Temporal Consistency in AI Research Articles: Measuring Citation Recency and Knowledge Cutoff Artifacts

July 27, 2026Open Access

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Key Points

This research aims to evaluate the temporal consistency in AI research articles by analyzing citation recency and knowledge cutoff artifacts.
Analyzed the temporal aspects of AI research articles and their knowledge cutoff dates.
Utilized statistical methods to measure the impact of recency on perceived article validity.
Found a significant correlation between citation recency and article validity (p<0.05).
Identified knowledge cutoff artifacts that lead to misinterpretation of research relevance.
Demonstrated that older citations negatively impact the perceived quality of AI articles.

Measures citation recency and knowledge cutoff artifacts in AI research, indicating effects on article validity.

Research article: Temporal Consistency in AI Research Articles: Measuring Citation Recency and Knowledge Cutoff Artifacts

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Ивченко et al. (2026) studied this question.

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