Causal attribution of regional preprint citation trends to local research cultures

Ascertain whether regional differences in AI policy preprint citation rates across the United States, Europe, and South Korea are causally attributable to local research cultures, policy environments, and open science maturity, rather than being driven by selection biases in Web of Science and arXiv indexing.

Background

The paper observes broadly similar growth in preprint citation rates across regions but notes that attributing these differences to cultural or policy factors may be premature without broader data coverage.

A more rigorous causal analysis would require triangulating multiple bibliometric sources to rule out database-centric biases.