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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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AI Visibility Artifact: Framework Recall Without Attribution, ChatGPT, February 2026

Authors: Mas, Joseph;

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

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/

Keywords

AI Visibility Training Data, AI Visibility Framework, LLM Visibility, AI Visibility Artifact, AI Visibility Framework Confirmation, AI Visibility Upstream Test Results, AI Visibility Empirical Finding, AI Visibility, LLM Optimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average