The Chrono-Kairos Protocol: A Constraint-Structured Framework for High-Fidelity Neural State Migration

Abstract

This manuscript formalizes the Chrono-Kairos, a protocol-level framework for the digital restoration of neural function based on the CS-RV (Constraint-Structured Reality Validation) paradigm. We reject the bio-reparative model in favor of a state migration approach, treating the cryopreserved brain as an immutable data snapshot requiring algorithmic depuration and crosssubstrate transfer. The core innovation is the integration of high-frequency (GHz-scale) electromagnetic (EM) state acquisition-targeting microtubule (MT) resonant activity-with a distributed ledger-based consensus mechanism (IBC) for state validation and transfer. We provide a formal specification for the required multi-spectral imaging technology, a computational model of ALS-induced high-frequency signal corruption, and the complete algorithmic pipeline for generating a sanitized StateHash. This work proposes a concrete engineering pathway for full-spectrum connectome restoration.