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arXiv — cs.AI preprintsInternational5 October 2026

trajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories

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arXiv:2609.00038v2 Announce Type: replace-cross Abstract: A direct test of an LLM judge of agent trajectories injects faults into correct runs and reports recall, per fault type or by whether the fault broke the environment outcome (loud) or not (silent). Such recall can credit a judge with detection it does not have; paired discrimination, its flag rate on the faults minus its rate on the clean runs they came from, exposes this. Our testbed, a deterministic support desk with a scripted oracle and a one-step fault injector, labels all 400 trajectories exactly. A 14B judge shown only the reques
— arXiv — cs.AI preprints

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