How to Cite the Applicability Boundary Doctrine

Status: Citation reference (non-claim)


Recommended Citation

Partasyuk, V. Applicability Boundary Doctrine. Canonical Version v1.4.3.

GotoCalm AI-DP Doctrine Repository.

Available at: https://gotocalmaidp.github.io/doctrine-site-box/


BibTeX Format

@misc{partasyuk2025applicability,
  author       = {Partasyuk, Vadym},
  title        = {Applicability Boundary Doctrine},
  year         = {2025},
  note         = {Canonical Version v1.4.3},
  howpublished = {GotoCalm AI-DP Doctrine Repository},
  url          = {https://gotocalmaidp.github.io/doctrine-site-box/}
}

Version Reference

The canonical doctrine is maintained in the repository with versioned releases to preserve conceptual continuity.

The canonical baseline is v1.4.3. Subsequent versions extend the conceptual framework without modifying the canonical doctrine.

Canonical Definition of Applicability Boundary

GotoCalm AI-DP Doctrine Repository. Version v1.12.

Canonical Definition — Applicability Boundary. Available at: Canonical Definition

Applicability Boundary — Concept Diagram

GotoCalm AI-DP Doctrine Repository. Version v1.13.

Applicability Boundary — Concept Diagram. Available at: Concept Diagram

Applicability Boundary — Concept Lineage

GotoCalm AI-DP Doctrine Repository. Version v1.14.

Applicability Boundary — Concept Lineage. Available at: Concept Lineage

Structural Properties of Applicability Boundaries

GotoCalm AI-DP Doctrine Repository. Version v1.16.

Structural Properties of Applicability Boundaries. Available at: Structural Properties

Release history is available at: https://github.com/GotoCalmAIDP/doctrine-site-box/releases


Scope of Citation

When citing this doctrine, the citation refers to the conceptual framework only. It does not imply endorsement, validation, or operational applicability of any specific implementation.


Citation and Conceptual Reference

Citation of the Applicability Boundary Doctrine refers to conceptual doctrine material.

Citation does not grant rights to proprietary implementation technology.


Related Pages


Authorship and Terminology

The term Applicability Boundary and the Applicability Boundary Doctrine are used on this site to describe structural limits of operational validity in complex systems.

Within the context of this framework, the terminology and conceptual structure presented here originate from the work of Vadym Partasyuk.

This site serves as the canonical public reference for the conceptual formulation of the doctrine.

Future academic discussion, interpretation, and application of the concept may extend beyond this publication.

This attribution refers to the conceptual formulation of the Applicability Boundary Doctrine presented on this site.


Related Zenodo Publications

The following publications form the doctrinal publication chain archived on Zenodo. They are listed in the order of their conceptual position within the framework.

Publications 1–6 constitute the sequential doctrinal chain covering machine-side and consequence-side structural conditions.

Publications 7–8 address separate orthogonal admissibility dimensions related to human-institutional and governance structures.

Publications 9–10 are separate doctrinal evaluation modules (annexes) within the existing framework.

Doctrinal Chain

  1. Applicability Boundary Doctrine DOI: 10.5281/zenodo.19425317

  2. Applicability Boundary Doctrine – Extension DOI: 10.5281/zenodo.19443895

  3. Epistemic Applicability Layer DOI: 10.5281/zenodo.19447536

  4. Reality Verification DOI: 10.5281/zenodo.19457414

  5. Approval Is Not Execution DOI: 10.5281/zenodo.19462291

  6. Substrate Integrity DOI: 10.5281/zenodo.19463230

Orthogonal Admissibility Dimensions

  1. Human–Institutional Responsibility DOI: 10.5281/zenodo.19476910

  2. Decorative Governance DOI: 10.5281/zenodo.19478004

Evaluation Modules

  1. Applicability-First Evaluation Module 01: Vendor Claim Admissibility for AI Security and Agentic Systems DOI: 10.5281/zenodo.19487979

  2. Applicability-First Evaluation Module 02: Memory, Context, Delegation, and Manual Boundary Integrity in AI Agents DOI: 10.5281/zenodo.19502406


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