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)
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Authors
- 1. Yarden Gabbay
- 2. Haoquan Guan
- 3. Shaull Almagor
- 4. El Kindi Rezig
- 5. Brit Youngmann
- 6. Babak Salimi
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