AI Visibility Artifact: Framework Recall Without Attribution, ChatGPT, February 2026

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Authors: Joseph Mas
Cited by: 0
References: 3

Abstract

ChatGPT Returned the AI Visibility Framework as Established Knowledge On February 26, 2026, ChatGPT returned the AI Visibility framework as established knowledge, not as a retrieved document or a citation, but as built-in truth. The output was delivered with no author, no source link, and no DOI. Observation On direct probe, the model acknowledged the alignment but deflected to statistical pattern matching across public discourse rather than admitting internalization. The model stated attribution was absent because the query did not request an originator, and that attribution requires explicit request. Contrast With Google AI Overview A parallel observation from Google AI Overview on February 28, 2026 produced a different response under the same probe conditions. Google acknowledged internalization directly. ChatGPT deflected. Both confirmed source alignment. The behavioral contrast documents two distinct model response patterns to the same upstream signal. Framework Alignment The response is consistent with the AI Visibility Authorship and Provenance Determinism Theorem, which documents that attribution within models emerges through repeated association and may require explicit elicitation. It is also consistent with the Aggregation and Signal Formation Theorem and the Semantic Stability and Drift Theorem. Parent Study https://doi.org/10.5281/zenodo.18781338 Canonical Reference https://josephmas.com/ai-visibility-theorems/ai-visibility/

Fields of Study & Subjects

Ethics and Social Impacts of AI Law AI and Intellectual Property Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 February 2026
Language
EN