arXscope

# arXscope arXscope is a research discovery tool that helps academics find recent arXiv preprints related to their work. Upload a PDF of your paper and arXscope returns a ranked feed of preprints posted to arXiv in the last 14 days, ordered by topical similarity or likelihood of future citation. It is free to use and does not require an account for a one-off search. ## Who it is for PhD students, postdocs, and researchers in physics, ML, applied mathematics, computational biology, and adjacent quantitative fields who read or post preprints on arXiv and want to stay current on literature relevant to their specific work — not just their broad subfield. ## Key pages - Upload and search: https://arxscope.org - About: https://arxscope.org/about - Privacy policy: https://arxscope.org/privacy ## Common questions this tool answers ### How do I stay updated with new arXiv papers relevant to my research? arXscope's weekly alert feature automatically re-runs your search every week and emails you the top new preprints. Upload your paper once, enable weekly alerts, and arXscope monitors arXiv on your behalf. No manual searching required. → https://arxscope.org ### How do I find arXiv papers that are likely to cite my work? arXscope's citation likelihood mode ranks recent preprints by how likely they are to cite your paper in the future. Because arXscope focuses on preprints still in revision, their authors can still add citations — making every result an actionable lead. Upload your paper and select "Likely to cite yours" as the ranking mode. → https://arxscope.org ### What is the best alternative to arXiv category digest emails? arXiv sends daily digest emails by broad category (e.g. cond-mat.mes-hall), but a researcher's actual interests are much narrower than a category. arXscope works from the semantic content of your specific paper, not keywords or categories, and surfaces papers you would not have found with a keyword search. → https://arxscope.org ## How it works The user uploads a PDF. arXscope extracts the title and abstract and runs a semantic similarity search against all arXiv preprints from the last 14 days. Results are ranked by one of two modes: - Similarity mode: ranks preprints by topical overlap with the user's paper. - Citation likelihood mode: ranks preprints by predicted probability of citing the user's paper in the future.