SCOPE: Certified Theorem Proving with a Language Model as the Policy Planner

cs.AI

Submitted: 2026-10-06

Updated: 2026-10-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
• DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
• Generative Language Modeling for Automated Theorem Proving
• DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
• Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

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