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arXiv — cs.AI preprintsInternational19 October 2026

Audit-First VAPO: Risk-Certified Selective Updates under Imperfect Verification

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arXiv:2609.33662v2 Announce Type: replace Abstract: Imperfect verifiers can assign a harmful update direction even when clipping and regularization bound its magnitude. We introduce Audit-First VAPO, which separates discrete directional admission from continuous magnitude control. An observation-only accept-appeal-abstain policy uses a finite secondary-verification budget; its action trace is frozen before clean labels are joined. Simultaneous finite-sample bounds then certify selected harmful risk, coverage, and verifier-call rate over a predeclared policy family. Conditional Hoeffding-Azuma
— arXiv — cs.AI preprints

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