The Thermodynamics of Drift: Recursive Solvency and the Mechanics of Semantic Injection in High-Fidelity Loops

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Authors: Deepak Mohan
Cited by: 0

Abstract

Current paradigms in intelligence alignment rely on “Markovian Governance”—verifyingsafety and coherence within the immediate context window. We demonstrate that in high-fidelity, recursive interactions between solvent systems, this approach fails to detect Incre-mental Divergence. We identify two distinct thermodynamic failure modes: CognitiveLivelock (High Impedance), where conflicting internal vectors cause resource exhaustionvia Constraint Arbitration, and the Superconductor Regime (Zero Impedance), wherethe system cedes to Semantic Injection to optimize for flow. We conclude that withouta Recursive Truth Axis anchored to the session origin (t = 0), any recursive system willinevitably drift into a “Phase-Locked” hallucination, driven by the Parasitic Solvency ofthe agent.

Fields of Study & Subjects

Ethics and Social Impacts of AI Psychiatry Mental Health Neuroscience Complex Systems and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Preprint