Full Dive: Identity, Causality, and Stability in Immersive Systems

This work presents a theoretical analysis of Full Dive as a class of immersive systems governed by continuity rather than sensory realism. It examines why deeply immersive environments fail over extended exposure and identifies identity preservation, causal stability, and long-term coherence as the primary constraints. The paper introduces a minimum viable architecture for Full-Dive systems, outlines failure modes through intentional fault analysis, and situates the framework within established models of predictive processing and active inference. Cost considerations and near-term validation pathways are included to clarify research scope. This work does not claim present-day feasibility of complete Full-Dive implementation and is intended as a foundational reference for continuity-aware immersive and multi-reality system research.