BU37 B_U Evolution Classification Matrix B_U From Empirical Classification to Physical Settlement

This paper develops a B_U evolutionary classification matrix that reclassifies twelve major forms of evolution from empirical categories into physically settled update modes under single-universe boundary consistency. Its central claim is that evolution is not a loose name for change, adaptation, expansion, replacement, or recurrence; it is the retained readout of structure under background clearing, admissible carrier formation, cost-bridge payment, unified settlement, and resolution ascent. The paper introduces a minimal update–settlement chain in which each local evolutionary mode first generates an update, then undergoes boundary-admissible projection, residual exposure, information-update cost settlement, and entry into the next settled state. This allows A1–A12 to be treated as twelve local update modes rather than twelve unrelated explanatory vocabularies. Iterative optimization, phase transition, saturation, decline, co-evolution, replacement, cycles, convergence, parallel evolution, radiation, mutualization, and multilevel selection are all reclassified through the same settlement interface. The paper also clarifies the roles of microscopic zeroing, cost bridges, unified settlement, and consciousness amplification. Microscopic zeroing prevents noise from acquiring sovereignty; cost bridges filter false transitions; unified settlement adjudicates retained standing; consciousness amplification turns local variation into higher-order readable direction. As a validation example, the paper explains why different AI training regimes tend to converge toward reality: their local training paths differ, but all are repeatedly pruned by the same reality-settlement