Preprints is a discovery engine for recent arXiv preprints in computer science that uses advanced bibliometric analysis to spot potentially impactful breakthroughs early, amid the large volume of new papers. It is positioned to bridge the lag of traditional peer review so users can find important work sooner.
The method has two steps: network analysis treats citation links as a directed acyclic graph and uses algorithms to assess centrality and temporal relevance for theoretical grounding; and author track record aggregates metrics such as h-indices, citation patterns and publication history to predict reliability before citations accumulate. It also offers resources such as the Preprints App and Preprints Chat, and its discovery engine keeps tracking potentially influential papers. The interface loads new papers continuously and publishes its scoring method so researchers can screen work before peer review.
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