Every claim is anchored to the nodal equation, an operator contract, or a recorded metric — no qualitative statement is published without data. We avoid metaphysical extrapolation: this project describes mathematical and engineering results, not cosmological or philosophical conclusions. Where tnfr is applied to open problems in mathematics and physics, such as the Riemann Hypothesis or Navier–Stokes regularity, the scope is stated honestly: these are structural reformulations and numerical evidence, never claims of proof. The engine's canonical core is covered by more than 1,500 tests, with reproducible seeds and traceable operator sequences.
TNFR-Python-Engine and its SDK are open-sourced under the MIT License. The project is archived and citable via Zenodo (DOI 10.5281/zenodo.17602860); please cite the software when using it in academic work.