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Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay
Failures in agentic AI systems can arise from interactions among messages exchanged by multiple large language model (LLM) agents. Pointwise attribution cannot distinguish a jointly necessary repair from alternative singleton repairs. We formulate Minimal Repair Family Recovery (MRFR): recovering al
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