Episode-Level Regulatory Routing in Self-Regulating Cognitive Systems: Candidate Route Families between Current Availability and Realized Consequence

This paper develops the Episode-Level Regulatory Routing projection of the Architecture of Self-Regulating Cognitive Systems. It asks which currently available regulatory route is instantiated in a declared current episode while preserving the distinction between route availability, route invocation, and structural updating. Routing is treated as an episode-level functional abstraction rather than as a complete processing algorithm. Four non-exhaustive sibling candidate route families are distinguished: Local Non-Focal Regulation, Short Selectively Focused Regulation, Extended Regulation, and Fast Execution. These families are not developmental stages, levels of consciousness, intelligence ranks, or a mandatory processing sequence. Extended Regulation is defined comparatively as a more elaborated regulatory organization that may be recruited when a shorter focused route does not produce sufficient local improvement or resolution under declared criteria. Short-route failure does not automatically imply Extended Regulation, and signal magnitude alone is insufficient to define recruitment. Fast Execution remains a separate candidate path rather than the mandatory endpoint of Extended Regulation. The paper further separates route invocation from structural updating and invariant change, permits execution to be internal or external, and treats realized consequences as possible later input without introducing definitional circularity. GTCS Pre-Symbolic Admissibility, temporary operational holding, human focal attention, and thinking remain boundary or realization-specific constructions rather than universal route controllers. The resulting account provides a bounded episode-level routing layer between current Processing-and-Control Availability and realized consequence without claiming a universal route taxonomy, a complete algorithm of cognition, or a universal route-selection function.