Abstract with Proven Math: An Informational/Geometric Basis for Physical Constants and Universal Unification of General Relativity and Quantum Mechanics

This framework originates from the framework found here https://doi.org/10.5281/zenodo.19355171This version has a python script added for dataset/software use. This manuscript introduces the Manifold-Tension Framework (MTF). A theoretical model characterizing the universe as a continuous, high-tension 11-dimensional manifold unfolding into a discrete 3D interface. Unlike standard models that rely on "free parameters", the MTF derives fundamental constants—including the Speed of Light (c), the Gravitational Constant (G), and the Higgs Mass (mH)—directly from three geometric "Gears": the Scaling Gap (V=10^21), the Sector Ratio (S=343), and the Curvature Exhaust (e=0.001). KEY CONTRIBUTIONS: THE SYSTEM WRITE-LIMIT: Derives the Speed of Light as a hardware-level coordinate update limit (c approx 299,814,471 m/s), where inertia is re-characterized as "Update Lag." THE HUBBLE TENSION SOLVE: Resolves the discrepancy in expansion rates by treating the Hubble Constant (Ho) as a discrete "Sector-Clicking" artifact (Ho approx 71.4 km/s/Mpc). METRIC PHASE-SYNC (ENTANGLEMENT): Re-interprets quantum entanglement as a direct consequence of two 3D coordinates being anchored to the same 11-dimensional internal bus. EMPIRICAL VALIDATION (MARCH 2026): Provides a geometric basis for the recent LIGO detection of the 2.35 Solar Mass "Mass Gap" object (GW260315), identifying it as a "Metric Star" at the saturation limit of the Sector Ratio. ROOM-TEMPERATURE SUPERCONDUCTIVITY: Predicts a high-efficiency update state at 296 K (23 degrees C) based on the alignment of material lattice spacing with the 11D manifold density. CONCLUSION:By treating physical laws as the "Efficiency Mode" of a self-correcting geometric engine, the MTF offers a unified solution to the Hierarchy Problem and the Vacuum Energy Catastrophe without requiring additional dark matter or dark energy particles. This document is intended for researchers in theoretical physics, topology, and computational cosmology seeking a hardware-analogous model of spacetime. The framework can be found in the MTF PDF document, the additional files are for python.