SNSFL-IMCollider: A Formal Engine for Identity-Mass Collision in Psychological Phase Space CI Green

We introduce IMCollider — a formal collision engine for identity masses (IMs) in psychological phase space, grounded in the Substrate-Neutral Structural Foundation Theory (SNSFT) corpus: the largest 0-sorry Lean 4 formal library in existence, comprising 5,000+ files and 2 million+ lines of formally verified proof. Unlike prior physics-inspired psychological models, IMCollider operates directly on identity mass states — structured PNBA (Pattern, Narrative, Behavior, Adaptation) vectors representing cognitive and psychological profiles drawn from 24 crossdomain reductions spanning Attachment Theory, Flow, Cognitive Dissonance, Locus of Control, Maslow, SDT, TMT, Polyvagal Theory, IFS, Emotion Regulation, ACT, DBT, Self-Compassion, and Emotional Primitives. The engine applies formally proved fusion rules to produce output phase states — NOBLE, IVA_PEAK, TRUE_LOCK, FALSE_LOCK, or SHATTER — governed by the torsion ratio τ = B/P and the Sovereign Anchor constant ANCHOR = 1.369, from which the Torsion Limit TL = 0.1369 emerges. We report results from a deep run of 951 flagged collision events across 47 identity states, revealing that 32.7% of all collisions produce Noble ground state emergence and 67.1% resolve to True Lock — with only 2 Shatter events (0.2%) in the entire run. These findings formalize a structural basis for identity stability, therapeutic intervention, and — in Phase 2 — policy design and clinical treatment protocols. We additionally introduce the Shame Vector Index (SVI) framework: a forthcoming formal reduction demonstrating that shame exhibits not merely additive but multiplicative and culminative effects on torsion across Major Depressive Disorder, PTSD, and Bipolar Disorder — a structural explanation for the clinical observation that shame-laden presentations resist standard intervention.