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Paper Citation Record · LEDGER

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data

As of 14 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 0 inbound Pith citation observations for arXiv:2607.25031.

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

pith.paper-citation-record.v1
2607.25031 v1

Coverage vector

measured 100 of 114 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T03:15:48.181961Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 114 outbound references displayed

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  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 5430a160-2b04-4f12-a183-f9cbe5a193fb · outbound

This paper cites Algorithms in bioinformatics:.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Algorithms in bioinformatics:

Reference 1

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source=arxiv_source observed=2026-07-31T03:15:47.695085Z digest=sha256:ea97efc8c06955389bf04eda4f3c466f72e0810135a8c269f6025ec6f07ae8b8

Observation ca53d83a-956c-4ca8-93fd-b829a862f431 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Transactions on Information Theory , volume=

Reference 2

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source=arxiv_source observed=2026-07-31T03:15:47.702496Z digest=sha256:76fa125d55bf74c7980173fda0cc7832282c3c2ef55458f2b595ab678352b33a

Observation a93d8f87-9d54-4ab5-81ac-b161e66063ed · outbound

This paper cites Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants

Reference 3

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Observation 133d5be4-c6ff-44d6-8d93-9b3f39dd6651 · outbound

This paper cites Journal of Computer and System Sciences , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of Computer and System Sciences , volume=

Reference 4

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Observation fb290993-12ed-457c-85d3-74c77d0ee4e5 · outbound

This paper cites Conference On Learning Theory , pages=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Conference On Learning Theory , pages=

Reference 5

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Observation 71baee18-c7ff-49bc-9a45-637a16312fc2 · outbound

This paper cites Statistics and computing , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Statistics and computing , volume=

Reference 6

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Observation 76f8121d-54f4-493a-a5d7-fee525a47935 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Transactions on Information Theory , volume=

Reference 7

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Observation 4d051197-dec4-4cd8-985d-13bd72af31c0 · outbound

This paper cites Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration

Reference 8

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Observation ae57d479-e0cf-42dd-bb91-f066f5bc4e8c · outbound

This paper cites The Statistical Cost of Adaptation in Multi-Source Transfer Learning.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data The Statistical Cost of Adaptation in Multi-Source Transfer Learning

Reference 9

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Observation bf5572ea-deca-44bf-b809-8f178015a1aa · outbound

This paper cites The Annals of Statistics , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data The Annals of Statistics , volume=

Reference 10

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Observation acba093e-d654-4739-aad9-4722ddfaeb4f · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE/CAA Journal of Automatica Sinica , volume=

Reference 11

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Observation a4a87ed9-d210-4dd6-b76f-5af73402ff7c · outbound

This paper cites IEEE Transactions on knowledge and data engineering , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Transactions on knowledge and data engineering , volume=

Reference 12

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Observation 3e48779e-2710-4217-aae1-5a27d3a62103 · outbound

This paper cites Journal of Big Data , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of Big Data , volume=

Reference 13

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Observation c8c49f9a-439b-4091-9b95-abaeaa141c7e · outbound

This paper cites Machine Learning , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Machine Learning , volume=

Reference 14

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Observation 0acf0218-59f4-40fb-9e7b-c0bb2f88fa2d · outbound

This paper cites Monthly Notices of the Royal Astronomical Society , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Monthly Notices of the Royal Astronomical Society , volume =

Reference 15

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Observation b17b1d19-5c2e-4fd9-8d32-f9fc81359129 · outbound

This paper cites Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling

Reference 16

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Observation 19fa0055-cf36-480c-b122-544b37711671 · outbound

This paper cites The Annals of Statistics , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data The Annals of Statistics , volume=

Reference 17

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Observation c5bd9aee-5721-4adc-9560-b1143734d573 · outbound

This paper cites Sharp Spectral Thresholds for Multi-View Spiked Wigner Models.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Sharp Spectral Thresholds for Multi-View Spiked Wigner Models

Reference 18

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Observation 2551f297-19f5-4b19-8656-2b7209ff2592 · outbound

This paper cites Zhang , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Zhang , title =

Reference 19

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Observation a6898a26-014e-45e2-abc7-6f8dfd238fd1 · outbound

This paper cites Tony and Zhang, Anru , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Tony and Zhang, Anru , title =

Reference 20

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Observation 1fac09fd-59e3-47c7-888e-78eefa1bdd7a · outbound

This paper cites Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures , year =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures , year =

Reference 21

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Observation 8e24c061-7ab8-4b63-9d84-9f27d6aaaecb · outbound

This paper cites The Annals of Statistics , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data The Annals of Statistics , volume =

Reference 22

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Observation e5373bb4-aa55-4a74-b4ff-9ff33b280699 · outbound

This paper cites Optimality of Spectral Clustering in the Gaussian Mixture Model , journal =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Optimality of Spectral Clustering in the Gaussian Mixture Model , journal =

Reference 23

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Observation b2cda4d9-8922-4589-8e2c-69a2716550a4 · outbound

This paper cites Ieee Access , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Ieee Access , volume=

Reference 24

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Observation 4502326e-70fc-4d65-892d-c1e35e4e85d4 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of Machine Learning Research , volume=

Reference 25

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Observation 56878583-964a-401b-b255-0ce6fa09a295 · outbound

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Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Cell , year =

Reference 26

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Observation d8efc112-5bcc-4fbb-8402-c61ac1215274 · outbound

This paper cites and Ren, Xing and Guenthoer, Jamie and Smythe, Kimberly S.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data and Ren, Xing and Guenthoer, Jamie and Smythe, Kimberly S

Reference 27

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Observation a46d5ccd-8cfe-466e-90c0-969697d8d362 · outbound

This paper cites and Andrews, Tallulah and Yiu, Andrew and Chandra, Tamir and Natarajan, Kedar N.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data and Andrews, Tallulah and Yiu, Andrew and Chandra, Tamir and Natarajan, Kedar N

Reference 28

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Observation f670c7a4-22c3-4562-86a9-a6511dac7ea8 · outbound

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Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Spatial based expectation maximizing ( EM )

Reference 29

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Observation 584a1ed2-a8fd-4e35-b5e2-cb2a0caaa302 · outbound

This paper cites Annals of statistics , pages=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Annals of statistics , pages=

Reference 30

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Observation ae61db71-081e-400d-90ed-0e812b5876ff · outbound

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Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data 2025 , publisher=

Reference 31

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Observation 3d89e12b-dccc-4de5-b368-3744f383f7d0 · outbound

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Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data , author=

Reference 32

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Observation 53e75883-a906-4603-b7bc-213f52572858 · outbound

This paper cites Transfer Clustering Based on Gaussian Mixture Model , year=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Transfer Clustering Based on Gaussian Mixture Model , year=

Reference 33

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Observation 8838c0cf-4b9e-4882-9b4e-b2b5244735e4 · outbound

This paper cites Journal of the Royal Statistical Society , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the Royal Statistical Society , volume=

Reference 34

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Observation e5fb5c70-cd3f-435b-a420-32b4cb037cdc · outbound

This paper cites Journal of the royal statistical society: series B (methodological) , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the royal statistical society: series B (methodological) , volume=

Reference 35

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Observation 4dde0d4e-b7d8-4611-8768-2c2f53d27f1e · outbound

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Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data , author=

Reference 36

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Observation 64f51476-58c7-421e-b006-38b11e2421bd · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Advances in Neural Information Processing Systems , volume=

Reference 37

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Observation a78780f8-eeee-470e-90a6-3deeca9cb2c8 · outbound

This paper cites Conference on Learning Theory , pages=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Conference on Learning Theory , pages=

Reference 38

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Observation 9c1e3740-bd76-48fd-9d95-c55fabcbd0ea · outbound

This paper cites Bulletin de l'Acad.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Bulletin de l'Acad

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Observation 69213da9-6d91-4ce1-9df8-05a7208d74d7 · outbound

This paper cites , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data , title =

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Observation e97bfe5b-6b17-4658-a5b7-64ffbdaaf83c · outbound

This paper cites , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data , title =

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Observation 65f7668e-2388-4321-b776-1bdd5d07775c · outbound

This paper cites , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data , title =

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Observation 2f850a6c-9afc-423b-8853-e0c76373638c · outbound

This paper cites Nature methods , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Nature methods , volume=

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Observation 7be66ada-b523-43c4-a8b6-f71309979683 · outbound

This paper cites A cellular census of human lungs identifies novel cell states in health and in asthma.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data A cellular census of human lungs identifies novel cell states in health and in asthma

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Observation 8bb60f23-24c7-4b3d-948a-c8f6645d625b · outbound

This paper cites Zhang , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Zhang , title =

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Observation 41446a9c-8331-45cb-986c-57f22620ae6f · outbound

This paper cites Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation

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Observation f376f763-b9b0-428d-8174-a14eb06efda5 · outbound

This paper cites Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models , booktitle =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models , booktitle =

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Observation 94c4f9ed-c25a-40c0-a75f-b40b17eba1a5 · outbound

This paper cites IEEE Transactions on Information Theory , year=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Transactions on Information Theory , year=

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Observation e09618c4-72ac-4482-bc82-d3cdcada5fea · outbound

This paper cites arXiv preprint arXiv:2509.08237 , year =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data arXiv preprint arXiv:2509.08237 , year =

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Observation b3f7e934-a6c7-489e-a4cd-d6968298bf06 · outbound

This paper cites Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , series =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , series =

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Observation 25adedd8-9142-41c6-aca1-1d4d3432d542 · outbound

This paper cites The Annals of Statistics , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data The Annals of Statistics , volume =

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Observation 9ff9301a-4e1a-49bc-b536-d1194e5b0863 · outbound

This paper cites Tsybakov , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Tsybakov , title =

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Observation 40d98a90-ecc3-4b9f-893b-d824b2a948a9 · outbound

This paper cites Zhang and Harrison H.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Zhang and Harrison H

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Observation d571dc75-577e-4f9c-8fb5-fe52199bc0cb · outbound

This paper cites Statistical Science , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Statistical Science , volume =

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Observation 92243d01-8d6f-46d3-b231-fd5197ff32d5 · outbound

This paper cites IEEE Transactions on Information Theory , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Transactions on Information Theory , volume =

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Observation ade24c57-94cf-4757-8840-5d45bc5d2f2b · outbound

This paper cites Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations

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Observation 608aac5f-0b42-43e0-a3b7-01490fd7560c · outbound

This paper cites Wainwright and Bin Yu , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Wainwright and Bin Yu , title =

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Observation 1567f768-6194-4a73-bd30-f290c3ffed05 · outbound

This paper cites Lloyd , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Lloyd , title =

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Observation 0365730d-cfea-4192-aa03-e01297ff06e6 · outbound

This paper cites Bernoulli , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Bernoulli , volume =

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Observation fa741832-9da8-4598-89fe-35eabe49577a · outbound

This paper cites Mathematical Statistics and Learning , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Mathematical Statistics and Learning , volume =

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Observation 9680cfd1-3d5a-4d15-a6b4-c913e72d4bbf · outbound

This paper cites Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices

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Observation 3314d95c-ca82-455a-b453-1237ff329649 · outbound

This paper cites Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

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Observation b6a440da-ef28-4cb8-8ea7-a46c6408dead · outbound

This paper cites arXiv preprint arXiv:2206.04306 , year =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data arXiv preprint arXiv:2206.04306 , year =

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source=arxiv_source observed=2026-07-31T03:15:47.991970Z digest=sha256:8cebe62142cd60687796039868a4857180977883eddf25150868847fd8f1c184

Observation 8a0a188b-d064-4be5-acce-e5cc28f6bea5 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Journal of Biomedical and Health Informatics , volume =

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Observation b53197a2-65b7-4dd6-83ea-f95ec90a398f · outbound

This paper cites Journal of the American Statistical Association , year =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the American Statistical Association , year =

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Observation c068facd-936a-4b26-bf3e-93477e24c9c6 · outbound

This paper cites Pattern Recognition , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Pattern Recognition , volume =

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Observation 5ccdc5c5-124a-4c0e-9dd8-cdecdf880b56 · outbound

This paper cites IEEE Transactions on Cybernetics , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data IEEE Transactions on Cybernetics , volume =

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Observation adc763e0-3511-45d6-a426-ad5a50f70352 · outbound

This paper cites Journal of the American Statistical Association , pages=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the American Statistical Association , pages=

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Observation 57cb08f6-7d86-4527-9eb0-7491b4c71a0a · outbound

This paper cites Lock and Katherine A.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Lock and Katherine A

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Observation 48160800-9424-4697-a906-1d2c1beabb64 · outbound

This paper cites an unresolved cited work.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Unresolved cited work

Reference 70

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Observation adae1c21-1946-405c-bcb7-bdd587db2964 · outbound

This paper cites Tony Cai and Anru Zhang , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Tony Cai and Anru Zhang , title =

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Observation e1b43e0e-5233-4738-9e24-4d6f17d4d3b8 · outbound

This paper cites Sharp optimal recovery in the two-component Gaussian Mixture Model.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Sharp optimal recovery in the two-component Gaussian Mixture Model

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Observation 487f66ec-f964-4815-bb60-1ab105d71106 · outbound

This paper cites Statistical Science , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Statistical Science , volume =

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Observation 2e099ddf-b1bb-4187-a4b1-d470aa48943d · outbound

This paper cites Welch and Velina Kozareva and Ashley Ferreira and Charles Vanderburg and Carly Martin and Evan Z.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Welch and Velina Kozareva and Ashley Ferreira and Charles Vanderburg and Carly Martin and Evan Z

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Observation 93412d65-5e27-4f1c-9556-e55d150115bb · outbound

This paper cites Journal of the American statistical association , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the American statistical association , volume=

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Observation 2b7a31a5-bd8e-4105-9ade-1ddf85c2d1c3 · outbound

This paper cites Nature Biotechnology , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Nature Biotechnology , volume =

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Observation 3f72acaa-8e07-4f29-81d4-8fb7bda40f73 · outbound

This paper cites A cellular census of human lungs identifies novel cell states in health and in asthma.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data A cellular census of human lungs identifies novel cell states in health and in asthma

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Observation 64915efc-646b-43b3-8c3e-ff0b9f016fad · outbound

This paper cites Bi-order Multimodal Integration of Single-cell Data , journal =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Bi-order Multimodal Integration of Single-cell Data , journal =

Reference 78

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Observation 4a3a9022-b35b-4bc5-aa0e-fb682101875b · outbound

This paper cites Gromov--.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Gromov--

Reference 79

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Observation d6fc1741-5531-49dc-ab33-f2065fa16517 · outbound

This paper cites Gromov--.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Gromov--

Reference 80

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Observation 3251d9c6-dd25-457b-87ae-e4e9571c7ba5 · outbound

This paper cites Journal of Computational Biology , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of Computational Biology , volume =

Reference 81

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Observation 88b108f6-2bc4-4b4d-85f1-dfa05338bf20 · outbound

This paper cites Mauck and Yuhan Hao and Marlon Stoeckius and Peter Smibert and Rahul Satija , title =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Mauck and Yuhan Hao and Marlon Stoeckius and Peter Smibert and Rahul Satija , title =

Reference 82

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source=arxiv_source observed=2026-07-31T03:15:48.086121Z digest=sha256:32fca21eb74feb313205b6999a5410354002916011fee8bdaa778846369d87d7

Observation 8f5f7e84-c87e-4a5b-97fa-fff0e734f88e · outbound

This paper cites Mauck and Shiwei Zheng and Andrew Butler and Maddie J.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Mauck and Shiwei Zheng and Andrew Butler and Maddie J

Reference 83

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Observation d306f9f8-f0e8-4e1d-baa8-b35536173469 · outbound

This paper cites Biometrics , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Biometrics , volume =

Reference 84

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-31T03:15:48.094992Z digest=sha256:bc29a89ce42245c4629d0005969fedf17615ad6d20bbbe3f542694dde7011943

Observation b365b8e2-0e90-4a09-9c8b-30bf67405d84 · outbound

This paper cites ACM SIGMoD record , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data ACM SIGMoD record , volume=

Reference 85

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Observation 4a72803d-8c83-45a7-9c30-9c14f99258fd · outbound

This paper cites Proceedings of the 1998 ACM SIGMOD international conference on Management of data , pages=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Proceedings of the 1998 ACM SIGMOD international conference on Management of data , pages=

Reference 86

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Observation 5db00d00-8205-4100-a6a5-c1880877ef47 · outbound

This paper cites Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering , year =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering , year =

Reference 87

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Observation 3065de42-6b79-4f96-9a8b-a0855aa2c843 · outbound

This paper cites Computational Statistics & Data Analysis , author=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Computational Statistics & Data Analysis , author=

Reference 88

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Observation 5c4391bc-0ea3-42c7-b8fa-81044cb547d3 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the American Statistical Association , volume=

Reference 89

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Observation 7c558c7f-2cc5-4063-8471-c48d4e317e32 · outbound

This paper cites Journal of classification , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of classification , volume=

Reference 90

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Observation 2fc79119-391d-48c1-8b04-413079e198c4 · outbound

This paper cites Xavier and Alaerts, Kaat and Anderson, Jeffrey S.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Xavier and Alaerts, Kaat and Anderson, Jeffrey S

Reference 91

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Observation 84bfe22d-2b21-43fe-a013-27a8006fa748 · outbound

This paper cites V -Measure: A Conditional Entropy-Based External Cluster Evaluation Measure.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data V -Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

Reference 92

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Observation c23fa26c-71e2-41b5-9817-fc8916aadfe5 · outbound

This paper cites an unresolved cited work.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Unresolved cited work

Reference 93

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Observation f142cc1c-25a4-4e3c-800a-1a092c8966f7 · outbound

This paper cites arXiv preprint arXiv:2512.09259 , year=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data arXiv preprint arXiv:2512.09259 , year=

Reference 94

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Observation 186ec49b-ba36-43d8-90f1-87bde68a7268 · outbound

This paper cites Briefings in Bioinformatics , volume =.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Briefings in Bioinformatics , volume =

Reference 95

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Observation 28f0f7b8-cd78-4df4-b86a-492a1dffb797 · outbound

This paper cites Comptes rendus des s.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Comptes rendus des s

Reference 96

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source=arxiv_source observed=2026-07-31T03:15:48.159453Z digest=sha256:82dcc1d6e56b86873df52f56fce71cf6ba7eaf67c60e5889685d7f4d42ebfe28

Observation da209f7b-a716-4208-9063-a7033b4b8207 · outbound

This paper cites Assouad, Fano, and Le Cam.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Assouad, Fano, and Le Cam

Reference 97

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source=arxiv_source observed=2026-07-31T03:15:48.163897Z digest=sha256:320f05183092f0fd18dc20152b4190dd36d3849f6c6d8d3c5218b5463b1dd12a

Observation 7fa1745e-fb21-4071-95cb-0b423b04b84b · outbound

This paper cites Biometrika , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Biometrika , volume=

Reference 98

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Observation 8e64ddab-c9c4-4112-8674-0482a5948554 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Journal of the American Statistical Association , volume=

Reference 99

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source=arxiv_source observed=2026-07-31T03:15:48.176651Z digest=sha256:ff80adbb63652b8400f239acd547166087138aa1ffd068142d8403b9e121bf20

Observation 6a976ae6-00d0-4821-a964-3a1feeb8cd08 · outbound

This paper cites Soda , volume=.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Soda , volume=

Reference 100

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Pith citing papers

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