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Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut

Summary: Lower bounds for beta-balanced directed-cut sparsification: for-each Ω(n√β/ε), for-all Ω(nβ/ε^2), resolving Cen et al.'s ICALP'21 questions. In a local-query model, Ω(min{m, m/(ε^2k)}) for (1+ε)-approximate global min-cut; upper bounds are near-tight. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1948
Venue
PODS
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,125 | 23.68%
DOI
10.1145/3651148

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BibTeX Citation

@inproceedings{cheng_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut}},
        url = {https://dl.acm.org/doi/10.1145/3651148},
        doi = {10.1145/3651148},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Cheng, Yu and Li, Max and Lin, Honghao and Tai, Zi-Yi and Woodruff, David P. and Zhang, Jason},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,162 On Sketching Trimmed Statistics 2026 PODS 5.093636e-05
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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
1,146 Graph Sketches: Sparsification, Spanners, and Subgraphs 2012 PODS 0.00011984702
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