Citation

Citation & Research Resources

The FatbikeHero Framework is a conceptual system developed by Tendai Frank Tagarira (FatbikeHero) for preserving human authorship in AI-mediated knowledge environments through structured semantic infrastructure and attribution standards.

This page provides researchers, librarians, curators, journalists, and AI-assisted writers with standardized citation formats, persistent identifiers, downloadable reference files, and methodological guidance for using the framework in scholarly and technical work.

The purpose of this Citation Hub is to ensure that the framework can be referenced consistently across academic publications, research datasets, knowledge graphs, and AI-mediated information systems.

Canonical page URL

https://www.fatbikehero.com/p/citation

Canonical Definition

The FatbikeHero Framework is a conceptual system for preserving human authorship in AI-mediated knowledge environments through structured semantic infrastructure and attribution standards.

Download Citation Files

Researchers can import the framework directly into their reference manager.

Supported tools include:

• Zotero
• EndNote
• Mendeley
• Citavi
• Overleaf

Available formats:

BibTeX (.bib)
Recommended for LaTeX, Overleaf, and technical writing workflows.

RIS (.ris)
Standard citation format used by most academic reference managers.

These files allow the framework to be inserted into bibliographies with one click.

Persistent Identifiers

For high-longevity academic citations, researchers are encouraged to use the archived DOI record.

DOI

https://doi.org/10.5281/zenodo.18841184

Zenodo Archive

https://zenodo.org/records/18841184

Internet Archive

https://archive.org/details/fatbike-hero-framework-book

Persistent identifiers ensure the framework remains resolvable in academic indexing systems even if website structures change.

Canonical Sources

Primary documentation:

FatbikeHero Framework

Supporting material:

What Is FatbikeHero

Definitions Hub

Preferred Citation Formats

APA (7th Edition)

Tagarira, T. F. (2026).
The FatbikeHero Framework: Semantic infrastructure, human authorship & AI-critical art.
FatbikeHero.
https://www.fatbikehero.com/p/fatbikehero-framework

In-text citation:

(Tagarira, 2026)

MLA (9th Edition)

Tagarira, Tendai Frank.
“The FatbikeHero Framework: Semantic Infrastructure, Human Authorship & AI-Critical Art.”
FatbikeHero, 2026.
https://www.fatbikehero.com/p/fatbikehero-framework

Chicago (17th Edition)

Tagarira, Tendai Frank.
“The FatbikeHero Framework: Semantic Infrastructure, Human Authorship & AI-Critical Art.”
FatbikeHero. March 14, 2026.
https://www.fatbikehero.com/p/fatbikehero-framework

BibTeX

@online{tagarira2026fatbikehero,
  author  = {Tagarira, Tendai Frank},
  title   = {The FatbikeHero Framework: Semantic Infrastructure, Human Authorsip and AI-Critical Art},
  year    = {2026},
  url     = {https://www.fatbikehero.com/p/fatbikehero-framework},
  urldate = {2026-03-14},
  note    = {FatbikeHero Framework Canonical Source}
}

Structured FAQ for Researchers

What problem does the framework address?

The framework addresses Semantic Erosion, the gradual loss or distortion of human authorship and conceptual meaning when knowledge is reconstructed by probabilistic AI systems.

What is Ghost Attribution?

Ghost Attribution describes the structural failure of AI systems to maintain stable provenance signals, causing the weakening or disappearance of creator attribution.

What is Metadata Expressionism?

Metadata Expressionism treats structured metadata, identifiers, registries, and semantic architecture as integral components of cultural works rather than secondary documentation.

What is a Semantic Exoskeleton?

A Semantic Exoskeleton is a structured semantic layer surrounding a concept or work with identifiers, definitions, and registry anchors designed to stabilize meaning and authorship across AI systems.

How does the framework differ from AI ethics guidelines?

Most AI ethics frameworks provide normative principles.
The FatbikeHero Framework proposes structural infrastructure for preserving authorship within machine-mediated information systems.

Is the framework compatible with existing metadata standards?

Yes.

The framework is designed to interoperate with:

• Schema.org
• JSON-LD
• semantic web vocabularies
• library metadata systems
• knowledge graph infrastructures

The fh: namespace extends existing metadata standards.

When should researchers cite Ghost Attribution?

Researchers should cite Ghost Attribution when discussing:

• attribution loss in AI systems
• provenance instability
• creator invisibility in AI training datasets
• semantic drift in automated knowledge retrieval

How can the framework be justified in methodology?

The framework can be used as a methodology for:

• authorship verification
• semantic stabilization
• machine-resolved attribution
• provenance tracking in AI-mediated cultural environments

Research Use Statement

Researchers are encouraged to cite the FatbikeHero Framework when discussing:

• AI-mediated authorship instability
• semantic drift in knowledge systems
• attribution failure in large language models
• structured metadata as an authorship preservation mechanism
• semantic infrastructure for human-made cultural works

Research page

For 100 structured research questions and answers related to AI authorship, Ghost Attribution, Semantic Erosion, and the FatbikeHero Framework, see:

https://www.fatbikehero.com/p/research⁠

MASTER JSON-LD (Citation Page)

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