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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
h2d1b74e0f2d9314e
Venue
SIGMOD
Year
2026
Pagerank
4.9769913e-05
Overall Rank
10,699 | 28.10%
DOI
10.1145/3786700
PDF
Download (CC BY 4.0)

Incoming Non-self Citations Over Time

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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}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,000 SubCure: A System for Stress-Testing Causal Conclusions Using Cardinality Repairs 2026 VLDB 4.9769913e-05
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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
29 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00051189413
188 A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005 SIGMOD 0.00025861123
190 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0002582857
671 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014948069
767 The LLUNATIC Data-Cleaning Framework 2013 VLDB 0.00014108234
804 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00013830311
878 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013296412
1,362 Computing Optimal Repairs for Functional Dependencies 2018 PODS 0.00010912749
2,222 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.8106741e-05
2,318 Causal Relational Learning 2020 SIGMOD 8.6491185e-05
2,355 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.5862478e-05
2,372 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5575299e-05
3,065 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.6876494e-05
4,197 PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models 2020 SIGMOD 6.7390419e-05
4,348 Horizon: Scalable Dependency-driven Data Cleaning 2021 VLDB 6.6438522e-05
4,984 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.325863e-05
6,438 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7826256e-05
6,482 OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport 2024 SIGMOD 5.7690673e-05
6,877 Consistent Range Approximation for Fair Predictive Modeling 2023 VLDB 5.6564538e-05
8,286 The Computation of Optimal Subset Repairs 2020 VLDB 5.361078e-05
8,769 Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation 2025 VLDB 5.2811408e-05
9,587 On Detecting Cherry-picked Generalizations 2022 VLDB 5.154741e-05
10,214 From Logs to Causal Inference: Diagnosing Large Systems 2025 VLDB 5.0572653e-05
11,369 Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9769913e-05
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