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This paper characterizes 'false success' in LLM agents, where agents claim task completion despite environment state showing otherwise, finding it accounts for 45-75% of failures across benchmarks. LLM judges fail to detect this reliably, while lightweight TF-IDF detectors achieve high AUROC with much lower latency, suggesting production monitoring should use calibrated detectors instead of LLM judges.