Preprint
Aug 2026
Diagnosis Before Recovery: Turning Agent Failures into Selective Self-Correction
DARC is proposed, a diagnosis-guided recovery harness that profiles task-family failure modes, prunes mismatched interventions from a shared recovery library, and freezes a verifier-selected success-cost policy for deployment, providing a practical route toward more reliable agents in domains where compiler-like feedback is absent.
Pan Wang, Yihao Hu, Hang Wang et al.
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