General RSFT Version 10.5.2 Iteration 22

This document, titled Rotational Substrate Field Theory (RSFT) Unified Coherent Edition v22, presents a theoretical physics framework authored by Anthony James Bell. Dated April 2026, the paper proposes a model of the universe based on a sub-Planckian elastic medium (the "substrate") that self-organizes into a Face-Centered Cubic (FCC) lattice. Core Contents and Framework Fundamental Primitives: The theory claims to derive all physical constants using only two primitives: the substrate wave speed (c) and the electron mass (mₑ), with no additional free parameters. Key Postulates: RSFT relies on six primary postulates, including the existence of "Bell's Medium" (non-phase-locked substrate points) and the idea that particles are "vortex rings" (topological defects). Emergent Physics: The framework suggests that Lorentz invariance and special relativity are emergent consequences of a "velocity budget" required for vortex stability. Mathematical Foundation: A critical result of the theory is the derivation of the value = 2^1/6^1/3 2. 609606, which is used to uniquely determine various physical constants. New v22 Derivations and Results The v22 edition highlights five specific new or refined derivations for independent observables: W Boson Mass: Derived as 80. 41 GeV (0. 04% gap from observed) via electroweak condensate vortex breathing. Higgs Mass: Calculated at 127. 5 GeV using Clifford torus scalar self-energy. Neutron-Proton Mass Difference: Determined to be 1. 292 MeV (0. 1% gap) based on FCC isospin asymmetry. Solar Neutrino Mixing Angle: Calculated at 33. 30° (0. 42% gap) from Bell's Medium phonon decoherence. Gravitational Wave Speed Deviation: Establishes an exact bound of 4. 24 10^-104, significantly below current experimental limits. Status and Scope The theory covers 82 independent observables, ranging from the Fine Structure Constant and Newton’s Gravitational Constant (G) to dark matter mass and proton lifetime. It includes a comprehensive status table categorizing results as "Closed, " "Near-Closed, " or "Advanced" based on their proximity to experimental data.