ProofNet++ reports that combining verifier-in-the-loop reinforcement learning with iterative self-correction achieves 63.5-74.9% success on three formal theorem-proving benchmarks, but the evidence is insufficient to support the claim.
Isabelle/HOL — A Proof Assistant for Higher-Order Logic,
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ProofNet++: A Neuro-Symbolic System for Formal Proof Verification with Self-Correction
ProofNet++ reports that combining verifier-in-the-loop reinforcement learning with iterative self-correction achieves 63.5-74.9% success on three formal theorem-proving benchmarks, but the evidence is insufficient to support the claim.