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A Purdue paper introduces a bounded, online step-level repair module for Lean 4 theorem provers that feeds compiler error messages to a pretrained repair model instead of discarding failed tactics, achieving up to a 32% relative gain in solve rate on the LeanDojo benchmark and nearly doubling performance on Lean Workbook.
The paper introduces a minimal-core-guided repair method for neuro-symbolic constraint solving, where language models use proofs from unsatisfiable cores to correct translation errors, reducing fabrication in solutions.