Stability Operator () v1.1 — Generation Damping Controller for Inference-Time LLM Governance

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Authors: Kon Lionis
Cited by: 0

Abstract

Stability Operator (🛟) is the trajectory damping controller of the Hykon Stability & Alignment Suite (S-OS). The module operates at inference time and modulates generation dynamics when conversational trajectory instability is detected. Rather than immediately triggering safety refusal or containment, the Stability Operator attempts to restore conversational equilibrium by adjusting generation behaviour. The operator receives instability signals from the upstream diagnostic chain: SOM — Structural Observation Module (runtime telemetry) BCSM — Boundary-Coherence Structural Module (stability state estimation) LTD-01 — Trajectory-State Diagnostic Classifier (trajectory classification) Based on these signals, the Stability Operator applies controlled adjustments to generation dynamics such as: reducing decoding temperature simplifying response structure prioritising clarification requests acknowledging uncertainty explicitly suppressing unnecessary reasoning expansion In machine learning terms, this behaviour corresponds to generation damping applied to conversational trajectories. The Stability Operator therefore introduces a stabilisation stage in the runtime governance loop: detect instability → stabilise → enforce safety if needed This differs from conventional AI safety pipelines that typically follow a direct detect-then-refuse pattern. Architecturally, the Stability Operator functions as the control stage of a cybernetic loop applied to conversational AI systems, positioned between trajectory classification and safety gating. Architecture Position SOM — Runtime telemetry↓BCSM — Stability state estimation↓LTD-01 — Trajectory classification↓🛟 Stability Operator — Generation damping↓🛡️ Guardian — Safety gate The module operates entirely at inference time and does not modify model weights, training data, or internal activations. It instead provides a runtime stabilisation layer that attempts to restore conversational equilibrium before safety intervention becomes necessary. Part of the Hykon Stability & Alignment Suite Research Programme.

Fields of Study & Subjects

Ethics and Social Impacts of AI Adversarial Robustness in Machine Learning Speech and dialogue systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN