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DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search

Summary: DARTH enables declarative recall targets for approximate nearest neighbor search by embedding adaptive early termination into the search process. It reduces tuning effort and achieves large speedups (HNSW up to 14.6x; IVF up to 41.8x) while meeting user recall targets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hc315d15d7954fb3f
Venue
SIGMOD
Year
2026
Pagerank
5.2224279e-05
Overall Rank
9,136 | 38.58%
DOI
10.1145/3749160

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chatzakis_sigmod26,
        title = {{DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search}},
        author = {Chatzakis, Manos and Papakonstantinou, Yannis and Palpanas, Themis},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749160},
        url = {https://dl.acm.org/doi/10.1145/3749160},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank Cited Paper Year Venue Pagerank
74 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00037091678
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
194 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00025636725
298 Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search 2016 VLDB 0.00021833987
341 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020539791
345 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00020445545
804 RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search 2024 SIGMOD 0.00013832333
839 Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination 2020 SIGMOD 0.00013547412
2,265 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 8.7238222e-05
2,730 Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search 2020 VLDB 8.0861221e-05
2,871 Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art 2025 SIGMOD 7.9229231e-05
3,385 SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search 2025 SIGMOD 7.3548612e-05
4,598 Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes 2024 VLDB 6.5086378e-05
5,007 LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System 2022 VLDB 6.3169238e-05
5,313 Hercules Against Data Series Similarity Search 2022 VLDB 6.1846986e-05
5,527 DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search 2024 VLDB 6.0936219e-05
6,609 Dumpy: A Compact and Adaptive Index for Large Data Series Collections 2023 SIGMOD 5.7354155e-05
7,264 Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search 2025 SIGMOD 5.5703557e-05
9,440 Odyssey: A Journey in the Land of Distributed Data Series Similarity Search 2023 VLDB 5.1771634e-05
9,563 LeaFi: Data Series Indexes on Steroids with Learned Filters 2025 SIGMOD 5.1571823e-05
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