AI33-MPOPT Computational Validation Report: Verified Numerical Results from Colab Experiments

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Authors: Rolando Rivero
Cited by: 0

Abstract

This Zenodo record contains the foundational components of the AI33‑MPOPT research program. (2) 02_AI33_MPOPT_GENESYS_2025_Complete_Final_Refs.pdf The cosmogenesis and multiverse‑geometry paper presenting the 33‑multiverse icosahedral architecture, the Quantum Throat mechanism, the Paused‑Gravity discovery, and 18 fully annotated figures with TRUE Colab numerical outputs. Establishes the GENESYS foundation of the AI33‑MPOPT framework. 6) 06_AI33_MPOPT_33‑MULTIVERSE_17_MAJOR_MODULES.pdf The encyclopedic synthesis of the entire program, including the 33‑multiverse genesis, GENESIS‑X operator, Rivero Zeta spectral pipeline, Super‑GUE universality, Navier–Stokes and Yang–Mills Millennium Problem structural modules, black‑hole singularity‑burst mechanism, and full computational validation. Serves as the “AI33‑MPOPT Encyclopedia.” (7) 07_AI33‑MPOPT_Millennium_Problems.pdf A dedicated structural analysis of the Navier–Stokes global smoothness and Yang–Mills mass‑gap modules within the AI33‑MPOPT operator‑projection architecture. Clarifies admissibility conditions without asserting formal proofs. (11) 11_AI33‑MPOPT_Garkness_Comprehensive_Presentation.pdf The core theoretical document presenting the six‑layer unified architecture: Garkness vacuum‑tension geometry, Ξ‑kernel nonlocal correlations, 33‑web sector structure, Rivero‑Zeta spectral layer, geometric information functional, and the complete AI33‑MPOPT Master Equation. This is the primary theoretical reference for the entire framework. Together, these documents form the complete AI33‑MPOPT architecture, unifying cosmogenesis, nonlocal geometry, spectral theory, information geometry, and observational cosmology within a single operational framework.

Fields of Study & Subjects

Cosmology and Gravitation Theories Advanced Mathematical Theories and Applications Relativity and Gravitational Theory

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Preprint