AIKernel Canonical Trajectory Governance (CTG): A Three-Council Gateway for Deterministic AI Personality OS Architecture

This technical note introduces Canonical Trajectory Governance (CTG), an AIKernel governance theory for admitting stochastic LLM-generated candidate actions into deterministic operating-system control. CTG evaluates each candidate action through three independent councils: Logos for logical validity, Ethos for normative safety, and Pathos for contextual and human-centered appropriateness. The central decision mechanism is a finite discrete gate rather than a continuous weighted score. Ethos has canonical veto authority; otherwise, the action is admitted only when the aggregate council vote is strictly positive. The validity of a trajectory is defined as the product of step-level gates, so a single denial short-circuits the entire execution trajectory under fail-closed governance. The note also clarifies the relationship between CTG and the earlier AIKernel.RH prime-phase research line. Previous internal shorthand is not used as a formal theory name. The publication term is AIKernel Prime-Phase Model (PPM), which denotes the project line involving prime phases, interference energy, and energy functions. CTG is positioned as the governance layer, while PPM is repositioned as a mathematical substrate that may inform state-space and memory-protection research, including HATL. The English manuscript is the canonical version. The Japanese manuscript is included as a companion translation.