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#natural language process... Preprint Sep 2026

Human-LLM Deliberation as Interactive Proof: Conditions for Verifiability Without Transparency

It is proved anytime-valid soundness against adaptive provers: the probability of ever accepting a false claim is at most a chosen error level, provided the task supplies bounds on false passes and human checking errors that remain valid after every relevant history.

Bao-Tong Zhang, D. Foster, João Sedoc · 0 citations

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