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Remembering Through Change: Provenance-Preserving Hypergraph Memory for Multimodal Agents

Paper recorded by Signals 4 on 2026-10-21 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.CL · 自然语言处理 · first seen 2026-10-22

Abstract

Long-term memory for multimodal agents remains challenging, as it must preserve fine-grained visual evidence while tracking entity evolution across sessions. Existing abstraction-based memories compress images into text, often discarding visually discriminative details, whereas pixel-preserving memories retain raw observations but struggle to reliably associate diverse observations with persistent

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#182 most recent of 660 cs.CL papers we have recorded · ↑ newer: HiddenLens: A Multi-Layer LLM Framework for Detecting and Resolving Hi · ↓ older: CulturalRiddles: A Multicultural Benchmark of Riddles
Cite this page: Remembering Through Change: Provenance-Preserving Hypergraph Memory for Multimodal Agents: the #182 most recent of 660 cs.CL papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/remembering-through-change-provenance-preserving-hypergraph-memory-for-multimoda.html
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