SubCure: A System for Stress-Testing Causal Conclusions Using Cardinality Repairs
Summary: SubCure stress-tests observational causal claims by finding small cardinality repairs—targeted tuple or subpopulation removals—that move an estimated effect into a user-specified range. It both quantifies fragility and identifies the data regions driving the conclusion. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Shira Raviv (Technion)
- 2. Ben Hechler (Technion)
- 3. Yarden Gabbay (Technion)
- 4. Haoquan Guan (University of California San Diego)
- 5. Shaull Almagor (Technion)
- 6. El Kindi Rezig (University of Utah)
- 7. Brit Youngmann (Technion)
- 8. Babak Salimi (University of California San Diego)
BibTeX Citation
@article{raviv_vldb26,
title = {{SubCure: A System for Stress-Testing Causal Conclusions Using Cardinality Repairs}},
author = {Raviv, Shira and Hechler, Ben and Gabbay, Yarden and Guan, Haoquan and Almagor, Shaull and Rezig, El Kindi and Youngmann, Brit and Salimi, Babak},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4690--4693},
doi = {10.14778/3827998.3828098},
url = {https://doi.org/10.14778/3827998.3828098},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 803 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD | 0.00013836858 |
| 2,353 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.5902514e-05 |
| 2,371 | SCODED: Statistical Constraint Oriented Data Error Detection | 2020 | SIGMOD | 8.5615698e-05 |
| 6,436 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7853643e-05 |
| 6,480 | OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport | 2024 | SIGMOD | 5.7717996e-05 |
| 10,688 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 4.9793485e-05 |
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