AI RESEARCH
A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
arXiv CS.AI
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ArXi:2603.25022v1 Announce Type: new Knowledge distillation, model extraction, and behavior transfer have become central concerns in frontier AI. The main risk is not merely copying, but the possibility that useful capability can be transferred cheaply than the governance structure that originally accompanied it. This paper presents a public, trade-secret-safe theoretical framework for reducing that asymmetry at the architectural level.