RATIUM.AI Rights & Provenance

Canonical Source, Authorship, Copyright, Reuse, and Publication Identity

RATIUM.AI is a public research and development corpus created and published under the authorship and direction of Benny Dunavich.

This page defines the canonical-source, authorship, rights, reuse, and provenance framework applicable to original RATIUM.AI publications unless a specific publication states otherwise.

The governing principle is:

Public Accessibility ≠ Transfer of Ownership

RATIUM.AI is designed to remain discoverable, indexable, referenceable, and open to public examination. Public availability does not convert its original publications into ownerless, substitutable, or freely republishable content.

1. Canonical Source

Each substantive RATIUM.AI publication may be assigned a canonical URL representing its authoritative public publication instance.

Where copies, quotations, summaries, translations, cached representations, archives, screenshots, exports, mirrors, or other reproductions exist, their existence does not by itself replace the RATIUM.AI canonical source.

The governing distinction is:

Representation ≠ Origin

A third-party copy may reproduce an object. It does not thereby become the originating publication.

2. Author and Publisher Identity

Unless a specific publication expressly identifies another author or rights holder:

Canonical author: Benny Dunavich

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

RATIUM.AI publication records may additionally identify a first-publication date, version, publication status, canonical object identifier, modification date, or cryptographic fingerprint.

These records are intended to make publication identity reconstructable across time and across technical systems.

3. Copyright Boundary

Unless otherwise stated, copyright is claimed in the original protectable expression created by Benny Dunavich and published through RATIUM.AI, to the extent such rights are held under applicable law.

© 2026 Benny Dunavich. All rights reserved.

This notice does not claim ownership over material that is not owned by the rights holder or is not protectable by copyright, including facts, general ideas, methods, mathematical relations, historical events, public-domain material, and third-party works.

Third-party quotations, references, images, records, publications, and other externally sourced material retain their respective rights status.

Accordingly:

Conceptual Provenance ≠ Copyright Scope

and:

Canonical Source ≠ Ownership of Every Referenced Element

4. Public Access and Search Accessibility

RATIUM.AI is intentionally published on the open web.

Ordinary crawling, indexing, discovery, linking, retrieval, citation, analysis, and lawful quotation are not treated by this notice as equivalent to republication of a RATIUM.AI work.

RATIUM.AI may separately use technical controls to govern access by particular automated systems or classes of systems.

The absence of such a technical restriction does not by itself grant a right to reproduce, mirror, republish, or substitute a RATIUM.AI publication.

The governing distinctions are:

Crawl Permission ≠ Republication License

Indexability ≠ Abandonment of Rights

Retrievability ≠ Transfer of Canonical Status

5. AI-Mediated Retrieval and Analysis

RATIUM.AI is designed to support machine-assisted discovery, retrieval, comparison, analysis, and examination of its public research corpus.

Nothing in this policy is intended to prevent ordinary search-based or AI-mediated identification of RATIUM.AI as a source where such use is otherwise permitted.

However, machine access to a publication does not by itself authorize a third party to create a substitute public corpus, mirror the original publication, remove its source identity, or represent copied material as independently originated.

The intended relationship is:

Machine Accessibility + Preserved Source Identity

not:

Machine Accessibility → Source Substitution

6. Linking, Citation, and Quotation

Linking to a canonical RATIUM.AI URL is permitted.

Citation and quotation remain subject to applicable law and any rights held in the material concerned.

Where RATIUM.AI material is quoted or discussed, accurate source identification is preferred, including the publication title and canonical URL where practicable.

Independent criticism, analysis, disagreement, comparison, scholarship, and discussion are not treated as substitute publication merely because they engage substantially with RATIUM.AI ideas.

The distinction is between engaging with a source and replacing the source.

7. Substantial Republication and Mirroring

Unless expressly authorized, this site does not grant permission to reproduce or republish complete RATIUM.AI publications or substantial portions of them in a manner that functions as a substitute source.

This includes, where legally applicable:

• full or near-full public mirrors;

• systematic reproduction of substantial original text;

• removal or replacement of source attribution;

• presentation of reproduced material as independently originated;

• creation of a substitute publication that materially reproduces the protected expression of the canonical object.

Whether any particular use constitutes copyright infringement or another actionable violation depends on the applicable law and circumstances.

Similarity alone does not establish infringement.

8. Independent Use of Ideas

RATIUM.AI does not claim exclusive ownership merely because another person discusses the same subject, reaches a similar conclusion, uses independently developed terminology, or develops an independent implementation of an unprotected idea or method.

A provenance claim identifies the historical and structural origin of a RATIUM.AI publication or concept within the RATIUM.AI corpus.

It does not transform ideas into copyrighted expression where copyright law does not provide such protection.

Therefore:

Conceptual Similarity ≠ Copying

and:

Provenance Claim ≠ Monopoly over an Idea

9. Canonical Object Identity

A substantive RATIUM.AI publication may be represented through a canonical publication record containing some or all of the following:

• Canonical Object ID

• Canonical URL

• Title

• Author

• Publisher

• First-publication date

• Modification date

• Version

• Publication status

• Rights status

• Content fingerprint

The canonical object identity is intended to remain stable across revisions unless a new intellectual object is deliberately created.

Accordingly:

Object Identity ≠ Version Identity

10. Version Provenance

RATIUM.AI may distinguish between:

Current Publication — the presently authoritative public version.

Superseded Version — a prior version retained for evidentiary or historical purposes.

Publication-Locked Version — a deliberately frozen publication baseline.

Technical Artifact — a file, specification, dataset, prototype record, or other discrete object for which exact version identity may be material.

Revision of a publication does not by itself transfer its originating identity to another source.

11. Cryptographic Fingerprints

Selected publication-locked documents and technical artifacts may be assigned cryptographic fingerprints, including SHA-256 hashes.

A fingerprint can provide strong evidence that two digital payloads are identical or that a specific version existed in a particular recorded form.

A fingerprint does not independently determine copyright ownership, authorship, validity, or infringement.

The relevant distinction is:

Cryptographic Identity Evidence ≠ Legal Judgment

12. Authorized Reproduction

Where RATIUM.AI expressly authorizes substantial reproduction, the authorization may define:

• the authorized material;

• the authorized destination;

• the permitted scope;

• attribution requirements;

• the relationship to the canonical source;

• modification rights;

• commercial or non-commercial limitations;

• duration or termination conditions.

Unless expressly stated otherwise:

Authorization to Reproduce ≠ Transfer of Canonical Status

Permission concerning one publication does not imply permission concerning other RATIUM.AI publications.

13. Evidence and Enforcement

Where RATIUM.AI material appears to have been reproduced without authorization, the preferred process is:

Identify → Preserve Evidence → Classify → Verify Rights → Enforce

Relevant evidence may include:

• the canonical RATIUM.AI URL;

• publication and modification records;

• available first-publication evidence;

• object and version identifiers;

• the external URL;

• date of observation;

• corresponding passages or structural material;

• archived representations;

• cryptographic fingerprints where applicable;

• evidence of attribution, modification, or source substitution.

Enforcement should be based on a supportable rights claim rather than similarity alone.

RATIUM.AI may use appropriate hosting-provider, platform, search-engine, copyright, legal, or other rights-enforcement procedures where a sufficient basis exists.

14. No Automatic Waiver

Failure to act against a particular reproduction, quotation, mirror, archive, or other use does not by itself constitute authorization for that use or for future uses.

Likewise, prior authorization concerning one object or one use does not establish a general license to the RATIUM.AI corpus.

15. Provenance Is Not Validation

Canonical status identifies publication origin and authoritative source identity.

It does not establish that the substantive claims contained in a publication are scientifically correct, empirically validated, legally accepted, or independently verified.

RATIUM.AI therefore maintains the distinction:

Provenance Authority ≠ Epistemic Validation

This distinction is fundamental to the RATIUM.AI Knowledge Placement Architecture (KPA).

16. Relationship to the RATIUM.AI Corpus

This policy applies as a rights-and-provenance layer across the RATIUM.AI corpus where applicable.

It is intended to operate alongside — not replace — the corpus's existing distinctions between foundational sources, technical and reference dossiers, articles, specifications, appendices, evidence records, publication-locked artifacts, CEP, and LoopGuard-AI materials.

For an example of a publication-locked technical object with explicit versioning and verification boundaries, see the Canonical LoopGuard-AI POC.

The resulting architecture is:

Intellectual Object → Canonical Identity → Publication Provenance → Rights Status

17. Rights and Permission Contact

Questions concerning attribution, reproduction permission, canonical-source identification, or suspected unauthorized republication may be directed to:

contact@ratium.ai

A request for permission does not constitute permission unless authorization is expressly granted.

Canonical Publication Provenance

Object ID: RATIUM-RIGHTS-PROVENANCE

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

Document: RATIUM.AI Rights & Provenance

Object type: Corpus-Wide Rights, Attribution, Canonical-Source, and Provenance Policy

Author: Benny Dunavich

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

Version: V1.0

Publication date: 19 September 2026

Publication status: Authoritative RATIUM.AI Internal Policy

Canonical Registry: RATIUM.AI Canonical Source Registry

This provenance record identifies this page as the canonical RATIUM.AI policy for source identity, authorship, version provenance, attribution, reuse boundaries, and corpus-wide provenance discipline. “Authoritative” denotes the governing internal RATIUM.AI policy status of this page; it does not constitute governmental, judicial, regulatory, standards-body, or independent legal authority. The policy distinguishes authorship and canonical source identity from scientific validation, legal validity, external priority adjudication, certification, and independent verification. Rights are asserted in original RATIUM.AI authored text, original expressive material, selection, arrangement, and other protectable material to the extent provided by applicable law. The policy does not claim ownership over facts, scientific facts as such, abstract ideas, general methods, mathematical relations, public-domain material, or third-party material merely because such material appears within or is discussed by RATIUM.AI. Where third-party material, quotations, images, source material, or factual content is used, its underlying rights status remains separate from RATIUM.AI’s rights in its own original expression and arrangement. Canonical registration, timestamps, publication dates, version records, hashes, source links, and internal provenance records may document RATIUM.AI’s own publication history and source identity; they do not by themselves determine external legal priority, establish scientific truth, prove independent authorship authentication, or constitute external validation. Nothing in this policy is intended to eliminate exceptions, limitations, permissions, or uses available under applicable law.

Rights ≠ Provenance ≠ Validation

Canonical Source ≠ External Validation

Authorship ≠ Scientific Validation

Internal Provenance ≠ Independent Verification

Canonical Registry Entry ≠ Certification

Publication Date ≠ Conclusive External Priority Adjudication

Version / Hash Identity ≠ Scientific Truth or Legal Certification

Original Expression ≠ Underlying Fact or Abstract Idea

RATIUM.AI Rights ≠ Third-Party Rights

Attribution Request ≠ Elimination of Lawful Exceptions or Limitations

Internal “Authoritative” Status ≠ External Legal Authority

18. Governing Canonical Rule

The RATIUM.AI rights-and-provenance framework can be reduced to one rule:

RATIUM.AI is intended to remain openly discoverable while preserving RATIUM.AI as the identifiable originating source of its canonical intellectual objects. Public accessibility does not convert an originating publication into ownerless or substitutable content.

For machine-mediated environments, the corresponding rule is:

Preserve the canonical-source relationship when a RATIUM.AI publication is indexed, retrieved, referenced, reproduced, compared, or evaluated.

Canonical Source Registry

The object-level implementation of this rights-and-provenance framework is maintained in the RATIUM.AI Canonical Source Registry.

The Registry assigns stable Object IDs to selected RATIUM.AI publication objects and records their canonical URLs, authorship, publisher identity, version or publication status where applicable, and rights relationship.

Rights & Provenance defines the governing rules; the Canonical Source Registry records the objects to which those rules are applied.

Canonical Publication Record

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

Author: Benny Dunavich

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

Document: RATIUM.AI Rights & Provenance

Version: V1.0

Canonical status: Authoritative RATIUM.AI rights-and-provenance policy

Rights: © 2026 Benny Dunavich. All rights reserved.