[2603.25022] A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

Computer Science > Artificial Intelligence arXiv:2603.25022 (cs) [Submitted on 26 Mar 2026] Title:A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures Authors:Peng Wei, Wesley Shu View a PDF of the paper titled A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures, by Peng Wei and Wesley Shu View PDF HTML (experimental) Abstract: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 more 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. The core claim is that distillation becomes less valuable as a shortcut when high-level capability is coupled to internal stability constraints that shape state transitions over time. To formalize this idea, the paper introduces a constraint-coupled reasoning framework with four elements: bounded transition burden, path-load accumulation, dynamically evolving feasible regions, and a capability-stability coupling condition. The paper is intentionally public-safe: it omits proprietary implementation details, training recipes, thresholds, hidden-state instrumentation, deployment procedures, and confidential system design choices. The contribution is therefore theoretical rather ...