AI RESEARCH
OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving
arXiv CS.LG
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ArXi:2604.23712v1 Announce Type: new Recent advances in formal theorem proving have focused on Olympiad-level mathematics, leaving undergraduate domains largely unexplored. Optimization, fundamental to machine learning, operations research, and scientific computing, remains underserved by existing provers. Its reliance on domain-specific formalisms (convexity, optimality conditions, and algorithmic analysis) creates significant distribution shift, making naive domain transfer ineffective.