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