Lean 4 formalization of Intrinsic Uniqueness and Reconstruction Across Mathematical Presentations
See the codeFormal mathematical sources, Lean 4 verification, reconstruction audits, and publication files accompanying:
Alex Albert, Intrinsic Uniqueness and Reconstruction Across Mathematical Presentations
paper/ — publication source and compiled PDF.lean/ — Lean 4 formalization.audits/ — reconstruction, dependency, formalization, and axiom-audit records.scripts/ — publication and reproducibility utilities.The paper supplies mathematical proofs; the Lean 4 development formalizes those proofs for kernel checking. Coverage statuses such as complete, partial, and missing describe the extent of that formalization, not whether the paper's results have mathematical proofs.
The formal development is organized by mathematical content.
Principal entry points:
lean/SigmaBase.lean — intrinsic algebraic and convex primitives.lean/SigmaReconstruction.lean — reconstruction from differential data.lean/SigmaPresentations.lean — exact mathematical presentations and reversible transformations.lean/SigmaFormalSeries.lean — formal power-series reconstruction.lean/SigmaCore.lean — intrinsic analytic core.lean/SigmaProbability.lean — probability presentations.lean/SigmaRealizations.lean — realization results.lean/Sigma.lean — complete umbrella module.lean/SigmaAxioms.lean — exported-declaration axiom audit.lean/Verify.py — verification entry point.Lean and mathlib versions are pinned in lean/lean-toolchain and lean/lakefile.lean.
From the repository root:
cd lean
python3 Verify.py
The verifier builds the complete Sigma import graph and evaluates the axiom audit in SigmaAxioms.lean.
Generated .olean, .ilean, .lake, and temporary build files are not part of the repository.
Publication files:
paper/intrinsic-uniqueness-reconstruction.texpaper/intrinsic-uniqueness-reconstruction.pdfSupporting section sources are retained under paper/sections/.
audits/ contains the mathematical reconstruction record and formalization audits used during verification.
53 commits
Lean
91.7%
TeX
7.3%
Python
1.1%
Lean 4 formalization of Intrinsic Uniqueness and Reconstruction Across Mathematical Presentations
See the codeFormal mathematical sources, Lean 4 verification, reconstruction audits, and publication files accompanying:
Alex Albert, Intrinsic Uniqueness and Reconstruction Across Mathematical Presentations
paper/ — publication source and compiled PDF.lean/ — Lean 4 formalization.audits/ — reconstruction, dependency, formalization, and axiom-audit records.scripts/ — publication and reproducibility utilities.The paper supplies mathematical proofs; the Lean 4 development formalizes those proofs for kernel checking. Coverage statuses such as complete, partial, and missing describe the extent of that formalization, not whether the paper's results have mathematical proofs.
The formal development is organized by mathematical content.
Principal entry points:
lean/SigmaBase.lean — intrinsic algebraic and convex primitives.lean/SigmaReconstruction.lean — reconstruction from differential data.lean/SigmaPresentations.lean — exact mathematical presentations and reversible transformations.lean/SigmaFormalSeries.lean — formal power-series reconstruction.lean/SigmaCore.lean — intrinsic analytic core.lean/SigmaProbability.lean — probability presentations.lean/SigmaRealizations.lean — realization results.lean/Sigma.lean — complete umbrella module.lean/SigmaAxioms.lean — exported-declaration axiom audit.lean/Verify.py — verification entry point.Lean and mathlib versions are pinned in lean/lean-toolchain and lean/lakefile.lean.
From the repository root:
cd lean
python3 Verify.py
The verifier builds the complete Sigma import graph and evaluates the axiom audit in SigmaAxioms.lean.
Generated .olean, .ilean, .lake, and temporary build files are not part of the repository.
Publication files:
paper/intrinsic-uniqueness-reconstruction.texpaper/intrinsic-uniqueness-reconstruction.pdfSupporting section sources are retained under paper/sections/.
audits/ contains the mathematical reconstruction record and formalization audits used during verification.
53 commits
Lean
91.7%
TeX
7.3%
Python
1.1%