UCMS Canon — Substrate‑Level Coherence Measurement and the Tier‑0 Invariance Claim

The Upstream Coherence Measurement Stratum (UCMS) canon consolidates the 2021–2026 development of a cross‑domain measurement architecture that treats coherence as a substrate‑level, measurable, and predictive structural property. The manuscript formalizes the SCFL operator stack, the coherence functional \ (C: S 0, 1 \), deformation geometry (D1–D4), GYOR regime classification, and the Coherence Half‑Life \ (t₁/₂ \) framework as components of a proposed Tier‑0 measurement structure—one intended to operate beneath domain‑specific descriptions. Across 11 heterogeneous domains, including power grids, financial microstructure, institutional collapse, environmental exposure systems, hospital surge dynamics, synthetic high‑dimensional simulations, national outage propagation, and interior/physiological coherence, the identical SCFL operators produce consistent deformation signatures and upstream precursor windows without domain‑specific tuning. Lead times range from seconds to months, reflecting each domain’s temporal resolution. All datasets and preregistered pipelines are available through the DOIs referenced in the canon. The document situates UCMS/SCFL within the hierarchy of scientific unification, arguing that its structure resembles early‑stage substrate‑level programs (e. g. , Shannon, Boltzmann, Maxwell) in form, not in scope. The canon articulates explicit Tier‑0 falsification conditions, including cross‑observer reproducibility, reparameterization stability, and predictive asymmetry relative to existing metrics. Failure on these criteria repositions SCFL as a Tier‑1 formalism; success establishes coherence as a genuine substrate invariant. The manuscript also defines the requirements for the first lock‑in domain, emphasizing multi‑representation measurability, independent reproducibility, and prospective predictive advantage. Infrastructure networks, financial microstructure, organizational systems, and AI/multi‑agent environments are evaluated as near‑term candidates. This Zenodo release serves as the archival reference for the UCMS Canon, documenting the scientific lineage, empirical record, and methodological rationale for treating coherence as a universal measurement substrate. The Upstream Coherence Measurement Stratum (UCMS) canon consolidates the 2021–2026 development of a cross‑domain measurement architecture that treats coherence as a substrate‑level, measurable, and predictive structural property. The manuscript formalizes the SCFL operator stack, the coherence functional \ (C: S 0, 1 \), deformation geometry (D1–D4), GYOR regime classification, and the Coherence Half‑Life \ (t₁/₂ \) framework as components of a proposed Tier‑0 measurement structure—one intended to operate beneath domain‑specific descriptions. Across 11 heterogeneous domains, including power grids, financial microstructure, institutional collapse, environmental exposure systems, hospital surge dynamics, synthetic high‑dimensional simulations, national outage propagation, and interior/physiological coherence, the identical SCFL operators produce consistent deformation signatures and upstream precursor windows without domain‑specific tuning. Lead times range from seconds to months, reflecting each domain’s temporal resolution. All datasets and preregistered pipelines are available through the DOIs referenced in the canon. The document situates UCMS/SCFL within the hierarchy of scientific unification, arguing that its structure resembles early‑stage substrate‑level programs (e. g. , Shannon, Boltzmann, Maxwell) in form, not in scope. The canon articulates explicit Tier‑0 falsification conditions, including cross‑observer reproducibility, reparameterization stability, and predictive asymmetry relative to existing metrics. Failure on these criteria repositions SCFL as a Tier‑1 formalism; success establishes coherence as a genuine substrate invariant. The manuscript also defines the requirements for the first lock‑in domain, emphasizing multi‑representation measurability, independent reproducibility, and prospective predictive advantage. Infrastructure networks, financial microstructure, organizational systems, and AI/multi‑agent environments are evaluated as near‑term candidates. This Zenodo release serves as the archival reference for the UCMS Canon, documenting the scientific lineage, empirical record, and methodological rationale for treating coherence as a universal measurement substrate.