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Author

Michael R. Douglas

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#artificial intelligence Review Oct 2026

Beyond LLM Judge: Mechanical Verification for Agentic Autoformalization

This work introduces a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness, and achieves the lowest accepted-error rate among the evaluated methods, measured as the fraction of incorrect statements accepted by the verification method.

Anna Mei, Michael R. Douglas · 0 citations
Review Jul 2026

Axioms for physical reasoning: codifying the Seiberg--Witten solution in Lean

Mathematicians have embraced interactive theorem provers with growing enthusiasm -- building large shared libraries and machine-checking a string of landmark results. Theoretical physics is different: most of its results are not theorems but justified by arguments the community trusts without a rigorous proof. For many...

Michael R. Douglas · 3 citations

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