Pseudo-Formalization for Automatic Proof Verification
Reliable verification of proofs remains a bottleneck for training and evaluating AI systems on hard mathematical reasoning. Fully formal proofs, in languages like Lean, are easy to verify because they are unambiguous and modular. Most proofs, particularly those written by AI systems, have neither property, and translating them into formal languages remains challenging in many frontier math settings. We propose Pseudo-Formalization (PF), a proof format that captures the modularity and precision of formal proofs while retaining the flexibility of natural language. A Pseudo-Formal proof is decomposed into self-contained modules, each stating its premises, conclusion, and proof in natural lan...
| Authors | Slim Barkallah, Luke Bailey, Kaiyue Wen et al. |
|---|---|
| Primary category | cs.LO |
| Published | 19 May 2026 |
| Last updated at source | 1 October 2026 |
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