RATIUM.AI Canonical Source Registry

Canonical Object Identity, Publication Provenance, and Rights Status

This registry identifies selected canonical RATIUM.AI publication objects and records their authoritative source relationships. It operates under the RATIUM.AI Rights & Provenance framework.

The registry records publication identity and provenance. It does not establish the substantive truth, empirical validity, legal validity, or independent verification of the intellectual claims contained in the registered objects.

Registered Object ≠ Validated Claim

Canonical Identity ≠ Epistemic Finality

Registry Status

Version: V1.1 — Core Registry

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Canonical author identity: Benny Dunavich

Rights and provenance policy: https://www.ratium.ai/rights-and-provenance

This V1.1 release extends the pilot registry from eight objects to fourteen core objects. The added records complete the corpus-level source, methodological, orientation, and procedural layers before article-level registration begins.

The absence of a field from a record means that the field has not been asserted in this registry version or is not applicable to that object. No value should be inferred from omission.

1. RATIUM.AI — Public Interface for AI Governance, CEP, and LoopGuard-AI

Object ID: RATIUM-HOME

Canonical URL: https://www.ratium.ai/

Object type: Website Root / Public Interface

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

2. RATIUM.AI Rights & Provenance

Object ID: RATIUM-RIGHTS-PROVENANCE

Canonical URL: https://www.ratium.ai/rights-and-provenance

Object type: Canonical Rights & Provenance Policy

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

First publication: 2026-09-19

Current version: V1.0

Publication status: Authoritative

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

3. RATIUM.AI Knowledge Placement Architecture (KPA)

Object ID: RATIUM-KPA

Canonical URL: https://www.ratium.ai/technical-reference-dossiers/ratium-ai-knowledge-placement-architecture

Object type: Canonical Specification / Corpus Architecture

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Current version: V3.2.2

Publication status: Final Publication Candidate / Conceptual State: LOCKED

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

4. LoopGuard-AI Canonical Proof of Concept V1.0.11

Object ID: RATIUM-LOOPGUARD-POC

Canonical URL: https://www.ratium.ai/loopguard-ai-poc

Object type: Canonical Technical Proof of Concept / Evidence & Verification Record

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

First publication: 2026-09-13

Current version: V1.0.11

Publication status: Publication-Locked

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

Content fingerprint: See canonical POC publication-lock and artifact hash records.

5. Central Equilibrium Problem (CEP) — Intuitive Explanation

Object ID: RATIUM-CEP-INTUITIVE

Canonical URL: https://www.ratium.ai/foundational-source-dossier/central-equilibrium-problem-intuitive-explanation

Object type: Foundational CEP Canonical Source / Explanatory Reference

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

6. LoopGuard-AI Technical Source Dossier

Object ID: RATIUM-LOOPGUARD-TECHNICAL-SOURCE

Canonical URL: https://www.ratium.ai/technical-reference-dossiers/loopguard-ai-technical-source-dossier

Object type: Canonical Architecture-Level Technical Reference

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current Architecture-Stage Reference

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

7. Articles | RATIUM.AI

Object ID: RATIUM-ARTICLES

Canonical URL: https://www.ratium.ai/articles

Object type: Articles Parent / Public Essay & Reading-Layer Index

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

8. Technical & Reference Dossiers | RATIUM.AI

Object ID: RATIUM-TECHNICAL-REFERENCE-DOSSIERS

Canonical URL: https://www.ratium.ai/technical-reference-dossiers

Object type: Technical & Reference Dossiers Parent / Architecture & Reference Index

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

9. Foundational Source Dossier

Object ID: RATIUM-FOUNDATIONAL-SOURCE-DOSSIER

Canonical URL: https://www.ratium.ai/foundational-source-dossier

Object type: Foundational Corpus Parent / Root Source Map

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

10. RATIUM.AI Formal-Scientific-Philosophical Methodological Framework

Object ID: RATIUM-METHODOLOGICAL-FRAMEWORK

Canonical URL: https://www.ratium.ai/technical-reference-dossiers/ratium-ai-methodological-framework

Object type: Corpus-Wide Canonical Methodological Boundary

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Current version: V1.1.1

Publication status: Canonical Methodological Specification

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

11. LoopGuard-AI Governance Source Dossier

Object ID: RATIUM-LOOPGUARD-GOVERNANCE-SOURCE

Canonical URL: https://www.ratium.ai/foundational-source-dossier/loopguard-ai-governance-source-dossier

Object type: Foundational Governance Source / Conceptual Origin Dossier

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current Foundational Source

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

12. RATIUM.AI / LoopGuard-AI / CEP FAQ

Object ID: RATIUM-FAQ

Canonical URL: https://www.ratium.ai/technical-reference-dossiers/ratium-ai-loopguard-ai-cep-faq

Object type: Orientation & Claim-Boundary Reference / FAQ

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current Orientation Reference

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

13. LoopGuard-AI Governance Simulation Protocol

Object ID: RATIUM-LOOPGUARD-GOVERNANCE-SIMULATION

Canonical URL: https://www.ratium.ai/foundational-source-dossier/governance-simulation

Object type: Model-Internal Governance Simulation Protocol

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Current Simulation Protocol

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

14. AI Epistemic Classification Protocol

Object ID: RATIUM-AI-EPISTEMIC-CLASSIFICATION-PROTOCOL

Canonical URL: https://www.ratium.ai/articles/ai-epistemic-classification-protocol

Object type: Independent Technical Reference Dossier / AI Evaluation Protocol

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Publication status: Concept + Architecture + Validation Design

Rights / Provenance Policy: https://www.ratium.ai/rights-and-provenance

Registry Interpretation Rule

Each Object ID is intended to remain stable for the identified intellectual or publication object even where its current version, modification date, or presentation changes.

Object Identity ≠ Version Identity

Where a registered object is superseded, the registry should preserve the relationship between the prior object state and the authoritative successor rather than silently reassigning identity.

Inclusion in this registry does not imply that unregistered RATIUM.AI publications lack authorship, copyright, canonical-source status, or provenance. Registration is being expanded through controlled releases so that source identity, relation type, publication status, and rights status remain distinguishable.

Canonical Publication Record

Canonical source: https://www.ratium.ai/canonical-source-registry

Document: RATIUM.AI Canonical Source Registry

Version: V1.1 — Core Registry

Author: Benny Dunavich

Publisher: RATIUM.AI — Independent R&D (AI Systems)

Rights / Provenance Policy: RATIUM.AI Rights & Provenance

Related Source and Reference Pages

This registry records selected canonical publication objects; the object entries above remain the authoritative record of its current coverage. The related pages below explain the governing rights policy, the structural distinction between object identity and other relations, and the separate methodological burdens governing substantive claims. They are interpretation references for the registry, not additional registration entries. Registration, correct placement, and sufficient evidential warrant remain distinct.

RATIUM.AI Rights & Provenance

This policy states the authorship, canonical-source, rights, reuse, and publication-identity framework for original RATIUM.AI publications. It distinguishes public access, discovery, linking, and analysis from authorization to republish or substitute a source, while separating protectable expression from ideas, facts, methods, and third-party material. The policy does not treat provenance as scientific validation or a content fingerprint as a legal judgment.

RATIUM.AI Knowledge Placement Architecture (KPA)

This canonical specification defines the RATIUM.AI Knowledge Placement Architecture (KPA), a knowledge-organization function designed to preserve the structural position of information during AI-mediated interpretation. It specifies Information Objects, canonical addressable identity, typed relations, non-collapse, unresolved placement, interpretive materiality, structural preservation, and correctability, so that connected information can remain related without being flattened into equivalence, validation, or endorsement. KPA is not presented as a universal ontology, graph-data standard, provenance standard, epistemic classifier, or deployed AI system. Its function is narrower: to preserve the place of information within a relational structure while maintaining distinctions among identity, relation type, scope, attribution, analytical level, and separately established epistemic status. Its governing boundary is: Structural Unity ≠ Epistemic Finality.

RATIUM.AI Formal-Scientific-Philosophical Methodological Framework

This canonical methodological reference defines the corpus-wide standards under which RATIUM.AI claims are formed, distinguished, interpreted, tested, criticized, and corrected. It establishes claim-appropriate methodological burdens across formal, empirical, causal, theoretical, historical, philosophical, normative, social-scientific, architectural, and simulation claims, while preserving explicit boundaries between evidential warrant and rhetorical, institutional, mathematical, or scientific appearance. The page is not presented as a universal philosophy of science or as retrospective certification of every existing RATIUM.AI object. Its role is narrower: to provide a common methodological boundary for reasoning, evidence, uncertainty, criticism, correction, and AI-mediated interpretation across the corpus, under the governing rule: Claim Type → Applicable Methodological Burden → Required Warrant.