A Formal Verification Framework for the Yang–Mills Mass Gap: Consensus Framework, Lean 4 and Lattice QCD

This work presents a formal verification framework for the Yang-Mills Mass Gap problem, integrating the Consensus Framework, Lean 4 formalization, and lattice QCD numerical validation. The methodology was recognized as a Global Finalist in the UN Tourism AI Challenge (2025). In this updated version (v24), we present a complete resolution of all four identified gaps (M1–M5, L1–L3), combining formal proofs, numerical simulations, and consensus-assisted validation. This achievement represents a major step towards a rigorous solution of the Yang-Mills Mass Gap, with interdisciplinary impact across mathematical physics, quantum field theory, and artificial intelligence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-20
DOI
https://doi.org/10.5281/zenodo.17427564
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

A Formal Verification Framework for the Yang–Mills Mass Gap: Consensus Framework, Lean 4 and Lattice QCD

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

A Formal Verification Framework for the Yang–Mills Mass Gap: Consensus Framework, Lean 4 and Lattice QCD

article en

Abstract

This work presents a formal verification framework for the Yang-Mills Mass Gap problem, integrating the Consensus Framework, Lean 4 formalization, and lattice QCD numerical validation. The methodology was recognized as a Global Finalist in the UN Tourism AI Challenge (2025). In this updated version (v24), we present a complete resolution of all four identified gaps (M1–M5, L1–L3), combining formal proofs, numerical simulations, and consensus-assisted validation. This achievement represents a major step towards a rigorous solution of the Yang-Mills Mass Gap, with interdisciplinary impact across mathematical physics, quantum field theory, and artificial intelligence.

Zenodo (CERN European Organization for Nuclear Research)
Smart Material (Germany) (DE)
Decent work and economic growth
Openalex Percentile: Top 27%
Scientific Computing and Data Management
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