When Can Agents Forget Their Reasoning? ICLR for Long-Horizon Agent Context Compression.
arXiv:2609.29875v1 Announce Type: new Abstract: Long horizon language model agents continually accumulate reasoning history, increasing context length and inference cost even after earlier decisions have been executed and observed. Unlike static Chain of Thoug
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