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Zombie Hashing: Reanimating Tombstones in a Graveyard

Summary: Zombie hashing deamortizes tombstone handling in linear probing, redistributing tombstones in windows. Ordered (compact) and unordered (vectorized) deliver asymptotically optimal deamortization with ~95% space, high throughput, and low latency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hc855690866652281
Venue
SIGMOD
Year
2025
Pagerank
5.1176637e-05
Overall Rank
9,866 | 33.67%
DOI
10.1145/3725424

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chesetti_sigmod25,
        title = {{Zombie Hashing: Reanimating Tombstones in a Graveyard}},
        author = {Chesetti, Yuvaraj and Shi, Benwei and Phillips, Jeff M. and Pandey, Prashant},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725424},
        url = {https://dl.acm.org/doi/10.1145/3725424},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,623 Breadcrumb Filters: Fast Fully Featured Filters 2026 SIGMOD 4.9793485e-05
10,777 Succinct and Fast Tiny Pointer Hash Tables 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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