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GAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function Reasoning

Paper recorded by Signals 4 on 2026-10-07 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CL · 自然语言处理 · first seen 2026-10-08

Abstract

Joint spatial-geometric and analytic function reasoning requires translating a perceived spatial configuration into a symbolic function whose executed curve satisfies geometric constraints. We present GAGR-Lab, a framework for measuring this capability through Cartesian game scenes, explicit function semantics, and authoritative Rust trajectory execution. It distinguishes spatial perception, metri

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#306 most recent of 660 cs.CL papers we have recorded · ↑ newer: From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Sh · ↓ older: The Missing Minimal Pair: Stereotype Evaluation in LLMs
Cite this page: GAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function Reasoning: the #306 most recent of 660 cs.CL papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gagr-lab-evaluating-joint-spatial-geometric-and-analytic-function-reasoning.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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