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Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis

Gajjar, Jugal
arXiv (All) · Papers
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cryptography-and-securitymachine-learningprogramming-languagessoftware-engineering
Learned classifiers deployed in agentic pipelines face a fundamental reliability problem: predictions are probabilistic inferences, not verified conclusions, and acting on them without grounding in observable evidence leads to compounding failures across downstream stages. Software vulnerability ana
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