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Paper Citation Record · LEDGER

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.23974.

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

pith.paper-citation-record.v1
2607.23974 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:39:41.584375Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

54 of 54 outbound references displayed

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  • verified fuzzy0
  • unresolved39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18bea41a-f6d0-4cd0-b21e-2629b4ac0e0f · outbound

This paper cites Differentially private testing of identity and closeness of discrete distributions.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private testing of identity and closeness of discrete distributions

Reference 1

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source=arxiv_source observed=2026-07-31T23:39:34.607334Z digest=sha256:2d8b96ae1288e16f58b394214a259f502032c086f8bf851a6d6262ee0495840c

Observation cf338d23-9012-41e5-94f2-1cbc28c6f3ba · outbound

This paper cites Canonne, Cody Freitag, and Himanshu Tyagi.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Canonne, Cody Freitag, and Himanshu Tyagi

Reference 2

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source=arxiv_source observed=2026-07-31T23:39:34.714297Z digest=sha256:db5136053b0be01593393a228dd5fefd9239d393b30fd8e27760d0a0b35881aa

Observation 10867ffe-6b87-47ee-bea3-d0128677e126 · outbound

This paper cites Canonne, Cody Freitag, Ziteng Sun, and Himanshu Tyagi.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Canonne, Cody Freitag, Ziteng Sun, and Himanshu Tyagi

Reference 3

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source=arxiv_source observed=2026-07-31T23:39:34.797775Z digest=sha256:b0e9b1ffbbf38cbb5767ca5049a03cca9a89f414d05bfbeb2bd830d895a6001f

Observation 49fd772f-7798-43b0-90e6-15c28da5662e · outbound

This paper cites Differentially private A ssouad, F ano, and L e C am.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private A ssouad, F ano, and L e C am

Reference 4

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source=arxiv_source observed=2026-07-31T23:39:34.880228Z digest=sha256:8650a47c98f339ff655a9c3b32c568b1bb1a10ff804a13f97b9d2dd7273c3cc9

Observation a6792022-04c8-44f7-9ec8-0809c223f813 · outbound

This paper cites Differentially private identity and equivalence testing of discrete distributions.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private identity and equivalence testing of discrete distributions

Reference 5

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source=arxiv_source observed=2026-07-31T23:39:34.978619Z digest=sha256:db7be2df5719ae3c6c59f3686ddc46957fe7ee60cbe0dcbe2eb6db2c33147c23

Observation aa821b3d-a8bb-4351-8cd5-c5ace8ff55bc · outbound

This paper cites Kane, and Ronitt Rubinfeld.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Kane, and Ronitt Rubinfeld

Reference 6

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Observation 6e8619ff-9be8-444c-91dc-4c78f7c22307 · outbound

This paper cites Remember the curse of dimensionality: The case of goodness-of-fit testing in arbitrary dimension.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Remember the curse of dimensionality: The case of goodness-of-fit testing in arbitrary dimension

Reference 7

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source=arxiv_source observed=2026-07-31T23:39:35.135611Z digest=sha256:acba817039f05afe0d1f30e43f008cfea29757c202769c539d3b0925deef3ea6

Observation 5f29f0b7-944f-450d-8c89-b688310de862 · outbound

This paper cites Differentially private Kolmogorov--Smirnov -type tests.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private Kolmogorov--Smirnov -type tests

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-31T23:39:35.188283Z digest=sha256:6ac0f3b3b53fedb4f2d5892ec5b5f0ce45a9b107ad43a127818bfa899bcc35ef

Observation afdf9edf-15ba-44cc-b512-2743da3b139f · outbound

This paper cites Hypothesis testing for densities and high-dimensional multinomials: Sharp local minimax rates.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Hypothesis testing for densities and high-dimensional multinomials: Sharp local minimax rates

Reference 9

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-31T23:39:35.290251Z digest=sha256:f0fa5022618b5bfc1f6bf59e22679e5353036502e8acf9cd6c4d6db1138bab6b

Observation 071822d7-63e9-48cd-ba51-606607f604aa · outbound

This paper cites Privacy and Statistical Risk: Formalisms and Minimax Bounds.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Privacy and Statistical Risk: Formalisms and Minimax Bounds

Reference 10

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source=arxiv_source observed=2026-07-31T23:39:35.376476Z digest=sha256:ae358dd6813d5dec396c2e76a1c03234ae823aa77b5e2051104ecf5613d640cf

Observation 1aa67df4-66a6-4041-a0eb-fed21c60b1ae · outbound

This paper cites Smith, and Patrick White.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Smith, and Patrick White

Reference 11

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source=arxiv_source observed=2026-07-31T23:39:35.434981Z digest=sha256:ac620d8068441ec02988fbe2f574cfb82e095a25ab1730680c813f77fa3ceda7

Observation 532e1b90-2819-4a9a-b037-acf2119f207f · outbound

This paper cites Concentration Inequalities: A Nonasymptotic Theory of Independence.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Concentration Inequalities: A Nonasymptotic Theory of Independence

Reference 12

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Observation fa6fc568-85c1-4f22-af10-f7b8f1be79be · outbound

This paper cites Nonparametric homogeneity tests.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Nonparametric homogeneity tests

Reference 13

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Observation d82f5f28-4064-4862-829c-ef00b3b61331 · outbound

This paper cites Priv'IT : Private and sample efficient identity testing.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Priv'IT : Private and sample efficient identity testing

Reference 14

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source=arxiv_source observed=2026-07-31T23:39:35.569384Z digest=sha256:98c580510c4806a0ca9399e7377a1a63146b9409bd5a204fb6aef71a7f1067ff

Observation cc57564f-263d-40f1-96b1-e443b855e236 · outbound

This paper cites Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests

Reference 15

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source=arxiv_source observed=2026-07-31T23:39:35.620302Z digest=sha256:7ccf177810ad3e352df29a88cf10a7594e56f33f29a95c3701d488bf07deee56

Observation e7ef96d2-b7f5-4e50-8ce7-263d88dd46df · outbound

This paper cites Optimal Closeness Testing of Discrete Distributions Made (Complex) Simple.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Optimal Closeness Testing of Discrete Distributions Made (Complex) Simple

Reference 16

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source=arxiv_source observed=2026-07-31T23:39:35.810859Z digest=sha256:d10baa2744ea9cd017d4afcaa4494f441ca48bdddd292d85c6dd82677050d9ec

Observation fbd852a2-ee75-424d-b9ad-12393c40c5e3 · outbound

This paper cites Canonne, Gautam Kamath, Audra McMillan, Adam Smith, and Jonathan Ullman.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Canonne, Gautam Kamath, Audra McMillan, Adam Smith, and Jonathan Ullman

Reference 17

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source=arxiv_source observed=2026-07-31T23:39:35.975280Z digest=sha256:0a32d463bf9a183bfd70f37498d3bb9b207ca62620c5a740e90645a43aa19c9e

Observation 20880de6-6fba-4c34-8262-d49d2234f74e · outbound

This paper cites Canonne, Gautam Kamath, Audra McMillan, Jonathan Ullman, and Lydia Zakynthinou.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Canonne, Gautam Kamath, Audra McMillan, Jonathan Ullman, and Lydia Zakynthinou

Reference 18

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Observation f02554f2-a58c-4f81-81dc-e18c67c9d2e5 · outbound

This paper cites Optimal algorithms for testing closeness of discrete distributions.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Optimal algorithms for testing closeness of discrete distributions

Reference 19

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Observation 3cfd2b49-cd8c-4e84-94fc-d0cb94b3411c · outbound

This paper cites Distributed differential privacy via shuffling.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Distributed differential privacy via shuffling

Reference 20

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Observation 2fdc27cf-1b17-4bf1-ad90-0006b65c7989 · outbound

This paper cites Local goodness-of-fit testing for H\" o lder -continuous densities: Minimax rates.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Local goodness-of-fit testing for H\" o lder -continuous densities: Minimax rates

Reference 21

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e5dd35fc-cf1d-4502-bd6b-9182ec1adb85 · outbound

This paper cites Differentially private nonparametric hypothesis testing.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private nonparametric hypothesis testing

Reference 22

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Observation 4e0d8802-624b-4dc4-b4cf-783863560479 · outbound

This paper cites Kane, John Peebles, and Eric Price.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Kane, John Peebles, and Eric Price

Reference 23

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Observation 5948ef27-f9d8-44a3-95a3-ef8101454610 · outbound

This paper cites Berrett, and Cristina Butucea.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Berrett, and Cristina Butucea

Reference 24

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Observation c04633d5-0fa6-44f6-b1c6-cdf20a3af795 · outbound

This paper cites The algorithmic foundations of differential privacy.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy The algorithmic foundations of differential privacy

Reference 25

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Observation 5b1da307-154f-4bc9-96c3-ee79b5817c91 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Calibrating noise to sensitivity in private data analysis

Reference 26

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Observation d9418720-ffdf-41ce-9b40-98a1c5c73d83 · outbound

This paper cites Amplification by shuffling: From local to central differential privacy via anonymity.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Amplification by shuffling: From local to central differential privacy via anonymity

Reference 27

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Observation bb24be33-3ec5-4644-9906-89ef304b46c4 · outbound

This paper cites Adaptive goodness-of-fit tests in a density model.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Adaptive goodness-of-fit tests in a density model

Reference 28

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source=arxiv_source observed=2026-07-31T23:39:37.936635Z digest=sha256:8e68e7ed3dd6a9dac5b69abb3bea7884ff698cbe78ffeee600cff2971f4f56e1

Observation 0b018a49-c441-4df6-97a6-c2522dec6af9 · outbound

This paper cites Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing

Reference 29

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Observation bd15bc3c-2bf6-40b4-bf13-583289e63239 · outbound

This paper cites Borgwardt, Malte J.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Borgwardt, Malte J

Reference 30

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Observation 71f9a338-44d5-4a3c-baca-e7e55ab259ce · outbound

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Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Unresolved cited work

Reference 31

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Observation fa4c8644-fdbd-4cab-9ea2-185b0051b311 · outbound

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Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Unresolved cited work

Reference 32

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Observation edafd251-13a3-4888-be27-7404613a0368 · outbound

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Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Unresolved cited work

Reference 33

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Observation 40ce0729-1202-4181-9f7f-5fef75248fbf · outbound

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Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Unresolved cited work

Reference 34

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Observation 8802bb84-2e59-47aa-af4d-5cfd42590bc2 · outbound

This paper cites Berrett, and Yi Yu.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Berrett, and Yi Yu

Reference 35

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Observation ac2e043e-c67f-42b2-a0b0-287a723b7f63 · outbound

This paper cites Differentially private permutation tests.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private permutation tests

Reference 36

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Observation f010c8b3-9ae1-48b4-b445-7148c4dc57f8 · outbound

This paper cites Minimax optimality of permutation tests.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Minimax optimality of permutation tests

Reference 37

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1d622b00-8e44-40ab-affc-eef6cbe53424 · outbound

This paper cites Human decisions and machine predictions.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Human decisions and machine predictions

Reference 38

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source=arxiv_source observed=2026-07-31T23:39:39.637713Z digest=sha256:27f0eb2015b260b4628a2e8097b39fb3ef3aeef7af160e9d89e708b6ad803968

Observation d46faf4d-8f80-46f9-be68-bfe2501b37c3 · outbound

This paper cites Earnshaw, Imran S.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Earnshaw, Imran S

Reference 39

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source=arxiv_source observed=2026-07-31T23:39:39.865232Z digest=sha256:b2e4d4f01a96f47154f381675b66c2dfd63cff66466e7e3491810d0aec01558e

Observation 5d6c3af4-eef6-428f-8138-7a8b52f08533 · outbound

This paper cites Differentially private goodness-of-fit tests for continuous variables.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private goodness-of-fit tests for continuous variables

Reference 40

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source=arxiv_source observed=2026-07-31T23:39:40.055451Z digest=sha256:c18222158094f8c78d2e6a1bdd5cdc09f5e8b04aeafe7c6ee4525aeca3acf519

Observation d5ee1aec-dcbf-4580-956d-16984ed5d690 · outbound

This paper cites On the statistical complexity of estimation and testing under privacy constraints.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy On the statistical complexity of estimation and testing under privacy constraints

Reference 41

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source=arxiv_source observed=2026-07-31T23:39:40.288751Z digest=sha256:032bd4022453f6b1d62c893f0fd7e95954493333d8a529d3cce3604beec48681

Observation d459128d-d1b2-4494-885f-19ed6d2eaa7c · outbound

This paper cites About the cost of central privacy in density estimation.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy About the cost of central privacy in density estimation

Reference 42

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source=arxiv_source observed=2026-07-31T23:39:40.465235Z digest=sha256:6ae0aa49d169358d15d89334e58adfd76c19e9755203b84ef52fb1438fa63ee0

Observation e43bc55d-7e26-42fc-ba62-cae44a21eaab · outbound

This paper cites Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint

Reference 43

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source=arxiv_source observed=2026-07-31T23:39:40.639079Z digest=sha256:4fb08daf69a49cae3748af00d6631b70d85d4f9403f7bb32702331c898e5b713

Observation 905fbd52-9254-4f05-930a-3617b25d3f30 · outbound

This paper cites Minimax optimal two-sample testing under local differential privacy.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Minimax optimal two-sample testing under local differential privacy

Reference 44

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source=arxiv_source observed=2026-07-31T23:39:40.796214Z digest=sha256:ad6cba66d1a497e2945bcf7c988545d71c624b59c9ead3b04a3b99695f3ce2ea

Observation 263f9d45-87d6-4243-b118-1e8459ac0d68 · outbound

This paper cites Private high-dimensional hypothesis testing.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Private high-dimensional hypothesis testing

Reference 45

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source=arxiv_source observed=2026-07-31T23:39:40.990206Z digest=sha256:a57a8a11029077c6583f5f9c1c3723c9cc4289b6a4eddf19f6ca9e125fdc0e7b

Observation 005e8546-1754-444a-a619-7f5584f74980 · outbound

This paper cites Dissecting racial bias in an algorithm used to manage the health of populations.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Dissecting racial bias in an algorithm used to manage the health of populations

Reference 46

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source=arxiv_source observed=2026-07-31T23:39:41.091731Z digest=sha256:eeba73e6320a8300d98cde67486132636e946b55e4362af70251cc3ee488d34e

Observation bc5e82c1-245b-49d2-ada4-58490a116e6f · outbound

This paper cites Differentially private equivalence testing for continuous distributions and applications.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Differentially private equivalence testing for continuous distributions and applications

Reference 47

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doi, observed 2026-07-31T23:40:58.400065Z

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source=arxiv_source observed=2026-07-31T23:39:41.154048Z digest=sha256:65158fc9636c8562a2cab1bdf731ef0458d0cdb50ca82e32cb7492fbd966608e

Observation d5cce3e4-2a46-4f40-aa12-57b26bfd968f · outbound

This paper cites Lawrence, editors.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Lawrence, editors

Reference 48

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source=arxiv_source observed=2026-07-31T23:39:41.237702Z digest=sha256:24c284284d71e7e621a760e8f576cda112d7780d202393b29a0cfdf9cd39e0ae

Observation ad731f56-448b-4eeb-ad79-3759d6e26bda · outbound

This paper cites A differentially private kernel two-sample test.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy A differentially private kernel two-sample test

Reference 49

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source=arxiv_source observed=2026-07-31T23:39:41.293632Z digest=sha256:02c88c3e72731612074e1aefb9c8039b52b39261e4eb1f197eb4504fab3b3ab5

Observation 80d7abba-6a0d-4f4b-b40e-d738d73bc28d · outbound

This paper cites A new class of private chi-square hypothesis tests.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy A new class of private chi-square hypothesis tests

Reference 50

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source=arxiv_source observed=2026-07-31T23:39:41.357726Z digest=sha256:cbb1131bd9c948f0ef94131fa65094ef4f3c44225c54cce53840e5296293d598

Observation 03f803e9-da96-41e2-af72-6b7b2b36c17c · outbound

This paper cites Aggregation of Statistical Evidence under Exchangeability.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Aggregation of Statistical Evidence under Exchangeability

Reference 51

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source=arxiv_source observed=2026-07-31T23:39:41.410638Z digest=sha256:445945b0cfcd4c5d5a22fcd4f4c25fa37eb52fbb138408e994bcd96ed1c64dcc

Observation 27243d7b-e974-4680-acda-5beb0126b87b · outbound

This paper cites Spokoiny.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Spokoiny

Reference 52

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source=arxiv_source observed=2026-07-31T23:39:41.461304Z digest=sha256:b971392da3144251284c421c560829fe4fe38f52b2df20d6a99dffdaba46dc87

Observation 2d19a27a-1afa-420f-9513-02844bd1caa8 · outbound

This paper cites A statistical framework for differential privacy.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy A statistical framework for differential privacy

Reference 53

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source=arxiv_source observed=2026-07-31T23:39:41.528239Z digest=sha256:e7e2e517a5feb058ac6eb81f88d46d20fbc7c1a03183a05dcf66c1b68c0d322a

Observation c6db1aa2-52ae-453a-8928-c9e7d6ba8976 · outbound

This paper cites Statistical Inference in the Differential Privacy Model.

Sharp Minimax Rates for Smooth Two-Sample Testing under Central Differential Privacy Statistical Inference in the Differential Privacy Model

Reference 54

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source=arxiv_source observed=2026-07-31T23:39:41.584375Z digest=sha256:b543e3afb96b6fce2859c4a858abd88c4fa8a2655a8e821ca4965196795896b4

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