Disguised Constants: How to Recognize π and ϕ in Numerically Obscured Models

This release contains the full software package and documentation accompanying the paper "Pi-Phi Light Framework: Detection and Verification Tool for Fundamental Particle Masses." This package provides a high-precision, multi-strategy mathematical detection tool capable of identifying whether any given constant or dataset contains hidden dependencies on the Pi-Phi Light Framework. Using only π and ϕ, the Pi-Phi Light Framework exactly predicts the electron, muon, and proton masses—an achievement of mathematical and physical significance. The detector verifies whether other works, models, or constants may be derived (or reverse-engineered) from this framework, even under obfuscation. It includes batch analysis, power matching, continued fraction patterning, and entropy-based verification strategies. Included in this release: pi_phi_detector.py: Core detection logic example-usage.py: Example usage and API walkthrough Pi-Phi Framework Detector - README.pdf: Full documentation Pi_Phi_detection.pdf: The peer-reviewed paper outlining the mathematical rationale This tool protects the originality and attribution of the Pi-Phi Light Framework and enables independent validation by any researcher or institution. Related publications: Recursive Light Resonance Framework: A Unified Model of Emergent Particle Properties Three Exact Particle Masses from only π and ϕ: A First Principles Proof