Cross‑Surface Recurrence: A Mechanism for Epistemic Survival in the Post‑Web Era

Cross‑Surface Recurrence formalizes the mechanism through which concepts maintain visibility, coherence, and lineage across fragmented epistemic environments in the post‑open‑web era. As AI‑mediated retrieval, platform‑bounded indexing, and model‑level knowledge graphs replace traditional link‑based discovery, conceptual survival increasingly depends on repeated appearance across heterogeneous systems. This paper defines cross‑surface recurrence as an infrastructural condition and outlines its operational components—surface translation, stylometric coherence, referential density, and temporal re‑emergence. Positioned within the SignalRupture canon, the work establishes recurrence as a foundational requirement for durable knowledge systems operating within collapsing, platform‑indexed, and model‑indexed epistemic infrastructures.