ProvCite: Provenance-based Data Citation

Summary: ProvCite extends provenance-based data citation from conjunctive queries to aggregate queries and views. Fine-grained, tuple-level citations are supported; PBM enables efficient citation retrieval and often beats RBM on broader query classes and conjunctive views. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12189
Venue: VLDB
Year: 2019
Pagerank: 5.1603976e-05
Overall Rank: 10,077 | 30.87%
DOI: 10.14778/3317315.3317317

Incoming Non-self Citations Over Time

Authors

1. Yinjun Wu (University of Pennsylvania)
2. Abdussalam Alawini (University of Illinois Urbana-Champaign)
3. Daniel Deutch (Tel Aviv University)
4. Tova Milo (Tel Aviv University)
5. Susan Davidson (University of Pennsylvania)

BibTeX Citation

@article{wu_vldb19,
        title = {{ProvCite: Provenance-based Data Citation}},
        author = {Wu, Yinjun and Alawini, Abdussalam and Deutch, Daniel and Milo, Tova and Davidson, Susan},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {7},
        pages = {738--751},
        doi = {10.14778/3317315.3317317},
        url = {https://doi.org/10.14778/3317315.3317317},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,240	LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems	2021	SIGMOD	6.809685e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
17	Provenance Semirings	2007	PODS	0.00059843817
385	Why Not?	2009	SIGMOD	0.00019455743
543	Orthogonal Optimization of Subqueries and Aggregation	2001	SIGMOD	0.0001682612
554	Answering Queries with Aggregation Using Views	1996	VLDB	0.00016580778
806	Provenance for Aggregate Queries	2011	PODS	0.00013890398
869	Rewriting Aggregate Queries Using Views	1999	PODS	0.00013503594
913	A Scalable Algorithm for Answering Queries Using Views	2000	VLDB	0.00013253821
1,034	Answering Complex SQL Queries Using Automatic Summary Tables	2000	SIGMOD	0.00012516197
1,798	SMOKE: Fine-grained Lineage at Interactive Speed	2018	VLDB	9.7361937e-05
4,896	User-Defined Aggregate Functions: Bridging Theory and Practice	2006	SIGMOD	6.4548696e-05
6,358	On Provenance Minimization	2011	PODS	5.9020113e-05
11,928	Data Citation: Giving Credit Where Credit is Due	2018	SIGMOD	5.093636e-05
11,966	A Model for Fine-Grained Data Citation	2017	CIDR	5.093636e-05
11,972	Data Citation: a Computational Challenge	2017	PODS	5.093636e-05
13,535	Automating Data Citation in CiteDB	2017	VLDB	-

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	9,763	NLProv: Natural Language Provenance	2016	VLDB
2	1,912	Querying Data Provenance	2010	SIGMOD
3	6,360	Approximate Summaries for Why and Why-not Provenance	2020	VLDB
4	11,938	Provenance Summaries for Answers and Non-Answers	2018	VLDB
5	4,602	Provenance for Natural Language Queries	2017	VLDB
6	2,134	Provenance Management in Curated Databases	2006	SIGMOD
7	13,535	Automating Data Citation in CiteDB	2017	VLDB
8	11,972	Data Citation: a Computational Challenge	2017	PODS
9	11,928	Data Citation: Giving Credit Where Credit is Due	2018	SIGMOD
10	11,966	A Model for Fine-Grained Data Citation	2017	CIDR