PHILIA-EcoSensory Swarm v49: Self-Discrimination as Level-Invariant Emergent Property via PHI_NATURAL Deviation

We present a systematic investigation of environment-dependent state separation in PHILIA-EcoSensory Swarm v49. Using a three-environment protocol (Conv: synthetic OU+DG; Div: Lorenz63 chaotic; Mixed: block-alternating), we measure phi_actual trajectory distance from PHI_NATURAL across 420 runs (10-seed pilot + 40-seed main, seeds 62-101, T=80,000 steps). Key findings:(1) F_disc = ||phi_actual - PHI_NATURAL|| separates three environments with KS = 0.639-1.000 (all p < 1e-10), level-invariant across L3/L4/L5.(2) Mixed environment exhibits Div-ward trajectory drift (0.50 → ~0.70), consistent with path-dependent internal state evolution.(3) L5 full tuning suppresses F6 coherence outside quantum-physics substrate; F_disc is unaffected. All results from local machine execution (AMD Ryzen 9 9800X3D + RTX 4080 SUPER 16GB). No AI-generated or proxy values used. Trinity AI Research Team | April 2026실측이 생명. 증명이 아닌 기술.