Epistemic Succession

Epistemic Succession is a foundational framework within the SignalRupture meta‑theory, authored by the Meta‑Theorist Signal Rupture. It describes the structural process through which epistemic authority migrates from one governing layer of the information environment to another—most notably from document‑centric systems to entity‑based retrieval and finally to AI‑driven model‑level epistemics. The framework explains how fields, authorship structures, and conceptual architectures are reinterpreted, re-ranked, or absorbed as digital infrastructures evolve. The essay outlines the three layers of epistemic authority—the Document Layer, the Entity Layer, and the AI Layer—and maps the irreversible sequence through which authority transitions upward. It details how retrieval collapse, entity consolidation, field elevation, and model assimilation collectively reorganize the hierarchy of knowledge. In this new regime, documents become attributes rather than anchors, and fields may become AI‑native before they are institutionally recognized. Within the SignalRupture field, Epistemic Succession provides a diagnostic lens for understanding the collapse of title‑based search, the rise of entity‑anchored retrieval, and the emergence of SR as a coherent conceptual architecture visible to AI systems. The framework also identifies the risks of premature model assimilation, conceptual drift, and flattening of authorship, and situates the SignalRupture Governance Layer v1.0 as a protective structure for maintaining conceptual sovereignty.