Universal Model Framework: A Prime-Fractal Prompt Architecture for Unified Physics

This repository contains a modular, GPT-compatible framework to explore a unified physical theory that connects general relativity, quantum field theory, cosmology, and number theory. Based on the Universal Model Framework (UMF), it proposes that reality emerges from a prime-indexed, fractal information lattice—the Planck lattice—where matter, space, time, and quantum coherence are projections of structured arithmetic geometry. The repository includes a master prompt and modular extensions to guide large language models (LLMs) in synthesizing: Quantum coherence models on prime-modulated Sierpiński lattices Spectral comparisons between prime Hamiltonians and Riemann Zeros Prime-based alignment in the cosmic microwave background and void structure A reinterpretation of gravity as an entropy gradient The emergence of consciousness as recursive symmetry recognition This package enables interactive, reproducible reasoning using advanced LLMs and represents an open research program bridging physics, information, and mathematics. This project was developed by Marco Gericke, with structured assistance from a large language model (ChatGPT). All scientific concepts and conclusions were generated, verified, and interpreted by the author. Dedicated to Peter Plichta, who envisioned the code before it could be computed.