Yan Wang, Zhen Bi, Xueshu Chen, Jungang Lou, Zihao Xue, Zhenfang Liu, Jiefu Li, Jayden Chen
We have not lifted any functions out of this paper's repositories yet, so there is nothing we have run. The repositories linked to it are listed below.
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Long-horizon tasks require preserving and later recovering cross-session evidence under a bounded, query-blind memory budget. Existing compression can discard fine-grained visual cues or conflate semantically similar but incompatible observations. We present C3M, a cross-session multimodal memory organization that maintains a bounded active index over persistent source text-image evidence. Relation-aware updates consolidate safe redundancy while preserving complementary and incompatible records. At query time, budgeted routing selects useful index pages and expands their associated source evidence under a fixed reader budget. Together, these mechanisms establish a compact, provenance-preserving multimodal memory organization for cross-session long-horizon tasks, retaining temporal distinctions and source links required for reliable downstream reasoning. Code is available at https://github.com/HuzhouNLP/C3M.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2609.29735")
get_code_for_paper("2609.29735")
have("2609.29735")
The run record, dated, one paper per request, free:
curl https://syntology.ai/api/ran/2609.29735.json
A badge for a README (the split and the date, never a ratio):
[](https://syntology.ai/paper/2609.29735)
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