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Winnowing: Local Algorithms for Document Fingerprinting

Summary: Introduces local document fingerprinting—algorithms guaranteed to detect copies in large corpora. Proves a lower bound for any local approach and presents winnowing, an efficient method within 33% of that bound; validates on Web data and discusses MOSS usage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3422
Venue
SIGMOD
Year
2003
Pagerank
0.00017864657
Overall Rank
705 | 95.10%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
616 Copy Detection Mechanisms for Digital Documents 1995 SIGMOD 0.00019108201
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