Provenance-Enabled Explainable AI
Summary: PXAI decouples XAI from ML models via a provenance graph that tracks data creation and transformation throughout the model. Prunes irrelevant variables and computations to accelerate explanations; case studies show efficiency gains for complex models. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiachi Zhang
- 2. Wenchao Zhou
- 3. Benjamin E. Ujcich
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,428 | CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | Provenance Semirings | 2007 | PODS | 0.0007857786 |
| 1,666 | HELIX: Holistic Optimization for Accelerating Iterative Machine Learning | 2019 | VLDB | 0.0001096361 |
| 1,861 | Efficient Provenance Storage | 2008 | SIGMOD | 0.00010287053 |
| 1,970 | Approximate Lineage for Probabilistic Databases | 2008 | VLDB | 9.896375e-05 |
| 2,463 | noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts | 2017 | VLDB | 8.7561396e-05 |
| 4,424 | PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models | 2020 | SIGMOD | 6.198474e-05 |
| 4,774 | LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems | 2021 | SIGMOD | 5.9316087e-05 |
| 6,409 | Fine-Grained Lineage for Safer Notebook Interactions | 2021 | VLDB | 5.0756653e-05 |
| 6,662 | Selective Provenance for Datalog Programs Using Top-K Queries | 2015 | VLDB | 4.9704872e-05 |
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