{"ID":2846490,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.01211","arxiv_id":"2511.01211","title":"Novelty and Impact of Economics Papers","abstract":"We propose a framework that recasts scientific novelty not as a single attribute of a paper, but as a reflection of its position within the evolving intellectual landscape. We decompose this position into two orthogonal dimensions: \\textit{spatial novelty}, which measures a paper's intellectual distinctiveness from its neighbors, and \\textit{temporal novelty}, which captures its engagement with a dynamic research frontier. To operationalize these concepts, we leverage Large Language Models to develop semantic isolation metrics that quantify a paper's location relative to the full-text literature. Applying this framework to a large corpus of economics articles, we uncover a fundamental trade-off: these two dimensions predict systematically different outcomes. Temporal novelty primarily predicts citation counts, whereas spatial novelty predicts disruptive impact. This distinction allows us to construct a typology of semantic neighborhoods, identifying four archetypes associated with distinct and predictable impact profiles. Our findings demonstrate that novelty can be understood as a multidimensional construct whose different forms, reflecting a paper's strategic location, have measurable and fundamentally distinct consequences for scientific progress.","short_abstract":"We propose a framework that recasts scientific novelty not as a single attribute of a paper, but as a reflection of its position within the evolving intellectual landscape. We decompose this position into two orthogonal dimensions: \\textit{spatial novelty}, which measures a paper's intellectual distinctiveness from its...","url_abs":"https://arxiv.org/abs/2511.01211","url_pdf":"https://arxiv.org/pdf/2511.01211v3","authors":"[\"Chaofeng Wu\"]","published":"2025-11-03T04:12:03Z","proceeding":"econ.GN","tasks":"[\"econ.GN\",\"cs.CE\",\"cs.CL\",\"cs.DL\"]","methods":"[\"Language Model\"]","has_code":false}