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Research questionHow can large reasoning models explore complex research problems while maintaining proof rigor?Competition mathematics usually has bounded, well-specified goals, whereas frontier research requires open-ended exploration and procedural justification. The difficulty is sustaining and checking long lines of reasoning rather than merely producing plausible arguments.
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Latest papersRecent research connected to this question, newest first.AI Mathematician: Towards Fully Automated Frontier Mathematical ResearchThe source concerns an early AI Mathematician framework using large reasoning models on several real-world mathematical topics. It reports substantial portions of proofs and non-trivial insights, but does not establish fully autonomous frontier research or universal reliability.research paper · Sep 2, 2026
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How can mathematical-reasoning LLMs learn to construct counterexamples that reveal conceptual understanding?How can LLMs interleave reasoning with reliable step-level self-critique without a separate verifier?How can we quantify and reduce divergent, nonsensical reasoning in large language models?How can we tell whether LLMs follow coherent, human-like prerequisite relationships in mathematical reasoning?
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