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Scrutinizer: Fact Checking Statistical Claims

Summary: Scrutinizer translates statistical claims into SQL and proposes query fragments to aid fact checkers. A cost-based optimizer plans verification steps, uses executions to prune alternatives, and classifiers learn from feedback for unseen claims. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12176
Venue
VLDB
Year
2020
Pagerank
5.900769e-05
Overall Rank
4,816 | 66.50%
DOI
10.14778/3415478.3415520

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
5,509 Can Large Language Models Predict Data Correlations from Column Names? 2023 VLDB 5.4703368e-05
10,740 Finding Convincing Views to Endorse a Claim 2025 VLDB 4.1945683e-05
10,747 CEDAR: A System for Cost-Efficient Data-Driven Claim Verification 2025 VLDB 4.1945683e-05
11,347 OpenTFV: An Open Domain Table-Based Fact Verification System 2022 SIGMOD 4.1945683e-05
11,393 OREO: Detection of Cherry-picked Generalizations 2022 VLDB 4.1945683e-05
11,419 On Detecting Cherry-picked Generalizations 2022 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4,972 Verifying Text Summaries of Relational Data Sets 2019 SIGMOD 5.7931494e-05
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