WCS v1.9 — Zenodo Description Weighted Cohesion Score (WCS) v1.9 presents a structural coherence framework for decision-making derived from the Hoffman–Joyce Continuum (HJC). Rather than optimizing outcomes or assuming stable preferences, WCS models decisions as coherence-preserving or coherence-degrading transitions across future selves and distributed relational systems. The framework evaluates decisions along three primary dimensions: Fit — contextual alignment with values, obligations, constraints, and relational environment Phase — temporal readiness, bandwidth, and developmental synchrony Dissolution (D) — destabilization risk, agency degradation, and coherence breakdown These dimensions are integrated into a composite Weighted Cohesion Score (WCS) and a complementary Dissolution Risk (DR) metric designed to model both aggregate coherence and acute destabilization exposure. Version 1.9 expands the framework substantially by formalizing: Practical future-self branching and calibration workflows Distorted scoring safeguards under elevated Dissolution Moderated Dissolution (D*) for growth-associated destabilization A multi-node system extension introducing System Dissolution (D_sys) Distributed coherence modeling across institutions, governance systems, and AI architectures Persistence-sensitive volatility updating through a conceptual Volatility Index (VI) framework Cross-domain applications spanning personal decisions, organizational governance, institutional legitimacy stress, and AI epistemic guardrails WCS is presented as a conceptual coherence architecture, not as a validated psychometric or predictive instrument. Scoring ranges, volatility bands, proxy indicators, and weighting schemes are intentionally lightweight and domain-adaptive. Empirical operationalization, calibration, and quantitative validation are left to future domain specialists. The contribution of WCS is architectural: a minimal formal structure for modeling coherence preservation, destabilization propagation, and agency continuity across both individual and distributed systems.