A URCM‑Based Framework for Avoidance, Coordination, and Retrospective Cascades

This preprint presents a systems‑theoretic model of human temporal cognition grounded in the Universal Regularized Cascade Metric (URCM). The framework formalizes three behavioral regimes—Future‑Structured Architecture (FSA), Present‑Adaptive Architecture (PAA), and the Temporal Avoidance Regime (TAR)—as dynamic states defined by memory accumulation, coordination structure, and cognitive load. A mathematical formulation is provided through differential equations, phase‑space representations, and regime‑transition conditions. The model explains how present‑focused strategies reduce immediate cognitive cost while generating latent instability through unresolved decision accumulation, leading to Retrospective Cascades (RC). Comparative analysis demonstrates how mismatched temporal architectures can produce interpersonal tension, oscillatory dynamics, or delayed regret. The framework integrates cognitive behavior with nonlinear system theory and offers a structured approach for analyzing temporal mismatch in individuals, relationships, and human‑centered systems.