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Counting Database Repairs under Primary Keys Revisited

Summary: Refines the data complexity of counting database repairs under primary keys: known #P-complete under Cook reductions but potentially "hard-to-count-easy-to-decide" and not #P-complete under standard many-one logspace reductions. Performs a finer-grained classification by seeking membership and completeness in natural subclasses of #P under parsimonious (logspace many-one) reductions. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1797
Venue
PODS
Year
2019
Pagerank
6.2967016e-05
Overall Rank
5,258 | 63.93%
DOI
10.1145/3294052.3319703

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{calautti_pods19,
        address = {New York, NY, USA},
        series = {{PODS} '19},
        title = {{Counting Database Repairs under Primary Keys Revisited}},
        url = {https://dl.acm.org/doi/10.1145/3294052.3319703},
        doi = {10.1145/3294052.3319703},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Calautti, Marco and Console, Marco and Pieris, Andreas},
        year = {2019}
}

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

Rank Cited Paper Year Venue Pagerank
33 Consistent Query Answers in Inconsistent Databases 1999 PODS 0.00049907763
574 Management of Probabilistic Data: Foundations and Challenges 2007 PODS 0.00016278855
5,619 An Operational Approach to Consistent Query Answering 2018 PODS 6.1483242e-05
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