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: hb15df469cbfd8410
Venue: VLDB
Year: 2019
Pagerank: 5.108228e-05
Overall Rank: 9,827 | 34.13%
DOI: 10.14778/3317315.3317317
PDF: Download (CC BY-NC-ND 4.0)

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 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,354	LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems	2021	SIGMOD	6.6318545e-05
10,899	Toward Temporal Attribution Analytics in Dataflows	2026	VLDB	4.9605343e-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	0.00059660827
389	Why Not?	2009	SIGMOD	0.00019254758
554	Orthogonal Optimization of Subqueries and Aggregation	2001	SIGMOD	0.00016487919
567	Answering Queries with Aggregation Using Views	1996	VLDB	0.00016228477
811	Provenance for Aggregate Queries	2011	PODS	0.00013713646
882	Rewriting Aggregate Queries Using Views	1999	PODS	0.00013239752
940	A Scalable Algorithm for Answering Queries Using Views	2000	VLDB	0.00012941424
1,059	Answering Complex SQL Queries Using Automatic Summary Tables	2000	SIGMOD	0.00012224962
1,722	SMOKE: Fine-grained Lineage at Interactive Speed	2018	VLDB	9.781628e-05
5,028	User-Defined Aggregate Functions: Bridging Theory and Practice	2006	SIGMOD	6.2956973e-05
6,472	On Provenance Minimization	2011	PODS	5.7561073e-05
12,276	Data Citation: Giving Credit Where Credit is Due	2018	SIGMOD	4.9605343e-05
12,313	A Model for Fine-Grained Data Citation	2017	CIDR	4.9605343e-05
12,319	Data Citation: a Computational Challenge	2017	PODS	4.9605343e-05
13,893	Automating Data Citation in CiteDB	2017	VLDB	-

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	9,980	NLProv: Natural Language Provenance	2016	VLDB
2	1,837	Querying Data Provenance	2010	SIGMOD
3	6,502	Approximate Summaries for Why and Why-not Provenance	2020	VLDB
4	12,286	Provenance Summaries for Answers and Non-Answers	2018	VLDB
5	4,697	Provenance for Natural Language Queries	2017	VLDB
6	2,186	Provenance Management in Curated Databases	2006	SIGMOD
7	13,893	Automating Data Citation in CiteDB	2017	VLDB
8	12,319	Data Citation: a Computational Challenge	2017	PODS
9	12,276	Data Citation: Giving Credit Where Credit is Due	2018	SIGMOD
10	12,313	A Model for Fine-Grained Data Citation	2017	CIDR