Study Finds Erasing an Agent's Error History Can Backfire When Errors Persist
A new arXiv paper examines tool-using language-model agents that accumulate records of their own mistakes, finding that systems which compact, repair, or hand off such histories make consequential choices about what to preserve.
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- 2026-11-13 05:00 · arXiv cs.AI
Cleaning an Agent's History Hurts When the World Still Holds the Error