mlsanityData to 7 Oct 2026

HepLean: Digitalising high energy physics

arXiv 2405.08863 ↗First posted 14 May 2024hep-ph cs.LO hep-thcited by 10

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Abstract (arXiv)

We introduce HepLean, an open-source project to digitalise definitions, theorems, proofs, and calculations in high energy physics using the interactive theorem prover Lean 4. HepLean has the potential to benefit the high energy physics community in four ways: making it easier to find existing results, allowing the creation of new results using artificial intelligence and automated methods, allowing easy review of papers for mathematical correctness, and providing new ways to teach high energy physics. We will discuss these in detail. We will also demonstrate the digitalisation of three areas of high energy physics in HepLean: Cabibbo-Kobayashi-Maskawa matrices in flavour physics, local anomaly cancellation, and Higgs physics.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 May 2024.

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Citing papers per year: 2024: 1; 2025: 3; 2026: 6.

10 papers.