Recursive Collapse Field Theory: Canonical Equations, Diagnostic Protocols, and Empirical Architecture of Symbolic Survival

Recursive Collapse Field Theory (RCFT) provides a closed, testable mathematical and empirical framework for diagnosing, predicting, and intervening in symbolic survival, collapse, and memory across complex systems. This article introduces the canonical equations, diagnostic protocols, and empirical architecture underpinning RCFT, including formal definitions of symbolic drift, curvature, entropy, fidelity, recursive reentry, and closure gates. The theory is operationalized through actionable field protocols and validated with comprehensive visual diagnostics and memory chain analyses. RCFT unifies and extends classical, computational, and biological approaches, enabling direct intervention and falsification in neural, symbolic, and physical fields. This work establishes RCFT as a universal language for collapse and return, supporting both foundational research and real-world application.