{"ID":2880699,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.14139","arxiv_id":"2508.14139","title":"The Statistical Validation of Innovation Lens","abstract":"Information overload and the rapid pace of scientific advancement make it increasingly difficult to evaluate and allocate resources to new research proposals. Is there a structure to scientific discovery that could inform such decisions? We present statistical evidence for such structure, by training a classifier that successfully predicts high-citation research papers between 2010-2024 in the Computer Science, Physics, and PubMed domains.","short_abstract":"Information overload and the rapid pace of scientific advancement make it increasingly difficult to evaluate and allocate resources to new research proposals. Is there a structure to scientific discovery that could inform such decisions? We present statistical evidence for such structure, by training a classifier that...","url_abs":"https://arxiv.org/abs/2508.14139","url_pdf":"https://arxiv.org/pdf/2508.14139v1","authors":"[\"Giacomo Radaelli\",\"Jonah Lynch\"]","published":"2025-08-19T13:47:24Z","proceeding":"cs.DL","tasks":"[\"cs.DL\",\"cs.AI\"]","methods":"[]","has_code":false}