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This paper details a workflow where AI agents, guided by human milestones, assisted in formalizing the Poincaré conjecture within the Lean 4 theorem prover. The study highlights how structured agent collaboration can manage complex geometric analysis tasks and build reusable infrastructure for future mathematical verification.
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An AI-Assisted Formalization of the Poincar\'e Conjecture

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arXiv:2610.08329v1 Announce Type: new Abstract: We present an AI-assisted Lean 4 formalization of the Poincar\'e conjecture. The project began with limited reusable formal infrastructure for the geometric analysis behind the proof. To organize this work, we combined a proof blueprint prepared by mathematicians with explicit milestone statements. These milestones enabled parallel agent work and gave mathematicians clear points to locate blockers and provide effective mathematical guidance. Our analysis identifies the human interventions and organizational choices behind this workflow. The project provides a starting point toward reusable infrastructure for future formalization projects; such infrastructure, once developed, could eventually reduce the cost of verifying mathematical results in geometric analysis.

Abstract:We present an AI-assisted Lean 4 formalization of the Poincaré conjecture. The project began with limited reusable formal infrastructure for the geometric analysis behind the proof. To organize this work, we combined a proof blueprint prepared by mathematicians with explicit milestone statements. These milestones enabled parallel agent work and gave mathematicians clear points to locate blockers and provide effective mathematical guidance. Our analysis identifies the human interventions and organizational choices behind this workflow. The project provides a starting point toward reusable infrastructure for future formalization projects; such infrastructure, once developed, could eventually reduce the cost of verifying mathematical results in geometric analysis.

15 pages, 2 figures. Code: this https URL

Artificial Intelligence (cs.AI); Geometric Topology (math.GT)

arXiv:2610.08329 [cs.AI]

(or arXiv:2610.08329v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.08329 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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