Class II Cost Boundary: Irreversible Consequences of Boundary-First Execution Admission

This publication formalizes Class II, defined as the irreducible cost boundary that arises once pre-execution admission is enforced in automated decision systems. The document is strictly referential and non-operational. It introduces no systems, mechanisms, protocols, implementations, or enforcement models. It contains no executable logic and defines no operational behavior. Class II has no independent meaning. It exists exclusively as a logical consequence of prior canonical publications within the same research series: Financial Black Boxhttps://doi.org/10.5281/zenodo.18187183Establishes a post-execution and post-failure limit of provability, demonstrating that retrospective accountability cannot guarantee unique or reconstructible system truth. Non-Bypassable Protocol-Level Control of Automated Decision Executionhttps://doi.org/10.5281/zenodo.17956470Establishes a pre-execution admission boundary in which execution is physically prevented unless preceded by an authorization event. Financial Black Box — Public Overview (Non-Executable Reference Artifact)https://doi.org/10.5281/zenodo.18203023Provides a public, non-executable reference summary without implementation details. Within this context, Class II defines the unavoidable structural costs incurred when systems attempt to preserve provability while enforcing admission prior to execution. These costs are architectural in nature and include, without limitation, temporal latency, coordination overhead, authority concentration, and irreversible dependency coupling. Such costs cannot be eliminated through optimization, automation, policy, or tooling. The document demonstrates that these costs are irreversible and non-amortizable. Any system that enforces pre-execution admission must either accept the Class II cost boundary or abandon provability guarantees. This record does not propose solutions, recommend mitigations, or define architectures. It documents the existence of a structural boundary condition and its implications as a matter of logical consequence, not policy choice. Non-Claims This record: provides no legal, regulatory, or compliance guidance; defines no governance process or responsibility model; specifies no implementation, deployment, or operational behavior; asserts no factual claims about real systems, organizations, incidents, intent, or liability. Interpretation and Authority Any interpretation, extension, application, or reliance beyond the literal text of this record is explicitly unauthorized without prior written consent of the author. This publication is issued solely as a fixed referential boundary within the canonical research series. License and use notice: This artifact is released under CC BY-NC-ND 4.0. It may be read, cited, linked, and referenced with attribution. No commercial use, modified versions, derivative specifications, operational claims, service claims, or implied endorsement are granted by this publication. No implementation, operational, commercial, licensing, evaluation, conformity, equivalence, endorsement, or authoritative interpretation rights are granted by this publication. Any such use requires separate written permission from the author. Licensing and interpretation framework: https://doi.org/10.5281/zenodo.18381146 Current clarification version: https://doi.org/10.5281/zenodo.19846720 Related public project surface: https://ai-admissibility.com/ This link is provided for public project context only and does not convert this reference artifact into an operational service, implementation, or commercial offer.