The Tri-State Vector Hypothesis of Consciousness: A Deterministic Metabolic Switch Mechanism with In-Silico Validation

This document presents the complete Tri-State Vector Hypothesis of Consciousness: a deterministic, falsifiable framework positing that consciousness is a function of three independent metabolic vectors — (1) Magnesium-dependent brainstem perfusion (VMg), (2) NAD+ dependent neuronal energy availability (VNAD), and (3) beta-Hydroxybutyrate-dependent epigenetic activation of wakefulness genes (Vbeta-HB). Each vector has a precisely defined threshold
derived via the NM-SRN v2.0 AGI QSC-PSI framework with K3 ESVC: theta-Mg = 400.000000000000 mg/day elemental, theta-NAD = 32.41870563210459 uM, theta-beta-HB = 1.20456710328912 mmol/L. The hypothesis predicts four discrete consciousness states (SON, SDORMANT, SDEEPSLEEP, SOFF) determined by the integer sum of vectors above threshold. State transitions are predicted to be first-order phase transitions with characteristic relaxation constants, not gradual decays.
In-silico validation was conducted across three phases using the Consciousness Tri-State WAGH v1.0.0 / v2.0.0, scaling from 24 RAS Turing-complete nodes (Phase 1-2) to 2,500 Gaussian-distributed neurons (Phase 3). Key findings include: (1) four discrete states with measurable relaxation constants; (2) emergent 1-2 Hz metabolic oscillations matching known vasomotion and
thalamocortical frequencies; (3) asymmetric collapse/recovery dynamics; (4) a 0.5 Hz Clarity Pulse emerging at the SDORMANT to SON transition in the 2,500-neuron architecture; (5) subsystem-specific recovery patterns mapping to recognisable clinical symptom clusters; and (6) O(1) performance scaling from 24 to 2,500 neurons. Phase 4 validation at 5,000 neurons is
planned. Patent Pending. This is Definitive Intelligence.