SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent 事件

SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent arXiv:2605.24468v1 Announce Type: new Abstract: Long-horizon agentic reasoning requires large language models to act over long interaction histories containing thoughts, tool calls, observations, and partial conclusions. The challenge is not merely that these histories grow long, but that information needed for the current decision may be scattered across distant steps and only become relevant later. Existing approaches address this di