Follow a result back to its evidence.

Choose a result, inspect its assumptions, then run the calculation that supports it. Each check answers a specific question. The original status and the scope of that answer stay attached.

Start with the E₈ construction.

The first module builds the lattice explicitly. It checks the glue, constructs its 240 roots and tests the lattice basis. You can read the source before running it.

Question: Does the explicit construction give the even, unimodular E₈ lattice?
What is tested: Shared ℤ₄ discriminant data; glue norms 5/4 + 3/4 = 2; 240 roots of squared length 2; an integral, even basis with determinant 1.

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This is a mathematical lattice check. Identifying that lattice with a physical system requires additional arguments and retains its own status.

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Search all 707 registered Python modules by subject, filename, claim or source section. This catalogue records source presence and links. It does not report a new execution or a passing result for every module.

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Sheet characteristic calculus

v413_sheet_characteristic_calculus.py · registry

Read the original description and evidence links

The sheet axis is a discrete characteristic-difference calculator: on M_t=C+tV (v95/v218) the elementary-symmetric coefficients encode atoms as DIFFERENCE ORDERS -- e1(t)=3t+12, e2(t)=2t^2+15t+25, e3(t)=det M_t=4t^2+14t+14 give Delta e1=3=N_fam, Delta^2 e2=4=|mu4|, Delta^2 e3=8=rank E8 (the e3 curvature cross-cited to v218/v224; the full (e1,e2,e3) ladder is new); the anchor energy a.M_t.a=52+11t (step 11=a.V.a, v410) reads 30->41->52->63=(h(E8),10 b1,dim F4,7 N_fam^2); four-row axis J,K,C,F (tr,e2,det)/a.M.a = (6,3,2)/30,(9,12,4)/41,(12,25,14)/52,(15,42,32)/63.

Read the original Python source

Linked claims: DIAMOND.SHEET.CALCULUS.01
Paper sections: Source section 1 Source section 2 Source section 3 Source section 4

Different evidence answers different questions.

A numerical calculation, a formal theorem and an experimental comparison carry different kinds of information. Follow the source appropriate to the claim.

Python calculations: Inspect the algorithm, its inputs and its negative controls. Run a browser compatible module here, or use the repository for the complete environment.Browse Python sources
Formal mathematics: Read the actual Lean statement and its assumptions. The carrier formalization has a defined mathematical scope.Inspect the Lean formalization
Independent implementation: The Wolfram implementation checks algebraic results through a separate computational path. The recorded runs report 116/116 base checks and 603/603 extension checks. This is distinct from external experimental replication.Read the Wolfram implementation
Physical comparison: Read each prediction with its freeze, conditions and failure criterion. A passing mathematical check does not decide the experimental comparison.Open the prediction register

Run the same check on your machine.

From a checkout of the repository, install its Python requirements and run the first lattice module. The complete suite is a separate step.

Set up the repository

git clone https://github.com/sthamann/tfpt.git
cd tfpt
python3 -m venv .venv
.venv/bin/pip install -r requirements.txt

Check the E₈ lattice

.venv/bin/python verification/v1_e8_glue.py

Read the individual checks and the final pass or fail result.

Run the registered suite

cd verification
../.venv/bin/python run_all.py

The full suite uses the dependencies and source context documented in the repository.

Repository setup and maintenance instructions

Read the current claim beside its source.

The research snapshot dated 2026-11-02 includes the active ledger, reviewed findings and registered scripts. It records source coverage and stated scope; it is not a new execution of every proof or calculation.

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The script index, figures and detailed research interfaces remain available below. This older technical overview preserves its original statements; use the current result inventory to follow later scope corrections.

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