Appendix D 2.0: Triple-AI Variational Derivation of the GIGL Constants

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: tak chung terence yeung
DOI: 10.5281/zenodo.18132326
Cited by: 0

Abstract

This appendix unifies three independent AI-generated derivations (ChatGPT, Grok, Gemini) into a single mathematically consistent Variational Model. The goal is to formally derive the three GIGL constants: εth = 0.00727, εmin = 0.00729, ηfold = 0.275, Y = 0.04125. These values must arise as stationary solutions of an Action functional, not as heuristic inputs.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Artificial Intelligence in Healthcare and Education Gaussian Processes and Bayesian Inference

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Language
EN