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Memory Control Signals Emerge Before Action in Long Horizon Agents

arXiv:2609.27286v1 Announce Type: new Abstract: Long horizon language model agents continuously accumulate interaction history, increasing computational cost while making relevant information harder to preserve and reuse. Existing context management methods mainly focus on how to compress or retrie…

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  1. 2026-09-24 04:00 · arXiv cs.AI
    Memory Control Signals Emerge Before Action in Long Horizon Agents

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