The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The Lean Theorem Prover (System Description)
Open accessAbstract
Lean is a new open source theorem prover being developed at Microsoft Research and Carnegie Mellon University, with a small trusted kernel based on dependent type theory. It aims to bridge the gap between interactive and automated theorem proving, by situating automated tools and methods in a framework that supports user interaction and the construction of fully specified axiomatic proofs. Lean is an ongoing and long-term effort, but it already provides many useful components, integrated development environments, and a rich API which can be used to embed it into other systems. It is currently being used to formalize category theory, homotopy type theory, and abstract algebra. We describe the project goals, system architecture, and main features, and we discuss applications and continuing work.
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Cited by
The Lean 4 Theorem Prover and Programming Language
Moura, L. D., & Ullrich, S. (2021) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-79876-5_37 · Cited by 258
Self-citationSTaR: Bootstrapping Reasoning With Reasoning
Zelikman, E., Wu, Y., Mu, J., & Goodman, N. D. (2022) · arXiv · doi:10.48550/arxiv.2203.14465 · Cited by 182
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
Pan, L., Albalak, A., Wang, X., & Wang, W. Y. (2023) · arXiv · doi:10.48550/arxiv.2305.12295 · Cited by 144
“These works demonstrate the proficiency of LLMs in translating a considerable fraction of mathematical problems into formal specifications defined in tools like SymPy (Meurer et al., 2017), Isabelle/HOL (Paulson, 1994), and Lean (de Moura et al., 2015).”
BackgroundMethodINT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Wu, Y., Jiang, A. Q., Ba, J., & Grosse, R. (2020) · arXiv · doi:10.48550/arxiv.2007.02924 · Cited by 30
Maintaining a Library of Formal Mathematics
van Doorn, F., Ebner, G., & Lewis, R. Y. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-53518-6_16 · Cited by 29
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Metadata
- Authors
- de Moura, L., Kong, S., Avigad, J., van Doorn, F., & von Raumer, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 378-388
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1464569014
- Cited by
- 416
- References
- 12
- FWCI
- 9.85
- Type
- conference paper
- Language
- en
- Open access
- green
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