SARC compiles constraint specifications into Pre-Action Gate, Action-Time Monitor, Post-Action Auditor, and Escalation Router components, achieving zero hard violations and 89.5% fewer soft overages than policy-as-code baselines in synthetic procurement evaluations.
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AuditRepairBench supplies a large trace corpus and four screening methods that reduce evaluator-channel ranking instability in agent repair leaderboards by a mean of 62%.
citing papers explorer
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SARC: A Governance-by-Architecture Framework for Agentic AI Systems
SARC compiles constraint specifications into Pre-Action Gate, Action-Time Monitor, Post-Action Auditor, and Escalation Router components, achieving zero hard violations and 89.5% fewer soft overages than policy-as-code baselines in synthetic procurement evaluations.
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AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair
AuditRepairBench supplies a large trace corpus and four screening methods that reduce evaluator-channel ranking instability in agent repair leaderboards by a mean of 62%.