Agentic LLM framework autoformalizes 32 Putnam problems and main theorems plus proofs from five STOC papers into Lean 4, with two proofs using only kernel axioms.
arXiv preprint arXiv:2510.06857 , year=
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The signal-coverage matrix stratifies autoformalization outputs into true success, type-only, semantic-only, and both-fail cells, showing type-correctness gains are mostly type-stratum recovery with semantic errors largely unchanged.
OProver-32B achieves top Pass@32 scores on MiniF2F, ProverBench, and PutnamBench by combining continued pretraining with iterative agentic proving, retrieval, SFT on repairs, and RL on unresolved cases using a 6.86M-proof dataset.
citing papers explorer
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The Signal-Coverage Matrix: Stratifying Type and Semantic Errors in Statement Autoformalization
The signal-coverage matrix stratifies autoformalization outputs into true success, type-only, semantic-only, and both-fail cells, showing type-correctness gains are mostly type-stratum recovery with semantic errors largely unchanged.
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OProver: A Unified Framework for Agentic Formal Theorem Proving
OProver-32B achieves top Pass@32 scores on MiniF2F, ProverBench, and PutnamBench by combining continued pretraining with iterative agentic proving, retrieval, SFT on repairs, and RL on unresolved cases using a 6.86M-proof dataset.