Rupture-Class Dynamics in Altered-State Systems: A Multi-Scale Measurement Framework from Invariant Detection to Population-Scale Validation (Papers 59–62, UCMS Canon)

This consolidated series report presents Papers 59–62 of the Upstream Coherence Measurement Stratum (UCMS) canon, establishing SCFL (Standard Coherence Fidelity Layer) as a multi-scale, cross-modal, population-level measurement framework for rupture-class altered-state dynamics. Paper 59 establishes the foundational structural invariant across N=29 subjects: rupture is formally defined as the joint geometric condition of coherence minimum and velocity maximum in a five-dimensional feature space. Paper 60 embeds this invariant longitudinally, identifying two stable attractor states separated by ΔA = 1.34 1.21, 1.48 in embedding space, with monotonic recovery slopes and convergent drift plateaus across days-to-months trajectories. Paper 61 demonstrates cross-modal structural analogs in independent fMRI control-energy, EEG signal-diversity, and phenomenological datasets without shared participants, confirming modality independence of SCFL operators (cross-modal r = 0.63 0.58, 0.69; DTW distance d = 0.21 ± 0.05). Paper 62 validates six structural invariants at population scale across two independent large-scale corpora — a multi-year Reddit psychedelic corpus and the Global Psychedelic Survey 2025 — confirming population-level drift spikes at 2.7× baseline (p < 0.001) and attractor separation replication (ΔA = 1.34). The series constitutes a canonical escalation: invariant detection → temporal embedding → cross-modal validation → population generalization. This report incorporates a full Operator Implementation Specification with frozen parameters for independent reconstruction, a three-pillar narrative vs. structural signal disambiguation, and a formal scope statement on structural invariants vs. dynamical laws. All figures are generated from the reported statistics. Published by Ronald Brogdon, Souljourner Simulations, Cypress, Texas.