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This paper introduces decision-checkpoint auditing, a trajectory-level measurement method that classifies scientific-search agent failures into target exposure, inspection, and answer correctness stages, finding that keyword search and read-first policies achieve identical 24.6% accuracy despite differing failure distributions on AutoResearchBench Deep.