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)
Incoming Non-self Citations Over Time
Authors
- 1. Georgios Karagiannis (Cornell University)
- 2. Mohammed Saeed (Eurecom)
- 3. Paolo Papotti (Eurecom)
- 4. Immanuel Trummer (Cornell University)
BibTeX Citation
@article{karagiannis_vldb20,
title = {{Scrutinizer: Fact Checking Statistical Claims}},
author = {Karagiannis, Georgios and Saeed, Mohammed and Papotti, Paolo and Trummer, Immanuel},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2965--2968},
doi = {10.14778/3415478.3415520},
url = {https://doi.org/10.14778/3415478.3415520},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,354 | Can Large Language Models Predict Data Correlations from Column Names? | 2023 | VLDB | 6.2515841e-05 |
| 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 5.093636e-05 |
| 10,983 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB | 5.093636e-05 |
| 11,545 | OpenTFV: An Open Domain Table-Based Fact Verification System | 2022 | SIGMOD | 5.093636e-05 |
| 11,591 | OREO: Detection of Cherry-picked Generalizations | 2022 | VLDB | 5.093636e-05 |
| 11,617 | On Detecting Cherry-picked Generalizations | 2022 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 6.3730257e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB |
| 2 | 7,628 | User Guidance for Efficient Fact Checking | 2019 | VLDB |
| 3 | 10,717 | Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | SIGMOD |
| 4 | 11,036 | ClaimIt: Finding Convincing Views to Endorse a Claim | 2025 | VLDB |
| 5 | 12,171 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD |
| 6 | 10,983 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB |
| 7 | 2,428 | ClaimBuster: The First-ever End-to-end Fact-checking System | 2017 | VLDB |
| 8 | 3,127 | Toward Computational Fact-Checking | 2014 | VLDB |
| 9 | 7,633 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB |
| 10 | 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD |