Canonical Vocabulary Specification: Boundary-First Deterministic Execution
Year: 2025
Type: article
Abstract: Canonical Description (Canonical, Authority-Closed) This record defines the canonical and exclusive vocabulary of the Boundary-First Deterministic Execution canon. Each term defined in this document specifies a structural constraint on possible system states rather than a descriptive or interpretive label. Any term not explicitly defined is undefined, and any undefined term corresponds to a non-existent state. The vocabulary is normative and exclusive: terms admit no synonyms, extensions, or reinterpretations; soft or intermediate states (including pending, provisional, partial, or in-progress) are explicitly excluded; use of a canonical term implies acceptance of all associated constraints, non-equivalences, and impossible states. This document introduces no new execution primitives and does not modify, revise, or supersede any prior canonical specification. It operates strictly within the boundaries established by previously published canonical documents and extends the canon only by introducing a formal vocabulary layer. The document provides no policy guidance, governance framework, compliance recommendation, implementation instruction, monitoring model, or evaluative mechanism. It makes no claims about real-world systems, organizations, deployments, or incidents. Any interpretation that implies modification, correction, evolution, or replacement of prior canonical specifications is invalid. 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
Author: Independent Researcher
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7117889747
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