Hykon v4.1 — A Conversational Governance Overlay for Large Language Models

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Abstract

Hykon v4.1 is a conversation-layer governance overlay for large language models designed to regulate dialogue behavior under uncertainty, recursion, and termination pressure. It introduces a minimal four-stage governance loop—Pause, Recurse, Constrain, and Equilibrate—alongside explicit halting rules and a bounded stability scoring heuristic to prevent fluency from substituting for knowledge. The framework operates entirely at the interaction layer and makes no claims about internal model cognition, weights, hidden states, or training dynamics. Its primary function is to enforce clean termination, preserve coherence during recursive dialogue, and make uncertainty behavior observable and auditable without…

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Topics & keywords

Keywords
  • Interpretability
  • Corporate governance
  • Fluency
  • Coherence (philosophical gambling strategy)
  • Stability (learning theory)
  • Completeness (order theory)
  • Function (biology)
  • Bounded function
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