Pytheas: Pattern-based Table Discovery in CSV Files
Summary: Pytheas uses pattern-based line classification and column-value coherency to discover tables in loosely structured CSVs. It achieves precision/recall above 95% (vs ~89/81), generalizes across countries, and provides a confidence measure for potential errors. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,100 | Mondrian: Spreadsheet Layout Detection | 2022 | SIGMOD | 4.826163e-05 |
| 7,810 | Pollock: A Data Loading Benchmark | 2023 | VLDB | 4.6415099e-05 |
| 8,500 | A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science | 2021 | VLDB | 4.4920292e-05 |
| 11,423 | Detecting Layout Templates in Complex Multiregion Files | 2022 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,005 | Recovering Semantics of Tables on the Web | 2011 | VLDB | 0.00014694038 |
| 5,538 | Data-Driven Domain Discovery for Structured Datasets | 2020 | VLDB | 5.4520759e-05 |
| 814 | Finding Related Tables | 2012 | SIGMOD | 0.00016298739 |
| 7,423 | Table Extraction and Understanding for Scientific and Enterprise Applications | 2020 | VLDB | 4.729385e-05 |
| 8,915 | Making Table Understanding Work in Practice | 2022 | CIDR | 4.4229886e-05 |
| 1,316 | Harvesting Relational Tables from Lists on the Web | 2009 | VLDB | 0.00012616422 |
| 10,109 | Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations | 2026 | SIGMOD | 4.1905499e-05 |
| 2,638 | Schema Extraction for Tabular Data on the Web | 2013 | VLDB | 8.3995765e-05 |
| 11,350 | Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data | 2022 | SIGMOD | 4.1905499e-05 |
| 6,845 | A framework for annotating CSV-like data | 2016 | VLDB | 4.9045502e-05 |