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The Lean mathematical library
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This paper describes mathlib, a community-driven effort to build a unified library of mathematics formalized in the Lean proof assistant. Among proof assistant libraries, it is distinguished by its dependently typed foundations, focus on classical mathematics, extensive hierarchy of structures, use of large- and small-scale automation, and distributed organization. We explain the architecture and design decisions of the library and the social organization that has led us here.
Forward citations
Cited by 3 Pith papers
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Nazrin: An Atomic Neural Proof Automation Tactic in Lean 4
A finite set of atomic Lean tactics plus a transposing atomization algorithm lets a small graph neural network, Nazrin, be trained on converted proofs and prove held-out formal theorems.
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Exploring Formal Math on the Blockchain: An Explorer for Proofgold
The authors present the first web explorer for the Proofgold formal-math blockchain, including case studies of category theory formalizations.
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Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
Safe uses step-level formal verification in Lean 4, aggregated by a small LSTM and combined with process reward scores, to improve best-of-n accuracy for LLM mathematical reasoning.
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