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Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies

Paper recorded by Signals 4 on 2026-09-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-29 on arXiv · recorded by Signals 4 on 2026-09-30

Category: cs.AI · 人工智能 · first seen 2026-09-30

Abstract

Answering questions about long videos often requires connecting events involving the same objects across hours or days. Chronological descriptions and text-derived entities can leave physical identity unresolved: different objects may share a description, while observations of the same object remain disconnected across events. Retrieving relevant events therefore does not necessarily recover the "

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#4 most recent of 460 cs.AI papers we have recorded · ↑ newer: LeapQuant: Efficient Linear Attention with Accurate Recurrent State Qu · ↓ older: Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reaso
Cite this page: Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies: the #4 most recent of 460 cs.AI papers we have recorded (as of 2026-09-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-the-timeline-augmenting-long-video-memory-with-grounded-entity-biographie.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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