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#artificial intelligence Preprint Oct 2026

Executable Prefix Values for Locating Agent Failures

Work on debugging LLM agents treats the"first mistake"marked by a human or LLM judge as ground truth for where a trajectory failed. We ask whether such labels point at causes or symptoms, and make the distinction executable: we restart the agent from reconstructed intermediate states of a failed trajectory and estimate...

Bingyu Shen, Jia-Qi Tang, Lan Wei et al. · 0 citations

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