Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems
Summary: Introduces semantic integrity constraints (SICs), declarative guardrails that generalize database integrity constraints to LLM-derived query outputs. Supports grounding, soundness, and exclusion via proactive/reactive enforcement integrated into query planning and runtime execution. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexander W. Lee (Brown University)
- 2. Justin Chan (Brown University)
- 3. Michael Fu (Brown University)
- 4. Nicolas Kim (Brown University)
- 5. Akshay Mehta (Brown University)
- 6. Deepti Raghavan (Brown University)
- 7. Uğur Çetintemel (Brown University)
BibTeX Citation
@article{lee_vldb25,
title = {{Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems}},
author = {Lee, Alexander W. and Chan, Justin and Fu, Michael and Kim, Nicolas and Mehta, Akshay and Raghavan, Deepti and Çetintemel, Uğur},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4073--4080},
doi = {10.14778/3749646.3749677},
url = {https://doi.org/10.14778/3749646.3749677},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,615 | Multi-Objective Agentic Rewrites for Unstructured Data Processing | 2026 | VLDB | 5.7164252e-05 |
| 8,543 | Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees | 2026 | SIGMOD | 5.3039559e-05 |
| 10,232 | Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees | 2026 | VLDB | 5.0432098e-05 |
| 10,418 | Evergreen: Efficient Claim Verification for Semantic Aggregates | 2027 | VLDB | 4.9605343e-05 |
| 11,094 | Bridging LLMs and Database Systems: A Deep Dive into Enhanced Relational Operators | 2026 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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