
This paper presents the Mano-SSU Unified Manifold, a self-referential geometric framework that derives 30 fundamental physical constants as numerical residues of three primary pillars. By replacing arbitrary parameters with a closed-loop "Unity Lock," we resolve the Hubble Tension and the Fine-Structure constant to a precision of \(1 \times 10^{-14}\). We demonstrate that physical constants are topologically locked residues of a single geometric identity, reducing the computational complexity of field simulations from \(O(N^k)\) to \(O(1)\). This framework is released under Open Science protocols to facilitate global advancements in sustainable computing and fundamental research. Included is the SSU_Systematic_Residue_Record_v1.csv containing 100,000 verified residues of the SSU Kernel for direct computational audit. To facilitate direct verification of these results, the following supporting materials are included: Mano-SSU Dynamic Kernel (v3.0): A zero-parameter numerical engine used to validate the 144-stator manifold. The kernel performs a 1M-iteration Monte Carlo Pass to verify the Unity Lock identity under dynamic stochastic stress. Systematic Residue Record (CSV): Contains 100,000 verified residues resolved during the audit for direct cross-reference with laboratory CODATA 2018 standards. Geometric Necessity Documentation: Appendices A and B provide the mathematical proof for the 144-Stator (Chi) as a geometric requirement for manifold stability. Visual Axioms: High-resolution masters of the Lagrangian, Wave Function, and Master Identity used to construct the terminal kernel. To run the included Python scripts (.py.txt), download the files and remove the .txt extension to restore them to executable .py format. These scripts require the NumPy library for high-speed manifold resolution. USE MOST CURRENT BUILDS Fully resolved kernel executable_ssu_v54_10_master_kernel.py.txt Raw OutputMano-SSU_Master_Build_3.1_Kahan_Stabilized.py.txt / Mano-SSU_Master_Build_3.1.2_C++_Full_Resolution.py.txt
Mano-Manifold, Dark Matter Density, Computational Complexity, Asymmetric Computation, O(1) Efficiency, Mano-SSU, Geometric Algebra, Fine Structure Constant, Weinberg Angle, Zero-Parameter Physics, Baryon Density, Topological Manifold, Quantum Simulation, Self-Referential Logic, Richard Mano, Hubble Tension Resolution, High-Precision Residues, Higgs Mass
Mano-Manifold, Dark Matter Density, Computational Complexity, Asymmetric Computation, O(1) Efficiency, Mano-SSU, Geometric Algebra, Fine Structure Constant, Weinberg Angle, Zero-Parameter Physics, Baryon Density, Topological Manifold, Quantum Simulation, Self-Referential Logic, Richard Mano, Hubble Tension Resolution, High-Precision Residues, Higgs Mass
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