Hypothetical Reasoning via Provenance Abstraction
Summary: Provenance abstraction via user-defined trees coarsens provenance variables for hypothetical scenarios with reduced storage. Formalizes size-granularity tradeoff, analyzes complexity, and offers algorithms/heuristics with speedups and accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Deutch
- 2. Yuval Moskovitch
- 3. Noam Rinetzky
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,617 | HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach | 2022 | SIGMOD | 5.4085897e-05 |
| 8,886 | Provenance-based Data Skipping | 2022 | VLDB | 4.4237386e-05 |
| 11,474 | On Optimizing the Trade-off between Privacy and Utility in Data Provenance | 2021 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,725 | OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs | 2023 | VLDB | 4.453957e-05 |
| 8,965 | Computing How-Provenance for SPARQL Queries via Query Rewriting | 2021 | VLDB | 4.4163852e-05 |
| 9,183 | Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries | 2020 | SIGMOD | 4.3778211e-05 |
| 1,106 | Provenance for Aggregate Queries | 2011 | PODS | 0.00013976386 |
| 2,182 | Querying Data Provenance | 2010 | SIGMOD | 9.3596252e-05 |
| 6,700 | Approximate Summaries for Why and Why-not Provenance | 2020 | VLDB | 4.9534371e-05 |
| 7,556 | Interactive Query Explanations Using Fine Grained Provenance | 2022 | SIGMOD | 4.7072603e-05 |
| 6,665 | Selective Provenance for Datalog Programs Using Top-K Queries | 2015 | VLDB | 4.9657158e-05 |
| 6,187 | On Provenance Minimization | 2011 | PODS | 5.1611195e-05 |
| 11,474 | On Optimizing the Trade-off between Privacy and Utility in Data Provenance | 2021 | SIGMOD | 4.1905499e-05 |