THE UNIFIED FRAMEWORK (FU2.0) A Theory of Everything from First Principles

Overview In this version there is a piecemeal of segments of a later 3rd paper that will be written, it includes however a fully operational python engine, that derives from absolute zero, geometrically, everything in reality, its important to note that it is not a 1d scalar engine but 3 dimensional as soon as a stable triad is reached. It also includes two graphs which explain the entirety of our visible universe as cohesive constructive nodes. I invite anyone to use the python engine and examine the graphs to test it in your own environments. In this final version although missing a final paper, everything is completely derived; no input required. For dataset entry it's better to use the two original pdfs. Please note that inside of them are derivations with arithmetic errors and the tables for S should not be used, Law B in the static ICT paper should always be used to calibrate for a specific regime often referred to as substrate or S (or phi-eff) in these papers. The Correct workflow is ICT static paper first with strict compliance to the 0-5 phase workflow, no skipped steps, then outputs from the ICT paper can be used in the dynamic paper phi-Osciallation, again mandatory no skip phase 0-6 is required for accurate outputs. There is a list of critical corrections which troubleshoots common mistakes in the phi paper. For worked examples look at the supplementary files. Thanks and good luck with your research. This record presents the final comprehensive release (Version 3.3) of the phi-Oscillation Dynamics framework, a universal dynamical model for force manifestation across information substrates. Building upon the Information Theoretic Constraints (ITC) framework, this work introduces a time-evolution equation that unifies all fundamental forces as substrate-specific manifestations of a single universal mechanism. Key Theoretical Achievements Precision Mass Derivations: Absolute particle mass derivations including the electron mass (predicted to 0.3% error), muon mass (0.8% error), and tau mass (0.1% error). Force Hierarchy Quantification: Explains the vast discrepancy between gravity and gauge forces through logarithmic information scaling, improving gravity coupling predictions by $10^9$ over standard models. Unification of Gravity and Quantum Mechanics: Proves gravity and quantum mechanics are identical oscillations occurring at vastly different information scales, unified geometrically without the need for additional dimensions. Resolution of the Proton Radius Puzzle: Provides a first-principles explanation for the muonic/electronic hydrogen discrepancy based on geometric information efficiency ($\eta$). Cosmological Integration: Offers a new paradigm for Dark Matter as an oscillation phase transition and derives the Hubble tension resolution from framework first principles. Empirical Validation New rigourous validation complete with