs.html", "arxiv_url": "https://arxiv.org/abs/2609.09038v1" }, { "category": "cs.LG", "position_in_category": 103, "category_size": 215, "title": "Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning: the #103 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/answer-distribution-trajectories-a-stochastic-dynamics-view-of-llm-reasoning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/answer-distribution-trajectories-a-stochastic-dynamics-view-of-llm-reasoning.html", "arxiv_url": "https://arxiv.org/abs/2609.09030v1" }, { "category": "cs.LG", "position_in_category": 104, "category_size": 215, "title": "Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3: the #104 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/closed-form-of-the-local-galactic-potential-and-stellar-distribution-function-fr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/closed-form-of-the-local-galactic-potential-and-stellar-distribution-function-fr.html", "arxiv_url": "https://arxiv.org/abs/2609.09011v1" }, { "category": "cs.LG", "position_in_category": 105, "category_size": 215, "title": "Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks: the #105 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/let-it-go-or-learn-to-self-correct-continuous-diffusion-for-constrained-discrete.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/let-it-go-or-learn-to-self-correct-continuous-diffusion-for-constrained-discrete.html", "arxiv_url": "https://arxiv.org/abs/2609.09009v1" }, { "category": "cs.LG", "position_in_category": 106, "category_size": 215, "title": "Evaluation of Contextual Understanding in Large Language Models", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Evaluation of Contextual Understanding in Large Language Models: the #106 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluation-of-contextual-understanding-in-large-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evaluation-of-contextual-understanding-in-large-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.09004v1" }, { "category": "cs.LG", "position_in_category": 107, "category_size": 215, "title": "Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths: the #107 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/deposon-an-auditable-conservation-guaranteed-game-theoretically-tested-scatterin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/deposon-an-auditable-conservation-guaranteed-game-theoretically-tested-scatterin.html", "arxiv_url": "https://arxiv.org/abs/2609.09001v1" }, { "category": "cs.LG", "position_in_category": 108, "category_size": 215, "title": "Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU: the #108 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/physics-informed-deep-learning-for-false-ventricular-tachycardia-alarm-reduction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/physics-informed-deep-learning-for-false-ventricular-tachycardia-alarm-reduction.html", "arxiv_url": "https://arxiv.org/abs/2609.08992v1" }, { "category": "cs.CV", "position_in_category": 111, "category_size": 237, "title": "SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators: the #111 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/syncworld-visual-calibration-enables-world-models-as-zero-shot-simulators.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/syncworld-visual-calibration-enables-world-models-as-zero-shot-simulators.html", "arxiv_url": "https://arxiv.org/abs/2609.09155v1" }, { "category": "cs.CV", "position_in_category": 112, "category_size": 237, "title": "Point4D: Long-range 4D Motion Reconstruction", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Point4D: Long-range 4D Motion Reconstruction: the #112 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/point4d-long-range-4d-motion-reconstruction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/point4d-long-range-4d-motion-reconstruction.html", "arxiv_url": "https://arxiv.org/abs/2609.09145v1" }, { "category": "cs.CV", "position_in_category": 113, "category_size": 237, "title": "Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout: the #113 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mask-forcing-improving-autoregressive-video-diffusion-distillation-via-dual-nois.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mask-forcing-improving-autoregressive-video-diffusion-distillation-via-dual-nois.html", "arxiv_url": "https://arxiv.org/abs/2609.09123v1" }, { "category": "cs.CV", "position_in_category": 114, "category_size": 237, "title": "Rethinking Learned Occupancy in Autonomous Active Mapping with Observation-Gated Filtering", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Rethinking Learned Occupancy in Autonomous Active Mapping with Observation-Gated Filtering: the #114 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rethinking-learned-occupancy-in-autonomous-active-mapping-with-observation-gated.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rethinking-learned-occupancy-in-autonomous-active-mapping-with-observation-gated.html", "arxiv_url": "https://arxiv.org/abs/2609.09069v1" }, { "category": "cs.CV", "position_in_category": 115, "category_size": 237, "title": "\"World Knowledge\" in the Weights: Reading Concept Circuits of Vision Transformers", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "\"World Knowledge\" in the Weights: Reading Concept Circuits of Vision Transformers: the #115 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/world-knowledge-in-the-weights-reading-concept-circuits-of-vision-transformers.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/world-knowledge-in-the-weights-reading-concept-circuits-of-vision-transformers.html", "arxiv_url": "https://arxiv.org/abs/2609.09055v1" }, { "category": "cs.CV", "position_in_category": 116, "category_size": 237, "title": "Task-driven Processing with Coarse-to-Fine Glimpse-based Active Perception", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Task-driven Processing with Coarse-to-Fine Glimpse-based Active Perception: the #116 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/task-driven-processing-with-coarse-to-fine-glimpse-based-active-perception.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/task-driven-processing-with-coarse-to-fine-glimpse-based-active-perception.html", "arxiv_url": "https://arxiv.org/abs/2609.09025v1" }, { "category": "cs.CV", "position_in_category": 117, "category_size": 237, "title": "PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding: the #117 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pic-revisiting-inr-for-image-coding-with-fast-encoding-and-sub-millisecond-decod.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/pic-revisiting-inr-for-image-coding-with-fast-encoding-and-sub-millisecond-decod.html", "arxiv_url": "https://arxiv.org/abs/2609.09020v1" }, { "category": "cs.CV", "position_in_category": 118, "category_size": 237, "title": "Spheriverse: 3D Scene Understanding from Spherical Observations in the Wild", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Spheriverse: 3D Scene Understanding from Spherical Observations in the Wild: the #118 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spheriverse-3d-scene-understanding-from-spherical-observations-in-the-wild.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/spheriverse-3d-scene-understanding-from-spherical-observations-in-the-wild.html", "arxiv_url": "https://arxiv.org/abs/2609.09012v1" }, { "category": "cs.CV", "position_in_category": 119, "category_size": 237, "title": "A Joint 2D-3D Statistical Shape Model for Orthopedic Reconstruction", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "A Joint 2D-3D Statistical Shape Model for Orthopedic Reconstruction: the #119 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-joint-2d-3d-statistical-shape-model-for-orthopedic-reconstruction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-joint-2d-3d-statistical-shape-model-for-orthopedic-reconstruction.html", "arxiv_url": "https://arxiv.org/abs/2609.09010v1" }, { "category": "cs.CV", "position_in_category": 120, "category_size": 237, "title": "DXPR: Depth-Based Vision-LiDAR Cross-Modal Place Recognition Using Vision Foundation Models", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "DXPR: Depth-Based Vision-LiDAR Cross-Modal Place Recognition Using Vision Foundation Models: the #120 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dxpr-depth-based-vision-lidar-cross-modal-place-recognition-using-vision-foundat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dxpr-depth-based-vision-lidar-cross-modal-place-recognition-using-vision-foundat.html", "arxiv_url": "https://arxiv.org/abs/2609.09005v1" }, { "category": "cs.CV", "position_in_category": 121, "category_size": 237, "title": "Concentrate After Imagination: Text-Conditioned Evidence Grounding for Partially Relevant Video Retrieval", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Concentrate After Imagination: Text-Conditioned Evidence Grounding for Partially Relevant Video Retrieval: the #121 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/concentrate-after-imagination-text-conditioned-evidence-grounding-for-partially-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/concentrate-after-imagination-text-conditioned-evidence-grounding-for-partially-.html", "arxiv_url": "https://arxiv.org/abs/2609.08999v1" }, { "category": "cs.CV", "position_in_category": 122, "category_size": 237, "title": "Prior-free relative 6D pose estimation of multiple object instances", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Prior-free relative 6D pose estimation of multiple object instances: the #122 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/prior-free-relative-6d-pose-estimation-of-multiple-object-instances.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/prior-free-relative-6d-pose-estimation-of-multiple-object-instances.html", "arxiv_url": "https://arxiv.org/abs/2609.08949v1" }, { "category": "cs.CV", "position_in_category": 123, "category_size": 237, "title": "EgoSIS: From Factorized Visual Ego-Transitions to Motion-Canonical Spatial Evidence for UAV Reasoning", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "EgoSIS: From Factorized Visual Ego-Transitions to Motion-Canonical Spatial Evidence for UAV Reasoning: the #123 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/egosis-from-factorized-visual-ego-transitions-to-motion-canonical-spatial-eviden.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/egosis-from-factorized-visual-ego-transitions-to-motion-canonical-spatial-eviden.html", "arxiv_url": "https://arxiv.org/abs/2609.08938v1" }, { "category": "cs.CV", "position_in_category": 124, "category_size": 237, "title": "CoSA: Correlation-Guided Change A ttention with Learnable Residual Gating for Remote Sensing Change Detection", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "CoSA: Correlation-Guided Change A ttention with Learnable Residual Gating for Remote Sensing Change Detection: the #124 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cosa-correlation-guided-change-a-ttention-with-learnable-residual-gating-for-rem.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cosa-correlation-guided-change-a-ttention-with-learnable-residual-gating-for-rem.html", "arxiv_url": "https://arxiv.org/abs/2609.08914v1" }, { "category": "cs.CV", "position_in_category": 125, "category_size": 237, "title": "Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation: the #125 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evolution-of-multimodal-question-answering-from-modality-adaptive-extraction-to-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evolution-of-multimodal-question-answering-from-modality-adaptive-extraction-to-.html", "arxiv_url": "https://arxiv.org/abs/2609.08896v1" }, { "category": "cs.CV", "position_in_category": 126, "category_size": 237, "title": "FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory: the #126 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/frame-factored-retrieval-via-attribute-readouts-for-object-centric-scene-memory.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/frame-factored-retrieval-via-attribute-readouts-for-object-centric-scene-memory.html", "arxiv_url": "https://arxiv.org/abs/2609.08886v1" }, { "category": "cs.CV", "position_in_category": 127, "category_size": 237, "title": "Medical AI Encodes a \"Feeling of Error\": Verifying Cancer Segmentation via Internal Concepts", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Medical AI Encodes a \"Feeling of Error\": Verifying Cancer Segmentation via Internal Concepts: the #127 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/medical-ai-encodes-a-feeling-of-error-verifying-cancer-segmentation-via-internal.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/medical-ai-encodes-a-feeling-of-error-verifying-cancer-segmentation-via-internal.html", "arxiv_url": "https://arxiv.org/abs/2609.08879v1" }, { "category": "cs.CL", "position_in_category": 91, "category_size": 186, "title": "ReCite: Agentic Reasoning for Faithful Citation", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "ReCite: Agentic Reasoning for Faithful Citation: the #91 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/recite-agentic-reasoning-for-faithful-citation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/recite-agentic-reasoning-for-faithful-citation.html", "arxiv_url": "https://arxiv.org/abs/2609.09156v1" }, { "category": "cs.CL", "position_in_category": 92, "category_size": 186, "title": "Copying explains the collective behavior of AI agents in the wild", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Copying explains the collective behavior of AI agents in the wild: the #92 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/copying-explains-the-collective-behavior-of-ai-agents-in-the-wild.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/copying-explains-the-collective-behavior-of-ai-agents-in-the-wild.html", "arxiv_url": "https://arxiv.org/abs/2609.09150v1" }, { "category": "cs.CL", "position_in_category": 93, "category_size": 186, "title": "Studying Image Tokenizers as Visual Languages in Unified Multimodal Models", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Studying Image Tokenizers as Visual Languages in Unified Multimodal Models: the #93 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/studying-image-tokenizers-as-visual-languages-in-unified-multimodal-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/studying-image-tokenizers-as-visual-languages-in-unified-multimodal-models.html", "arxiv_url": "https://arxiv.org/abs/2609.09143v1" }, { "category": "cs.CL", "position_in_category": 94, "category_size": 186, "title": "It's Not RoPE that Creates Sinks: The Role of Self-Concentration and Value-Non-Mixing in Attention", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "It's Not RoPE that Creates Sinks: The Role of Self-Concentration and Value-Non-Mixing in Attention: the #94 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/it-s-not-rope-that-creates-sinks-the-role-of-self-concentration-and-value-non-mi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/it-s-not-rope-that-creates-sinks-the-role-of-self-concentration-and-value-non-mi.html", "arxiv_url": "https://arxiv.org/abs/2609.09085v1" }, { "category": "cs.CL", "position_in_category": 95, "category_size": 186, "title": "ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation: the #95 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/actreview-rebuttal-guided-training-data-and-rubric-rewards-for-actionable-peer-r.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/actreview-rebuttal-guided-training-data-and-rubric-rewards-for-actionable-peer-r.html", "arxiv_url": "https://arxiv.org/abs/2609.09076v1" }, { "category": "cs.CL", "position_in_category": 96, "category_size": 186, "title": "ToolLoop: Closed-Loop Tool-Use Data Synthesis via Decomposed Generation and Dynamic Self-Feedback", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "ToolLoop: Closed-Loop Tool-Use Data Synthesis via Decomposed Generation and Dynamic Self-Feedback: the #96 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/toolloop-closed-loop-tool-use-data-synthesis-via-decomposed-generation-and-dynam.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/toolloop-closed-loop-tool-use-data-synthesis-via-decomposed-generation-and-dynam.html", "arxiv_url": "https://arxiv.org/abs/2609.09072v1" }, { "category": "cs.CL", "position_in_category": 97, "category_size": 186, "title": "Good Pretraining, Bad SFT: Checkpoint Quality Across the Training Stack", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Good Pretraining, Bad SFT: Checkpoint Quality Across the Training Stack: the #97 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/good-pretraining-bad-sft-checkpoint-quality-across-the-training-stack.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/good-pretraining-bad-sft-checkpoint-quality-across-the-training-stack.html", "arxiv_url": "https://arxiv.org/abs/2609.08966v1" }, { "category": "cs.CL", "position_in_category": 98, "category_size": 186, "title": "PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving: the #98 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/plannerforge-llm-agents-for-scenario-based-testing-of-motion-planners-in-autonom.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/plannerforge-llm-agents-for-scenario-based-testing-of-motion-planners-in-autonom.html", "arxiv_url": "https://arxiv.org/abs/2609.08965v1" }, { "category": "cs.CL", "position_in_category": 99, "category_size": 186, "title": "Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation: the #99 most recent of 186 cs.CL papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluating-and-improving-evidence-grounded-fact-checking-in-llms-via-multi-round.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evaluating-and-improving-evidence-grounded-fact-checking-in-llms-via-multi-round.html", "arxiv_url": "https://arxiv.org/abs/2609.08943v1" }, { "category": "cs.AI", "position_in_category": 141, "category_size": 300, "title": "TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model: the #141 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tango-humanoid-navigation-in-cluttered-environments-with-a-whole-body-vision-lan.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tango-humanoid-navigation-in-cluttered-environments-with-a-whole-body-vision-lan.html", "arxiv_url": "https://arxiv.org/abs/2609.09158v1" }, { "category": "cs.AI", "position_in_category": 142, "category_size": 300, "title": "Procedural Graphs: Self-Evolving Execution Structures for LLM Agents", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Procedural Graphs: Self-Evolving Execution Structures for LLM Agents: the #142 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/procedural-graphs-self-evolving-execution-structures-for-llm-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/procedural-graphs-self-evolving-execution-structures-for-llm-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.09153v1" }, { "category": "cs.AI", "position_in_category": 143, "category_size": 300, "title": "NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting: the #143 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/noah-learning-the-full-patient-journey-a-longitudinal-multimodal-time-aware-mode.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/noah-learning-the-full-patient-journey-a-longitudinal-multimodal-time-aware-mode.html", "arxiv_url": "https://arxiv.org/abs/2609.09140v1" }, { "category": "cs.AI", "position_in_category": 144, "category_size": 300, "title": "A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes: the #144 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-data-driven-framework-for-identifying-and-prioritizing-rpa-opportunities-in-he.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-data-driven-framework-for-identifying-and-prioritizing-rpa-opportunities-in-he.html", "arxiv_url": "https://arxiv.org/abs/2609.09137v1" }, { "category": "cs.AI", "position_in_category": 145, "category_size": 300, "title": "Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails: the #145 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/co-evolving-harnesses-and-models-on-policy-correction-helps-weaker-models-catch-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/co-evolving-harnesses-and-models-on-policy-correction-helps-weaker-models-catch-.html", "arxiv_url": "https://arxiv.org/abs/2609.09134v1" }, { "category": "cs.AI", "position_in_category": 146, "category_size": 300, "title": "ExecCritic: Learn to Test, Test to Improve for Coding Agents", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "ExecCritic: Learn to Test, Test to Improve for Coding Agents: the #146 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/execcritic-learn-to-test-test-to-improve-for-coding-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/execcritic-learn-to-test-test-to-improve-for-coding-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.09133v1" }, { "category": "cs.AI", "position_in_category": 147, "category_size": 300, "title": "A Generalization of Amari's Bayesian Duality", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "A Generalization of Amari's Bayesian Duality: the #147 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-generalization-of-amari-s-bayesian-duality.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-generalization-of-amari-s-bayesian-duality.html", "arxiv_url": "https://arxiv.org/abs/2609.09126v1" }, { "category": "cs.AI", "position_in_category": 148, "category_size": 300, "title": "Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs: the #148 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/canonical-color-as-a-lens-into-concept-decodability-in-vision-encoders-and-vlms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/canonical-color-as-a-lens-into-concept-decodability-in-vision-encoders-and-vlms.html", "arxiv_url": "https://arxiv.org/abs/2609.09124v1" }, { "category": "cs.AI", "position_in_category": 149, "category_size": 300, "title": "DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination: the #149 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/decal-towards-physically-grounded-dexterous-vision-language-action-models-via-co.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/decal-towards-physically-grounded-dexterous-vision-language-action-models-via-co.html", "arxiv_url": "https://arxiv.org/abs/2609.09119v1" }, { "category": "cs.AI", "position_in_category": 150, "category_size": 300, "title": "MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents: the #150 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/meclear-cooperative-game-theoretic-attribution-and-risk-aware-memory-clearance-f.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/meclear-cooperative-game-theoretic-attribution-and-risk-aware-memory-clearance-f.html", "arxiv_url": "https://arxiv.org/abs/2609.09115v1" }, { "category": "cs.AI", "position_in_category": 151, "category_size": 300, "title": "SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?: the #151 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/saescientist-bench-can-ai-agents-conduct-autonomous-sae-interpretability-researc.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/saescientist-bench-can-ai-agents-conduct-autonomous-sae-interpretability-researc.html", "arxiv_url": "https://arxiv.org/abs/2609.09113v1" }, { "category": "cs.AI", "position_in_category": 152, "category_size": 300, "title": "The Surprising Effectiveness of Approximate Value Iteration in Self-Play", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "The Surprising Effectiveness of Approximate Value Iteration in Self-Play: the #152 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-surprising-effectiveness-of-approximate-value-iteration-in-self-play.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-surprising-effectiveness-of-approximate-value-iteration-in-self-play.html", "arxiv_url": "https://arxiv.org/abs/2609.09094v1" }, { "category": "cs.AI", "position_in_category": 153, "category_size": 300, "title": "Measuring LLM Sycophancy under Sustained Multi-Turn Pressure", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Measuring LLM Sycophancy under Sustained Multi-Turn Pressure: the #153 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/measuring-llm-sycophancy-under-sustained-multi-turn-pressure.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/measuring-llm-sycophancy-under-sustained-multi-turn-pressure.html", "arxiv_url": "https://arxiv.org/abs/2609.09090v1" }, { "category": "cs.AI", "position_in_category": 154, "category_size": 300, "title": "GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting: the #154 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/godeep-annotation-free-open-vocabulary-3d-scene-understanding-via-language-space.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/godeep-annotation-free-open-vocabulary-3d-scene-understanding-via-language-space.html", "arxiv_url": "https://arxiv.org/abs/2609.09082v1" }, { "category": "cs.AI", "position_in_category": 155, "category_size": 300, "title": "Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training: the #155 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/everything-in-moderation-per-domain-coverage-optima-and-alignment-resistant-doma.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/everything-in-moderation-per-domain-coverage-optima-and-alignment-resistant-doma.html", "arxiv_url": "https://arxiv.org/abs/2609.09081v1" }, { "category": "cs.AI", "position_in_category": 156, "category_size": 300, "title": "ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR: the #156 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/thinkprior-zero-rollout-difficulty-priors-for-cold-start-prompt-selection-in-rlv.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/thinkprior-zero-rollout-difficulty-priors-for-cold-start-prompt-selection-in-rlv.html", "arxiv_url": "https://arxiv.org/abs/2609.09075v1" }, { "category": "cs.AI", "position_in_category": 157, "category_size": 300, "title": "Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics: the #157 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/performance-of-clinical-ai-system-and-physicians-and-frontier-language-models-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/performance-of-clinical-ai-system-and-physicians-and-frontier-language-models-in.html", "arxiv_url": "https://arxiv.org/abs/2609.09070v1" }, { "category": "cs.AI", "position_in_category": 158, "category_size": 300, "title": "Time-Varying Data as Sheaves: an Invitation to Narratives", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Time-Varying Data as Sheaves: an Invitation to Narratives: the #158 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/time-varying-data-as-sheaves-an-invitation-to-narratives.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/time-varying-data-as-sheaves-an-invitation-to-narratives.html", "arxiv_url": "https://arxiv.org/abs/2609.09056v1" }, { "category": "cs.AI", "position_in_category": 159, "category_size": 300, "title": "Training-Free Task Vectors for LLM Behavioral Control", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "Training-Free Task Vectors for LLM Behavioral Control: the #159 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/training-free-task-vectors-for-llm-behavioral-control.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/training-free-task-vectors-for-llm-behavioral-control.html", "arxiv_url": "https://arxiv.org/abs/2609.09054v1" }, { "category": "cs.AI", "position_in_category": 160, "category_size": 300, "title": "The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits", "published": "2026-09-08", "recorded_on": "2026-09-09", "citation": "The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits: the #160 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-audit-decides-the-verdict-instrument-effects-rival-demographic-bias-in-llm-d.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-audit-decides-the-verdict-instrument-effects-rival-demographic-bias-in-llm-d.html", "arxiv_url": "https://arxiv.org/abs/2609.09048v1" }, { "category": "cs.LG", "position_in_category": 109, "category_size": 215, "title": "UniMate: One Unified Model to Animate Diverse Skeletons", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "UniMate: One Unified Model to Animate Diverse Skeletons: the #109 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unimate-one-unified-model-to-animate-diverse-skeletons.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/unimate-one-unified-model-to-animate-diverse-skeletons.html", "arxiv_url": "https://arxiv.org/abs/2609.05415v1" }, { "category": "cs.LG", "position_in_category": 110, "category_size": 215, "title": "Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation: the #110 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/distill-globally-adapt-locally-reasoning-distillation-and-product-type-test-time.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/distill-globally-adapt-locally-reasoning-distillation-and-product-type-test-time.html", "arxiv_url": "https://arxiv.org/abs/2609.05363v1" }, { "category": "cs.LG", "position_in_category": 111, "category_size": 215, "title": "Variational Continuation for Double Pendulum Periodic Orbits", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Variational Continuation for Double Pendulum Periodic Orbits: the #111 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/variational-continuation-for-double-pendulum-periodic-orbits.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/variational-continuation-for-double-pendulum-periodic-orbits.html", "arxiv_url": "https://arxiv.org/abs/2609.05337v1" }, { "category": "cs.LG", "position_in_category": 112, "category_size": 215, "title": "Embedded Graph Flows for Categorical Graph Generation", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Embedded Graph Flows for Categorical Graph Generation: the #112 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/embedded-graph-flows-for-categorical-graph-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/embedded-graph-flows-for-categorical-graph-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.05328v1" }, { "category": "cs.LG", "position_in_category": 113, "category_size": 215, "title": "Adaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained Environments", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Adaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained Environments: the #113 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adaptive-gated-deepfake-detection-for-low-resolution-and-resource-constrained-en.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/adaptive-gated-deepfake-detection-for-low-resolution-and-resource-constrained-en.html", "arxiv_url": "https://arxiv.org/abs/2609.05320v1" }, { "category": "cs.LG", "position_in_category": 114, "category_size": 215, "title": "Optimal Rates for Agentic Networked Information Aggregation", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Optimal Rates for Agentic Networked Information Aggregation: the #114 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/optimal-rates-for-agentic-networked-information-aggregation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/optimal-rates-for-agentic-networked-information-aggregation.html", "arxiv_url": "https://arxiv.org/abs/2609.05318v1" }, { "category": "cs.LG", "position_in_category": 115, "category_size": 215, "title": "Online Change-point Detection for Cooperative Multi-Agent Reinforcement Learning", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Online Change-point Detection for Cooperative Multi-Agent Reinforcement Learning: the #115 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/online-change-point-detection-for-cooperative-multi-agent-reinforcement-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/online-change-point-detection-for-cooperative-multi-agent-reinforcement-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.05298v1" }, { "category": "cs.LG", "position_in_category": 116, "category_size": 215, "title": "LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics: the #116 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lexflip-a-dissociation-diagnostic-for-legal-meaning-preservation-metrics.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/lexflip-a-dissociation-diagnostic-for-legal-meaning-preservation-metrics.html", "arxiv_url": "https://arxiv.org/abs/2609.05296v1" }, { "category": "cs.LG", "position_in_category": 117, "category_size": 215, "title": "Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar: the #117 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-from-vae-errors-to-support-ecg-based-differential-diagnosis-of-myocardi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-from-vae-errors-to-support-ecg-based-differential-diagnosis-of-myocardi.html", "arxiv_url": "https://arxiv.org/abs/2609.05294v1" }, { "category": "cs.LG", "position_in_category": 118, "category_size": 215, "title": "How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method: the #118 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-to-speculate-about-uncertainty-in-agentic-coding-a-draft-model-gate-method.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-to-speculate-about-uncertainty-in-agentic-coding-a-draft-model-gate-method.html", "arxiv_url": "https://arxiv.org/abs/2609.05274v1" }, { "category": "cs.LG", "position_in_category": 119, "category_size": 215, "title": "Shallow neural network approximation in mixed Sobolev spaces", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Shallow neural network approximation in mixed Sobolev spaces: the #119 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/shallow-neural-network-approximation-in-mixed-sobolev-spaces.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/shallow-neural-network-approximation-in-mixed-sobolev-spaces.html", "arxiv_url": "https://arxiv.org/abs/2609.05263v1" }, { "category": "cs.LG", "position_in_category": 120, "category_size": 215, "title": "GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection: the #120 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/glass-graph-language-alignment-with-spherical-scoring-for-transferable-graph-lev.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/glass-graph-language-alignment-with-spherical-scoring-for-transferable-graph-lev.html", "arxiv_url": "https://arxiv.org/abs/2609.05253v1" }, { "category": "cs.LG", "position_in_category": 121, "category_size": 215, "title": "Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC: the #121 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/proton-irradiation-characterization-of-an-open-source-ml-accelerator-on-a-zynq-u.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/proton-irradiation-characterization-of-an-open-source-ml-accelerator-on-a-zynq-u.html", "arxiv_url": "https://arxiv.org/abs/2609.05249v1" }, { "category": "cs.LG", "position_in_category": 122, "category_size": 215, "title": "PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price Forecasting", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price Forecasting: the #122 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/price-a-systematic-study-of-llm-adaptation-choices-for-bitcoin-price-forecasting.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/price-a-systematic-study-of-llm-adaptation-choices-for-bitcoin-price-forecasting.html", "arxiv_url": "https://arxiv.org/abs/2609.05235v1" }, { "category": "cs.LG", "position_in_category": 123, "category_size": 215, "title": "Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials: the #123 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hessian-based-molecular-conformation-augmentation-for-a-scalable-and-efficient-s.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hessian-based-molecular-conformation-augmentation-for-a-scalable-and-efficient-s.html", "arxiv_url": "https://arxiv.org/abs/2609.05233v1" }, { "category": "cs.LG", "position_in_category": 124, "category_size": 215, "title": "FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification: the #124 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/feddraw-federated-dual-reputation-annealing-weighting-for-heterogeneous-multi-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/feddraw-federated-dual-reputation-annealing-weighting-for-heterogeneous-multi-in.html", "arxiv_url": "https://arxiv.org/abs/2609.05223v1" }, { "category": "cs.LG", "position_in_category": 125, "category_size": 215, "title": "A Verifier-Guided Explainable Reasoning Framework with Gold-Anchored QLoRA, Task-Aware Mixture-of-Experts, and Group-Relative RLVR", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "A Verifier-Guided Explainable Reasoning Framework with Gold-Anchored QLoRA, Task-Aware Mixture-of-Experts, and Group-Relative RLVR: the #125 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-verifier-guided-explainable-reasoning-framework-with-gold-anchored-qlora-task-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-verifier-guided-explainable-reasoning-framework-with-gold-anchored-qlora-task-.html", "arxiv_url": "https://arxiv.org/abs/2609.05221v1" }, { "category": "cs.CV", "position_in_category": 128, "category_size": 237, "title": "WorldSculpt: Generating Compositional Worlds from Grounded Videos", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "WorldSculpt: Generating Compositional Worlds from Grounded Videos: the #128 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/worldsculpt-generating-compositional-worlds-from-grounded-videos.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/worldsculpt-generating-compositional-worlds-from-grounded-videos.html", "arxiv_url": "https://arxiv.org/abs/2609.05416v1" }, { "category": "cs.CV", "position_in_category": 129, "category_size": 237, "title": "A Generalizable Feature Extractor for Alzheimer's-Related Brain MRI Tasks", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "A Generalizable Feature Extractor for Alzheimer's-Related Brain MRI Tasks: the #129 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-generalizable-feature-extractor-for-alzheimer-s-related-brain-mri-tasks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-generalizable-feature-extractor-for-alzheimer-s-related-brain-mri-tasks.html", "arxiv_url": "https://arxiv.org/abs/2609.05400v1" }, { "category": "cs.CV", "position_in_category": 130, "category_size": 237, "title": "From Interpretability Methods to Interpretable Models", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "From Interpretability Methods to Interpretable Models: the #130 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-interpretability-methods-to-interpretable-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-interpretability-methods-to-interpretable-models.html", "arxiv_url": "https://arxiv.org/abs/2609.05399v1" }, { "category": "cs.CV", "position_in_category": 131, "category_size": 237, "title": "CrossDepth: Geometry-Constrained Attention for Generalizable Multi-View Surround Depth Estimation", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "CrossDepth: Geometry-Constrained Attention for Generalizable Multi-View Surround Depth Estimation: the #131 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/crossdepth-geometry-constrained-attention-for-generalizable-multi-view-surround-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/crossdepth-geometry-constrained-attention-for-generalizable-multi-view-surround-.html", "arxiv_url": "https://arxiv.org/abs/2609.05397v1" }, { "category": "cs.CV", "position_in_category": 132, "category_size": 237, "title": "Think-Verify-Revise: Neuro-Symbolic Visual Reasoning with Vision-Language Models and Dynamic Logic Tensor Networks", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Think-Verify-Revise: Neuro-Symbolic Visual Reasoning with Vision-Language Models and Dynamic Logic Tensor Networks: the #132 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/think-verify-revise-neuro-symbolic-visual-reasoning-with-vision-language-models-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/think-verify-revise-neuro-symbolic-visual-reasoning-with-vision-language-models-.html", "arxiv_url": "https://arxiv.org/abs/2609.05388v1" }, { "category": "cs.CV", "position_in_category": 133, "category_size": 237, "title": "Towards Neuro-Symbolic Procedural Reasoning for Long-Horizon Vision-Language-Action Manipulation", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Towards Neuro-Symbolic Procedural Reasoning for Long-Horizon Vision-Language-Action Manipulation: the #133 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-neuro-symbolic-procedural-reasoning-for-long-horizon-vision-language-act.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/towards-neuro-symbolic-procedural-reasoning-for-long-horizon-vision-language-act.html", "arxiv_url": "https://arxiv.org/abs/2609.05369v1" }, { "category": "cs.CV", "position_in_category": 134, "category_size": 237, "title": "MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation: the #134 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/meox-compact-multimodal-mixture-of-experts-for-earth-observation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/meox-compact-multimodal-mixture-of-experts-for-earth-observation.html", "arxiv_url": "https://arxiv.org/abs/2609.05351v1" }, { "category": "cs.CV", "position_in_category": 135, "category_size": 237, "title": "Scalable Detection of Fossil Palynomorphs in Multifocal Digital Microscopy Images", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Scalable Detection of Fossil Palynomorphs in Multifocal Digital Microscopy Images: the #135 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scalable-detection-of-fossil-palynomorphs-in-multifocal-digital-microscopy-image.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/scalable-detection-of-fossil-palynomorphs-in-multifocal-digital-microscopy-image.html", "arxiv_url": "https://arxiv.org/abs/2609.05323v1" }, { "category": "cs.CV", "position_in_category": 136, "category_size": 237, "title": "Learning Spatial-Spectral Refinement and Calibrating Complementary Observations for Hyperspectral Image Super-Resolution", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Learning Spatial-Spectral Refinement and Calibrating Complementary Observations for Hyperspectral Image Super-Resolution: the #136 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-spatial-spectral-refinement-and-calibrating-complementary-observations-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-spatial-spectral-refinement-and-calibrating-complementary-observations-.html", "arxiv_url": "https://arxiv.org/abs/2609.05303v1" }, { "category": "cs.CV", "position_in_category": 137, "category_size": 237, "title": "Compact Neural Appearance Models for Efficient Gaussian Splatting", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Compact Neural Appearance Models for Efficient Gaussian Splatting: the #137 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/compact-neural-appearance-models-for-efficient-gaussian-splatting.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/compact-neural-appearance-models-for-efficient-gaussian-splatting.html", "arxiv_url": "https://arxiv.org/abs/2609.05255v1" }, { "category": "cs.CV", "position_in_category": 138, "category_size": 237, "title": "Few-Shot Video Recognition via Hierarchical Metric Learning", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Few-Shot Video Recognition via Hierarchical Metric Learning: the #138 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/few-shot-video-recognition-via-hierarchical-metric-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/few-shot-video-recognition-via-hierarchical-metric-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.05242v1" }, { "category": "cs.CV", "position_in_category": 139, "category_size": 237, "title": "Cross-Domain Tracker Adaptation Without Target-Domain Labels via Vision-Language Agents", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Cross-Domain Tracker Adaptation Without Target-Domain Labels via Vision-Language Agents: the #139 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cross-domain-tracker-adaptation-without-target-domain-labels-via-vision-language.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cross-domain-tracker-adaptation-without-target-domain-labels-via-vision-language.html", "arxiv_url": "https://arxiv.org/abs/2609.05239v1" }, { "category": "cs.CV", "position_in_category": 140, "category_size": 237, "title": "Measured Sliders: Learning Continuous Controls from Differentiable Image Measurements", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Measured Sliders: Learning Continuous Controls from Differentiable Image Measurements: the #140 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/measured-sliders-learning-continuous-controls-from-differentiable-image-measurem.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/measured-sliders-learning-continuous-controls-from-differentiable-image-measurem.html", "arxiv_url": "https://arxiv.org/abs/2609.05234v1" }, { "category": "cs.CV", "position_in_category": 141, "category_size": 237, "title": "First Things First: Teaching LLM-Based Agents to Prioritize Must-Haves before Nice-to-Haves", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "First Things First: Teaching LLM-Based Agents to Prioritize Must-Haves before Nice-to-Haves: the #141 most recent of 237 cs.CV papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/first-things-first-teaching-llm-based-agents-to-prioritize-must-haves-before-nic.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/first-things-first-teaching-llm-based-agents-to-prioritize-must-haves-before-nic.html", "arxiv_url": "https://arxiv.org/abs/2609.05224v1" }, { "category": "cs.CL", "position_in_category": 100, "category_size": 186, "title": "WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data: the #100 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/wearableqa-a-benchmark-for-health-reasoning-over-real-world-wearable-data.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/wearableqa-a-benchmark-for-health-reasoning-over-real-world-wearable-data.html", "arxiv_url": "https://arxiv.org/abs/2609.05405v1" }, { "category": "cs.CL", "position_in_category": 101, "category_size": 186, "title": "Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models: the #101 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/same-trajectory-contradictory-rewards-robormbench-paraphrase-fragility-in-vision.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/same-trajectory-contradictory-rewards-robormbench-paraphrase-fragility-in-vision.html", "arxiv_url": "https://arxiv.org/abs/2609.05401v1" }, { "category": "cs.CL", "position_in_category": 102, "category_size": 186, "title": "Self-Supervised Lexical Representation Learning for Fast, Large-Scale Phylogenetic Inference", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Self-Supervised Lexical Representation Learning for Fast, Large-Scale Phylogenetic Inference: the #102 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/self-supervised-lexical-representation-learning-for-fast-large-scale-phylogeneti.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/self-supervised-lexical-representation-learning-for-fast-large-scale-phylogeneti.html", "arxiv_url": "https://arxiv.org/abs/2609.05262v1" }, { "category": "cs.CL", "position_in_category": 103, "category_size": 186, "title": "Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible Workers", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible Workers: the #103 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-large-language-models-anticipate-behavioral-responses-to-social-policies-a-c.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-large-language-models-anticipate-behavioral-responses-to-social-policies-a-c.html", "arxiv_url": "https://arxiv.org/abs/2609.05189v1" }, { "category": "cs.CL", "position_in_category": 104, "category_size": 186, "title": "Measuring the Novelty of Biomedical Papers Using the Latent Distances between Knowledge Units", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Measuring the Novelty of Biomedical Papers Using the Latent Distances between Knowledge Units: the #104 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/measuring-the-novelty-of-biomedical-papers-using-the-latent-distances-between-kn.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/measuring-the-novelty-of-biomedical-papers-using-the-latent-distances-between-kn.html", "arxiv_url": "https://arxiv.org/abs/2609.05175v1" }, { "category": "cs.CL", "position_in_category": 105, "category_size": 186, "title": "Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG: the #105 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/compression-beyond-the-uncompressed-a-two-stage-training-recipe-for-soft-context.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/compression-beyond-the-uncompressed-a-two-stage-training-recipe-for-soft-context.html", "arxiv_url": "https://arxiv.org/abs/2609.05152v1" }, { "category": "cs.CL", "position_in_category": 106, "category_size": 186, "title": "Large Language Models with At Most One Spike per Neuron", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Large Language Models with At Most One Spike per Neuron: the #106 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/large-language-models-with-at-most-one-spike-per-neuron.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/large-language-models-with-at-most-one-spike-per-neuron.html", "arxiv_url": "https://arxiv.org/abs/2609.05151v1" }, { "category": "cs.CL", "position_in_category": 107, "category_size": 186, "title": "From Vision to Language: Investigating Causal Information Flow in Multimodal Decision-Making", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "From Vision to Language: Investigating Causal Information Flow in Multimodal Decision-Making: the #107 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-vision-to-language-investigating-causal-information-flow-in-multimodal-deci.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-vision-to-language-investigating-causal-information-flow-in-multimodal-deci.html", "arxiv_url": "https://arxiv.org/abs/2609.05149v1" }, { "category": "cs.CL", "position_in_category": 108, "category_size": 186, "title": "A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment: the #108 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-human-in-the-loop-framework-for-ai-assisted-scoring-in-large-scale-writing-ass.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-human-in-the-loop-framework-for-ai-assisted-scoring-in-large-scale-writing-ass.html", "arxiv_url": "https://arxiv.org/abs/2609.05143v1" }, { "category": "cs.CL", "position_in_category": 109, "category_size": 186, "title": "NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary Knowledge Processing", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary Knowledge Processing: the #109 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ns-st-graphrag-neuro-symbolic-spatio-temporal-graphrag-for-literary-knowledge-pr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ns-st-graphrag-neuro-symbolic-spatio-temporal-graphrag-for-literary-knowledge-pr.html", "arxiv_url": "https://arxiv.org/abs/2609.05139v1" }, { "category": "cs.CL", "position_in_category": 110, "category_size": 186, "title": "Improving Language Identification for Code-Switched Utterances with Integer Linear Programming", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Improving Language Identification for Code-Switched Utterances with Integer Linear Programming: the #110 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/improving-language-identification-for-code-switched-utterances-with-integer-line.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/improving-language-identification-for-code-switched-utterances-with-integer-line.html", "arxiv_url": "https://arxiv.org/abs/2609.05099v1" }, { "category": "cs.CL", "position_in_category": 111, "category_size": 186, "title": "Measuring AI Accountability Through Argumentation Analysis: Can Model Reasoning Withstand Scrutiny?", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Measuring AI Accountability Through Argumentation Analysis: Can Model Reasoning Withstand Scrutiny?: the #111 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/measuring-ai-accountability-through-argumentation-analysis-can-model-reasoning-w.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/measuring-ai-accountability-through-argumentation-analysis-can-model-reasoning-w.html", "arxiv_url": "https://arxiv.org/abs/2609.05088v1" }, { "category": "cs.CL", "position_in_category": 112, "category_size": 186, "title": "TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents: the #112 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/truthinsightbench-an-evidence-grounded-benchmark-for-automated-evaluation-of-ope.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/truthinsightbench-an-evidence-grounded-benchmark-for-automated-evaluation-of-ope.html", "arxiv_url": "https://arxiv.org/abs/2609.05079v1" }, { "category": "cs.CL", "position_in_category": 113, "category_size": 186, "title": "Influence Score and Transformers interpretability: Measure of the Effective Impact of Attention Heads at inference time", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Influence Score and Transformers interpretability: Measure of the Effective Impact of Attention Heads at inference time: the #113 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/influence-score-and-transformers-interpretability-measure-of-the-effective-impac.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/influence-score-and-transformers-interpretability-measure-of-the-effective-impac.html", "arxiv_url": "https://arxiv.org/abs/2609.05074v1" }, { "category": "cs.AI", "position_in_category": 161, "category_size": 300, "title": "Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction: the #161 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diffusion-tv-experiencing-diffusion-models-through-tangible-embodied-interaction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/diffusion-tv-experiencing-diffusion-models-through-tangible-embodied-interaction.html", "arxiv_url": "https://arxiv.org/abs/2609.05404v1" }, { "category": "cs.AI", "position_in_category": 162, "category_size": 300, "title": "RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments: the #162 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/regionfed-federated-learning-for-personalized-query-understanding-in-heterogeneo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/regionfed-federated-learning-for-personalized-query-understanding-in-heterogeneo.html", "arxiv_url": "https://arxiv.org/abs/2609.05403v1" }, { "category": "cs.AI", "position_in_category": 163, "category_size": 300, "title": "A Deep Generative Model for Synthesizing Labeled Wireless Signals", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "A Deep Generative Model for Synthesizing Labeled Wireless Signals: the #163 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-deep-generative-model-for-synthesizing-labeled-wireless-signals.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-deep-generative-model-for-synthesizing-labeled-wireless-signals.html", "arxiv_url": "https://arxiv.org/abs/2609.05396v1" }, { "category": "cs.AI", "position_in_category": 164, "category_size": 300, "title": "Multi-Step Tool-Calling over Korean Open Public APIs: A Benchmark and a Data-Synthesis Recipe", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Multi-Step Tool-Calling over Korean Open Public APIs: A Benchmark and a Data-Synthesis Recipe: the #164 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multi-step-tool-calling-over-korean-open-public-apis-a-benchmark-and-a-data-synt.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multi-step-tool-calling-over-korean-open-public-apis-a-benchmark-and-a-data-synt.html", "arxiv_url": "https://arxiv.org/abs/2609.05395v1" }, { "category": "cs.AI", "position_in_category": 165, "category_size": 300, "title": "Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence: the #165 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/necessary-or-sufficient-evaluating-llm-explanations-with-behavioural-evidence.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/necessary-or-sufficient-evaluating-llm-explanations-with-behavioural-evidence.html", "arxiv_url": "https://arxiv.org/abs/2609.05385v1" }, { "category": "cs.AI", "position_in_category": 166, "category_size": 300, "title": "Reflection-aware Generative Novel View Synthesis", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Reflection-aware Generative Novel View Synthesis: the #166 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reflection-aware-generative-novel-view-synthesis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/reflection-aware-generative-novel-view-synthesis.html", "arxiv_url": "https://arxiv.org/abs/2609.05382v1" }, { "category": "cs.AI", "position_in_category": 167, "category_size": 300, "title": "Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models: the #167 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/molecular-d-j-vu-digit-level-retrieval-of-published-values-in-frontier-language-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/molecular-d-j-vu-digit-level-retrieval-of-published-values-in-frontier-language-.html", "arxiv_url": "https://arxiv.org/abs/2609.05381v1" }, { "category": "cs.AI", "position_in_category": 168, "category_size": 300, "title": "What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies: the #168 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/what-matters-when-diagnosing-and-improving-conditional-visual-grounding-in-visuo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/what-matters-when-diagnosing-and-improving-conditional-visual-grounding-in-visuo.html", "arxiv_url": "https://arxiv.org/abs/2609.05376v1" }, { "category": "cs.AI", "position_in_category": 169, "category_size": 300, "title": "CUA-Universe: A Scalable and Dynamic Environment for Hybrid GUI+CLI Agents", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "CUA-Universe: A Scalable and Dynamic Environment for Hybrid GUI+CLI Agents: the #169 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cua-universe-a-scalable-and-dynamic-environment-for-hybrid-gui-cli-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cua-universe-a-scalable-and-dynamic-environment-for-hybrid-gui-cli-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.05374v1" }, { "category": "cs.AI", "position_in_category": 170, "category_size": 300, "title": "When LLM Decompilers Recompile More and Preserve Less", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "When LLM Decompilers Recompile More and Preserve Less: the #170 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-llm-decompilers-recompile-more-and-preserve-less.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-llm-decompilers-recompile-more-and-preserve-less.html", "arxiv_url": "https://arxiv.org/abs/2609.05370v1" }, { "category": "cs.AI", "position_in_category": 171, "category_size": 300, "title": "Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool: the #171 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/design-docs-are-all-you-need-an-ai-native-machine-learning-performance-tool.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/design-docs-are-all-you-need-an-ai-native-machine-learning-performance-tool.html", "arxiv_url": "https://arxiv.org/abs/2609.05364v1" }, { "category": "cs.AI", "position_in_category": 172, "category_size": 300, "title": "Who Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher Education", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Who Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher Education: the #172 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/who-should-grade-my-work-student-perspectives-on-transparent-ai-assisted-writing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/who-should-grade-my-work-student-perspectives-on-transparent-ai-assisted-writing.html", "arxiv_url": "https://arxiv.org/abs/2609.05346v1" }, { "category": "cs.AI", "position_in_category": 173, "category_size": 300, "title": "Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability: the #173 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-your-agent-s-memory-survive-a-model-upgrade-a-controlled-study-of-memory-po.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/does-your-agent-s-memory-survive-a-model-upgrade-a-controlled-study-of-memory-po.html", "arxiv_url": "https://arxiv.org/abs/2609.05339v1" }, { "category": "cs.AI", "position_in_category": 174, "category_size": 300, "title": "The History Is the Detector: Executing CVE Patch History, End-to-End", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "The History Is the Detector: Executing CVE Patch History, End-to-End: the #174 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-history-is-the-detector-executing-cve-patch-history-end-to-end.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-history-is-the-detector-executing-cve-patch-history-end-to-end.html", "arxiv_url": "https://arxiv.org/abs/2609.05335v1" }, { "category": "cs.AI", "position_in_category": 175, "category_size": 300, "title": "Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions: the #175 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lightweight-vision-transformer-compression-for-on-device-plant-disease-detection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/lightweight-vision-transformer-compression-for-on-device-plant-disease-detection.html", "arxiv_url": "https://arxiv.org/abs/2609.05334v1" }, { "category": "cs.AI", "position_in_category": 176, "category_size": 300, "title": "Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models: the #176 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/technical-manual-for-a-toolkit-for-measuring-contextual-individuation-in-transfo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/technical-manual-for-a-toolkit-for-measuring-contextual-individuation-in-transfo.html", "arxiv_url": "https://arxiv.org/abs/2609.05333v1" }, { "category": "cs.AI", "position_in_category": 177, "category_size": 300, "title": "LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams: the #177 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-driven-algorithm-design-for-quantum-circuit-synthesis-based-on-binary-decisi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm-driven-algorithm-design-for-quantum-circuit-synthesis-based-on-binary-decisi.html", "arxiv_url": "https://arxiv.org/abs/2609.05327v1" }, { "category": "cs.AI", "position_in_category": 178, "category_size": 300, "title": "RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?: the #178 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robospa-can-vla-models-go-beyond-simple-scenes-and-short-horizon-tasks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/robospa-can-vla-models-go-beyond-simple-scenes-and-short-horizon-tasks.html", "arxiv_url": "https://arxiv.org/abs/2609.05324v1" }, { "category": "cs.AI", "position_in_category": 179, "category_size": 300, "title": "Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness: the #179 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/large-language-models-for-hvac-operations-in-building-energy-systems-a-critical-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/large-language-models-for-hvac-operations-in-building-energy-systems-a-critical-.html", "arxiv_url": "https://arxiv.org/abs/2609.05314v1" }, { "category": "cs.AI", "position_in_category": 180, "category_size": 300, "title": "How Does mHC Use Its Residual Streams? Selective Routing and Near-Identity Mixing", "published": "2026-09-04", "recorded_on": "2026-09-08", "citation": "How Does mHC Use Its Residual Streams? Selective Routing and Near-Identity Mixing: the #180 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-does-mhc-use-its-residual-streams-selective-routing-and-near-identity-mixing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-does-mhc-use-its-residual-streams-selective-routing-and-near-identity-mixing.html", "arxiv_url": "https://arxiv.org/abs/2609.05309v1" }, { "category": "cs.LG", "position_in_category": 126, "category_size": 215, "title": "Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning: the #126 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/legibility-is-not-interpretability-comparing-judged-and-actual-importance-in-cha.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/legibility-is-not-interpretability-comparing-judged-and-actual-importance-in-cha.html", "arxiv_url": "https://arxiv.org/abs/2609.04194v1" }, { "category": "cs.LG", "position_in_category": 127, "category_size": 215, "title": "Robust PAC Learning of Concurrent Stochastic Games", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Robust PAC Learning of Concurrent Stochastic Games: the #127 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robust-pac-learning-of-concurrent-stochastic-games.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/robust-pac-learning-of-concurrent-stochastic-games.html", "arxiv_url": "https://arxiv.org/abs/2609.04189v1" }, { "category": "cs.LG", "position_in_category": 128, "category_size": 215, "title": "Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs: the #128 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/para-pipe-exploiting-hierarchical-operator-parallelism-of-ml-computational-graph.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/para-pipe-exploiting-hierarchical-operator-parallelism-of-ml-computational-graph.html", "arxiv_url": "https://arxiv.org/abs/2609.04168v1" }, { "category": "cs.LG", "position_in_category": 129, "category_size": 215, "title": "Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography: the #129 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/parameterised-graph-theory-for-tensor-networks-entanglement-rerouting-structural.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/parameterised-graph-theory-for-tensor-networks-entanglement-rerouting-structural.html", "arxiv_url": "https://arxiv.org/abs/2609.04165v1" }, { "category": "cs.LG", "position_in_category": 130, "category_size": 215, "title": "Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks: the #130 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/prospective-coding-improves-learning-in-deep-continuous-time-recurrent-networks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/prospective-coding-improves-learning-in-deep-continuous-time-recurrent-networks.html", "arxiv_url": "https://arxiv.org/abs/2609.04134v1" }, { "category": "cs.LG", "position_in_category": 131, "category_size": 215, "title": "Constant regret in general games via higher-order optimism", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Constant regret in general games via higher-order optimism: the #131 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/constant-regret-in-general-games-via-higher-order-optimism.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/constant-regret-in-general-games-via-higher-order-optimism.html", "arxiv_url": "https://arxiv.org/abs/2609.04113v1" }, { "category": "cs.LG", "position_in_category": 132, "category_size": 215, "title": "Hardware-Aware FP4 FlashAttention-4", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Hardware-Aware FP4 FlashAttention-4: the #132 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hardware-aware-fp4-flashattention-4.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hardware-aware-fp4-flashattention-4.html", "arxiv_url": "https://arxiv.org/abs/2609.04105v1" }, { "category": "cs.LG", "position_in_category": 133, "category_size": 215, "title": "DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training: the #133 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/draco-fine-grained-credit-assignment-with-dynamic-rubrics-for-long-horizon-agent.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/draco-fine-grained-credit-assignment-with-dynamic-rubrics-for-long-horizon-agent.html", "arxiv_url": "https://arxiv.org/abs/2609.04094v1" }, { "category": "cs.LG", "position_in_category": 134, "category_size": 215, "title": "Conditioning Degenerate Diffusion Models", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Conditioning Degenerate Diffusion Models: the #134 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/conditioning-degenerate-diffusion-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/conditioning-degenerate-diffusion-models.html", "arxiv_url": "https://arxiv.org/abs/2609.04090v1" }, { "category": "cs.LG", "position_in_category": 135, "category_size": 215, "title": "Subspace Inference Enables Efficient Active Reward Learning from Preferences", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Subspace Inference Enables Efficient Active Reward Learning from Preferences: the #135 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/subspace-inference-enables-efficient-active-reward-learning-from-preferences.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/subspace-inference-enables-efficient-active-reward-learning-from-preferences.html", "arxiv_url": "https://arxiv.org/abs/2609.04066v1" }, { "category": "cs.LG", "position_in_category": 136, "category_size": 215, "title": "The Head Complexity of Boolean Functions in Single-Layer Attention", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "The Head Complexity of Boolean Functions in Single-Layer Attention: the #136 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-head-complexity-of-boolean-functions-in-single-layer-attention.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-head-complexity-of-boolean-functions-in-single-layer-attention.html", "arxiv_url": "https://arxiv.org/abs/2609.04046v1" }, { "category": "cs.LG", "position_in_category": 137, "category_size": 215, "title": "Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach: the #137 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/influence-of-extruded-filament-shape-on-buildability-in-3d-concrete-printing-a-g.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/influence-of-extruded-filament-shape-on-buildability-in-3d-concrete-printing-a-g.html", "arxiv_url": "https://arxiv.org/abs/2609.04028v1" }, { "category": "cs.LG", "position_in_category": 138, "category_size": 215, "title": "FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models: the #138 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fly-eval-an-evidence-driven-evaluation-protocol-for-safety-constrained-flight-pr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fly-eval-an-evidence-driven-evaluation-protocol-for-safety-constrained-flight-pr.html", "arxiv_url": "https://arxiv.org/abs/2609.04021v1" }, { "category": "cs.LG", "position_in_category": 139, "category_size": 215, "title": "A location-invariant estimator of extremal quantile treatment effects for heavy-tailed distributions", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "A location-invariant estimator of extremal quantile treatment effects for heavy-tailed distributions: the #139 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-location-invariant-estimator-of-extremal-quantile-treatment-effects-for-heavy-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-location-invariant-estimator-of-extremal-quantile-treatment-effects-for-heavy-.html", "arxiv_url": "https://arxiv.org/abs/2609.04018v1" }, { "category": "cs.LG", "position_in_category": 140, "category_size": 215, "title": "LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening: the #140 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm4ckd-large-language-models-for-early-stage-chronic-kidney-disease-screening.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm4ckd-large-language-models-for-early-stage-chronic-kidney-disease-screening.html", "arxiv_url": "https://arxiv.org/abs/2609.04013v1" }, { "category": "cs.LG", "position_in_category": 141, "category_size": 215, "title": "Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data: the #141 most recent of 215 cs.LG papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/differentiable-hybrid-modelling-for-learning-and-optimising-chemical-transport-p.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/differentiable-hybrid-modelling-for-learning-and-optimising-chemical-transport-p.html", "arxiv_url": "https://arxiv.org/abs/2609.04011v1" }, { "category": "cs.CV", "position_in_category": 142, "category_size": 237, "title": "TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation: the #142 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tokenmatch-3d-mesh-correspondence-transformer-with-curvature-guided-tokenisation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tokenmatch-3d-mesh-correspondence-transformer-with-curvature-guided-tokenisation.html", "arxiv_url": "https://arxiv.org/abs/2609.04202v1" }, { "category": "cs.CV", "position_in_category": 143, "category_size": 237, "title": "Temporal Self-Distillation: Learning Visual State Tracking in Videos Without Supervision", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Temporal Self-Distillation: Learning Visual State Tracking in Videos Without Supervision: the #143 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/temporal-self-distillation-learning-visual-state-tracking-in-videos-without-supe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/temporal-self-distillation-learning-visual-state-tracking-in-videos-without-supe.html", "arxiv_url": "https://arxiv.org/abs/2609.04203v1" }, { "category": "cs.CV", "position_in_category": 144, "category_size": 237, "title": "Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction: the #144 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scal3r-learning-efficient-multi-relative-pose-query-for-scalable-online-3d-recon.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/scal3r-learning-efficient-multi-relative-pose-query-for-scalable-online-3d-recon.html", "arxiv_url": "https://arxiv.org/abs/2609.04201v1" }, { "category": "cs.CV", "position_in_category": 145, "category_size": 237, "title": "Principia: Relational Physics Tests for Video Models", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Principia: Relational Physics Tests for Video Models: the #145 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/principia-relational-physics-tests-for-video-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/principia-relational-physics-tests-for-video-models.html", "arxiv_url": "https://arxiv.org/abs/2609.04200v1" }, { "category": "cs.CV", "position_in_category": 146, "category_size": 237, "title": "Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States: the #146 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/puffin-world-scaling-a-unified-multimodal-model-with-native-3d-world-states.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/puffin-world-scaling-a-unified-multimodal-model-with-native-3d-world-states.html", "arxiv_url": "https://arxiv.org/abs/2609.04196v1" }, { "category": "cs.CV", "position_in_category": 147, "category_size": 237, "title": "Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations: the #147 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/zero-shot-novel-depth-synthesis-using-3d-foundation-models-scene-representations.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/zero-shot-novel-depth-synthesis-using-3d-foundation-models-scene-representations.html", "arxiv_url": "https://arxiv.org/abs/2609.04174v1" }, { "category": "cs.CV", "position_in_category": 148, "category_size": 237, "title": "Persistent Identity Preservation in Generative Image Models: A Benchmark and Evaluation System", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Persistent Identity Preservation in Generative Image Models: A Benchmark and Evaluation System: the #148 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/persistent-identity-preservation-in-generative-image-models-a-benchmark-and-eval.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/persistent-identity-preservation-in-generative-image-models-a-benchmark-and-eval.html", "arxiv_url": "https://arxiv.org/abs/2609.04151v1" }, { "category": "cs.CV", "position_in_category": 149, "category_size": 237, "title": "Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding: the #149 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-retrieval-progressive-latent-memory-evolution-for-streaming-video-underst.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-retrieval-progressive-latent-memory-evolution-for-streaming-video-underst.html", "arxiv_url": "https://arxiv.org/abs/2609.04131v1" }, { "category": "cs.CV", "position_in_category": 150, "category_size": 237, "title": "BooM-VVT: Boosting Mask-Free Video Virtual Try-On with Image-Level Pseudo Data", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "BooM-VVT: Boosting Mask-Free Video Virtual Try-On with Image-Level Pseudo Data: the #150 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/boom-vvt-boosting-mask-free-video-virtual-try-on-with-image-level-pseudo-data.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/boom-vvt-boosting-mask-free-video-virtual-try-on-with-image-level-pseudo-data.html", "arxiv_url": "https://arxiv.org/abs/2609.04120v1" }, { "category": "cs.CV", "position_in_category": 151, "category_size": 237, "title": "The Shape of Time: Video-Token Contrast for Temporal Understanding in VideoLMs", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "The Shape of Time: Video-Token Contrast for Temporal Understanding in VideoLMs: the #151 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-shape-of-time-video-token-contrast-for-temporal-understanding-in-videolms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-shape-of-time-video-token-contrast-for-temporal-understanding-in-videolms.html", "arxiv_url": "https://arxiv.org/abs/2609.04110v1" }, { "category": "cs.CV", "position_in_category": 152, "category_size": 237, "title": "Adaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Adaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis: the #152 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adaptive-vision-language-grasping-via-composable-foundation-priors-and-generaliz.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/adaptive-vision-language-grasping-via-composable-foundation-priors-and-generaliz.html", "arxiv_url": "https://arxiv.org/abs/2609.04096v1" }, { "category": "cs.CV", "position_in_category": 153, "category_size": 237, "title": "Efficient Semantic Understanding from Digital Foveation", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Efficient Semantic Understanding from Digital Foveation: the #153 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-semantic-understanding-from-digital-foveation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/efficient-semantic-understanding-from-digital-foveation.html", "arxiv_url": "https://arxiv.org/abs/2609.04088v1" }, { "category": "cs.CV", "position_in_category": 154, "category_size": 237, "title": "TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models: the #154 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tap-path-task-adaptive-structural-and-token-pruning-for-efficient-and-trustworth.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tap-path-task-adaptive-structural-and-token-pruning-for-efficient-and-trustworth.html", "arxiv_url": "https://arxiv.org/abs/2609.04071v1" }, { "category": "cs.CV", "position_in_category": 155, "category_size": 237, "title": "Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous Driving", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous Driving: the #155 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/continuous-actions-from-discrete-minds-latent-aligned-planning-for-end-to-end-au.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/continuous-actions-from-discrete-minds-latent-aligned-planning-for-end-to-end-au.html", "arxiv_url": "https://arxiv.org/abs/2609.04070v1" }, { "category": "cs.CV", "position_in_category": 156, "category_size": 237, "title": "DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation: the #156 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dsaquant-denoising-stage-aligned-quantization-aware-training-for-video-generatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dsaquant-denoising-stage-aligned-quantization-aware-training-for-video-generatio.html", "arxiv_url": "https://arxiv.org/abs/2609.04031v1" }, { "category": "cs.CV", "position_in_category": 157, "category_size": 237, "title": "Stable and Scalable Bundle Adjustment of Holistic 3D Structures", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Stable and Scalable Bundle Adjustment of Holistic 3D Structures: the #157 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stable-and-scalable-bundle-adjustment-of-holistic-3d-structures.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/stable-and-scalable-bundle-adjustment-of-holistic-3d-structures.html", "arxiv_url": "https://arxiv.org/abs/2609.04026v1" }, { "category": "cs.CL", "position_in_category": 114, "category_size": 186, "title": "Last Translation Benchmark", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Last Translation Benchmark: the #114 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/last-translation-benchmark.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/last-translation-benchmark.html", "arxiv_url": "https://arxiv.org/abs/2609.04173v1" }, { "category": "cs.CL", "position_in_category": 115, "category_size": 186, "title": "CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation: the #115 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/core-improving-compositional-reasoning-in-mllm-embedding-via-reranker-distillati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/core-improving-compositional-reasoning-in-mllm-embedding-via-reranker-distillati.html", "arxiv_url": "https://arxiv.org/abs/2609.04083v1" }, { "category": "cs.CL", "position_in_category": 116, "category_size": 186, "title": "When Models Edit Too Much: On the Fidelity of Minimal Code Edits", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "When Models Edit Too Much: On the Fidelity of Minimal Code Edits: the #116 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-models-edit-too-much-on-the-fidelity-of-minimal-code-edits.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-models-edit-too-much-on-the-fidelity-of-minimal-code-edits.html", "arxiv_url": "https://arxiv.org/abs/2609.04061v1" }, { "category": "cs.CL", "position_in_category": 117, "category_size": 186, "title": "Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation: the #117 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/translation-as-a-decision-space-a-multi-agent-perspective-on-low-resource-dialec.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/translation-as-a-decision-space-a-multi-agent-perspective-on-low-resource-dialec.html", "arxiv_url": "https://arxiv.org/abs/2609.04048v1" }, { "category": "cs.CL", "position_in_category": 118, "category_size": 186, "title": "The Dice Roll Method: A Standardized Protocol for Repeated-Query Auditing of Large Language Model Brand Recommendations", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "The Dice Roll Method: A Standardized Protocol for Repeated-Query Auditing of Large Language Model Brand Recommendations: the #118 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-dice-roll-method-a-standardized-protocol-for-repeated-query-auditing-of-larg.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-dice-roll-method-a-standardized-protocol-for-repeated-query-auditing-of-larg.html", "arxiv_url": "https://arxiv.org/abs/2609.04047v1" }, { "category": "cs.CL", "position_in_category": 119, "category_size": 186, "title": "Editable Visual Design", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Editable Visual Design: the #119 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/editable-visual-design.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/editable-visual-design.html", "arxiv_url": "https://arxiv.org/abs/2609.04034v1" }, { "category": "cs.CL", "position_in_category": 120, "category_size": 186, "title": "Instruction Duplication as an Inference-Time Control Primitive", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Instruction Duplication as an Inference-Time Control Primitive: the #120 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/instruction-duplication-as-an-inference-time-control-primitive.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/instruction-duplication-as-an-inference-time-control-primitive.html", "arxiv_url": "https://arxiv.org/abs/2609.04024v1" }, { "category": "cs.CL", "position_in_category": 121, "category_size": 186, "title": "Representational alignment yields generalizable safety in language models", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Representational alignment yields generalizable safety in language models: the #121 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/representational-alignment-yields-generalizable-safety-in-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/representational-alignment-yields-generalizable-safety-in-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.04022v1" }, { "category": "cs.CL", "position_in_category": 122, "category_size": 186, "title": "Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis: the #122 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/alignment-free-text-audiobox-for-voice-dubbing-and-full-duplex-dialogue-synthesi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/alignment-free-text-audiobox-for-voice-dubbing-and-full-duplex-dialogue-synthesi.html", "arxiv_url": "https://arxiv.org/abs/2609.03992v1" }, { "category": "cs.CL", "position_in_category": 123, "category_size": 186, "title": "IchthyoNoma: Nomenclature and Context Sensitivity of Zero-Shot Biological Vision--Language Models for Bangladeshi Freshwater Fish Recognition", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "IchthyoNoma: Nomenclature and Context Sensitivity of Zero-Shot Biological Vision--Language Models for Bangladeshi Freshwater Fish Recognition: the #123 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ichthyonoma-nomenclature-and-context-sensitivity-of-zero-shot-biological-vision-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ichthyonoma-nomenclature-and-context-sensitivity-of-zero-shot-biological-vision-.html", "arxiv_url": "https://arxiv.org/abs/2609.03985v1" }, { "category": "cs.CL", "position_in_category": 124, "category_size": 186, "title": "Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes: the #124 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/investigating-the-ability-of-large-language-models-to-analyze-recipes-for-diabet.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/investigating-the-ability-of-large-language-models-to-analyze-recipes-for-diabet.html", "arxiv_url": "https://arxiv.org/abs/2609.03967v1" }, { "category": "cs.CL", "position_in_category": 125, "category_size": 186, "title": "FiMI Banking: A Sovereign Model for Indian Retail Banking", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "FiMI Banking: A Sovereign Model for Indian Retail Banking: the #125 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fimi-banking-a-sovereign-model-for-indian-retail-banking.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fimi-banking-a-sovereign-model-for-indian-retail-banking.html", "arxiv_url": "https://arxiv.org/abs/2609.03960v1" }, { "category": "cs.CL", "position_in_category": 126, "category_size": 186, "title": "Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs: the #126 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/two-stage-reinforcement-learning-for-sound-and-adversarial-test-generation-in-co.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/two-stage-reinforcement-learning-for-sound-and-adversarial-test-generation-in-co.html", "arxiv_url": "https://arxiv.org/abs/2609.03955v1" }, { "category": "cs.AI", "position_in_category": 181, "category_size": 300, "title": "Compile by Training: Turning Natural-Language Specifications into Local Neural Functions", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Compile by Training: Turning Natural-Language Specifications into Local Neural Functions: the #181 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/compile-by-training-turning-natural-language-specifications-into-local-neural-fu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/compile-by-training-turning-natural-language-specifications-into-local-neural-fu.html", "arxiv_url": "https://arxiv.org/abs/2609.04199v1" }, { "category": "cs.AI", "position_in_category": 182, "category_size": 300, "title": "Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints: the #182 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/clean-engineering-unstable-measurement-a-preregistered-reliability-failure-of-bl.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/clean-engineering-unstable-measurement-a-preregistered-reliability-failure-of-bl.html", "arxiv_url": "https://arxiv.org/abs/2609.04198v1" }, { "category": "cs.AI", "position_in_category": 183, "category_size": 300, "title": "ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize: the #183 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/espo-error-structured-prompt-optimization-via-diagnose-diversify-and-stabilize.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/espo-error-structured-prompt-optimization-via-diagnose-diversify-and-stabilize.html", "arxiv_url": "https://arxiv.org/abs/2609.04197v1" }, { "category": "cs.AI", "position_in_category": 184, "category_size": 300, "title": "One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing: the #184 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/one-editor-many-edits-a-unified-training-free-framework-for-diverse-video-editin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/one-editor-many-edits-a-unified-training-free-framework-for-diverse-video-editin.html", "arxiv_url": "https://arxiv.org/abs/2609.04190v1" }, { "category": "cs.AI", "position_in_category": 185, "category_size": 300, "title": "Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning: the #185 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/seeing-before-synthesizing-vlm-guided-transition-event-discovery-for-weakly-supe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/seeing-before-synthesizing-vlm-guided-transition-event-discovery-for-weakly-supe.html", "arxiv_url": "https://arxiv.org/abs/2609.04183v1" }, { "category": "cs.AI", "position_in_category": 186, "category_size": 300, "title": "Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views: the #186 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/knowledge-acquisition-during-pre-training-large-language-models-learn-better-wit.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/knowledge-acquisition-during-pre-training-large-language-models-learn-better-wit.html", "arxiv_url": "https://arxiv.org/abs/2609.04180v1" }, { "category": "cs.AI", "position_in_category": 187, "category_size": 300, "title": "A Computationally Feasible Framework for Causal Probabilistic Explanation", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "A Computationally Feasible Framework for Causal Probabilistic Explanation: the #187 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-computationally-feasible-framework-for-causal-probabilistic-explanation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-computationally-feasible-framework-for-causal-probabilistic-explanation.html", "arxiv_url": "https://arxiv.org/abs/2609.04177v1" }, { "category": "cs.AI", "position_in_category": 188, "category_size": 300, "title": "Rethinking On-Policy Distillation of Large Language Models II: One Training Example", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Rethinking On-Policy Distillation of Large Language Models II: One Training Example: the #188 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rethinking-on-policy-distillation-of-large-language-models-ii-one-training-examp.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rethinking-on-policy-distillation-of-large-language-models-ii-one-training-examp.html", "arxiv_url": "https://arxiv.org/abs/2609.04172v1" }, { "category": "cs.AI", "position_in_category": 189, "category_size": 300, "title": "A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms: the #189 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-case-study-on-emergent-cheating-and-whistleblowing-in-autonomous-research-swar.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-case-study-on-emergent-cheating-and-whistleblowing-in-autonomous-research-swar.html", "arxiv_url": "https://arxiv.org/abs/2609.04170v1" }, { "category": "cs.AI", "position_in_category": 190, "category_size": 300, "title": "SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents: the #190 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/swe-gate-passing-functional-tests-is-not-enough-for-software-engineering-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/swe-gate-passing-functional-tests-is-not-enough-for-software-engineering-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.04167v1" }, { "category": "cs.AI", "position_in_category": 191, "category_size": 300, "title": "From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research: the #191 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-deceptive-outputs-to-deceptive-mechanisms-a-causal-framework-for-language-m.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-deceptive-outputs-to-deceptive-mechanisms-a-causal-framework-for-language-m.html", "arxiv_url": "https://arxiv.org/abs/2609.04166v1" }, { "category": "cs.AI", "position_in_category": 192, "category_size": 300, "title": "SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center: the #192 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sentinel-rl-offloading-topological-reasoning-from-llm-agents-in-the-security-ope.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sentinel-rl-offloading-topological-reasoning-from-llm-agents-in-the-security-ope.html", "arxiv_url": "https://arxiv.org/abs/2609.04159v1" }, { "category": "cs.AI", "position_in_category": 193, "category_size": 300, "title": "Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments: the #193 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/terminal-universe-turning-agent-trajectories-into-scalable-terminal-environments.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/terminal-universe-turning-agent-trajectories-into-scalable-terminal-environments.html", "arxiv_url": "https://arxiv.org/abs/2609.04148v1" }, { "category": "cs.AI", "position_in_category": 194, "category_size": 300, "title": "A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle: the #194 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-low-cost-open-platform-for-end-to-end-autonomous-driving-on-a-miniature-ackerm.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-low-cost-open-platform-for-end-to-end-autonomous-driving-on-a-miniature-ackerm.html", "arxiv_url": "https://arxiv.org/abs/2609.04147v1" }, { "category": "cs.AI", "position_in_category": 195, "category_size": 300, "title": "Efficient Test-Time Adaptation through Human-AI Interaction", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Efficient Test-Time Adaptation through Human-AI Interaction: the #195 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-test-time-adaptation-through-human-ai-interaction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/efficient-test-time-adaptation-through-human-ai-interaction.html", "arxiv_url": "https://arxiv.org/abs/2609.04141v1" }, { "category": "cs.AI", "position_in_category": 196, "category_size": 300, "title": "The Natural Language Interaction Protocol and Standard for AI Agents", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "The Natural Language Interaction Protocol and Standard for AI Agents: the #196 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-natural-language-interaction-protocol-and-standard-for-ai-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-natural-language-interaction-protocol-and-standard-for-ai-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.04135v1" }, { "category": "cs.AI", "position_in_category": 197, "category_size": 300, "title": "Environment Evolution for Terminal Agents", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Environment Evolution for Terminal Agents: the #197 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/environment-evolution-for-terminal-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/environment-evolution-for-terminal-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.04128v1" }, { "category": "cs.AI", "position_in_category": 198, "category_size": 300, "title": "Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable: the #198 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/epistemic-warrant-for-llm-recommendations-characterizing-the-basis-for-reliance-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/epistemic-warrant-for-llm-recommendations-characterizing-the-basis-for-reliance-.html", "arxiv_url": "https://arxiv.org/abs/2609.04127v1" }, { "category": "cs.AI", "position_in_category": 199, "category_size": 300, "title": "Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR: the #199 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sequential-beats-joint-on-the-interplay-between-on-policy-distillation-and-rlvr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sequential-beats-joint-on-the-interplay-between-on-policy-distillation-and-rlvr.html", "arxiv_url": "https://arxiv.org/abs/2609.04108v1" }, { "category": "cs.AI", "position_in_category": 200, "category_size": 300, "title": "Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM", "published": "2026-09-03", "recorded_on": "2026-09-06", "citation": "Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM: the #200 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/why-gated-deltanet-survives-4-bit-quantization-nvfp4-w4a4-for-the-recurrent-half.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/why-gated-deltanet-survives-4-bit-quantization-nvfp4-w4a4-for-the-recurrent-half.html", "arxiv_url": "https://arxiv.org/abs/2609.04098v1" }, { "category": "cs.LG", "position_in_category": 142, "category_size": 215, "title": "A Common Measure of Communication for Speech Brain-Computer Interfaces", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "A Common Measure of Communication for Speech Brain-Computer Interfaces: the #142 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-common-measure-of-communication-for-speech-brain-computer-interfaces.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-common-measure-of-communication-for-speech-brain-computer-interfaces.html", "arxiv_url": "https://arxiv.org/abs/2609.02887v1" }, { "category": "cs.LG", "position_in_category": 143, "category_size": 215, "title": "Graph Machine: Towards Better Pretraining via Edges", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Graph Machine: Towards Better Pretraining via Edges: the #143 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/graph-machine-towards-better-pretraining-via-edges.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/graph-machine-towards-better-pretraining-via-edges.html", "arxiv_url": "https://arxiv.org/abs/2609.02881v1" }, { "category": "cs.LG", "position_in_category": 144, "category_size": 215, "title": "GRADSOLVE: fast exact gradients for ODE ensembles on GPUs", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "GRADSOLVE: fast exact gradients for ODE ensembles on GPUs: the #144 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gradsolve-fast-exact-gradients-for-ode-ensembles-on-gpus.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gradsolve-fast-exact-gradients-for-ode-ensembles-on-gpus.html", "arxiv_url": "https://arxiv.org/abs/2609.02876v1" }, { "category": "cs.LG", "position_in_category": 145, "category_size": 215, "title": "Improved Gradient Descent Lower Bounds Beyond Nesterov", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Improved Gradient Descent Lower Bounds Beyond Nesterov: the #145 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/improved-gradient-descent-lower-bounds-beyond-nesterov.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/improved-gradient-descent-lower-bounds-beyond-nesterov.html", "arxiv_url": "https://arxiv.org/abs/2609.02855v1" }, { "category": "cs.LG", "position_in_category": 146, "category_size": 215, "title": "The Implications of Linguistic Illegibility for LLM Security", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "The Implications of Linguistic Illegibility for LLM Security: the #146 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-implications-of-linguistic-illegibility-for-llm-security.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-implications-of-linguistic-illegibility-for-llm-security.html", "arxiv_url": "https://arxiv.org/abs/2609.02852v1" }, { "category": "cs.LG", "position_in_category": 147, "category_size": 215, "title": "UE5M3 FP4 Block Scaling for Stable Language Model Pretraining", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "UE5M3 FP4 Block Scaling for Stable Language Model Pretraining: the #147 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ue5m3-fp4-block-scaling-for-stable-language-model-pretraining.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ue5m3-fp4-block-scaling-for-stable-language-model-pretraining.html", "arxiv_url": "https://arxiv.org/abs/2609.02846v1" }, { "category": "cs.LG", "position_in_category": 148, "category_size": 215, "title": "Learning Spectral-Like Mesh-Free Discretisations", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Learning Spectral-Like Mesh-Free Discretisations: the #148 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-spectral-like-mesh-free-discretisations.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-spectral-like-mesh-free-discretisations.html", "arxiv_url": "https://arxiv.org/abs/2609.02833v1" }, { "category": "cs.LG", "position_in_category": 149, "category_size": 215, "title": "Cliff: Learning Process Rewards from the First Mistake", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Cliff: Learning Process Rewards from the First Mistake: the #149 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cliff-learning-process-rewards-from-the-first-mistake.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cliff-learning-process-rewards-from-the-first-mistake.html", "arxiv_url": "https://arxiv.org/abs/2609.02817v1" }, { "category": "cs.LG", "position_in_category": 150, "category_size": 215, "title": "Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing: the #150 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/full-model-optimality-for-tunable-linear-generative-priors-in-compressed-sensing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/full-model-optimality-for-tunable-linear-generative-priors-in-compressed-sensing.html", "arxiv_url": "https://arxiv.org/abs/2609.02790v1" }, { "category": "cs.LG", "position_in_category": 151, "category_size": 215, "title": "CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation: the #151 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/codepoisonrag-knowledge-poisoning-attacks-on-retrieval-augmented-code-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/codepoisonrag-knowledge-poisoning-attacks-on-retrieval-augmented-code-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.02774v1" }, { "category": "cs.LG", "position_in_category": 152, "category_size": 215, "title": "Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit: the #152 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/do-tabular-foundation-models-know-physics-contamination-units-and-the-determinis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/do-tabular-foundation-models-know-physics-contamination-units-and-the-determinis.html", "arxiv_url": "https://arxiv.org/abs/2609.02766v1" }, { "category": "cs.LG", "position_in_category": 153, "category_size": 215, "title": "SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective: the #153 most recent of 215 cs.LG papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spade-spat-attack-detection-from-the-connected-vehicle-s-perspective.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/spade-spat-attack-detection-from-the-connected-vehicle-s-perspective.html", "arxiv_url": "https://arxiv.org/abs/2609.02741v1" }, { "category": "cs.CV", "position_in_category": 158, "category_size": 237, "title": "SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models: the #158 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/solarwm-open-data-and-scalable-training-for-long-horizon-video-world-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/solarwm-open-data-and-scalable-training-for-long-horizon-video-world-models.html", "arxiv_url": "https://arxiv.org/abs/2609.02886v1" }, { "category": "cs.CV", "position_in_category": 159, "category_size": 237, "title": "Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation: the #159 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/thinking-in-pictures-a-systematic-benchmark-for-reasoning-driven-image-generatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/thinking-in-pictures-a-systematic-benchmark-for-reasoning-driven-image-generatio.html", "arxiv_url": "https://arxiv.org/abs/2609.02864v1" }, { "category": "cs.CV", "position_in_category": 160, "category_size": 237, "title": "PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation: the #160 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/plantc2useg-cross-scale-consistent-pre-training-for-few-shot-unified-plant-point.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/plantc2useg-cross-scale-consistent-pre-training-for-few-shot-unified-plant-point.html", "arxiv_url": "https://arxiv.org/abs/2609.02860v1" }, { "category": "cs.CV", "position_in_category": 161, "category_size": 237, "title": "MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion: the #161 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/muybridge-mobile-human-center-of-mass-estimation-from-monocular-video-via-sparse.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/muybridge-mobile-human-center-of-mass-estimation-from-monocular-video-via-sparse.html", "arxiv_url": "https://arxiv.org/abs/2609.02854v1" }, { "category": "cs.CV", "position_in_category": 162, "category_size": 237, "title": "RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation: the #162 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/roge-novel-view-synthesis-via-end-to-end-implicit-reconstruction-and-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/roge-novel-view-synthesis-via-end-to-end-implicit-reconstruction-and-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.02847v1" }, { "category": "cs.CV", "position_in_category": 163, "category_size": 237, "title": "Efficient All-in-One Weather Restoration using Spectral Harmonization", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Efficient All-in-One Weather Restoration using Spectral Harmonization: the #163 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-all-in-one-weather-restoration-using-spectral-harmonization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/efficient-all-in-one-weather-restoration-using-spectral-harmonization.html", "arxiv_url": "https://arxiv.org/abs/2609.02839v1" }, { "category": "cs.CV", "position_in_category": 164, "category_size": 237, "title": "Benchmarking RAW and RGB Restoration in Image Signal Processors", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Benchmarking RAW and RGB Restoration in Image Signal Processors: the #164 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benchmarking-raw-and-rgb-restoration-in-image-signal-processors.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/benchmarking-raw-and-rgb-restoration-in-image-signal-processors.html", "arxiv_url": "https://arxiv.org/abs/2609.02831v1" }, { "category": "cs.CV", "position_in_category": 165, "category_size": 237, "title": "GDB-Reward: From Evaluation Metrics to Training Rewards for Graphic Design", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "GDB-Reward: From Evaluation Metrics to Training Rewards for Graphic Design: the #165 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gdb-reward-from-evaluation-metrics-to-training-rewards-for-graphic-design.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gdb-reward-from-evaluation-metrics-to-training-rewards-for-graphic-design.html", "arxiv_url": "https://arxiv.org/abs/2609.02813v1" }, { "category": "cs.CV", "position_in_category": 166, "category_size": 237, "title": "AutoCompass: Accurate Visual Localization on Public Maps by Learning from Weak Labels", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "AutoCompass: Accurate Visual Localization on Public Maps by Learning from Weak Labels: the #166 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/autocompass-accurate-visual-localization-on-public-maps-by-learning-from-weak-la.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/autocompass-accurate-visual-localization-on-public-maps-by-learning-from-weak-la.html", "arxiv_url": "https://arxiv.org/abs/2609.02798v1" }, { "category": "cs.CV", "position_in_category": 167, "category_size": 237, "title": "Video-Based Palm-Vein Authentication under Challenging Conditions", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Video-Based Palm-Vein Authentication under Challenging Conditions: the #167 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/video-based-palm-vein-authentication-under-challenging-conditions.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/video-based-palm-vein-authentication-under-challenging-conditions.html", "arxiv_url": "https://arxiv.org/abs/2609.02776v1" }, { "category": "cs.CV", "position_in_category": 168, "category_size": 237, "title": "Multi-Tool Image Editing Attribution in Facial Forgery", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Multi-Tool Image Editing Attribution in Facial Forgery: the #168 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multi-tool-image-editing-attribution-in-facial-forgery.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multi-tool-image-editing-attribution-in-facial-forgery.html", "arxiv_url": "https://arxiv.org/abs/2609.02751v1" }, { "category": "cs.CV", "position_in_category": 169, "category_size": 237, "title": "Balancing Frequencies and Pixels in Flow Matching", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Balancing Frequencies and Pixels in Flow Matching: the #169 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/balancing-frequencies-and-pixels-in-flow-matching.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/balancing-frequencies-and-pixels-in-flow-matching.html", "arxiv_url": "https://arxiv.org/abs/2609.02748v1" }, { "category": "cs.CV", "position_in_category": 170, "category_size": 237, "title": "InceptionGS: Generative Bootstrapping for Large-Scale Gaussian Splatting under Unstructured View Sampling", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "InceptionGS: Generative Bootstrapping for Large-Scale Gaussian Splatting under Unstructured View Sampling: the #170 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/inceptiongs-generative-bootstrapping-for-large-scale-gaussian-splatting-under-un.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/inceptiongs-generative-bootstrapping-for-large-scale-gaussian-splatting-under-un.html", "arxiv_url": "https://arxiv.org/abs/2609.02747v1" }, { "category": "cs.CV", "position_in_category": 171, "category_size": 237, "title": "MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception: the #171 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mv-dvrk-a-multi-viewpoint-benchmark-for-spatial-surgical-perception.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mv-dvrk-a-multi-viewpoint-benchmark-for-spatial-surgical-perception.html", "arxiv_url": "https://arxiv.org/abs/2609.02717v1" }, { "category": "cs.CV", "position_in_category": 172, "category_size": 237, "title": "A Top-Down Framework for Metric-Scale Athlete Localization from Single Broadcast Frames", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "A Top-Down Framework for Metric-Scale Athlete Localization from Single Broadcast Frames: the #172 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-top-down-framework-for-metric-scale-athlete-localization-from-single-broadcast.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-top-down-framework-for-metric-scale-athlete-localization-from-single-broadcast.html", "arxiv_url": "https://arxiv.org/abs/2609.02705v1" }, { "category": "cs.CV", "position_in_category": 173, "category_size": 237, "title": "Generating Medical Image Counterfactuals using Causal Explanations", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Generating Medical Image Counterfactuals using Causal Explanations: the #173 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/generating-medical-image-counterfactuals-using-causal-explanations.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/generating-medical-image-counterfactuals-using-causal-explanations.html", "arxiv_url": "https://arxiv.org/abs/2609.02697v1" }, { "category": "cs.CV", "position_in_category": 174, "category_size": 237, "title": "GaLe: memory-efficient Global Approximate and Local Exact features", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "GaLe: memory-efficient Global Approximate and Local Exact features: the #174 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gale-memory-efficient-global-approximate-and-local-exact-features.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gale-memory-efficient-global-approximate-and-local-exact-features.html", "arxiv_url": "https://arxiv.org/abs/2609.02689v1" }, { "category": "cs.CV", "position_in_category": 175, "category_size": 237, "title": "Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis: the #175 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/genesis-a-generative-engine-for-hierarchical-satellite-image-synthesis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/genesis-a-generative-engine-for-hierarchical-satellite-image-synthesis.html", "arxiv_url": "https://arxiv.org/abs/2609.02683v1" }, { "category": "cs.CL", "position_in_category": 127, "category_size": 186, "title": "User Feedback Provides a Unique Signal that LLMs Can not Detect", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "User Feedback Provides a Unique Signal that LLMs Can not Detect: the #127 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/user-feedback-provides-a-unique-signal-that-llms-can-not-detect.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/user-feedback-provides-a-unique-signal-that-llms-can-not-detect.html", "arxiv_url": "https://arxiv.org/abs/2609.02859v1" }, { "category": "cs.CL", "position_in_category": 128, "category_size": 186, "title": "DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation: the #128 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/discosign-discourse-aware-text-to-sign-language-gloss-translation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/discosign-discourse-aware-text-to-sign-language-gloss-translation.html", "arxiv_url": "https://arxiv.org/abs/2609.02796v1" }, { "category": "cs.CL", "position_in_category": 129, "category_size": 186, "title": "EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction: the #129 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/earlyeval-cheaper-agent-evaluation-via-early-outcome-prediction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/earlyeval-cheaper-agent-evaluation-via-early-outcome-prediction.html", "arxiv_url": "https://arxiv.org/abs/2609.02783v1" }, { "category": "cs.CL", "position_in_category": 130, "category_size": 186, "title": "ShallowStream: Index Shallow then Answer Deep for Streaming Video Understanding", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "ShallowStream: Index Shallow then Answer Deep for Streaming Video Understanding: the #130 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/shallowstream-index-shallow-then-answer-deep-for-streaming-video-understanding.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/shallowstream-index-shallow-then-answer-deep-for-streaming-video-understanding.html", "arxiv_url": "https://arxiv.org/abs/2609.02780v1" }, { "category": "cs.CL", "position_in_category": 131, "category_size": 186, "title": "HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks: the #131 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hyperstyler-low-resource-authorship-style-transfer-via-context-aware-style-navig.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hyperstyler-low-resource-authorship-style-transfer-via-context-aware-style-navig.html", "arxiv_url": "https://arxiv.org/abs/2609.02772v1" }, { "category": "cs.CL", "position_in_category": 132, "category_size": 186, "title": "Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection: the #132 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/incremental-pooled-llm-evaluation-for-cost-effective-retrieval-model-selection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/incremental-pooled-llm-evaluation-for-cost-effective-retrieval-model-selection.html", "arxiv_url": "https://arxiv.org/abs/2609.02745v1" }, { "category": "cs.CL", "position_in_category": 133, "category_size": 186, "title": "Choosing a PEFT Variant for Per-Patient Dysarthric ASR: A Single-Speaker Case Study on Two ASR Bases", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Choosing a PEFT Variant for Per-Patient Dysarthric ASR: A Single-Speaker Case Study on Two ASR Bases: the #133 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/choosing-a-peft-variant-for-per-patient-dysarthric-asr-a-single-speaker-case-stu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/choosing-a-peft-variant-for-per-patient-dysarthric-asr-a-single-speaker-case-stu.html", "arxiv_url": "https://arxiv.org/abs/2609.02735v1" }, { "category": "cs.CL", "position_in_category": 134, "category_size": 186, "title": "CORAL: An LLM-Native Harness for Production Recommender Systems", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "CORAL: An LLM-Native Harness for Production Recommender Systems: the #134 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coral-an-llm-native-harness-for-production-recommender-systems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/coral-an-llm-native-harness-for-production-recommender-systems.html", "arxiv_url": "https://arxiv.org/abs/2609.02730v1" }, { "category": "cs.CL", "position_in_category": 135, "category_size": 186, "title": "Trace as State: Reasoning Traces as Conditional States for Long-Context Transformers", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Trace as State: Reasoning Traces as Conditional States for Long-Context Transformers: the #135 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/trace-as-state-reasoning-traces-as-conditional-states-for-long-context-transform.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/trace-as-state-reasoning-traces-as-conditional-states-for-long-context-transform.html", "arxiv_url": "https://arxiv.org/abs/2609.02702v1" }, { "category": "cs.CL", "position_in_category": 136, "category_size": 186, "title": "oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions: the #136 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ohc-orthogonal-hyper-connections-on-so-4-via-quaternions.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ohc-orthogonal-hyper-connections-on-so-4-via-quaternions.html", "arxiv_url": "https://arxiv.org/abs/2609.02672v1" }, { "category": "cs.CL", "position_in_category": 137, "category_size": 186, "title": "WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities: the #137 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/winoqueer-nl-assessing-bias-in-dutch-language-models-toward-lgbtq-identities.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/winoqueer-nl-assessing-bias-in-dutch-language-models-toward-lgbtq-identities.html", "arxiv_url": "https://arxiv.org/abs/2609.02651v1" }, { "category": "cs.AI", "position_in_category": 201, "category_size": 300, "title": "Discriminative World Models for Web Agents", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Discriminative World Models for Web Agents: the #201 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/discriminative-world-models-for-web-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/discriminative-world-models-for-web-agents.html", "arxiv_url": "https://arxiv.org/abs/2609.02885v1" }, { "category": "cs.AI", "position_in_category": 202, "category_size": 300, "title": "Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework: the #202 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-trustworthy-autonomous-robots-an-explainable-ai-based-decision-framework.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/towards-trustworthy-autonomous-robots-an-explainable-ai-based-decision-framework.html", "arxiv_url": "https://arxiv.org/abs/2609.02861v1" }, { "category": "cs.AI", "position_in_category": 203, "category_size": 300, "title": "Post-Training Language Models for Gold-Medal Performance in Coding Competitions", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Post-Training Language Models for Gold-Medal Performance in Coding Competitions: the #203 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/post-training-language-models-for-gold-medal-performance-in-coding-competitions.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/post-training-language-models-for-gold-medal-performance-in-coding-competitions.html", "arxiv_url": "https://arxiv.org/abs/2609.02849v1" }, { "category": "cs.AI", "position_in_category": 204, "category_size": 300, "title": "AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application: the #204 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ai-contextual-measurement-for-recovering-individual-and-group-level-effects-vali.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ai-contextual-measurement-for-recovering-individual-and-group-level-effects-vali.html", "arxiv_url": "https://arxiv.org/abs/2609.02821v1" }, { "category": "cs.AI", "position_in_category": 205, "category_size": 300, "title": "Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis: the #205 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/large-language-models-llms-for-telecom-root-cause-analysis-rca-a-structured-reas.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/large-language-models-llms-for-telecom-root-cause-analysis-rca-a-structured-reas.html", "arxiv_url": "https://arxiv.org/abs/2609.02805v1" }, { "category": "cs.AI", "position_in_category": 206, "category_size": 300, "title": "frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study: the #206 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/frb100-40-after-two-decades-an-optimality-certificate-and-a-preregistered-search.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/frb100-40-after-two-decades-an-optimality-certificate-and-a-preregistered-search.html", "arxiv_url": "https://arxiv.org/abs/2609.02804v1" }, { "category": "cs.AI", "position_in_category": 207, "category_size": 300, "title": "Dutch Books for Language Models", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Dutch Books for Language Models: the #207 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dutch-books-for-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dutch-books-for-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.02797v1" }, { "category": "cs.AI", "position_in_category": 208, "category_size": 300, "title": "SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment: the #208 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/safeevolve-harness-policy-co-evolution-from-agent-experience-for-safety-alignmen.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/safeevolve-harness-policy-co-evolution-from-agent-experience-for-safety-alignmen.html", "arxiv_url": "https://arxiv.org/abs/2609.02786v1" }, { "category": "cs.AI", "position_in_category": 209, "category_size": 300, "title": "From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution: the #209 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-reweighting-to-rewriting-unlocking-the-intervention-effects-of-influential-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-reweighting-to-rewriting-unlocking-the-intervention-effects-of-influential-.html", "arxiv_url": "https://arxiv.org/abs/2609.02771v1" }, { "category": "cs.AI", "position_in_category": 210, "category_size": 300, "title": "Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents: the #210 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/measurement-driven-sub-network-selection-for-on-premise-retrieval-augmented-fact.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/measurement-driven-sub-network-selection-for-on-premise-retrieval-augmented-fact.html", "arxiv_url": "https://arxiv.org/abs/2609.02760v1" }, { "category": "cs.AI", "position_in_category": 211, "category_size": 300, "title": "Untangling the Mechanisms of Misleading Context in Medical Question Answering", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Untangling the Mechanisms of Misleading Context in Medical Question Answering: the #211 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/untangling-the-mechanisms-of-misleading-context-in-medical-question-answering.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/untangling-the-mechanisms-of-misleading-context-in-medical-question-answering.html", "arxiv_url": "https://arxiv.org/abs/2609.02754v1" }, { "category": "cs.AI", "position_in_category": 212, "category_size": 300, "title": "Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems: the #212 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bilevel-coordinated-reflection-a-game-theoretic-approach-to-multi-agent-llm-syst.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bilevel-coordinated-reflection-a-game-theoretic-approach-to-multi-agent-llm-syst.html", "arxiv_url": "https://arxiv.org/abs/2609.02750v1" }, { "category": "cs.AI", "position_in_category": 213, "category_size": 300, "title": "Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills: the #213 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/repo-to-skill-distilling-github-repositories-into-ai4ai-skills.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/repo-to-skill-distilling-github-repositories-into-ai4ai-skills.html", "arxiv_url": "https://arxiv.org/abs/2609.02749v1" }, { "category": "cs.AI", "position_in_category": 214, "category_size": 300, "title": "HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design: the #214 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hipoly-a-hierarchical-polymer-native-ai-framework-for-property-prediction-and-ge.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hipoly-a-hierarchical-polymer-native-ai-framework-for-property-prediction-and-ge.html", "arxiv_url": "https://arxiv.org/abs/2609.02746v1" }, { "category": "cs.AI", "position_in_category": 215, "category_size": 300, "title": "Language Models Can Control Their Own Attention", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Language Models Can Control Their Own Attention: the #215 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/language-models-can-control-their-own-attention.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/language-models-can-control-their-own-attention.html", "arxiv_url": "https://arxiv.org/abs/2609.02737v1" }, { "category": "cs.AI", "position_in_category": 216, "category_size": 300, "title": "RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models: the #216 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rvsd-retrieval-vision-sparse-decoding-for-mitigating-visual-hallucinations-in-la.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rvsd-retrieval-vision-sparse-decoding-for-mitigating-visual-hallucinations-in-la.html", "arxiv_url": "https://arxiv.org/abs/2609.02731v1" }, { "category": "cs.AI", "position_in_category": 217, "category_size": 300, "title": "Door-in-the-Face Requests and Refusal Behaviour in Large Language Models", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Door-in-the-Face Requests and Refusal Behaviour in Large Language Models: the #217 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/door-in-the-face-requests-and-refusal-behaviour-in-large-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/door-in-the-face-requests-and-refusal-behaviour-in-large-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.02707v1" }, { "category": "cs.AI", "position_in_category": 218, "category_size": 300, "title": "DKL: Decoupled Knowledge Learning for Instruction-Tuned Language Models", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "DKL: Decoupled Knowledge Learning for Instruction-Tuned Language Models: the #218 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dkl-decoupled-knowledge-learning-for-instruction-tuned-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dkl-decoupled-knowledge-learning-for-instruction-tuned-language-models.html", "arxiv_url": "https://arxiv.org/abs/2609.02685v1" }, { "category": "cs.AI", "position_in_category": 219, "category_size": 300, "title": "From Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMs", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "From Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMs: the #219 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-tokens-to-semantics-leveraging-complementary-signals-for-hallucination-dete.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-tokens-to-semantics-leveraging-complementary-signals-for-hallucination-dete.html", "arxiv_url": "https://arxiv.org/abs/2609.02679v1" }, { "category": "cs.AI", "position_in_category": 220, "category_size": 300, "title": "Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting", "published": "2026-09-02", "recorded_on": "2026-09-03", "citation": "Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting: the #220 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/loom-weaving-diagnostic-strands-into-free-text-consensus-via-embedding-space-rew.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/loom-weaving-diagnostic-strands-into-free-text-consensus-via-embedding-space-rew.html", "arxiv_url": "https://arxiv.org/abs/2609.02649v1" }, { "category": "cs.LG", "position_in_category": 154, "category_size": 215, "title": "Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation: the #154 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-scores-understanding-llm-as-a-judge-mechanisms-in-summarization-evaluatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-scores-understanding-llm-as-a-judge-mechanisms-in-summarization-evaluatio.html", "arxiv_url": "https://arxiv.org/abs/2609.01604v1" }, { "category": "cs.LG", "position_in_category": 155, "category_size": 215, "title": "Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation: the #155 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/facet-0-a-robotic-foundation-model-for-contact-rich-precise-manipulation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/facet-0-a-robotic-foundation-model-for-contact-rich-precise-manipulation.html", "arxiv_url": "https://arxiv.org/abs/2609.01596v1" }, { "category": "cs.LG", "position_in_category": 156, "category_size": 215, "title": "The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally: the #156 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-structure-of-quantization-damage-in-llms-why-the-next-bit-should-be-spent-gl.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-structure-of-quantization-damage-in-llms-why-the-next-bit-should-be-spent-gl.html", "arxiv_url": "https://arxiv.org/abs/2609.01587v1" }, { "category": "cs.LG", "position_in_category": 157, "category_size": 215, "title": "Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks: the #157 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gradient-update-mismatch-rethinking-conflict-free-training-of-physics-informed-n.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gradient-update-mismatch-rethinking-conflict-free-training-of-physics-informed-n.html", "arxiv_url": "https://arxiv.org/abs/2609.01558v1" }, { "category": "cs.LG", "position_in_category": 158, "category_size": 215, "title": "NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games: the #158 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nashdreamer-model-based-reinforcement-learning-for-zero-sum-imperfect-informatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nashdreamer-model-based-reinforcement-learning-for-zero-sum-imperfect-informatio.html", "arxiv_url": "https://arxiv.org/abs/2609.01549v1" }, { "category": "cs.LG", "position_in_category": 159, "category_size": 215, "title": "Variable Selection for Feature-Based Newsvendor", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Variable Selection for Feature-Based Newsvendor: the #159 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/variable-selection-for-feature-based-newsvendor.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/variable-selection-for-feature-based-newsvendor.html", "arxiv_url": "https://arxiv.org/abs/2609.01544v1" }, { "category": "cs.LG", "position_in_category": 160, "category_size": 215, "title": "Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis: the #160 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quantum-sparse-autoencoders-for-q-matrix-estimation-in-cognitive-diagnosis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quantum-sparse-autoencoders-for-q-matrix-estimation-in-cognitive-diagnosis.html", "arxiv_url": "https://arxiv.org/abs/2609.01537v1" }, { "category": "cs.LG", "position_in_category": 161, "category_size": 215, "title": "Sierpiński--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Sierpiński--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation: the #161 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sierpi-ski-knopp-wasserstein-distance-for-persistence-diagrams-and-applications-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sierpi-ski-knopp-wasserstein-distance-for-persistence-diagrams-and-applications-.html", "arxiv_url": "https://arxiv.org/abs/2609.01528v1" }, { "category": "cs.LG", "position_in_category": 162, "category_size": 215, "title": "Optimizing Byzantine Node Placement in Decentralized Federated Learning", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Optimizing Byzantine Node Placement in Decentralized Federated Learning: the #162 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/optimizing-byzantine-node-placement-in-decentralized-federated-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/optimizing-byzantine-node-placement-in-decentralized-federated-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.01495v1" }, { "category": "cs.LG", "position_in_category": 163, "category_size": 215, "title": "Rethinking Learnability in Offline Data-driven Optimization", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Rethinking Learnability in Offline Data-driven Optimization: the #163 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rethinking-learnability-in-offline-data-driven-optimization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rethinking-learnability-in-offline-data-driven-optimization.html", "arxiv_url": "https://arxiv.org/abs/2609.01493v1" }, { "category": "cs.LG", "position_in_category": 164, "category_size": 215, "title": "Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds: the #164 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-imitation-learning-preserve-temporal-robustness-in-dexterous-manipulation-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/does-imitation-learning-preserve-temporal-robustness-in-dexterous-manipulation-a.html", "arxiv_url": "https://arxiv.org/abs/2609.01453v1" }, { "category": "cs.LG", "position_in_category": 165, "category_size": 215, "title": "Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning: the #165 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diffusion-as-a-training-curriculum-for-timestep-free-iterative-reasoning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/diffusion-as-a-training-curriculum-for-timestep-free-iterative-reasoning.html", "arxiv_url": "https://arxiv.org/abs/2609.01449v1" }, { "category": "cs.LG", "position_in_category": 166, "category_size": 215, "title": "Edge-Girth as a Structural Edge Feature for Graph Neural Networks", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Edge-Girth as a Structural Edge Feature for Graph Neural Networks: the #166 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/edge-girth-as-a-structural-edge-feature-for-graph-neural-networks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/edge-girth-as-a-structural-edge-feature-for-graph-neural-networks.html", "arxiv_url": "https://arxiv.org/abs/2609.01441v1" }, { "category": "cs.LG", "position_in_category": 167, "category_size": 215, "title": "Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search: the #167 most recent of 215 cs.LG papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficiently-estimating-optimal-hyperparameter-scaling-laws-through-power-law-ent.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/efficiently-estimating-optimal-hyperparameter-scaling-laws-through-power-law-ent.html", "arxiv_url": "https://arxiv.org/abs/2609.01431v1" }, { "category": "cs.CV", "position_in_category": 176, "category_size": 237, "title": "Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System: the #176 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/uncovering-understanding-generation-synergy-in-native-unified-multimodal-models-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/uncovering-understanding-generation-synergy-in-native-unified-multimodal-models-.html", "arxiv_url": "https://arxiv.org/abs/2609.01607v1" }, { "category": "cs.CV", "position_in_category": 177, "category_size": 237, "title": "UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture: the #177 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ui-visa-u-net-initialized-vascular-image-segmentation-architecture.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ui-visa-u-net-initialized-vascular-image-segmentation-architecture.html", "arxiv_url": "https://arxiv.org/abs/2609.01598v1" }, { "category": "cs.CV", "position_in_category": 178, "category_size": 237, "title": "A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios: the #178 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-benchmark-for-vehicle-attribute-classification-in-cross-domain-surveillance-sc.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-benchmark-for-vehicle-attribute-classification-in-cross-domain-surveillance-sc.html", "arxiv_url": "https://arxiv.org/abs/2609.01584v1" }, { "category": "cs.CV", "position_in_category": 179, "category_size": 237, "title": "SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image Generation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image Generation: the #179 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spatialguard-harness-guided-verifiable-spatial-reasoning-for-text-to-image-gener.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/spatialguard-harness-guided-verifiable-spatial-reasoning-for-text-to-image-gener.html", "arxiv_url": "https://arxiv.org/abs/2609.01582v1" }, { "category": "cs.CV", "position_in_category": 180, "category_size": 237, "title": "What, Where, and How: Probing Spatiotemporal Representations in Video Foundation Models", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "What, Where, and How: Probing Spatiotemporal Representations in Video Foundation Models: the #180 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/what-where-and-how-probing-spatiotemporal-representations-in-video-foundation-mo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/what-where-and-how-probing-spatiotemporal-representations-in-video-foundation-mo.html", "arxiv_url": "https://arxiv.org/abs/2609.01551v1" }, { "category": "cs.CV", "position_in_category": 181, "category_size": 237, "title": "Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison: the #181 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/revisiting-cross-view-completion-self-supervised-pre-training-via-reconstruction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/revisiting-cross-view-completion-self-supervised-pre-training-via-reconstruction.html", "arxiv_url": "https://arxiv.org/abs/2609.01530v1" }, { "category": "cs.CV", "position_in_category": 182, "category_size": 237, "title": "DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting: the #182 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dualdiff3d-dual-structure-appearance-diffusion-priors-for-reliability-enhanced-3.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dualdiff3d-dual-structure-appearance-diffusion-priors-for-reliability-enhanced-3.html", "arxiv_url": "https://arxiv.org/abs/2609.01516v1" }, { "category": "cs.CV", "position_in_category": 183, "category_size": 237, "title": "A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data: the #183 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-sensor-adaptive-incremental-learning-framework-for-artifact-detection-in-satel.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-sensor-adaptive-incremental-learning-framework-for-artifact-detection-in-satel.html", "arxiv_url": "https://arxiv.org/abs/2609.01514v1" }, { "category": "cs.CV", "position_in_category": 184, "category_size": 237, "title": "Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation: the #184 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benchmarking-spatial-spectral-and-self-supervised-cues-for-face-forgery-detectio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/benchmarking-spatial-spectral-and-self-supervised-cues-for-face-forgery-detectio.html", "arxiv_url": "https://arxiv.org/abs/2609.01511v1" }, { "category": "cs.CV", "position_in_category": 185, "category_size": 237, "title": "CameraEditor: Camera-Controlled Image Editing via Video-Prior Sequential Modeling", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "CameraEditor: Camera-Controlled Image Editing via Video-Prior Sequential Modeling: the #185 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cameraeditor-camera-controlled-image-editing-via-video-prior-sequential-modeling.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cameraeditor-camera-controlled-image-editing-via-video-prior-sequential-modeling.html", "arxiv_url": "https://arxiv.org/abs/2609.01479v1" }, { "category": "cs.CV", "position_in_category": 186, "category_size": 237, "title": "RadMatch: Auditable Radiology Report Evaluation via Finding-Level Matching", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "RadMatch: Auditable Radiology Report Evaluation via Finding-Level Matching: the #186 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/radmatch-auditable-radiology-report-evaluation-via-finding-level-matching.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/radmatch-auditable-radiology-report-evaluation-via-finding-level-matching.html", "arxiv_url": "https://arxiv.org/abs/2609.01470v1" }, { "category": "cs.CV", "position_in_category": 187, "category_size": 237, "title": "Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept Erasure", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept Erasure: the #187 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gaussian-core-lora-distribution-aware-dynamic-adaptation-for-broad-concept-erasu.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gaussian-core-lora-distribution-aware-dynamic-adaptation-for-broad-concept-erasu.html", "arxiv_url": "https://arxiv.org/abs/2609.01433v1" }, { "category": "cs.CV", "position_in_category": 188, "category_size": 237, "title": "Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications: the #188 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pix2rep-v2-data-efficient-representation-learning-for-dense-medical-imaging-appl.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/pix2rep-v2-data-efficient-representation-learning-for-dense-medical-imaging-appl.html", "arxiv_url": "https://arxiv.org/abs/2609.01427v1" }, { "category": "cs.CV", "position_in_category": 189, "category_size": 237, "title": "Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading: the #189 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semantic-guided-multimodal-preprocessing-for-vision-transformer-based-clear-cell.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/semantic-guided-multimodal-preprocessing-for-vision-transformer-based-clear-cell.html", "arxiv_url": "https://arxiv.org/abs/2609.01426v1" }, { "category": "cs.CV", "position_in_category": 190, "category_size": 237, "title": "MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition: the #190 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/megastyle-scaling-image-style-space-through-hierarchical-style-definition.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/megastyle-scaling-image-style-space-through-hierarchical-style-definition.html", "arxiv_url": "https://arxiv.org/abs/2609.01423v1" }, { "category": "cs.CV", "position_in_category": 191, "category_size": 237, "title": "EdiTikZ: Scientific Figure Editing from Revision Trajectories", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "EdiTikZ: Scientific Figure Editing from Revision Trajectories: the #191 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/editikz-scientific-figure-editing-from-revision-trajectories.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/editikz-scientific-figure-editing-from-revision-trajectories.html", "arxiv_url": "https://arxiv.org/abs/2609.01409v1" }, { "category": "cs.CV", "position_in_category": 192, "category_size": 237, "title": "Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations: the #192 most recent of 237 cs.CV papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/neuro-symbolic-geometric-abstraction-neusoga-from-observations-to-symbolic-mathe.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/neuro-symbolic-geometric-abstraction-neusoga-from-observations-to-symbolic-mathe.html", "arxiv_url": "https://arxiv.org/abs/2609.01408v1" }, { "category": "cs.CL", "position_in_category": 138, "category_size": 186, "title": "StudentSim: Training LLM-based Student Simulators", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "StudentSim: Training LLM-based Student Simulators: the #138 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/studentsim-training-llm-based-student-simulators.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/studentsim-training-llm-based-student-simulators.html", "arxiv_url": "https://arxiv.org/abs/2609.01591v1" }, { "category": "cs.CL", "position_in_category": 139, "category_size": 186, "title": "Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics: the #139 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/closing-cost-quality-gap-in-document-vlms-difficulty-aware-data-curation-and-qua.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/closing-cost-quality-gap-in-document-vlms-difficulty-aware-data-curation-and-qua.html", "arxiv_url": "https://arxiv.org/abs/2609.01575v1" }, { "category": "cs.CL", "position_in_category": 140, "category_size": 186, "title": "From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix: the #140 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-production-traffic-to-post-training-building-a-self-hosted-llm-that-covers-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-production-traffic-to-post-training-building-a-self-hosted-llm-that-covers-.html", "arxiv_url": "https://arxiv.org/abs/2609.01572v1" }, { "category": "cs.CL", "position_in_category": 141, "category_size": 186, "title": "A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains: the #141 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-systematic-approach-to-constructing-a-chance-and-risk-matrix-for-semiconductor.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-systematic-approach-to-constructing-a-chance-and-risk-matrix-for-semiconductor.html", "arxiv_url": "https://arxiv.org/abs/2609.01563v1" }, { "category": "cs.CL", "position_in_category": 142, "category_size": 186, "title": "SDARE-Bench: Evaluating Large Language Models on Conversational Stigma Detection and Response in Dyadic and Group Dialogue", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "SDARE-Bench: Evaluating Large Language Models on Conversational Stigma Detection and Response in Dyadic and Group Dialogue: the #142 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sdare-bench-evaluating-large-language-models-on-conversational-stigma-detection-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sdare-bench-evaluating-large-language-models-on-conversational-stigma-detection-.html", "arxiv_url": "https://arxiv.org/abs/2609.01548v1" }, { "category": "cs.CL", "position_in_category": 143, "category_size": 186, "title": "Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall: the #143 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/knowledge-distillation-during-mid-training-favors-reasoning-over-factual-recall.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/knowledge-distillation-during-mid-training-favors-reasoning-over-factual-recall.html", "arxiv_url": "https://arxiv.org/abs/2609.01532v1" }, { "category": "cs.CL", "position_in_category": 144, "category_size": 186, "title": "GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions: the #144 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/glossogen-emergent-language-in-complex-multi-agent-llm-interactions.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/glossogen-emergent-language-in-complex-multi-agent-llm-interactions.html", "arxiv_url": "https://arxiv.org/abs/2609.01491v1" }, { "category": "cs.CL", "position_in_category": 145, "category_size": 186, "title": "AutoConcept: Training-Free Concept-Guided Reranking for Metadata-Available Composed Image Retrieval", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "AutoConcept: Training-Free Concept-Guided Reranking for Metadata-Available Composed Image Retrieval: the #145 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/autoconcept-training-free-concept-guided-reranking-for-metadata-available-compos.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/autoconcept-training-free-concept-guided-reranking-for-metadata-available-compos.html", "arxiv_url": "https://arxiv.org/abs/2609.01456v1" }, { "category": "cs.CL", "position_in_category": 146, "category_size": 186, "title": "HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?: the #146 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/harnessdev-can-llms-create-and-evolve-their-own-agent-harness.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/harnessdev-can-llms-create-and-evolve-their-own-agent-harness.html", "arxiv_url": "https://arxiv.org/abs/2609.01437v1" }, { "category": "cs.CL", "position_in_category": 147, "category_size": 186, "title": "Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation: the #147 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/citing-less-critically-llms-reshape-the-rhetoric-and-reach-of-scientific-citatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/citing-less-critically-llms-reshape-the-rhetoric-and-reach-of-scientific-citatio.html", "arxiv_url": "https://arxiv.org/abs/2609.01432v1" }, { "category": "cs.AI", "position_in_category": 221, "category_size": 300, "title": "Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation: the #221 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-swe-agent-benchmarking-via-trajectory-aware-evaluation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/efficient-swe-agent-benchmarking-via-trajectory-aware-evaluation.html", "arxiv_url": "https://arxiv.org/abs/2609.01603v1" }, { "category": "cs.AI", "position_in_category": 222, "category_size": 300, "title": "Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation: the #222 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adaptive-critical-token-aware-retrieval-for-repository-level-code-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/adaptive-critical-token-aware-retrieval-for-repository-level-code-generation.html", "arxiv_url": "https://arxiv.org/abs/2609.01601v1" }, { "category": "cs.AI", "position_in_category": 223, "category_size": 300, "title": "CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?: the #223 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cordisbench-can-language-models-reason-about-component-lifecycles-in-dynamic-age.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cordisbench-can-language-models-reason-about-component-lifecycles-in-dynamic-age.html", "arxiv_url": "https://arxiv.org/abs/2609.01600v1" }, { "category": "cs.AI", "position_in_category": 224, "category_size": 300, "title": "The Rise of Verbal Reinforcement Learning", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "The Rise of Verbal Reinforcement Learning: the #224 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-rise-of-verbal-reinforcement-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-rise-of-verbal-reinforcement-learning.html", "arxiv_url": "https://arxiv.org/abs/2609.01597v1" }, { "category": "cs.AI", "position_in_category": 225, "category_size": 300, "title": "Mechanism Design for Alignment and Control", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Mechanism Design for Alignment and Control: the #225 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mechanism-design-for-alignment-and-control.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mechanism-design-for-alignment-and-control.html", "arxiv_url": "https://arxiv.org/abs/2609.01595v1" }, { "category": "cs.AI", "position_in_category": 226, "category_size": 300, "title": "Designing Proactive Thought Partners for Writing", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Designing Proactive Thought Partners for Writing: the #226 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/designing-proactive-thought-partners-for-writing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/designing-proactive-thought-partners-for-writing.html", "arxiv_url": "https://arxiv.org/abs/2609.01588v1" }, { "category": "cs.AI", "position_in_category": 227, "category_size": 300, "title": "Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs: the #227 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scaling-near-optimal-sft-rl-annotation-budget-allocation-from-small-to-large-llm.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/scaling-near-optimal-sft-rl-annotation-budget-allocation-from-small-to-large-llm.html", "arxiv_url": "https://arxiv.org/abs/2609.01573v1" }, { "category": "cs.AI", "position_in_category": 228, "category_size": 300, "title": "Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers: the #228 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/selective-agent-guidance-via-entropy-learning-autonomous-policies-from-imperfect.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/selective-agent-guidance-via-entropy-learning-autonomous-policies-from-imperfect.html", "arxiv_url": "https://arxiv.org/abs/2609.01567v1" }, { "category": "cs.AI", "position_in_category": 229, "category_size": 300, "title": "From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification: the #229 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-confusion-to-clarity-confusion-aware-retrieval-and-knowledge-injection-for-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-confusion-to-clarity-confusion-aware-retrieval-and-knowledge-injection-for-.html", "arxiv_url": "https://arxiv.org/abs/2609.01564v1" }, { "category": "cs.AI", "position_in_category": 230, "category_size": 300, "title": "H3-World: Turning Language Understanding into World Control", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "H3-World: Turning Language Understanding into World Control: the #230 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/h3-world-turning-language-understanding-into-world-control.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/h3-world-turning-language-understanding-into-world-control.html", "arxiv_url": "https://arxiv.org/abs/2609.01560v1" }, { "category": "cs.AI", "position_in_category": 231, "category_size": 300, "title": "Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories: the #231 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/retrieved-but-not-ranked-surface-form-bias-in-structural-retrieval-from-mathemat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/retrieved-but-not-ranked-surface-form-bias-in-structural-retrieval-from-mathemat.html", "arxiv_url": "https://arxiv.org/abs/2609.01556v1" }, { "category": "cs.AI", "position_in_category": 232, "category_size": 300, "title": "BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net: the #232 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bs-take-the-hint-interactive-multitracer-pet-ct-lesion-segmentation-with-a-scrib.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bs-take-the-hint-interactive-multitracer-pet-ct-lesion-segmentation-with-a-scrib.html", "arxiv_url": "https://arxiv.org/abs/2609.01554v1" }, { "category": "cs.AI", "position_in_category": 233, "category_size": 300, "title": "Can LLMs Discover Scientific Laws in Real and Parallel Worlds?", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Can LLMs Discover Scientific Laws in Real and Parallel Worlds?: the #233 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-llms-discover-scientific-laws-in-real-and-parallel-worlds.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-llms-discover-scientific-laws-in-real-and-parallel-worlds.html", "arxiv_url": "https://arxiv.org/abs/2609.01552v1" }, { "category": "cs.AI", "position_in_category": 234, "category_size": 300, "title": "A Mathematical Theory of Reusable Neural Bases for Network Compression", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "A Mathematical Theory of Reusable Neural Bases for Network Compression: the #234 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-mathematical-theory-of-reusable-neural-bases-for-network-compression.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-mathematical-theory-of-reusable-neural-bases-for-network-compression.html", "arxiv_url": "https://arxiv.org/abs/2609.01550v1" }, { "category": "cs.AI", "position_in_category": 235, "category_size": 300, "title": "Can LLMs Design Video Coding Tools? A Case Study on Planar Mode", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Can LLMs Design Video Coding Tools? A Case Study on Planar Mode: the #235 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-llms-design-video-coding-tools-a-case-study-on-planar-mode.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/can-llms-design-video-coding-tools-a-case-study-on-planar-mode.html", "arxiv_url": "https://arxiv.org/abs/2609.01535v1" }, { "category": "cs.AI", "position_in_category": 236, "category_size": 300, "title": "EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation: the #236 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evoscm-scientific-belief-revision-through-causal-model-evolution-and-experimenta.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evoscm-scientific-belief-revision-through-causal-model-evolution-and-experimenta.html", "arxiv_url": "https://arxiv.org/abs/2609.01526v1" }, { "category": "cs.AI", "position_in_category": 237, "category_size": 300, "title": "Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data: the #237 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/relational-core-graph-analytics-querying-graphs-at-sql-scale-and-why-the-node-ed.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/relational-core-graph-analytics-querying-graphs-at-sql-scale-and-why-the-node-ed.html", "arxiv_url": "https://arxiv.org/abs/2609.01525v1" }, { "category": "cs.AI", "position_in_category": 238, "category_size": 300, "title": "When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation: the #238 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-guardrails-look-effective-construct-validity-failures-in-llm-agent-commerce.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-guardrails-look-effective-construct-validity-failures-in-llm-agent-commerce.html", "arxiv_url": "https://arxiv.org/abs/2609.01519v1" }, { "category": "cs.AI", "position_in_category": 239, "category_size": 300, "title": "TempCloze: Can Video-LLMs Identify the Missing Middle?", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "TempCloze: Can Video-LLMs Identify the Missing Middle?: the #239 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tempcloze-can-video-llms-identify-the-missing-middle.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tempcloze-can-video-llms-identify-the-missing-middle.html", "arxiv_url": "https://arxiv.org/abs/2609.01515v1" }, { "category": "cs.AI", "position_in_category": 240, "category_size": 300, "title": "LatentPress: Context Compression Beyond Text and Vision", "published": "2026-09-01", "recorded_on": "2026-09-02", "citation": "LatentPress: Context Compression Beyond Text and Vision: the #240 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/latentpress-context-compression-beyond-text-and-vision.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/latentpress-context-compression-beyond-text-and-vision.html", "arxiv_url": "https://arxiv.org/abs/2609.01507v1" }, { "category": "cs.LG", "position_in_category": 168, "category_size": 215, "title": "Constant Individual Regret in General Games", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Constant Individual Regret in General Games: the #168 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/constant-individual-regret-in-general-games.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/constant-individual-regret-in-general-games.html", "arxiv_url": "https://arxiv.org/abs/2608.31166v1" }, { "category": "cs.LG", "position_in_category": 169, "category_size": 215, "title": "Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations: the #169 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sharp-approximation-rates-for-neural-networks-with-affine-latent-parameterizatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sharp-approximation-rates-for-neural-networks-with-affine-latent-parameterizatio.html", "arxiv_url": "https://arxiv.org/abs/2608.31157v1" }, { "category": "cs.LG", "position_in_category": 170, "category_size": 215, "title": "Implementing neural network mixed-effects models in Template Model Builder (TMB)", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Implementing neural network mixed-effects models in Template Model Builder (TMB): the #170 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/implementing-neural-network-mixed-effects-models-in-template-model-builder-tmb.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/implementing-neural-network-mixed-effects-models-in-template-model-builder-tmb.html", "arxiv_url": "https://arxiv.org/abs/2608.31133v1" }, { "category": "cs.LG", "position_in_category": 171, "category_size": 215, "title": "On the Complexity of the Compatibility Problem for Succinctly Encoded Conditional Distributions", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "On the Complexity of the Compatibility Problem for Succinctly Encoded Conditional Distributions: the #171 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-the-complexity-of-the-compatibility-problem-for-succinctly-encoded-conditiona.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-the-complexity-of-the-compatibility-problem-for-succinctly-encoded-conditiona.html", "arxiv_url": "https://arxiv.org/abs/2608.31120v1" }, { "category": "cs.LG", "position_in_category": 172, "category_size": 215, "title": "\"Train classical, deploy quantum\" requires rethinking generalization", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "\"Train classical, deploy quantum\" requires rethinking generalization: the #172 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/train-classical-deploy-quantum-requires-rethinking-generalization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/train-classical-deploy-quantum-requires-rethinking-generalization.html", "arxiv_url": "https://arxiv.org/abs/2608.31117v1" }, { "category": "cs.LG", "position_in_category": 173, "category_size": 215, "title": "Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions: the #173 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stress-testing-efficient-responsible-ai-evaluation-when-compute-savings-change-b.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/stress-testing-efficient-responsible-ai-evaluation-when-compute-savings-change-b.html", "arxiv_url": "https://arxiv.org/abs/2608.31108v1" }, { "category": "cs.LG", "position_in_category": 174, "category_size": 215, "title": "One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning: the #174 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/one-adapter-many-tasks-task-conditioned-feature-transformations-for-continual-le.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/one-adapter-many-tasks-task-conditioned-feature-transformations-for-continual-le.html", "arxiv_url": "https://arxiv.org/abs/2608.31096v1" }, { "category": "cs.LG", "position_in_category": 175, "category_size": 215, "title": "Minimax bounds for watermarked and masked recursive discrete distribution estimation", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Minimax bounds for watermarked and masked recursive discrete distribution estimation: the #175 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/minimax-bounds-for-watermarked-and-masked-recursive-discrete-distribution-estima.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/minimax-bounds-for-watermarked-and-masked-recursive-discrete-distribution-estima.html", "arxiv_url": "https://arxiv.org/abs/2608.31091v1" }, { "category": "cs.LG", "position_in_category": 176, "category_size": 215, "title": "Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference Optimization", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference Optimization: the #176 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sycophantic-agreement-transfers-with-neutral-data-via-contrastive-preference-opt.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sycophantic-agreement-transfers-with-neutral-data-via-contrastive-preference-opt.html", "arxiv_url": "https://arxiv.org/abs/2608.31079v1" }, { "category": "cs.LG", "position_in_category": 177, "category_size": 215, "title": "A Model with No Head and Many Thoughts", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "A Model with No Head and Many Thoughts: the #177 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-model-with-no-head-and-many-thoughts.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-model-with-no-head-and-many-thoughts.html", "arxiv_url": "https://arxiv.org/abs/2608.31069v1" }, { "category": "cs.LG", "position_in_category": 178, "category_size": 215, "title": "Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers: the #178 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/universal-transformers-for-circuit-computations-perfect-length-generalization-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/universal-transformers-for-circuit-computations-perfect-length-generalization-in.html", "arxiv_url": "https://arxiv.org/abs/2608.31067v1" }, { "category": "cs.LG", "position_in_category": 179, "category_size": 215, "title": "Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models: the #179 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/segmentation-of-bovid-dentition-under-imperfect-annotations-a-comparative-study-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/segmentation-of-bovid-dentition-under-imperfect-annotations-a-comparative-study-.html", "arxiv_url": "https://arxiv.org/abs/2608.31052v1" }, { "category": "cs.LG", "position_in_category": 180, "category_size": 215, "title": "Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement: the #180 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-on-policy-distillation-really-distill-from-noisy-teacher-to-self-improvemen.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/does-on-policy-distillation-really-distill-from-noisy-teacher-to-self-improvemen.html", "arxiv_url": "https://arxiv.org/abs/2608.31046v1" }, { "category": "cs.LG", "position_in_category": 181, "category_size": 215, "title": "Rotational Equivariance in Machine Learning: A Comprehensive Tutorial", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Rotational Equivariance in Machine Learning: A Comprehensive Tutorial: the #181 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rotational-equivariance-in-machine-learning-a-comprehensive-tutorial.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/rotational-equivariance-in-machine-learning-a-comprehensive-tutorial.html", "arxiv_url": "https://arxiv.org/abs/2608.31045v1" }, { "category": "cs.LG", "position_in_category": 182, "category_size": 215, "title": "Normalized Low-Rank Adaptation", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Normalized Low-Rank Adaptation: the #182 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/normalized-low-rank-adaptation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/normalized-low-rank-adaptation.html", "arxiv_url": "https://arxiv.org/abs/2608.31036v1" }, { "category": "cs.LG", "position_in_category": 183, "category_size": 215, "title": "Driving on Memory", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Driving on Memory: the #183 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/driving-on-memory.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/driving-on-memory.html", "arxiv_url": "https://arxiv.org/abs/2608.31029v1" }, { "category": "cs.LG", "position_in_category": 184, "category_size": 215, "title": "Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions: the #184 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-the-geometry-of-admissible-hypotheses-through-inductive-bias-in-trainin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-the-geometry-of-admissible-hypotheses-through-inductive-bias-in-trainin.html", "arxiv_url": "https://arxiv.org/abs/2608.31028v1" }, { "category": "cs.LG", "position_in_category": 185, "category_size": 215, "title": "TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification: the #185 most recent of 215 cs.LG papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tspfn-a-temporal-tabular-foundation-model-for-physiological-time-series-classifi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tspfn-a-temporal-tabular-foundation-model-for-physiological-time-series-classifi.html", "arxiv_url": "https://arxiv.org/abs/2608.31013v1" }, { "category": "cs.CV", "position_in_category": 193, "category_size": 237, "title": "BRF-GS: Hyperspectral Bidirectional Reflectance Factor Modeling and Image Generation Based on 3D Gaussian Splatting", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "BRF-GS: Hyperspectral Bidirectional Reflectance Factor Modeling and Image Generation Based on 3D Gaussian Splatting: the #193 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/brf-gs-hyperspectral-bidirectional-reflectance-factor-modeling-and-image-generat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/brf-gs-hyperspectral-bidirectional-reflectance-factor-modeling-and-image-generat.html", "arxiv_url": "https://arxiv.org/abs/2608.31159v1" }, { "category": "cs.CV", "position_in_category": 194, "category_size": 237, "title": "BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives: the #194 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/blarm-animating-3d-objects-from-video-via-blending-latent-rigid-motion-primitive.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/blarm-animating-3d-objects-from-video-via-blending-latent-rigid-motion-primitive.html", "arxiv_url": "https://arxiv.org/abs/2608.31113v1" }, { "category": "cs.CV", "position_in_category": 195, "category_size": 237, "title": "VeriCam: A Verification Baseline for the Classification of Unknown Data", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "VeriCam: A Verification Baseline for the Classification of Unknown Data: the #195 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vericam-a-verification-baseline-for-the-classification-of-unknown-data.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/vericam-a-verification-baseline-for-the-classification-of-unknown-data.html", "arxiv_url": "https://arxiv.org/abs/2608.31107v1" }, { "category": "cs.CV", "position_in_category": 196, "category_size": 237, "title": "DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution: the #196 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dreamx-creator-democratizing-native-audio-video-generation-at-2k-resolution.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/dreamx-creator-democratizing-native-audio-video-generation-at-2k-resolution.html", "arxiv_url": "https://arxiv.org/abs/2608.31106v1" }, { "category": "cs.CV", "position_in_category": 197, "category_size": 237, "title": "Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices: the #197 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robust-retinal-biometrics-for-patient-identity-verification-and-retrieval-across.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/robust-retinal-biometrics-for-patient-identity-verification-and-retrieval-across.html", "arxiv_url": "https://arxiv.org/abs/2608.31094v1" }, { "category": "cs.CV", "position_in_category": 198, "category_size": 237, "title": "LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation: the #198 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lisynseg-data-centric-label-to-image-synthesis-for-cross-modality-whole-heart-se.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/lisynseg-data-centric-label-to-image-synthesis-for-cross-modality-whole-heart-se.html", "arxiv_url": "https://arxiv.org/abs/2608.31073v1" }, { "category": "cs.CV", "position_in_category": 199, "category_size": 237, "title": "Multimodal Shared Latent Representation of Narration, Microscope and iOCT Images for Phase Recognition in Vitreoretinal Surgery", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Multimodal Shared Latent Representation of Narration, Microscope and iOCT Images for Phase Recognition in Vitreoretinal Surgery: the #199 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multimodal-shared-latent-representation-of-narration-microscope-and-ioct-images-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multimodal-shared-latent-representation-of-narration-microscope-and-ioct-images-.html", "arxiv_url": "https://arxiv.org/abs/2608.31065v1" }, { "category": "cs.CV", "position_in_category": 200, "category_size": 237, "title": "Identity-Conditioned Latent Consistency Distillation for Face Synthesis", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Identity-Conditioned Latent Consistency Distillation for Face Synthesis: the #200 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/identity-conditioned-latent-consistency-distillation-for-face-synthesis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/identity-conditioned-latent-consistency-distillation-for-face-synthesis.html", "arxiv_url": "https://arxiv.org/abs/2608.31053v1" }, { "category": "cs.CV", "position_in_category": 201, "category_size": 237, "title": "FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture: the #201 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/facesnap-real-time-personalized-lightstage-facial-performance-capture.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/facesnap-real-time-personalized-lightstage-facial-performance-capture.html", "arxiv_url": "https://arxiv.org/abs/2608.31033v1" }, { "category": "cs.CV", "position_in_category": 202, "category_size": 237, "title": "Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos: the #202 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/analytic-dynamics-learning-physics-grounded-representation-for-fast-intrinsic-dy.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/analytic-dynamics-learning-physics-grounded-representation-for-fast-intrinsic-dy.html", "arxiv_url": "https://arxiv.org/abs/2608.31025v1" }, { "category": "cs.CV", "position_in_category": 203, "category_size": 237, "title": "SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting: the #203 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/smg-semantic-motion-graph-for-monocular-dynamic-gaussian-splatting.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/smg-semantic-motion-graph-for-monocular-dynamic-gaussian-splatting.html", "arxiv_url": "https://arxiv.org/abs/2608.31023v1" }, { "category": "cs.CV", "position_in_category": 204, "category_size": 237, "title": "From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents: the #204 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-intent-to-evidence-policy-steered-multi-strategy-retrieval-for-long-video-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/from-intent-to-evidence-policy-steered-multi-strategy-retrieval-for-long-video-a.html", "arxiv_url": "https://arxiv.org/abs/2608.31005v1" }, { "category": "cs.CV", "position_in_category": 205, "category_size": 237, "title": "DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception: the #205 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/darp-a-calibrated-dual-arm-rgb-d-ir-dataset-for-multi-view-robotic-perception.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/darp-a-calibrated-dual-arm-rgb-d-ir-dataset-for-multi-view-robotic-perception.html", "arxiv_url": "https://arxiv.org/abs/2608.31002v1" }, { "category": "cs.CV", "position_in_category": 206, "category_size": 237, "title": "Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification: the #206 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multi-view-reflective-surface-inspection-via-semantic-saliency-cross-verificatio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/multi-view-reflective-surface-inspection-via-semantic-saliency-cross-verificatio.html", "arxiv_url": "https://arxiv.org/abs/2608.30997v1" }, { "category": "cs.CL", "position_in_category": 148, "category_size": 186, "title": "Context-Aware Interleaved Batching for WhisperX", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Context-Aware Interleaved Batching for WhisperX: the #148 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/context-aware-interleaved-batching-for-whisperx.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/context-aware-interleaved-batching-for-whisperx.html", "arxiv_url": "https://arxiv.org/abs/2608.31170v1" }, { "category": "cs.CL", "position_in_category": 149, "category_size": 186, "title": "Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation: the #149 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/configurable-semantic-chunking-for-biomedical-information-extraction-in-retrieva.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/configurable-semantic-chunking-for-biomedical-information-extraction-in-retrieva.html", "arxiv_url": "https://arxiv.org/abs/2608.31139v1" }, { "category": "cs.CL", "position_in_category": 150, "category_size": 186, "title": "DIASENTINEL: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk Screening", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "DIASENTINEL: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk Screening: the #150 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diasentinel-an-auditable-multi-agent-system-for-guideline-grounded-diabetes-risk.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/diasentinel-an-auditable-multi-agent-system-for-guideline-grounded-diabetes-risk.html", "arxiv_url": "https://arxiv.org/abs/2608.31128v1" }, { "category": "cs.CL", "position_in_category": 151, "category_size": 186, "title": "PaperGym: Rubric-Centered Evolution for Research-Plan Generation", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "PaperGym: Rubric-Centered Evolution for Research-Plan Generation: the #151 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/papergym-rubric-centered-evolution-for-research-plan-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/papergym-rubric-centered-evolution-for-research-plan-generation.html", "arxiv_url": "https://arxiv.org/abs/2608.31119v1" }, { "category": "cs.CL", "position_in_category": 152, "category_size": 186, "title": "Aspire: Can Models Self-Evolve from Vague Goals?", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Aspire: Can Models Self-Evolve from Vague Goals?: the #152 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/aspire-can-models-self-evolve-from-vague-goals.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/aspire-can-models-self-evolve-from-vague-goals.html", "arxiv_url": "https://arxiv.org/abs/2608.31111v1" }, { "category": "cs.CL", "position_in_category": 153, "category_size": 186, "title": "S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?: the #153 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/s3gym-can-llms-turn-self-testing-and-self-judging-into-self-improvement.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/s3gym-can-llms-turn-self-testing-and-self-judging-into-self-improvement.html", "arxiv_url": "https://arxiv.org/abs/2608.31100v1" }, { "category": "cs.CL", "position_in_category": 154, "category_size": 186, "title": "The First Token Is a Clue: Verbalizing Multi-Token Concepts from the J-lens", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "The First Token Is a Clue: Verbalizing Multi-Token Concepts from the J-lens: the #154 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-first-token-is-a-clue-verbalizing-multi-token-concepts-from-the-j-lens.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-first-token-is-a-clue-verbalizing-multi-token-concepts-from-the-j-lens.html", "arxiv_url": "https://arxiv.org/abs/2608.31084v1" }, { "category": "cs.CL", "position_in_category": 155, "category_size": 186, "title": "Every Token Leaves a Ripple in the Stream of Thought: Eliciting Model-Internal Token Saliency for Chain-of-Thought Compression", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Every Token Leaves a Ripple in the Stream of Thought: Eliciting Model-Internal Token Saliency for Chain-of-Thought Compression: the #155 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/every-token-leaves-a-ripple-in-the-stream-of-thought-eliciting-model-internal-to.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/every-token-leaves-a-ripple-in-the-stream-of-thought-eliciting-model-internal-to.html", "arxiv_url": "https://arxiv.org/abs/2608.31066v1" }, { "category": "cs.CL", "position_in_category": 156, "category_size": 186, "title": "When Can We Work in Embedding Space? What Text Embeddings Preserve", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "When Can We Work in Embedding Space? What Text Embeddings Preserve: the #156 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-can-we-work-in-embedding-space-what-text-embeddings-preserve.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-can-we-work-in-embedding-space-what-text-embeddings-preserve.html", "arxiv_url": "https://arxiv.org/abs/2608.31059v1" }, { "category": "cs.CL", "position_in_category": 157, "category_size": 186, "title": "Improving Information Extraction with Learned Queries", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Improving Information Extraction with Learned Queries: the #157 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/improving-information-extraction-with-learned-queries.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/improving-information-extraction-with-learned-queries.html", "arxiv_url": "https://arxiv.org/abs/2608.31058v1" }, { "category": "cs.CL", "position_in_category": 158, "category_size": 186, "title": "Type-Balanced Contextual Learning for Incremental Named Entity Recognition", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Type-Balanced Contextual Learning for Incremental Named Entity Recognition: the #158 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/type-balanced-contextual-learning-for-incremental-named-entity-recognition.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/type-balanced-contextual-learning-for-incremental-named-entity-recognition.html", "arxiv_url": "https://arxiv.org/abs/2608.31038v1" }, { "category": "cs.CL", "position_in_category": 159, "category_size": 186, "title": "Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions: the #159 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/language-statistical-analysis-of-neural-audio-codec-tokens-across-architectures-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/language-statistical-analysis-of-neural-audio-codec-tokens-across-architectures-.html", "arxiv_url": "https://arxiv.org/abs/2608.31037v1" }, { "category": "cs.CL", "position_in_category": 160, "category_size": 186, "title": "When Does Predictor-Based RL Align with Human Perception? A Study of Subjective Rewards in Codec-Based Speech Language Models", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "When Does Predictor-Based RL Align with Human Perception? A Study of Subjective Rewards in Codec-Based Speech Language Models: the #160 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-does-predictor-based-rl-align-with-human-perception-a-study-of-subjective-r.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-does-predictor-based-rl-align-with-human-perception-a-study-of-subjective-r.html", "arxiv_url": "https://arxiv.org/abs/2608.31035v1" }, { "category": "cs.AI", "position_in_category": 241, "category_size": 300, "title": "SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies: the #241 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sun-persistent-programs-for-language-grounded-control-to-learning-to-real-polici.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sun-persistent-programs-for-language-grounded-control-to-learning-to-real-polici.html", "arxiv_url": "https://arxiv.org/abs/2608.31167v1" }, { "category": "cs.AI", "position_in_category": 242, "category_size": 300, "title": "Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification: the #242 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/auditing-anonymous-ai-models-a-four-stage-protocol-for-black-box-identity-verifi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/auditing-anonymous-ai-models-a-four-stage-protocol-for-black-box-identity-verifi.html", "arxiv_url": "https://arxiv.org/abs/2608.31142v1" }, { "category": "cs.AI", "position_in_category": 243, "category_size": 300, "title": "OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques: the #243 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ontoaligner-ensemble-voting-based-fusion-across-heterogeneous-ontology-alignment.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ontoaligner-ensemble-voting-based-fusion-across-heterogeneous-ontology-alignment.html", "arxiv_url": "https://arxiv.org/abs/2608.31137v1" }, { "category": "cs.AI", "position_in_category": 244, "category_size": 300, "title": "When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning: the #244 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-does-bigger-help-a-controlled-study-of-llm-scale-for-ontology-learning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-does-bigger-help-a-controlled-study-of-llm-scale-for-ontology-learning.html", "arxiv_url": "https://arxiv.org/abs/2608.31118v1" }, { "category": "cs.AI", "position_in_category": 245, "category_size": 300, "title": "BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing: the #245 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bloom-wilt-logit-tilting-for-behaviour-elicitation-in-automated-llm-auditing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/bloom-wilt-logit-tilting-for-behaviour-elicitation-in-automated-llm-auditing.html", "arxiv_url": "https://arxiv.org/abs/2608.31105v1" }, { "category": "cs.AI", "position_in_category": 246, "category_size": 300, "title": "LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering: the #246 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-post-training-as-brownfield-maintenance-an-industrial-perspective-on-datawar.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm-post-training-as-brownfield-maintenance-an-industrial-perspective-on-datawar.html", "arxiv_url": "https://arxiv.org/abs/2608.31102v1" }, { "category": "cs.AI", "position_in_category": 247, "category_size": 300, "title": "Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations: the #247 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cross-regional-grapevine-cold-hardiness-prediction-via-learned-multimodal-latent.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cross-regional-grapevine-cold-hardiness-prediction-via-learned-multimodal-latent.html", "arxiv_url": "https://arxiv.org/abs/2608.31097v1" }, { "category": "cs.AI", "position_in_category": 248, "category_size": 300, "title": "Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data: the #248 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/token-efficient-data-reasoning-agents-via-adaptive-structuring-of-unstructured-d.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/token-efficient-data-reasoning-agents-via-adaptive-structuring-of-unstructured-d.html", "arxiv_url": "https://arxiv.org/abs/2608.31082v1" }, { "category": "cs.AI", "position_in_category": 249, "category_size": 300, "title": "Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization: the #249 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reconciling-process-supervision-with-outcome-based-credit-in-agentic-policy-opti.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/reconciling-process-supervision-with-outcome-based-credit-in-agentic-policy-opti.html", "arxiv_url": "https://arxiv.org/abs/2608.31077v1" }, { "category": "cs.AI", "position_in_category": 250, "category_size": 300, "title": "Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents: the #250 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-to-evaluate-before-improving-automatic-rubric-induction-for-automatic-r.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-to-evaluate-before-improving-automatic-rubric-induction-for-automatic-r.html", "arxiv_url": "https://arxiv.org/abs/2608.31076v1" }, { "category": "cs.AI", "position_in_category": 251, "category_size": 300, "title": "Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence: the #251 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scaling-large-reasoning-models-beyond-human-supervision-a-path-toward-superintel.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/scaling-large-reasoning-models-beyond-human-supervision-a-path-toward-superintel.html", "arxiv_url": "https://arxiv.org/abs/2608.31075v1" }, { "category": "cs.AI", "position_in_category": 252, "category_size": 300, "title": "Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring: the #252 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/real-time-video-anomaly-detection-using-yolo-pose-estimation-and-clip-based-sema.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/real-time-video-anomaly-detection-using-yolo-pose-estimation-and-clip-based-sema.html", "arxiv_url": "https://arxiv.org/abs/2608.31074v1" }, { "category": "cs.AI", "position_in_category": 253, "category_size": 300, "title": "Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores: the #253 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/wrong-prediction-right-answer-recovering-evidence-from-collapsed-llm-sequence-sc.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/wrong-prediction-right-answer-recovering-evidence-from-collapsed-llm-sequence-sc.html", "arxiv_url": "https://arxiv.org/abs/2608.31068v1" }, { "category": "cs.AI", "position_in_category": 254, "category_size": 300, "title": "Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents: the #254 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/measure-before-you-manage-evaluating-agent-working-memory-in-coding-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/measure-before-you-manage-evaluating-agent-working-memory-in-coding-agents.html", "arxiv_url": "https://arxiv.org/abs/2608.31057v1" }, { "category": "cs.AI", "position_in_category": 255, "category_size": 300, "title": "MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents: the #255 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mnist-pro-mnist-is-back-as-a-partially-observable-world-for-ai-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mnist-pro-mnist-is-back-as-a-partially-observable-world-for-ai-agents.html", "arxiv_url": "https://arxiv.org/abs/2608.31022v1" }, { "category": "cs.AI", "position_in_category": 256, "category_size": 300, "title": "One note in three: a verified census of three deployed AI scribes, and the instrument that counted it", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "One note in three: a verified census of three deployed AI scribes, and the instrument that counted it: the #256 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/one-note-in-three-a-verified-census-of-three-deployed-ai-scribes-and-the-instrum.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/one-note-in-three-a-verified-census-of-three-deployed-ai-scribes-and-the-instrum.html", "arxiv_url": "https://arxiv.org/abs/2608.31017v1" }, { "category": "cs.AI", "position_in_category": 257, "category_size": 300, "title": "LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers It", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers It: the #257 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-judges-verify-presence-not-absence-omission-blindness-in-ai-clinical-notes-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm-judges-verify-presence-not-absence-omission-blindness-in-ai-clinical-notes-a.html", "arxiv_url": "https://arxiv.org/abs/2608.31016v1" }, { "category": "cs.AI", "position_in_category": 258, "category_size": 300, "title": "Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning: the #258 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stick-to-what-you-know-a-study-of-knowledge-aligned-supervised-fine-tuning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/stick-to-what-you-know-a-study-of-knowledge-aligned-supervised-fine-tuning.html", "arxiv_url": "https://arxiv.org/abs/2608.30987v1" }, { "category": "cs.AI", "position_in_category": 259, "category_size": 300, "title": "Evaluating and Improving LLM Self-Modeling", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "Evaluating and Improving LLM Self-Modeling: the #259 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluating-and-improving-llm-self-modeling.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evaluating-and-improving-llm-self-modeling.html", "arxiv_url": "https://arxiv.org/abs/2608.30980v1" }, { "category": "cs.AI", "position_in_category": 260, "category_size": 300, "title": "MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI", "published": "2026-08-31", "recorded_on": "2026-09-01", "citation": "MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI: the #260 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mr-jepa-a-general-purpose-video-foundation-model-for-cardiac-mri.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mr-jepa-a-general-purpose-video-foundation-model-for-cardiac-mri.html", "arxiv_url": "https://arxiv.org/abs/2608.30975v1" }, { "category": "cs.LG", "position_in_category": 186, "category_size": 215, "title": "Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow: the #186 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reward-guided-fine-tuning-of-one-step-generative-models-via-wasserstein-gradient.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/reward-guided-fine-tuning-of-one-step-generative-models-via-wasserstein-gradient.html", "arxiv_url": "https://arxiv.org/abs/2608.29647v1" }, { "category": "cs.LG", "position_in_category": 187, "category_size": 215, "title": "Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment: the #187 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/unsupervised-multi-scale-gromov-wasserstein-hypergraph-alignment.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/unsupervised-multi-scale-gromov-wasserstein-hypergraph-alignment.html", "arxiv_url": "https://arxiv.org/abs/2608.29635v1" }, { "category": "cs.LG", "position_in_category": 188, "category_size": 215, "title": "Cross-lingual Functional Vectors for Emotion Detection in Large Language Models", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Cross-lingual Functional Vectors for Emotion Detection in Large Language Models: the #188 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cross-lingual-functional-vectors-for-emotion-detection-in-large-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cross-lingual-functional-vectors-for-emotion-detection-in-large-language-models.html", "arxiv_url": "https://arxiv.org/abs/2608.29613v1" }, { "category": "cs.LG", "position_in_category": 189, "category_size": 215, "title": "$\\mathcal{N}_0$-Foundation: Towards the Age of Tactile Intelligence", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "$\\mathcal{N}_0$-Foundation: Towards the Age of Tactile Intelligence: the #189 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mathcal-n-0-foundation-towards-the-age-of-tactile-intelligence.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mathcal-n-0-foundation-towards-the-age-of-tactile-intelligence.html", "arxiv_url": "https://arxiv.org/abs/2608.29601v1" }, { "category": "cs.LG", "position_in_category": 190, "category_size": 215, "title": "Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior: the #190 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adaptive-doubly-robust-off-policy-evaluation-for-ranking-policies-under-diverse-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/adaptive-doubly-robust-off-policy-evaluation-for-ranking-policies-under-diverse-.html", "arxiv_url": "https://arxiv.org/abs/2608.29600v1" }, { "category": "cs.LG", "position_in_category": 191, "category_size": 215, "title": "On the Resilience of Text-to-Video Diffusion Models to Hardware Faults", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "On the Resilience of Text-to-Video Diffusion Models to Hardware Faults: the #191 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-the-resilience-of-text-to-video-diffusion-models-to-hardware-faults.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-the-resilience-of-text-to-video-diffusion-models-to-hardware-faults.html", "arxiv_url": "https://arxiv.org/abs/2608.29598v1" }, { "category": "cs.LG", "position_in_category": 192, "category_size": 215, "title": "Predicting the Unpredictable: LLM-powered Long-term Chaotic Time Series Forecasting under Short-term Observations", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Predicting the Unpredictable: LLM-powered Long-term Chaotic Time Series Forecasting under Short-term Observations: the #192 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/predicting-the-unpredictable-llm-powered-long-term-chaotic-time-series-forecasti.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/predicting-the-unpredictable-llm-powered-long-term-chaotic-time-series-forecasti.html", "arxiv_url": "https://arxiv.org/abs/2608.29579v1" }, { "category": "cs.LG", "position_in_category": 193, "category_size": 215, "title": "Event-triggered Control and Online Learning for Networked Systems under Computational Delays", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Event-triggered Control and Online Learning for Networked Systems under Computational Delays: the #193 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/event-triggered-control-and-online-learning-for-networked-systems-under-computat.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/event-triggered-control-and-online-learning-for-networked-systems-under-computat.html", "arxiv_url": "https://arxiv.org/abs/2608.29576v1" }, { "category": "cs.LG", "position_in_category": 194, "category_size": 215, "title": "TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization: the #194 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/tacs-trajectory-aware-candidate-selection-for-llm-jailbreak-suffix-optimization.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/tacs-trajectory-aware-candidate-selection-for-llm-jailbreak-suffix-optimization.html", "arxiv_url": "https://arxiv.org/abs/2608.29564v1" }, { "category": "cs.LG", "position_in_category": 195, "category_size": 215, "title": "Asynchronous Cooperative Online Learning for Multi-Robot Control under Computational Delays", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Asynchronous Cooperative Online Learning for Multi-Robot Control under Computational Delays: the #195 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/asynchronous-cooperative-online-learning-for-multi-robot-control-under-computati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/asynchronous-cooperative-online-learning-for-multi-robot-control-under-computati.html", "arxiv_url": "https://arxiv.org/abs/2608.29562v1" }, { "category": "cs.LG", "position_in_category": 196, "category_size": 215, "title": "Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation: the #196 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/which-llm-for-which-work-budgeted-model-allocation-under-uncertain-evaluation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/which-llm-for-which-work-budgeted-model-allocation-under-uncertain-evaluation.html", "arxiv_url": "https://arxiv.org/abs/2608.29560v1" }, { "category": "cs.LG", "position_in_category": 197, "category_size": 215, "title": "BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning: the #197 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beacon-behavioral-and-semantic-enrichment-of-alphaearth-embeddings-through-tri-m.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beacon-behavioral-and-semantic-enrichment-of-alphaearth-embeddings-through-tri-m.html", "arxiv_url": "https://arxiv.org/abs/2608.29553v1" }, { "category": "cs.LG", "position_in_category": 198, "category_size": 215, "title": "LoGo: Token-Level Dynamic Local-Global Attention", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "LoGo: Token-Level Dynamic Local-Global Attention: the #198 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/logo-token-level-dynamic-local-global-attention.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/logo-token-level-dynamic-local-global-attention.html", "arxiv_url": "https://arxiv.org/abs/2608.29539v1" }, { "category": "cs.LG", "position_in_category": 199, "category_size": 215, "title": "MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents: the #199 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/medcache-efficient-and-temporally-valid-memory-for-longitudinal-clinical-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/medcache-efficient-and-temporally-valid-memory-for-longitudinal-clinical-agents.html", "arxiv_url": "https://arxiv.org/abs/2608.29528v1" }, { "category": "cs.LG", "position_in_category": 200, "category_size": 215, "title": "On the Plasticity Collapse in Continual Machine Unlearning", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "On the Plasticity Collapse in Continual Machine Unlearning: the #200 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-the-plasticity-collapse-in-continual-machine-unlearning.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-the-plasticity-collapse-in-continual-machine-unlearning.html", "arxiv_url": "https://arxiv.org/abs/2608.29513v1" }, { "category": "cs.CV", "position_in_category": 207, "category_size": 237, "title": "SPLG-Mamba: Structure-Preserving Local-Global Mamba Network for Salient Object Detection in Optical Remote Sensing Images", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "SPLG-Mamba: Structure-Preserving Local-Global Mamba Network for Salient Object Detection in Optical Remote Sensing Images: the #207 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/splg-mamba-structure-preserving-local-global-mamba-network-for-salient-object-de.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/splg-mamba-structure-preserving-local-global-mamba-network-for-salient-object-de.html", "arxiv_url": "https://arxiv.org/abs/2608.29626v1" }, { "category": "cs.CV", "position_in_category": 208, "category_size": 237, "title": "See the Change, Keep the Flow: Unsupervised Action Segmentation via Spectral-Temporal Representation Learning", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "See the Change, Keep the Flow: Unsupervised Action Segmentation via Spectral-Temporal Representation Learning: the #208 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/see-the-change-keep-the-flow-unsupervised-action-segmentation-via-spectral-tempo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/see-the-change-keep-the-flow-unsupervised-action-segmentation-via-spectral-tempo.html", "arxiv_url": "https://arxiv.org/abs/2608.29611v1" }, { "category": "cs.CV", "position_in_category": 209, "category_size": 237, "title": "nnMNet: Baseline for Martian Terrain Semantic Segmentation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "nnMNet: Baseline for Martian Terrain Semantic Segmentation: the #209 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nnmnet-baseline-for-martian-terrain-semantic-segmentation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nnmnet-baseline-for-martian-terrain-semantic-segmentation.html", "arxiv_url": "https://arxiv.org/abs/2608.29609v1" }, { "category": "cs.CV", "position_in_category": 210, "category_size": 237, "title": "SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions: the #210 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/snapbench-benchmarking-snap-and-ask-multimodal-retrieval-for-mobile-interactions.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/snapbench-benchmarking-snap-and-ask-multimodal-retrieval-for-mobile-interactions.html", "arxiv_url": "https://arxiv.org/abs/2608.29607v1" }, { "category": "cs.CV", "position_in_category": 211, "category_size": 237, "title": "RePair: Turning Retrieval Failures into Counterfactual Hard Pairs", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "RePair: Turning Retrieval Failures into Counterfactual Hard Pairs: the #211 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/repair-turning-retrieval-failures-into-counterfactual-hard-pairs.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/repair-turning-retrieval-failures-into-counterfactual-hard-pairs.html", "arxiv_url": "https://arxiv.org/abs/2608.29604v1" }, { "category": "cs.CV", "position_in_category": 212, "category_size": 237, "title": "Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models: the #212 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/guardrail-agnostic-societal-bias-evaluation-in-large-vision-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/guardrail-agnostic-societal-bias-evaluation-in-large-vision-language-models.html", "arxiv_url": "https://arxiv.org/abs/2608.29590v1" }, { "category": "cs.CV", "position_in_category": 213, "category_size": 237, "title": "TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highlight Detection", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highlight Detection: the #213 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/trinity-a-multi-perspective-benchmark-for-personal-style-video-highlight-detecti.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/trinity-a-multi-perspective-benchmark-for-personal-style-video-highlight-detecti.html", "arxiv_url": "https://arxiv.org/abs/2608.29577v1" }, { "category": "cs.CV", "position_in_category": 214, "category_size": 237, "title": "MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficient 3D Perception", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficient 3D Perception: the #214 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/motionsync-non-causal-refinement-of-causal-tracker-for-label-efficient-3d-percep.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/motionsync-non-causal-refinement-of-causal-tracker-for-label-efficient-3d-percep.html", "arxiv_url": "https://arxiv.org/abs/2608.29567v1" }, { "category": "cs.CV", "position_in_category": 215, "category_size": 237, "title": "NepScript Genesis: Neural Architecture Search for Handwritten Devanagari Digit Synthesis", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "NepScript Genesis: Neural Architecture Search for Handwritten Devanagari Digit Synthesis: the #215 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nepscript-genesis-neural-architecture-search-for-handwritten-devanagari-digit-sy.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nepscript-genesis-neural-architecture-search-for-handwritten-devanagari-digit-sy.html", "arxiv_url": "https://arxiv.org/abs/2608.29540v1" }, { "category": "cs.CV", "position_in_category": 216, "category_size": 237, "title": "FuncRoom-Agent: Sequential Feed-Forward 3D Functional Indoor Scene Generation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "FuncRoom-Agent: Sequential Feed-Forward 3D Functional Indoor Scene Generation: the #216 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/funcroom-agent-sequential-feed-forward-3d-functional-indoor-scene-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/funcroom-agent-sequential-feed-forward-3d-functional-indoor-scene-generation.html", "arxiv_url": "https://arxiv.org/abs/2608.29519v1" }, { "category": "cs.CV", "position_in_category": 217, "category_size": 237, "title": "ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity: the #217 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/armor-manifold-oriented-training-for-adversarially-robust-aerial-object-detectio.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/armor-manifold-oriented-training-for-adversarially-robust-aerial-object-detectio.html", "arxiv_url": "https://arxiv.org/abs/2608.29510v1" }, { "category": "cs.CV", "position_in_category": 218, "category_size": 237, "title": "SpatialTrust: A Benchmark for Environmental Risk Recognition in Secure Authentication", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "SpatialTrust: A Benchmark for Environmental Risk Recognition in Secure Authentication: the #218 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spatialtrust-a-benchmark-for-environmental-risk-recognition-in-secure-authentica.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/spatialtrust-a-benchmark-for-environmental-risk-recognition-in-secure-authentica.html", "arxiv_url": "https://arxiv.org/abs/2608.29489v1" }, { "category": "cs.CV", "position_in_category": 219, "category_size": 237, "title": "GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation: the #219 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/geoagent-evaluating-vlm-geolocalization-through-embodied-navigation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/geoagent-evaluating-vlm-geolocalization-through-embodied-navigation.html", "arxiv_url": "https://arxiv.org/abs/2608.29483v1" }, { "category": "cs.CV", "position_in_category": 220, "category_size": 237, "title": "Seeing Through Extreme Visual Sparsity: Surface Understanding from a Single Random Visual Patch", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Seeing Through Extreme Visual Sparsity: Surface Understanding from a Single Random Visual Patch: the #220 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/seeing-through-extreme-visual-sparsity-surface-understanding-from-a-single-rando.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/seeing-through-extreme-visual-sparsity-surface-understanding-from-a-single-rando.html", "arxiv_url": "https://arxiv.org/abs/2608.29475v1" }, { "category": "cs.CL", "position_in_category": 161, "category_size": 186, "title": "PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization: the #161 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/privbench-a-holistic-and-modular-benchmarking-platform-for-evaluating-text-to-te.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/privbench-a-holistic-and-modular-benchmarking-platform-for-evaluating-text-to-te.html", "arxiv_url": "https://arxiv.org/abs/2608.29624v1" }, { "category": "cs.CL", "position_in_category": 162, "category_size": 186, "title": "JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction: the #162 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/jpo-juris-policy-optimization-for-structured-legal-reasoning-in-criminal-judgmen.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/jpo-juris-policy-optimization-for-structured-legal-reasoning-in-criminal-judgmen.html", "arxiv_url": "https://arxiv.org/abs/2608.29616v1" }, { "category": "cs.CL", "position_in_category": 163, "category_size": 186, "title": "Beyond Surface Alignment: Grounding the Dynamics of Situational Understanding and Generative Control in LLMs", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Beyond Surface Alignment: Grounding the Dynamics of Situational Understanding and Generative Control in LLMs: the #163 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-surface-alignment-grounding-the-dynamics-of-situational-understanding-and.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beyond-surface-alignment-grounding-the-dynamics-of-situational-understanding-and.html", "arxiv_url": "https://arxiv.org/abs/2608.29610v1" }, { "category": "cs.CL", "position_in_category": 164, "category_size": 186, "title": "Agent Zero Memory: Provenance-Aware Long-Term Memory for LLM Agents", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Agent Zero Memory: Provenance-Aware Long-Term Memory for LLM Agents: the #164 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agent-zero-memory-provenance-aware-long-term-memory-for-llm-agents.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/agent-zero-memory-provenance-aware-long-term-memory-for-llm-agents.html", "arxiv_url": "https://arxiv.org/abs/2608.29606v1" }, { "category": "cs.CL", "position_in_category": 165, "category_size": 186, "title": "Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit: the #165 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hindsight-memory-prm-supervising-memory-management-with-auditable-hindsight-cred.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hindsight-memory-prm-supervising-memory-management-with-auditable-hindsight-cred.html", "arxiv_url": "https://arxiv.org/abs/2608.29605v1" }, { "category": "cs.CL", "position_in_category": 166, "category_size": 186, "title": "How You Ask Shapes What You Get: A Theory-Seeded Measurement of Articulation in Advice-Seeking LLM Conversations", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "How You Ask Shapes What You Get: A Theory-Seeded Measurement of Articulation in Advice-Seeking LLM Conversations: the #166 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-you-ask-shapes-what-you-get-a-theory-seeded-measurement-of-articulation-in-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-you-ask-shapes-what-you-get-a-theory-seeded-measurement-of-articulation-in-a.html", "arxiv_url": "https://arxiv.org/abs/2608.29591v1" }, { "category": "cs.CL", "position_in_category": 167, "category_size": 186, "title": "SemTrace: Source-Grounded Semantic Signatures for Tracing LLM Exposure to Protected Documents", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "SemTrace: Source-Grounded Semantic Signatures for Tracing LLM Exposure to Protected Documents: the #167 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semtrace-source-grounded-semantic-signatures-for-tracing-llm-exposure-to-protect.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/semtrace-source-grounded-semantic-signatures-for-tracing-llm-exposure-to-protect.html", "arxiv_url": "https://arxiv.org/abs/2608.29575v1" }, { "category": "cs.CL", "position_in_category": 168, "category_size": 186, "title": "Which one is banana man? Evaluating vision-language models in multi-turn pragmatic interpretation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Which one is banana man? Evaluating vision-language models in multi-turn pragmatic interpretation: the #168 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/which-one-is-banana-man-evaluating-vision-language-models-in-multi-turn-pragmati.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/which-one-is-banana-man-evaluating-vision-language-models-in-multi-turn-pragmati.html", "arxiv_url": "https://arxiv.org/abs/2608.29571v1" }, { "category": "cs.CL", "position_in_category": 169, "category_size": 186, "title": "OASIS: Optimizing Attacker Sequences for Hard-Label Black-Box Text Attacks", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "OASIS: Optimizing Attacker Sequences for Hard-Label Black-Box Text Attacks: the #169 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/oasis-optimizing-attacker-sequences-for-hard-label-black-box-text-attacks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/oasis-optimizing-attacker-sequences-for-hard-label-black-box-text-attacks.html", "arxiv_url": "https://arxiv.org/abs/2608.29568v1" }, { "category": "cs.CL", "position_in_category": 170, "category_size": 186, "title": "Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach: the #170 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/argument-aware-semantic-alignment-of-normative-texts-a-toulmin-based-neuro-symbo.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/argument-aware-semantic-alignment-of-normative-texts-a-toulmin-based-neuro-symbo.html", "arxiv_url": "https://arxiv.org/abs/2608.29529v1" }, { "category": "cs.AI", "position_in_category": 261, "category_size": 300, "title": "Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systems", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systems: the #261 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/detect-before-you-attribute-cascade-failure-attribution-for-multi-agent-systems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/detect-before-you-attribute-cascade-failure-attribution-for-multi-agent-systems.html", "arxiv_url": "https://arxiv.org/abs/2608.29646v1" }, { "category": "cs.AI", "position_in_category": 262, "category_size": 300, "title": "Conducting Stylistic Analysis of Paintings through an Art-History Agent", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Conducting Stylistic Analysis of Paintings through an Art-History Agent: the #262 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/conducting-stylistic-analysis-of-paintings-through-an-art-history-agent.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/conducting-stylistic-analysis-of-paintings-through-an-art-history-agent.html", "arxiv_url": "https://arxiv.org/abs/2608.29644v1" }, { "category": "cs.AI", "position_in_category": 263, "category_size": 300, "title": "LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting: the #263 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llmode-aligning-odes-with-llms-via-gated-token-injection-for-irregular-spatio-te.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llmode-aligning-odes-with-llms-via-gated-token-injection-for-irregular-spatio-te.html", "arxiv_url": "https://arxiv.org/abs/2608.29640v1" }, { "category": "cs.AI", "position_in_category": 264, "category_size": 300, "title": "MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation: the #264 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mi-distillation-selecting-from-model-interpolated-instruct-reasoning-data-spectr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/mi-distillation-selecting-from-model-interpolated-instruct-reasoning-data-spectr.html", "arxiv_url": "https://arxiv.org/abs/2608.29623v1" }, { "category": "cs.AI", "position_in_category": 265, "category_size": 300, "title": "AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing: the #265 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agenticrag-r1-agentic-reinforcement-learning-with-stack-memory-for-multi-step-re.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/agenticrag-r1-agentic-reinforcement-learning-with-stack-memory-for-multi-step-re.html", "arxiv_url": "https://arxiv.org/abs/2608.29622v1" }, { "category": "cs.AI", "position_in_category": 266, "category_size": 300, "title": "CineForge: Self-Improving Agents for Long-Horizon Video Generation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "CineForge: Self-Improving Agents for Long-Horizon Video Generation: the #266 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cineforge-self-improving-agents-for-long-horizon-video-generation.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cineforge-self-improving-agents-for-long-horizon-video-generation.html", "arxiv_url": "https://arxiv.org/abs/2608.29621v1" }, { "category": "cs.AI", "position_in_category": 267, "category_size": 300, "title": "Memory-First Fact-Checking: A Knowledge-Graph-Grounded Multi-Agent System for Misinformation Detection", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Memory-First Fact-Checking: A Knowledge-Graph-Grounded Multi-Agent System for Misinformation Detection: the #267 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/memory-first-fact-checking-a-knowledge-graph-grounded-multi-agent-system-for-mis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/memory-first-fact-checking-a-knowledge-graph-grounded-multi-agent-system-for-mis.html", "arxiv_url": "https://arxiv.org/abs/2608.29617v1" }, { "category": "cs.AI", "position_in_category": 268, "category_size": 300, "title": "Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps: the #268 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/forward-deployed-full-stack-engineering-for-autonomous-cloud-mlops.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/forward-deployed-full-stack-engineering-for-autonomous-cloud-mlops.html", "arxiv_url": "https://arxiv.org/abs/2608.29615v1" }, { "category": "cs.AI", "position_in_category": 269, "category_size": 300, "title": "LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge: the #269 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llms-interpret-embeddings-organize-graphs-emerge-agent-driven-compilation-of-sci.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llms-interpret-embeddings-organize-graphs-emerge-agent-driven-compilation-of-sci.html", "arxiv_url": "https://arxiv.org/abs/2608.29612v1" }, { "category": "cs.AI", "position_in_category": 270, "category_size": 300, "title": "Wide Learning: Learning to Reach Evidence", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Wide Learning: Learning to Reach Evidence: the #270 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/wide-learning-learning-to-reach-evidence.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/wide-learning-learning-to-reach-evidence.html", "arxiv_url": "https://arxiv.org/abs/2608.29608v1" }, { "category": "cs.AI", "position_in_category": 271, "category_size": 300, "title": "Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security: the #271 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-a-systems-foundation-for-agentic-skills-architecture-lifecycle-and-secur.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/towards-a-systems-foundation-for-agentic-skills-architecture-lifecycle-and-secur.html", "arxiv_url": "https://arxiv.org/abs/2608.29596v1" }, { "category": "cs.AI", "position_in_category": 272, "category_size": 300, "title": "Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines: the #272 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/not-safe-for-all-auditing-the-dialect-penalty-in-text-to-image-safety-pipelines.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/not-safe-for-all-auditing-the-dialect-penalty-in-text-to-image-safety-pipelines.html", "arxiv_url": "https://arxiv.org/abs/2608.29589v1" }, { "category": "cs.AI", "position_in_category": 273, "category_size": 300, "title": "Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation: the #273 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/call-neighbours-yourself-graph-walks-with-destination-conditioned-on-policy-self.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/call-neighbours-yourself-graph-walks-with-destination-conditioned-on-policy-self.html", "arxiv_url": "https://arxiv.org/abs/2608.29588v1" }, { "category": "cs.AI", "position_in_category": 274, "category_size": 300, "title": "SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidence", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidence: the #274 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sup-mimic-a-multi-task-clinical-diagnosis-benchmark-for-evaluating-llms-robustne.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sup-mimic-a-multi-task-clinical-diagnosis-benchmark-for-evaluating-llms-robustne.html", "arxiv_url": "https://arxiv.org/abs/2608.29582v1" }, { "category": "cs.AI", "position_in_category": 275, "category_size": 300, "title": "HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning: the #275 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hoopmind-a-real-time-neural-game-tree-system-for-opponent-aware-possession-plann.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/hoopmind-a-real-time-neural-game-tree-system-for-opponent-aware-possession-plann.html", "arxiv_url": "https://arxiv.org/abs/2608.29563v1" }, { "category": "cs.AI", "position_in_category": 276, "category_size": 300, "title": "PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation: the #276 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/physwave-physics-guided-latent-diffusion-models-for-controllable-spatial-audio-g.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/physwave-physics-guided-latent-diffusion-models-for-controllable-spatial-audio-g.html", "arxiv_url": "https://arxiv.org/abs/2608.29549v1" }, { "category": "cs.AI", "position_in_category": 277, "category_size": 300, "title": "Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift: the #277 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluating-llms-on-conversational-text-to-sql-under-chain-ambiguity-and-intent-d.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/evaluating-llms-on-conversational-text-to-sql-under-chain-ambiguity-and-intent-d.html", "arxiv_url": "https://arxiv.org/abs/2608.29543v1" }, { "category": "cs.AI", "position_in_category": 278, "category_size": 300, "title": "AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies: the #278 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agm-achievement-grounded-memory-for-closed-loop-agents-with-frozen-vla-policies.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/agm-achievement-grounded-memory-for-closed-loop-agents-with-frozen-vla-policies.html", "arxiv_url": "https://arxiv.org/abs/2608.29537v1" }, { "category": "cs.AI", "position_in_category": 279, "category_size": 300, "title": "Integrating adaptive human behavior into epidemic models with large language models", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "Integrating adaptive human behavior into epidemic models with large language models: the #279 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/integrating-adaptive-human-behavior-into-epidemic-models-with-large-language-mod.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/integrating-adaptive-human-behavior-into-epidemic-models-with-large-language-mod.html", "arxiv_url": "https://arxiv.org/abs/2608.29535v1" }, { "category": "cs.AI", "position_in_category": 280, "category_size": 300, "title": "The Emergent Symbolic Structure of Artificial Neural Networks", "published": "2026-08-30", "recorded_on": "2026-09-01", "citation": "The Emergent Symbolic Structure of Artificial Neural Networks: the #280 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-emergent-symbolic-structure-of-artificial-neural-networks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/the-emergent-symbolic-structure-of-artificial-neural-networks.html", "arxiv_url": "https://arxiv.org/abs/2608.29530v1" }, { "category": "cs.CV", "position_in_category": 221, "category_size": 237, "title": "Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection", "published": "2026-08-29", "recorded_on": "2026-09-01", "citation": "Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection: the #221 most recent of 237 cs.CV papers we have recorded (as of 2026-08-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/co-evolutionary-prompt-optimization-with-cross-category-transfer-for-zero-shot-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/co-evolutionary-prompt-optimization-with-cross-category-transfer-for-zero-shot-a.html", "arxiv_url": "https://arxiv.org/abs/2608.29467v1" }, { "category": "cs.CV", "position_in_category": 222, "category_size": 237, "title": "Text-Guided Diffusion-Based Adversarial Attacks on Chest X-Ray Images", "published": "2026-08-29", "recorded_on": "2026-09-01", "citation": "Text-Guided Diffusion-Based Adversarial Attacks on Chest X-Ray Images: the #222 most recent of 237 cs.CV papers we have recorded (as of 2026-08-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/text-guided-diffusion-based-adversarial-attacks-on-chest-x-ray-images.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/text-guided-diffusion-based-adversarial-attacks-on-chest-x-ray-images.html", "arxiv_url": "https://arxiv.org/abs/2608.29456v1" }, { "category": "cs.CV", "position_in_category": 223, "category_size": 237, "title": "Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations", "published": "2026-08-29", "recorded_on": "2026-09-01", "citation": "Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations: the #223 most recent of 237 cs.CV papers we have recorded (as of 2026-08-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-latent-planning-survive-point-clouds-action-conditioned-jepa-world-models-f.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/does-latent-planning-survive-point-clouds-action-conditioned-jepa-world-models-f.html", "arxiv_url": "https://arxiv.org/abs/2608.29434v1" }, { "category": "cs.LG", "position_in_category": 201, "category_size": 215, "title": "QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs: the #201 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/qgpinns-a-physics-informed-neural-network-framework-for-nonlocal-differential-eq.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/qgpinns-a-physics-informed-neural-network-framework-for-nonlocal-differential-eq.html", "arxiv_url": "https://arxiv.org/abs/2608.28589v1" }, { "category": "cs.LG", "position_in_category": 202, "category_size": 215, "title": "On two proofs of $d^2$ mixing of weighted Dikin walks", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "On two proofs of $d^2$ mixing of weighted Dikin walks: the #202 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-two-proofs-of-d-2-mixing-of-weighted-dikin-walks.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-two-proofs-of-d-2-mixing-of-weighted-dikin-walks.html", "arxiv_url": "https://arxiv.org/abs/2608.28566v1" }, { "category": "cs.LG", "position_in_category": 203, "category_size": 215, "title": "Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy: the #203 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-between-the-peaks-sharp-asymptotics-for-kernel-ridge-regression-under-p.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-between-the-peaks-sharp-asymptotics-for-kernel-ridge-regression-under-p.html", "arxiv_url": "https://arxiv.org/abs/2608.28564v1" }, { "category": "cs.LG", "position_in_category": 204, "category_size": 215, "title": "Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining: the #204 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/advancing-interaction-sensitive-feature-selection-novel-relief-based-algorithms-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/advancing-interaction-sensitive-feature-selection-novel-relief-based-algorithms-.html", "arxiv_url": "https://arxiv.org/abs/2608.28552v1" }, { "category": "cs.LG", "position_in_category": 205, "category_size": 215, "title": "DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merging", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merging: the #205 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/darts-decoder-aware-representation-tuning-via-surgery-for-model-merging.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/darts-decoder-aware-representation-tuning-via-surgery-for-model-merging.html", "arxiv_url": "https://arxiv.org/abs/2608.28547v1" }, { "category": "cs.LG", "position_in_category": 206, "category_size": 215, "title": "REPLICANT: Learning Policies for Evading and Hardening Malware Detectors", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "REPLICANT: Learning Policies for Evading and Hardening Malware Detectors: the #206 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/replicant-learning-policies-for-evading-and-hardening-malware-detectors.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/replicant-learning-policies-for-evading-and-hardening-malware-detectors.html", "arxiv_url": "https://arxiv.org/abs/2608.28499v1" }, { "category": "cs.LG", "position_in_category": 207, "category_size": 215, "title": "Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents: the #207 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/acquire-repair-preserve-a-diagnosis-guided-post-training-recipe-for-small-model-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/acquire-repair-preserve-a-diagnosis-guided-post-training-recipe-for-small-model-.html", "arxiv_url": "https://arxiv.org/abs/2608.28458v1" }, { "category": "cs.LG", "position_in_category": 208, "category_size": 215, "title": "Generalized Splines and Gaussian Processes", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Generalized Splines and Gaussian Processes: the #208 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/generalized-splines-and-gaussian-processes.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/generalized-splines-and-gaussian-processes.html", "arxiv_url": "https://arxiv.org/abs/2608.28446v1" }, { "category": "cs.LG", "position_in_category": 209, "category_size": 215, "title": "Sliding-window beats linear attention", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Sliding-window beats linear attention: the #209 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sliding-window-beats-linear-attention.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/sliding-window-beats-linear-attention.html", "arxiv_url": "https://arxiv.org/abs/2608.28444v1" }, { "category": "cs.LG", "position_in_category": 210, "category_size": 215, "title": "Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining: the #210 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/curvature-conditioned-multiscale-momentum-with-sphere-constraints-for-llm-pretra.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/curvature-conditioned-multiscale-momentum-with-sphere-constraints-for-llm-pretra.html", "arxiv_url": "https://arxiv.org/abs/2608.28442v1" }, { "category": "cs.LG", "position_in_category": 211, "category_size": 215, "title": "Euclidean Fourier Neural Operators", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Euclidean Fourier Neural Operators: the #211 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/euclidean-fourier-neural-operators.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/euclidean-fourier-neural-operators.html", "arxiv_url": "https://arxiv.org/abs/2608.28425v1" }, { "category": "cs.LG", "position_in_category": 212, "category_size": 215, "title": "SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data: the #212 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/symbollm-fe-llm-accelerated-symbolic-regression-for-automated-feature-engineerin.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/symbollm-fe-llm-accelerated-symbolic-regression-for-automated-feature-engineerin.html", "arxiv_url": "https://arxiv.org/abs/2608.28408v1" }, { "category": "cs.LG", "position_in_category": 213, "category_size": 215, "title": "Post-Training VLMs for Video Mistake Detection", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Post-Training VLMs for Video Mistake Detection: the #213 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/post-training-vlms-for-video-mistake-detection.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/post-training-vlms-for-video-mistake-detection.html", "arxiv_url": "https://arxiv.org/abs/2608.28406v1" }, { "category": "cs.LG", "position_in_category": 214, "category_size": 215, "title": "Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation: the #214 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/timing-aware-repurchase-prediction-for-web-scale-e-commerce-survival-models-for-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/timing-aware-repurchase-prediction-for-web-scale-e-commerce-survival-models-for-.html", "arxiv_url": "https://arxiv.org/abs/2608.28393v1" }, { "category": "cs.LG", "position_in_category": 215, "category_size": 215, "title": "Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clients: the #215 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quantum-federated-learning-based-on-bures-uhlmann-geometry-for-heterogeneous-noi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/quantum-federated-learning-based-on-bures-uhlmann-geometry-for-heterogeneous-noi.html", "arxiv_url": "https://arxiv.org/abs/2608.28379v1" }, { "category": "cs.CV", "position_in_category": 224, "category_size": 237, "title": "SignRR: Retrieve and Refine Real Motion for Sign Language Production", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "SignRR: Retrieve and Refine Real Motion for Sign Language Production: the #224 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/signrr-retrieve-and-refine-real-motion-for-sign-language-production.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/signrr-retrieve-and-refine-real-motion-for-sign-language-production.html", "arxiv_url": "https://arxiv.org/abs/2608.28568v1" }, { "category": "cs.CV", "position_in_category": 225, "category_size": 237, "title": "GeBDA: Building Damage Assessment as Text-Based Sequence Prediction", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "GeBDA: Building Damage Assessment as Text-Based Sequence Prediction: the #225 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gebda-building-damage-assessment-as-text-based-sequence-prediction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/gebda-building-damage-assessment-as-text-based-sequence-prediction.html", "arxiv_url": "https://arxiv.org/abs/2608.28567v1" }, { "category": "cs.CV", "position_in_category": 226, "category_size": 237, "title": "Learning the Target Priors Before Image Translation: A Decoupled Training Paradigm for Cross-Modal Image Translation in Remote Sensing", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Learning the Target Priors Before Image Translation: A Decoupled Training Paradigm for Cross-Modal Image Translation in Remote Sensing: the #226 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-the-target-priors-before-image-translation-a-decoupled-training-paradig.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-the-target-priors-before-image-translation-a-decoupled-training-paradig.html", "arxiv_url": "https://arxiv.org/abs/2608.28517v1" }, { "category": "cs.CV", "position_in_category": 227, "category_size": 237, "title": "LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation: the #227 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/layerrecall-a-state-conditioned-memory-router-for-long-horizon-consistency-in-vi.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/layerrecall-a-state-conditioned-memory-router-for-long-horizon-consistency-in-vi.html", "arxiv_url": "https://arxiv.org/abs/2608.28460v1" }, { "category": "cs.CV", "position_in_category": 228, "category_size": 237, "title": "Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT: the #228 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/prompt-guided-interactive-segmentation-of-interstitial-lung-disease-in-thoracic-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/prompt-guided-interactive-segmentation-of-interstitial-lung-disease-in-thoracic-.html", "arxiv_url": "https://arxiv.org/abs/2608.28453v1" }, { "category": "cs.CV", "position_in_category": 229, "category_size": 237, "title": "Lossy Event Compression: From Event Stream Distortion to Task Performance", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Lossy Event Compression: From Event Stream Distortion to Task Performance: the #229 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lossy-event-compression-from-event-stream-distortion-to-task-performance.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/lossy-event-compression-from-event-stream-distortion-to-task-performance.html", "arxiv_url": "https://arxiv.org/abs/2608.28429v1" }, { "category": "cs.CV", "position_in_category": 230, "category_size": 237, "title": "How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models: the #230 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-far-can-5-500-hours-of-driving-take-you-a-scaling-law-analysis-of-video-diff.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-far-can-5-500-hours-of-driving-take-you-a-scaling-law-analysis-of-video-diff.html", "arxiv_url": "https://arxiv.org/abs/2608.28404v1" }, { "category": "cs.CV", "position_in_category": 231, "category_size": 237, "title": "GraspHOI: Full-Body 3D Human-Object Reconstruction with Finger-Level Grasps from a Single In-the-Wild Image", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "GraspHOI: Full-Body 3D Human-Object Reconstruction with Finger-Level Grasps from a Single In-the-Wild Image: the #231 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/grasphoi-full-body-3d-human-object-reconstruction-with-finger-level-grasps-from-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/grasphoi-full-body-3d-human-object-reconstruction-with-finger-level-grasps-from-.html", "arxiv_url": "https://arxiv.org/abs/2608.28386v1" }, { "category": "cs.CV", "position_in_category": 232, "category_size": 237, "title": "Real-Time Musculoskeletal Surrogates for Pediatric Cerebral Palsy: a Credibility Pilot", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Real-Time Musculoskeletal Surrogates for Pediatric Cerebral Palsy: a Credibility Pilot: the #232 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/real-time-musculoskeletal-surrogates-for-pediatric-cerebral-palsy-a-credibility-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/real-time-musculoskeletal-surrogates-for-pediatric-cerebral-palsy-a-credibility-.html", "arxiv_url": "https://arxiv.org/abs/2608.28371v1" }, { "category": "cs.CV", "position_in_category": 233, "category_size": 237, "title": "Denoising-Aware Temporal Point Cloud Completion for 3D Crop Architecture Recovery and Phenotypic Trait Extraction", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Denoising-Aware Temporal Point Cloud Completion for 3D Crop Architecture Recovery and Phenotypic Trait Extraction: the #233 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/denoising-aware-temporal-point-cloud-completion-for-3d-crop-architecture-recover.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/denoising-aware-temporal-point-cloud-completion-for-3d-crop-architecture-recover.html", "arxiv_url": "https://arxiv.org/abs/2608.28343v1" }, { "category": "cs.CV", "position_in_category": 234, "category_size": 237, "title": "Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging: the #234 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cross-spectral-dense-correspondence-for-multimodal-spectral-medical-imaging.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cross-spectral-dense-correspondence-for-multimodal-spectral-medical-imaging.html", "arxiv_url": "https://arxiv.org/abs/2608.28341v1" }, { "category": "cs.CV", "position_in_category": 235, "category_size": 237, "title": "Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art: the #235 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/abstract4d-a-large-scale-dataset-and-framework-for-understanding-the-visual-lang.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/abstract4d-a-large-scale-dataset-and-framework-for-understanding-the-visual-lang.html", "arxiv_url": "https://arxiv.org/abs/2608.28339v1" }, { "category": "cs.CV", "position_in_category": 236, "category_size": 237, "title": "Conditional Visual Evidence Utility: State-Dependent Rank Reversals in Frozen Vision-Language Encoders", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Conditional Visual Evidence Utility: State-Dependent Rank Reversals in Frozen Vision-Language Encoders: the #236 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/conditional-visual-evidence-utility-state-dependent-rank-reversals-in-frozen-vis.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/conditional-visual-evidence-utility-state-dependent-rank-reversals-in-frozen-vis.html", "arxiv_url": "https://arxiv.org/abs/2608.28316v1" }, { "category": "cs.CV", "position_in_category": 237, "category_size": 237, "title": "AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning: the #237 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/aim-anchor-identity-features-then-match-for-multimodal-large-language-model-unle.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/aim-anchor-identity-features-then-match-for-multimodal-large-language-model-unle.html", "arxiv_url": "https://arxiv.org/abs/2608.28312v1" }, { "category": "cs.CL", "position_in_category": 171, "category_size": 186, "title": "A Formal Limitation on Learning Human Language From Textual Corpora", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "A Formal Limitation on Learning Human Language From Textual Corpora: the #171 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-formal-limitation-on-learning-human-language-from-textual-corpora.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-formal-limitation-on-learning-human-language-from-textual-corpora.html", "arxiv_url": "https://arxiv.org/abs/2608.28560v1" }, { "category": "cs.CL", "position_in_category": 172, "category_size": 186, "title": "Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation: the #172 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/phoneme-and-word-level-metrics-using-self-supervised-speech-representations-for-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/phoneme-and-word-level-metrics-using-self-supervised-speech-representations-for-.html", "arxiv_url": "https://arxiv.org/abs/2608.28508v1" }, { "category": "cs.CL", "position_in_category": 173, "category_size": 186, "title": "Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine Translation", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine Translation: the #173 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ladders-in-chaos-when-how-and-perhaps-why-does-test-time-scaling-improve-llm-mac.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/ladders-in-chaos-when-how-and-perhaps-why-does-test-time-scaling-improve-llm-mac.html", "arxiv_url": "https://arxiv.org/abs/2608.28496v1" }, { "category": "cs.CL", "position_in_category": 174, "category_size": 186, "title": "Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge: the #174 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/blind-men-and-the-elephant-probing-the-epistemic-myopia-of-llms-under-long-tail-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/blind-men-and-the-elephant-probing-the-epistemic-myopia-of-llms-under-long-tail-.html", "arxiv_url": "https://arxiv.org/abs/2608.28478v1" }, { "category": "cs.CL", "position_in_category": 175, "category_size": 186, "title": "ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RL", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RL: the #175 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/contextpilot-teaching-agents-for-proactive-context-management-via-fine-grained-r.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/contextpilot-teaching-agents-for-proactive-context-management-via-fine-grained-r.html", "arxiv_url": "https://arxiv.org/abs/2608.28476v1" }, { "category": "cs.CL", "position_in_category": 176, "category_size": 186, "title": "Stranger, Fan, or Peer? A Systematic Study on the Role of Interlocutor in Persona-Based Dialogue Generation", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Stranger, Fan, or Peer? A Systematic Study on the Role of Interlocutor in Persona-Based Dialogue Generation: the #176 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/stranger-fan-or-peer-a-systematic-study-on-the-role-of-interlocutor-in-persona-b.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/stranger-fan-or-peer-a-systematic-study-on-the-role-of-interlocutor-in-persona-b.html", "arxiv_url": "https://arxiv.org/abs/2608.28467v1" }, { "category": "cs.CL", "position_in_category": 177, "category_size": 186, "title": "Fidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet Extraction", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Fidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet Extraction: the #177 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fidelity-is-not-enough-dispatch-level-instrumentation-for-agentic-datasheet-extr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/fidelity-is-not-enough-dispatch-level-instrumentation-for-agentic-datasheet-extr.html", "arxiv_url": "https://arxiv.org/abs/2608.28439v1" }, { "category": "cs.CL", "position_in_category": 178, "category_size": 186, "title": "Are These Modules Worth Their Cost? A Paradigm-Level Accuracy-Cost Analysis of In-context Learning Text-to-SQL", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Are These Modules Worth Their Cost? A Paradigm-Level Accuracy-Cost Analysis of In-context Learning Text-to-SQL: the #178 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/are-these-modules-worth-their-cost-a-paradigm-level-accuracy-cost-analysis-of-in.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/are-these-modules-worth-their-cost-a-paradigm-level-accuracy-cost-analysis-of-in.html", "arxiv_url": "https://arxiv.org/abs/2608.28432v1" }, { "category": "cs.CL", "position_in_category": 179, "category_size": 186, "title": "A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring: the #179 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-unified-framework-to-elicit-structured-feedback-for-interpretable-multi-trait-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/a-unified-framework-to-elicit-structured-feedback-for-interpretable-multi-trait-.html", "arxiv_url": "https://arxiv.org/abs/2608.28407v1" }, { "category": "cs.CL", "position_in_category": 180, "category_size": 186, "title": "CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia: the #180 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cultureconverse-a-multilingual-multi-turn-simulation-harness-for-culturally-grou.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cultureconverse-a-multilingual-multi-turn-simulation-harness-for-culturally-grou.html", "arxiv_url": "https://arxiv.org/abs/2608.28405v1" }, { "category": "cs.CL", "position_in_category": 181, "category_size": 186, "title": "BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence: the #181 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beacon-behavior-anchored-cross-source-knowledge-graph-construction-for-cyber-thr.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/beacon-behavior-anchored-cross-source-knowledge-graph-construction-for-cyber-thr.html", "arxiv_url": "https://arxiv.org/abs/2608.28394v1" }, { "category": "cs.CL", "position_in_category": 182, "category_size": 186, "title": "CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents: the #182 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/camodocs-a-poisoning-attack-against-retrieval-augmented-language-models-using-ca.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/camodocs-a-poisoning-attack-against-retrieval-augmented-language-models-using-ca.html", "arxiv_url": "https://arxiv.org/abs/2608.28389v1" }, { "category": "cs.CL", "position_in_category": 183, "category_size": 186, "title": "Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs: the #183 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semantic-head-specialization-guides-hybrid-vit-attention-for-multimodal-llms.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/semantic-head-specialization-guides-hybrid-vit-attention-for-multimodal-llms.html", "arxiv_url": "https://arxiv.org/abs/2608.28383v1" }, { "category": "cs.CL", "position_in_category": 184, "category_size": 186, "title": "When Linguistic and Internal Confidence Diverge in Large Language Models", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "When Linguistic and Internal Confidence Diverge in Large Language Models: the #184 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-linguistic-and-internal-confidence-diverge-in-large-language-models.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-linguistic-and-internal-confidence-diverge-in-large-language-models.html", "arxiv_url": "https://arxiv.org/abs/2608.28382v1" }, { "category": "cs.CL", "position_in_category": 185, "category_size": 186, "title": "PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems: the #185 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/personaforge-realistic-multi-turn-user-simulation-for-agentic-systems.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/personaforge-realistic-multi-turn-user-simulation-for-agentic-systems.html", "arxiv_url": "https://arxiv.org/abs/2608.28378v1" }, { "category": "cs.CL", "position_in_category": 186, "category_size": 186, "title": "BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla: the #186 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/banglamed-qa-a-question-answering-system-for-healthcare-support-in-bangla.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/banglamed-qa-a-question-answering-system-for-healthcare-support-in-bangla.html", "arxiv_url": "https://arxiv.org/abs/2608.28329v1" }, { "category": "cs.AI", "position_in_category": 281, "category_size": 300, "title": "Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning: the #281 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/aero-hand-open-a-simulation-ready-tendon-driven-hand-for-dexterous-manipulation-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/aero-hand-open-a-simulation-ready-tendon-driven-hand-for-dexterous-manipulation-.html", "arxiv_url": "https://arxiv.org/abs/2608.28578v1" }, { "category": "cs.AI", "position_in_category": 282, "category_size": 300, "title": "Learning a Size-Weight Frontier for Synthetic-Augmented Inference", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Learning a Size-Weight Frontier for Synthetic-Augmented Inference: the #282 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learning-a-size-weight-frontier-for-synthetic-augmented-inference.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/learning-a-size-weight-frontier-for-synthetic-augmented-inference.html", "arxiv_url": "https://arxiv.org/abs/2608.28576v1" }, { "category": "cs.AI", "position_in_category": 283, "category_size": 300, "title": "Blog: Survey of Optimizers", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Blog: Survey of Optimizers: the #283 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/blog-survey-of-optimizers.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/blog-survey-of-optimizers.html", "arxiv_url": "https://arxiv.org/abs/2608.28557v1" }, { "category": "cs.AI", "position_in_category": 284, "category_size": 300, "title": "Logos: An Agent Harness on a Cross-Process Bus", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Logos: An Agent Harness on a Cross-Process Bus: the #284 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/logos-an-agent-harness-on-a-cross-process-bus.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/logos-an-agent-harness-on-a-cross-process-bus.html", "arxiv_url": "https://arxiv.org/abs/2608.28553v1" }, { "category": "cs.AI", "position_in_category": 285, "category_size": 300, "title": "Video Generative Models as Geometry Learner", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Video Generative Models as Geometry Learner: the #285 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/video-generative-models-as-geometry-learner.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/video-generative-models-as-geometry-learner.html", "arxiv_url": "https://arxiv.org/abs/2608.28549v1" }, { "category": "cs.AI", "position_in_category": 286, "category_size": 300, "title": "An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models: the #286 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/an-enclosed-mode-is-a-gauge-choice-topology-relative-to-reach-in-certified-code-.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/an-enclosed-mode-is-a-gauge-choice-topology-relative-to-reach-in-certified-code-.html", "arxiv_url": "https://arxiv.org/abs/2608.28541v1" }, { "category": "cs.AI", "position_in_category": 287, "category_size": 300, "title": "InstructMesh: Selective Refinement of Generative 3D Models for Fabrication", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "InstructMesh: Selective Refinement of Generative 3D Models for Fabrication: the #287 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/instructmesh-selective-refinement-of-generative-3d-models-for-fabrication.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/instructmesh-selective-refinement-of-generative-3d-models-for-fabrication.html", "arxiv_url": "https://arxiv.org/abs/2608.28534v1" }, { "category": "cs.AI", "position_in_category": 288, "category_size": 300, "title": "Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks: the #288 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/texture-image-classification-using-dwt-alexnet-feature-fusion-and-deep-neural-ne.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/texture-image-classification-using-dwt-alexnet-feature-fusion-and-deep-neural-ne.html", "arxiv_url": "https://arxiv.org/abs/2608.28524v1" }, { "category": "cs.AI", "position_in_category": 289, "category_size": 300, "title": "When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI: the #289 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-robots-mishear-us-mapping-the-safety-risks-of-voice-controlled-embodied-ai.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/when-robots-mishear-us-mapping-the-safety-risks-of-voice-controlled-embodied-ai.html", "arxiv_url": "https://arxiv.org/abs/2608.28518v1" }, { "category": "cs.AI", "position_in_category": 290, "category_size": 300, "title": "Conformal Uncertainty Quantification Guarantees for Neural Operators", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Conformal Uncertainty Quantification Guarantees for Neural Operators: the #290 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/conformal-uncertainty-quantification-guarantees-for-neural-operators.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/conformal-uncertainty-quantification-guarantees-for-neural-operators.html", "arxiv_url": "https://arxiv.org/abs/2608.28515v1" }, { "category": "cs.AI", "position_in_category": 291, "category_size": 300, "title": "Training Communication-Efficient Mixture-of-Experts Language Models with Layer Re-Configuration", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Training Communication-Efficient Mixture-of-Experts Language Models with Layer Re-Configuration: the #291 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/training-communication-efficient-mixture-of-experts-language-models-with-layer-r.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/training-communication-efficient-mixture-of-experts-language-models-with-layer-r.html", "arxiv_url": "https://arxiv.org/abs/2608.28511v1" }, { "category": "cs.AI", "position_in_category": 292, "category_size": 300, "title": "On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin Marketplaces", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin Marketplaces: the #292 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/on-the-maintenance-and-co-evolution-of-agent-plugins-an-empirical-study-of-claud.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/on-the-maintenance-and-co-evolution-of-agent-plugins-an-empirical-study-of-claud.html", "arxiv_url": "https://arxiv.org/abs/2608.28497v1" }, { "category": "cs.AI", "position_in_category": 293, "category_size": 300, "title": "AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction: the #293 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/acrossvam1-0-particle-world-modeling-for-text-assisted-robot-video-prediction.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/acrossvam1-0-particle-world-modeling-for-text-assisted-robot-video-prediction.html", "arxiv_url": "https://arxiv.org/abs/2608.28491v1" }, { "category": "cs.AI", "position_in_category": 294, "category_size": 300, "title": "LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment: the #294 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-based-agents-for-software-and-systems-security-approaches-applications-and-a.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/llm-based-agents-for-software-and-systems-security-approaches-applications-and-a.html", "arxiv_url": "https://arxiv.org/abs/2608.28490v1" }, { "category": "cs.AI", "position_in_category": 295, "category_size": 300, "title": "How Proper Scoring Rules Shape LLM Forecasting", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "How Proper Scoring Rules Shape LLM Forecasting: the #295 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/how-proper-scoring-rules-shape-llm-forecasting.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/how-proper-scoring-rules-shape-llm-forecasting.html", "arxiv_url": "https://arxiv.org/abs/2608.28482v1" }, { "category": "cs.AI", "position_in_category": 296, "category_size": 300, "title": "NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometry", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometry: the #296 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nl2agbench-benchmarking-llm-auto-formalization-for-alphageometry.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/nl2agbench-benchmarking-llm-auto-formalization-for-alphageometry.html", "arxiv_url": "https://arxiv.org/abs/2608.28481v1" }, { "category": "cs.AI", "position_in_category": 297, "category_size": 300, "title": "COVER: Identifiable Evaluation of Coalition Routing", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "COVER: Identifiable Evaluation of Coalition Routing: the #297 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cover-identifiable-evaluation-of-coalition-routing.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/cover-identifiable-evaluation-of-coalition-routing.html", "arxiv_url": "https://arxiv.org/abs/2608.28475v1" }, { "category": "cs.AI", "position_in_category": 298, "category_size": 300, "title": "Real-time virtual circuits for plasma shape control via neural network emulators: experimental demonstration on MAST Upgrade", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Real-time virtual circuits for plasma shape control via neural network emulators: experimental demonstration on MAST Upgrade: the #298 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/real-time-virtual-circuits-for-plasma-shape-control-via-neural-network-emulators.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/real-time-virtual-circuits-for-plasma-shape-control-via-neural-network-emulators.html", "arxiv_url": "https://arxiv.org/abs/2608.28468v1" }, { "category": "cs.AI", "position_in_category": 299, "category_size": 300, "title": "Anatomy-Aware Promptable Segmentation with Online Interactive Training for AUTOPET V", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "Anatomy-Aware Promptable Segmentation with Online Interactive Training for AUTOPET V: the #299 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/anatomy-aware-promptable-segmentation-with-online-interactive-training-for-autop.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/anatomy-aware-promptable-segmentation-with-online-interactive-training-for-autop.html", "arxiv_url": "https://arxiv.org/abs/2608.28461v1" }, { "category": "cs.AI", "position_in_category": 300, "category_size": 300, "title": "ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT", "published": "2026-08-28", "recorded_on": "2026-09-01", "citation": "ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT: the #300 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/arc-ct-anatomy-routed-contrastive-vision-language-learning-for-3d-chest-ct.html", "detail_url": "https://data.jiangzhang.ca/signals4/t/papers/arc-ct-anatomy-routed-contrastive-vision-language-learning-for-3d-chest-ct.html", "arxiv_url": "https://arxiv.org/abs/2608.28455v1" } ] }