2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/123113We describe a large-scale application of methods for finding plagiarism in research document collections. The methods are applied to a collection of 284,834 documents collected by arXiv.org over a 14 year period, covering a few different research disciplines. The methodology efficiently detects a variety of problematic author behaviors, and heuristics are developed to reduce the number of false positives. The methods are also efficient enough to implement as a real-time submission screen for a collection many times larger.Sixth International Conference on Data Mining (ICDM'06), Dec 2006DatabasesDigital LibrariesInformation RetrievalPlagiarism Detection in arXivtext