Cornell method predicts hit papers via downloads

Cornell University researchers published datasets from arXiv and GitHub to test lead-lag forecasting, predicting future paper and project importance. Early downloads from 2.3 million arXiv papers forecast five-year citation popularity within a month. The method also worked on nearly 3 million GitHub repositories, where early stars predicted future forks.