Indexed metadata

Machine text attribution: visualization of results

R. A. Svetlov, Alexander N. Kabanov

Source record

Source: Crossref

Published: Aug 31, 2026

DOI: 10.24147/2222-8772.2026.2.95-99

Open original source ↗

Source abstract

The article considers methods for visualizing the results of machine text attribution: dendrograms, consensus networks, PCA projections, and the rolling window method. Their advantages and disadvantages are analyzed, as well as development prospects in the context of the widespread use of LLMs and the need for interpretability for non-specialists.

Evidence graph

No public relationships recorded yet.

Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.