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From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents

Paper recorded by Signals 4 on 2026-08-31 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CV · 计算机视觉 · first seen 2026-09-01

Abstract

Existing long-video agents acquire evidence through one uniform behavior, ignoring whether the required evidence is concentrated, requires broad occurrence coverage, or must discriminate competing hypotheses---which can cause failure before substantive reasoning begins. Prescribing a fine-grained solution procedure for every question is not a satisfactory remedy, as it restricts autonomous explora

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#204 most recent of 237 cs.CV papers we have recorded · ↑ newer: SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting · ↓ older: DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Pe
Cite this page: 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
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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