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C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks

arXiv cs.AI LLM Agents Xueshu Chen, Yan Wang, Zihao Xue, Jiefu Li, Zhenfang Liu, Jayden Chen, Zhen Bi, Jungang Lou 2026-09-24
Representative image for C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks

TL;DR - C3M is a bounded multimodal memory system for long-horizon, cross-session tasks that preserves source text-image evidence and provenance. It aims to prevent compression from erasing visual details or merging observations that appear similar but are incompatible.

  • Maintains a compact active index linked to persistent source evidence.
  • Uses relation-aware updates to merge safe redundancies while retaining complementary or conflicting records.
  • Routes queries to relevant index pages, then expands linked evidence within a fixed reader budget.
  • Preserves temporal distinctions and source links needed for reliable downstream reasoning.

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