Guardrail: Automated Integrity Constraint Synthesis From Noisy Data

Summary: Guardrail expresses integrity constraints as programs in a DSL that can be synthesized robustly from noisy data to detect and repair errors beyond classical FDs. Its synthesis algorithm uses statistical structural priors to sketch and prune search, yielding ~87% error reduction on ML‑augmented SQL across real datasets (open-source). (summarized by gpt-5-mini on Feb 11 2026)

Paper ID: h80a155c27d3c8bba
Venue: SIGMOD
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,526 | 29.23%
DOI: 10.1145/3749166

Incoming Non-self Citations Over Time

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Authors

1. Pingchuan Ma (Hong Kong University of Science and Technology)
2. Zhaoyu Wang (Hong Kong University of Science and Technology)
3. Zhenlan Ji (Hong Kong University of Science and Technology)
4. Zongjie Li (Hong Kong University of Science and Technology)
5. Ao Sun (Hong Kong University of Science and Technology)
6. Shuai Wang (Hong Kong University of Science and Technology)

BibTeX Citation

@inproceedings{ma_sigmod26,
        title = {{Guardrail: Automated Integrity Constraint Synthesis From Noisy Data}},
        author = {Ma, Pingchuan and Wang, Zhaoyu and Ji, Zhenlan and Li, Zongjie and Sun, Ao and Wang, Shuai},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749166},
        url = {https://dl.acm.org/doi/10.1145/3749166},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
142	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.00029202746
160	CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies	2004	SIGMOD	0.00027837289
350	Discovering Denial Constraints	2013	VLDB	0.00020253521
435	Mining Database Structure; Or, How to Build a Data Quality Browser	2002	SIGMOD	0.0001832766
695	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00014702685
727	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014443394
767	The LLUNATIC Data-Cleaning Framework	2013	VLDB	0.00014114806
1,115	Foofah: Transforming Data By Example	2017	SIGMOD	0.00011964111
2,051	Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms	2016	VLDB	9.1199511e-05
2,055	Combining Quantitative and Logical Data Cleaning	2016	VLDB	9.1128336e-05
2,371	SCODED: Statistical Constraint Oriented Data Error Detection	2020	SIGMOD	8.5615698e-05
2,598	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.2385793e-05
2,748	Uni-Detect: A Unified Approach to Automated Error Detection in Tables	2019	SIGMOD	8.0610697e-05
2,964	Towards Dependable Data Repairing with Fixing Rules	2014	SIGMOD	7.8052551e-05
3,193	A Statistical Perspective on Discovering Functional Dependencies in Noisy Data	2020	SIGMOD	7.5505481e-05
6,728	On Multiple Semantics for Declarative Database Repairs	2020	SIGMOD	5.6946342e-05
7,505	Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems	2021	SIGMOD	5.5074181e-05
7,738	Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes	2021	SIGMOD	5.4623434e-05
9,004	The Cost of Representation by Subset Repairs	2025	VLDB	5.2389669e-05
9,192	Data-Driven Insight Synthesis for Multi-Dimensional Data	2024	VLDB	5.2110714e-05

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