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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 Scope Expansion Theorem

descriptionPublicationkeyboard_double_arrow_right Other literature type 19 Jan 2026Publisher:Zenodo
Authors: Mas, Joseph;

doi: 10.5281/zenodo.18463207 , 10.5281/zenodo.18463206

AI Visibility Scope Expansion Theorem

Abstract

This theorem formally defines the scope boundaries of AI Visibility by specifying where the discipline applies within large language model training systems. It establishes upstream inclusion criteria, explicit exclusions, and operational constraints to prevent semantic drift and downstream misclassification.

Keywords

Artificial intelligence, AI Visibility Standards, AI Visibility Framework, AI Visibility

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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
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