An AI-Assisted Formalization of the Poincaré Conjecture
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.
Related
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BibTeX
@misc{zhang2026aiassisted,
title = {{An AI-Assisted Formalization of the Poincaré Conjecture}},
author = {Zhiyuan Zhang and Axel Delaval and Leheng Chen and Jinxuan Chen and Jie Xu and Yuxuan Liao and Jiedong Jiang and Chunlei Liu and Bin Dong},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.08329},
eprint = {2610.08329},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.08329},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - An AI-Assisted Formalization of the Poincaré Conjecture
AU - Zhiyuan Zhang
AU - Axel Delaval
AU - Leheng Chen
AU - Jinxuan Chen
AU - Jie Xu
AU - Yuxuan Liao
AU - Jiedong Jiang
AU - Chunlei Liu
AU - Bin Dong
PY - 2026
DA - 2026/10/06
PB - arXiv
DO - 10.48550/arxiv.2610.08329
UR - https://arxiv.org/abs/2610.08329
AB - 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.
ER -