ExTuNe: Explaining Tuple Non-conformance
Summary: ExTuNe defines data invariants—implicit multi-attribute constraints that capture dataset conformance—and uses causal interventions to attribute non-conformance to specific attributes. It ranks test tuples by violation degree and visualizes attribute responsibility with heat maps to enable explanations and trusted ML. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anna Fariha
- 2. Ashish Tiwari
- 3. Arjun Radhakrishna
- 4. Sumit Gulwani
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,221 | Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems | 2021 | SIGMOD | 5.7238672e-05 |
| 7,609 | CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning | 2021 | SIGMOD | 5.6418808e-05 |
| 8,055 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 5.5557054e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 187 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.00026500416 |
| 5,008 | CAPE: Explaining Outliers by Counterbalancing | 2019 | VLDB | 6.4715689e-05 |
| 5,208 | ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies | 2019 | SIGMOD | 6.3862502e-05 |
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| 632 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB | 0.00015670341 |
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