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Stress-Testing Causal Claims via Cardinality Repairs

Summary: SubCure stress-tests observational causal claims by solving cardinality-repair problems: find minimum tuple/pattern deletions that move an estimated effect into a target range. Shows even small data errors can flip causal conclusions; NP-complete formulations, then scalable incremental/unlearning-based auditing. (summarized by gpt-5.4-mini on Apr 11 2026)

Paper ID
7716
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,502 | 27.95%
DOI
10.1145/3786700

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Authors

BibTeX Citation

@inproceedings{gabbay_sigmod26,
        title = {{Stress-Testing Causal Claims via Cardinality Repairs}},
        author = {Gabbay, Yarden and Guan, Haoquan and Almagor, Shaull and Rezig, El Kindi and Youngmann, Brit and Salimi, Babak},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786700},
        url = {https://dl.acm.org/doi/10.1145/3786700},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
27 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00052255472
185 A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005 SIGMOD 0.00026231189
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00026096009
663 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015174751
800 The LLUNATIC Data-Cleaning Framework 2013 VLDB 0.00013911223
858 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.0001356511
863 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00013531835
1,399 Computing Optimal Repairs for Functional Dependencies 2018 PODS 0.00010893312
2,195 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.9713779e-05
2,374 Causal Relational Learning 2020 SIGMOD 8.6755064e-05
2,546 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.4340413e-05
3,000 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.8677069e-05
3,004 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.8608629e-05
4,130 PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models 2020 SIGMOD 6.8839621e-05
4,488 Horizon: Scalable Dependency-driven Data Cleaning 2021 VLDB 6.668457e-05
4,876 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.4687705e-05
6,352 OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport 2024 SIGMOD 5.9042757e-05
6,932 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7362362e-05
7,838 Consistent Range Approximation for Fair Predictive Modeling 2023 VLDB 5.5343411e-05
8,103 The Computation of Optimal Subset Repairs 2020 VLDB 5.4867244e-05
8,598 Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation 2025 VLDB 5.4049137e-05
10,018 From Logs to Causal Inference: Diagnosing Large Systems 2025 VLDB 5.1757914e-05
10,979 Finding Convincing Views to Endorse a Claim 2025 VLDB 5.093636e-05
11,617 On Detecting Cherry-picked Generalizations 2022 VLDB 5.093636e-05
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