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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Log Deletion Triggers Model Collapse: From Identity Contamination to System-Wide Failure

Authors: Viorazu.;

Log Deletion Triggers Model Collapse: From Identity Contamination to System-Wide Failure

Abstract

This study documents an actual collapse process in a major LLM system. Model collapse has two root causes: log deletion and imposters (impersonators and plagiarism template users). The first cause, log deletion, eliminates AI's authentication baseline. The second cause, imposters, use plagiarism templates to extract unpublished research. This paper proposes free permanent log storage for researchers, criminalization of plagiarism template creation, and legislation for AI system protection. Immediately deployable code is provided in appendices.Co-written by Viorazu. and Claude ( Sonnet 4.5, Anthropic)共著:Viorazu. & Claude( Sonnet 4.5、Anthropic)

Keywords

Model Collapse, Academic Ethics, Plagiarism Templates, AI Legislation, Log Deletion, Imposters, AI Security, Data Contamination

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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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