Entity Density and Content Structure as Independent Levers on AI Citation Under Forced Retrieval: A Preregistration

A preregistered protocol (no results) testing whether entity density and content structure independently affect AI-engine citation under forced retrieval, across ChatGPT, Claude, Perplexity and Gemini answer-time agents. Registered before confirmatory data collection. Includes a 2x2 design, a synthetic control entity, binary citation scoring, a conservative noise threshold, an independent verification subset, and a declared competing interest.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21705818
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
preprint
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preprint

Entity Density and Content Structure as Independent Levers on AI Citation Under Forced Retrieval: A Preregistration

Artur Ferreira, Julio Arévalo Piedra
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
preprint

Entity Density and Content Structure as Independent Levers on AI Citation Under Forced Retrieval: A Preregistration

Artur Ferreira, Julio Arévalo Piedra
preprint en

Abstract

A preregistered protocol (no results) testing whether entity density and content structure independently affect AI-engine citation under forced retrieval, across ChatGPT, Claude, Perplexity and Gemini answer-time agents. Registered before confirmatory data collection. Includes a 2x2 design, a synthetic control entity, binary citation scoring, a conservative noise threshold, an independent verification subset, and a declared competing interest.

Zenodo (CERN European Organization for Nuclear Research)
Knowledge Unlatched (Germany) (DE), Grantmakers for Effective Organizations (US)
Artificial Intelligence in Healthcare and Education
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