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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
4.9769913e-05
Overall Rank
10,537 | 29.18%
DOI
10.1145/3749166

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Authors

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}
}

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Outgoing Citations (Sorted by Pagerank)

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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 0.00029189529
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027827605
350 Discovering Denial Constraints 2013 VLDB 0.00020244085
435 Mining Database Structure; Or, How to Build a Data Quality Browser 2002 SIGMOD 0.0001831946
695 Algorithms for Mining Distance-Based Outliers in Large Datasets 1998 VLDB 0.00014696154
728 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014436728
767 The LLUNATIC Data-Cleaning Framework 2013 VLDB 0.00014108234
1,115 Foofah: Transforming Data By Example 2017 SIGMOD 0.00011958625
2,054 Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms 2016 VLDB 9.1158071e-05
2,057 Combining Quantitative and Logical Data Cleaning 2016 VLDB 9.1086574e-05
2,372 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5575299e-05
2,600 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.2346824e-05
2,748 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.0572603e-05
2,967 Towards Dependable Data Repairing with Fixing Rules 2014 SIGMOD 7.8016942e-05
3,194 A Statistical Perspective on Discovering Functional Dependencies in Noisy Data 2020 SIGMOD 7.5469742e-05
6,734 On Multiple Semantics for Declarative Database Repairs 2020 SIGMOD 5.6919385e-05
7,510 Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems 2021 SIGMOD 5.504811e-05
7,742 Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes 2021 SIGMOD 5.4599258e-05
9,014 The Cost of Representation by Subset Repairs 2025 VLDB 5.2364868e-05
9,201 Data-Driven Insight Synthesis for Multi-Dimensional Data 2024 VLDB 5.2086045e-05
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