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Paper Citation Record · LEDGER

Sensitivity Sampling with Predictions for k-Means Clustering

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.04949.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.04949 v1

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measured 40 of 40 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

40 of 40 outbound references displayed

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Outbound references

Observation 9274577b-6b20-4cc7-be94-22dd754fc007 · outbound

This paper cites Journal of Experimental Algorithmics (JEA)17, 2–1 (2012).

Sensitivity Sampling with Predictions for k-Means Clustering Journal of Experimental Algorithmics (JEA)17, 2–1 (2012)

Reference 1

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Sensitivity Sampling with Predictions for k-Means Clustering Unresolved cited work

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This paper cites In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algo- rithms.

Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algo- rithms

Reference 3

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This paper cites In: 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS).

Sensitivity Sampling with Predictions for k-Means Clustering In: 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS)

Reference 4

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This paper cites Machine Learning66(2), 243–257 (2007).

Sensitivity Sampling with Predictions for k-Means Clustering Machine Learning66(2), 243–257 (2007)

Reference 5

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This paper cites Machine learning79(1), 151–175 (2010).

Sensitivity Sampling with Predictions for k-Means Clustering Machine learning79(1), 151–175 (2010)

Reference 6

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This paper cites New Frameworks for Offline and Streaming Coreset Constructions.

Sensitivity Sampling with Predictions for k-Means Clustering New Frameworks for Offline and Streaming Coreset Constructions

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This paper cites In: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA).

Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA)

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This paper cites In: 2025 IEEE 66th An- nual Symposium on Foundations of Computer Science (FOCS).

Sensitivity Sampling with Predictions for k-Means Clustering In: 2025 IEEE 66th An- nual Symposium on Foundations of Computer Science (FOCS)

Reference 9

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This paper cites In: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Com- puting.

Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Com- puting

Reference 10

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This paper cites Advances in Neural In- formation Processing Systems35, 2679–2694 (2022).

Sensitivity Sampling with Predictions for k-Means Clustering Advances in Neural In- formation Processing Systems35, 2679–2694 (2022)

Reference 11

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This paper cites In: 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS).

Sensitivity Sampling with Predictions for k-Means Clustering In: 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)

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Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing

Reference 13

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Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 53rd Annual ACM SIGACT Symposium on The- ory of Computing

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Sensitivity Sampling with Predictions for k-Means Clustering Random Structures & Algorithms30(1-2), 226–256 (2007)

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Sensitivity Sampling with Predictions for k-Means Clustering accuracy tradeoffs for clustering big data

Reference 17

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Sensitivity Sampling with Predictions for k-Means Clustering In: International Conference on Learning Representations (2022)

Reference 18

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Sensitivity Sampling with Predictions for k-Means Clustering Sampling techniques for supervised or unsupervised tasks pp

Reference 19

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Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the forty-third annual ACM symposium on Theory of computing

Reference 20

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Sensitivity Sampling with Predictions for k-Means Clustering SIAM Journal on Com- puting49(3), 601–657 (2020)

Reference 21

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Sensitivity Sampling with Predictions for k-Means Clustering In: Algorithms–ESA 2013: 21st Annual European Symposium, Sophia Antipolis, France, September 2-4, 2013

Reference 22

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Sensitivity Sampling with Predictions for k-Means Clustering Spatial Statistics14, 491–504 (2015)

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Sensitivity Sampling with Predictions for k-Means Clustering UCI Machine Learning Repository (2015), DOI: https://doi.org/10.24432/C5RS5J

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Sensitivity Sampling with Predictions for k-Means Clustering CRC press (2015)

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Sensitivity Sampling with Predictions for k-Means Clustering In: International Conference on Machine Learning

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Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 56th Annual ACM Symposium on Theory of Computing

Reference 29

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Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing

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Sensitivity Sampling with Predictions for k-Means Clustering URL http://www

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Sensitivity Sampling with Predictions for k-Means Clustering IEEE transactions on information theory28(2), 129–137 (1982)

Reference 32

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Sensitivity Sampling with Predictions for k-Means Clustering Advances in Neural Information Processing Systems33, 16142– 16152 (2020)

Reference 33

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Sensitivity Sampling with Predictions for k-Means Clustering In: 36th International Conference on Al- gorithmic Learning Theory (2024)

Reference 34

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Sensitivity Sampling with Predictions for k-Means Clustering Machine Learning56(1), 61–87 (2004)

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Sensitivity Sampling with Predictions for k-Means Clustering Communications of the ACM65(7), 33–35 (2022)

Reference 36

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Sensitivity Sampling with Predictions for k-Means Clustering UCI Machine Learning Repository (2013), dOI: https://doi.org/10.24432/C55W25

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Sensitivity Sampling with Predictions for k-Means Clustering KI-Künstliche Intel- ligenz32, 37–53 (2018)

Reference 38

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Observation c0546170-9cc0-4f11-a8c0-3cf8c47bfc6c · outbound

This paper cites In: The Eleventh International Con- ference on Learning Representations (2023).

Sensitivity Sampling with Predictions for k-Means Clustering In: The Eleventh International Con- ference on Learning Representations (2023)

Reference 39

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Observation f6a350d6-d141-4c87-b51d-20612196051d · outbound

This paper cites interact.

Sensitivity Sampling with Predictions for k-Means Clustering interact

Reference 40

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source=pdf_text observed=2026-07-11T11:03:02.212195Z digest=sha256:2045cd02aa25bd6ec924c8309750621bcc210261ce2d393ec84ba63db7d4d716

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