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Daniel Cieslak

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Preprint Oct 2026

Better Policies, Worse Verifier Audits

Verifier stacks increasingly sit inside post-training and test-time compute loops. We study a specific control loop: a component verifier is evaluated on fresh policy outputs against the full success label and refreshed when that aggregate score falls. For a conjunctive target $y = F \wedge M$, its on-policy AUC is $(1...

Daniel Cieslak, J. Łubiński · 0 citations

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