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Paper Citation Record · LEDGER

Nystr\"om Kernel Stein Discrepancy Tests

As of 10 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 2 inbound Pith citation observations for arXiv:2605.25173.

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

pith.paper-citation-record.v1
2605.25173 v1

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:40:10.765241Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T20:25:42.545949Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

96 of 96 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved93
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6aa7134-3f2a-4ecd-b85c-1d95d93d66ba · outbound

This paper cites Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur Gretton, Christophe Ley, Qiang Liu, Lester Mackey, Chris J.

Nystr\"om Kernel Stein Discrepancy Tests Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur Gretton, Christophe Ley, Qiang Liu, Lester Mackey, Chris J

Reference 1

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Observation 8397cd98-aa30-42f2-ab87-d8fd6907ec21 · outbound

This paper cites Arcones and Evarist Gin\' e.

Nystr\"om Kernel Stein Discrepancy Tests Arcones and Evarist Gin\' e

Reference 2

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:790c925e6682f6b3f95b99b5c3dd20c8e18bead4fcbded92f9e77419251e57f4

Observation adb6470e-633b-4f2a-b347-49be1d120ddd · outbound

This paper cites Theory of reproducing kernels.

Nystr\"om Kernel Stein Discrepancy Tests Theory of reproducing kernels

Reference 3

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:72d16370914cb479ad7de00493186e25a1f3553c3191dda056dd505754c29831

Observation a76af03d-e6ec-4ed6-946b-87b8e6a8717b · outbound

This paper cites On the optimality of kernel-embedding based goodness-of-fit tests.

Nystr\"om Kernel Stein Discrepancy Tests On the optimality of kernel-embedding based goodness-of-fit tests

Reference 4

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9311d82e4f5b3f4c1120191e48855c24c4009209d9d19036a61da5534915d4bf

Observation 30f5d151-939f-4cc8-a513-9ff203e9df05 · outbound

This paper cites Baringhaus and C.

Nystr\"om Kernel Stein Discrepancy Tests Baringhaus and C

Reference 5

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9bcbb7f5b821b98e560c57f6e2d4e292fb1331bb2ffc75f1386f02d7b06c4403

Observation 4a74f2b4-1b49-44b7-9640-b7dfb3fb4383 · outbound

This paper cites Targeted separation and convergence with kernel discrepancies.

Nystr\"om Kernel Stein Discrepancy Tests Targeted separation and convergence with kernel discrepancies

Reference 6

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Observation 0573d8ac-22a4-4ce3-b785-3d16cf035279 · outbound

This paper cites A kernel Stein test of goodness of fit for sequential models.

Nystr\"om Kernel Stein Discrepancy Tests A kernel Stein test of goodness of fit for sequential models

Reference 7

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:94af674360138857da3439164eec7ce61b7d09480ce394b3130be3dbc7670be2

Observation 777dfe5e-2ca4-44be-9e30-067fabfb8c01 · outbound

This paper cites Reproducing Kernel Hilbert Spaces in Probability and Statistics.

Nystr\"om Kernel Stein Discrepancy Tests Reproducing Kernel Hilbert Spaces in Probability and Statistics

Reference 8

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:56a99d6761b177a9329570bcb218bf9beb4a4cac50ef344d81033180e087fc6e

Observation d6535d44-f677-4276-a57a-c1fc7653143c · outbound

This paper cites Bickel and Leo Breiman.

Nystr\"om Kernel Stein Discrepancy Tests Bickel and Leo Breiman

Reference 9

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:c6f7d008b75ca28994dae7ed273f0be9d4de47a0b811c91e606c69e8fd56fbd9

Observation f799bcce-106e-4e57-9c03-4f097c0f5e0e · outbound

This paper cites Optimal rates for regularization of statistical inverse learning problems.

Nystr\"om Kernel Stein Discrepancy Tests Optimal rates for regularization of statistical inverse learning problems

Reference 10

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9dfdda424d679c893f0fbb7658e6d09906009e5054af3685a8c312922b14245f

Observation cc3330e4-8752-4bad-b93f-7b00b2a3925b · outbound

This paper cites Bongiorno, Aldo Goia, and Philippe Vieu.

Nystr\"om Kernel Stein Discrepancy Tests Bongiorno, Aldo Goia, and Philippe Vieu

Reference 11

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Observation 817e7eec-de4e-448c-894c-732d54d217f6 · outbound

This paper cites Optimal rates for regularized least-squares algorithm.

Nystr\"om Kernel Stein Discrepancy Tests Optimal rates for regularized least-squares algorithm

Reference 12

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Observation f49ee381-4442-4cc3-a202-3387ebad6290 · outbound

This paper cites Vector valued reproducing kernel H ilbert spaces and universality.

Nystr\"om Kernel Stein Discrepancy Tests Vector valued reproducing kernel H ilbert spaces and universality

Reference 13

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Observation 71e412e4-a945-4e3a-a08f-53d183e07ec3 · outbound

This paper cites Orlicz random F ourier features.

Nystr\"om Kernel Stein Discrepancy Tests Orlicz random F ourier features

Reference 14

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Observation f90c83aa-542e-43af-9820-712925c04728 · outbound

This paper cites Nystr \"o m kernel mean embeddings.

Nystr\"om Kernel Stein Discrepancy Tests Nystr \"o m kernel mean embeddings

Reference 15

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Observation b1d4fb60-6822-4b33-9628-232f318a58b1 · outbound

This paper cites A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations.

Nystr\"om Kernel Stein Discrepancy Tests A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations

Reference 16

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Observation 6c34026e-efcf-4a51-8e77-6bac20783665 · outbound

This paper cites an unresolved cited work.

Nystr\"om Kernel Stein Discrepancy Tests Unresolved cited work

Reference 17

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Observation 40d525be-10f8-4a1e-b8cd-3f6b443f337a · outbound

This paper cites Fast two-sample testing with analytic representations of probability measures.

Nystr\"om Kernel Stein Discrepancy Tests Fast two-sample testing with analytic representations of probability measures

Reference 18

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:3681eb427eccf5ed30d6c7652bf3abe2bd5a0481c575e8be321176879a2bef3e

Observation 23e322e7-f6aa-41cc-9dca-e07dbfc908e2 · outbound

This paper cites A kernel test of goodness of fit.

Nystr\"om Kernel Stein Discrepancy Tests A kernel test of goodness of fit

Reference 19

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:cd167a754f0e32ad004541faa0e794a54404443e132eb1a5fcb4fccdf6cc06aa

Observation a44ecca1-0c0e-40a8-9ec4-caf2e3734c39 · outbound

This paper cites The minimax lower bound of kernel S tein discrepancy estimation.

Nystr\"om Kernel Stein Discrepancy Tests The minimax lower bound of kernel S tein discrepancy estimation

Reference 20

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:1c207cc89433695aed1f60aeb01df2bc0780f338e6b1e01fd1c83994f8586535

Observation 93fb26cc-754e-4596-a88c-f3684d6bc6d7 · outbound

This paper cites On the mathematical foundations of learning.

Nystr\"om Kernel Stein Discrepancy Tests On the mathematical foundations of learning

Reference 21

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Observation 3cdc46fd-d4cf-43c6-8db7-bfd414f29734 · outbound

This paper cites Learning Theory: An Approximation Theory Viewpoint.

Nystr\"om Kernel Stein Discrepancy Tests Learning Theory: An Approximation Theory Viewpoint

Reference 22

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Observation 8a703cf4-6b62-41a2-afad-5bd4bc00f989 · outbound

This paper cites Regularization: from inverse problems to large-scale machine learning.

Nystr\"om Kernel Stein Discrepancy Tests Regularization: from inverse problems to large-scale machine learning

Reference 23

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Observation dbfd063b-eca8-4193-b97f-f413372c4cae · outbound

This paper cites Random quadratic forms and the bootstrap for U -statistics.

Nystr\"om Kernel Stein Discrepancy Tests Random quadratic forms and the bootstrap for U -statistics

Reference 24

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Observation 8b6fdd13-3311-4f4f-adef-1316c14e283f · outbound

This paper cites Regularized ERM on random subspaces.

Nystr\"om Kernel Stein Discrepancy Tests Regularized ERM on random subspaces

Reference 25

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:a82970d601f3882ea591724293e6fd15f9899e48a583b7f5660ca2179e88564f

Observation 699d3cfc-592a-46d8-a613-14214292e38e · outbound

This paper cites Vector Measures.

Nystr\"om Kernel Stein Discrepancy Tests Vector Measures

Reference 26

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:d51e5b277cf2f2257d02bbe250106e3dca0e753839d28f852e1272201e7e5ad0

Observation c2aebe9b-c4d3-46fa-98e4-b1517f15f780 · outbound

This paper cites A pure hypothesis test for inhomogeneous random graph models based on a kernelised S tein discrepancy.

Nystr\"om Kernel Stein Discrepancy Tests A pure hypothesis test for inhomogeneous random graph models based on a kernelised S tein discrepancy

Reference 27

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:a57830a63d5572b700362d983342e390ba5b76db3cfdcabfbaa2068a05ae5064

Observation bd7c87a3-37ff-42b9-83fb-57b22c4265d9 · outbound

This paper cites Kernelized S tein discrepancy tests of goodness-of-fit for time-to-event data.

Nystr\"om Kernel Stein Discrepancy Tests Kernelized S tein discrepancy tests of goodness-of-fit for time-to-event data

Reference 28

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:81689bd472529b86c770603dcd6c3dc36fbbbb83bfaff273520a46210c98ea78

Observation b372eaae-4ec0-4041-9232-97f06c196d46 · outbound

This paper cites Kernel measures of conditional dependence.

Nystr\"om Kernel Stein Discrepancy Tests Kernel measures of conditional dependence

Reference 29

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Observation 20f1addb-24d1-4f55-8502-1cd42b97f8f3 · outbound

This paper cites Measuring sample quality with Stein 's method.

Nystr\"om Kernel Stein Discrepancy Tests Measuring sample quality with Stein 's method

Reference 30

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Observation 55226535-4ad4-453f-a894-fd5d171dedde · outbound

This paper cites Measuring sample quality with kernels.

Nystr\"om Kernel Stein Discrepancy Tests Measuring sample quality with kernels

Reference 31

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Observation 0823c066-baaf-42ad-b6be-adb5a5a27973 · outbound

This paper cites Sriperumbudur.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur

Reference 32

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Observation 4b3aa03c-f7eb-47bd-821a-e9f4b09498f8 · outbound

This paper cites A kernel two-sample test.

Nystr\"om Kernel Stein Discrepancy Tests A kernel two-sample test

Reference 33

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b633da074148cd84d2278f570b47276688d3bb8848ef0597c4f11b979fb4832e

Observation 29ba9a81-b5ed-4ed7-a7b7-5dfa9e509c9a · outbound

This paper cites Sriperumbudur, and Bing Li.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur, and Bing Li

Reference 34

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b3ac936340aa8ec1d89a5efc5cc4447198602b328f6558c25f56a11270cb9c7c

Observation f703bb40-d73c-4a54-b320-642e0ba798b1 · outbound

This paper cites Sriperumbudur, and Bing Li.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur, and Bing Li

Reference 35

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b40c678d63e42c84caa550441327d8926383f716e6eb1688c5fa81f0b290f9ce

Observation 05c6c623-1887-46a4-be7b-7590b92eedc2 · outbound

This paper cites Minimax optimal goodness-of-fit testing with kernel S tein discrepancy.

Nystr\"om Kernel Stein Discrepancy Tests Minimax optimal goodness-of-fit testing with kernel S tein discrepancy

Reference 36

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:0e78b3bf9ee0ba1e8e9891dafc559f9fcbb22a4d79975846eee3b6b960d522dd

Observation 683b115d-dd59-4351-bf5a-117e250df4b9 · outbound

This paper cites Multivariate goodness-of-fit tests based on W asserstein distance.

Nystr\"om Kernel Stein Discrepancy Tests Multivariate goodness-of-fit tests based on W asserstein distance

Reference 37

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Observation 88b207fb-43a5-4aa2-bb9a-ab1f2a6be824 · outbound

This paper cites Huggins and Lester Mackey.

Nystr\"om Kernel Stein Discrepancy Tests Huggins and Lester Mackey

Reference 38

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:ea4b6423a7631399a6bf008212b6120ec121647ef60b745c5cf07b0dec358ce1

Observation bc33a0f9-a85a-41d6-bfd2-4b62ec644c12 · outbound

This paper cites Ingster and Irina A.

Nystr\"om Kernel Stein Discrepancy Tests Ingster and Irina A

Reference 39

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9ab8780fe2da9488adbc35b68dc269e6ecb2ebcf8f98bed2057951a601401dd5

Observation ffe8837d-9b46-4fe2-b17e-c4afde0efcaf · outbound

This paper cites A linear-time kernel goodness-of-fit test.

Nystr\"om Kernel Stein Discrepancy Tests A linear-time kernel goodness-of-fit test

Reference 40

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:ea9094c6aa788ead549e657f4c18e7ff490dc944b0416dbfbfa199bb37bb67ad

Observation 3a9a5d6d-c916-4f76-a4ba-47ae927dc441 · outbound

This paper cites Nystr \"o m M - H ilbert- S chmidt independence criterion.

Nystr\"om Kernel Stein Discrepancy Tests Nystr \"o m M - H ilbert- S chmidt independence criterion

Reference 41

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b4f48803eecce072d0cbdb37ebde41a06145b05e8f832d83ccd21cc4bf0aa065

Observation 27bfacc9-f2ff-488c-989d-09c5ea4cd07f · outbound

This paper cites Sriperumbudur.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur

Reference 42

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:d1a2076e5e94ce2bca542f6eb6d9bd7e75f75b1f288b638b3e89e1925e8e40fa

Observation 3ce10f6e-4f2a-4d44-b074-a123d56db22b · outbound

This paper cites A kernel S tein test for comparing latent variable models.

Nystr\"om Kernel Stein Discrepancy Tests A kernel S tein test for comparing latent variable models

Reference 43

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:ebabd908744772549a713dadd1e4a0cab5562e3745a22842c072931715bf53da

Observation 64a613bc-38e6-4abf-8ae7-307c0cf8ba4f · outbound

This paper cites an unresolved cited work.

Nystr\"om Kernel Stein Discrepancy Tests Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:6ca426eba1ebd85f0af4f16bb4d90f286d30bd1e2fccf1e07796331074e87dd3

Observation 877c8a82-591a-4764-9817-eda6c96fdc0d · outbound

This paper cites an unresolved cited work.

Nystr\"om Kernel Stein Discrepancy Tests Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:3f4a22662d8b0676d1d5e07b34613fe7ed42909eec33299d40719823ec8489e5

Observation e47b1c69-f0a4-4d01-ac1e-427080074a5f · outbound

This paper cites N-Distances and Their Applications.

Nystr\"om Kernel Stein Discrepancy Tests N-Distances and Their Applications

Reference 46

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:639dcf46c1cda5400d68ebcc587ffb17dac6bbd7f7c9ed9ad431c8d16716c6a9

Observation 0070bb52-d69b-49e9-9d9c-3db8266876bb · outbound

This paper cites Kolmogorov.

Nystr\"om Kernel Stein Discrepancy Tests Kolmogorov

Reference 47

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:538a22e36e06f1d6a54469cb52cc76dab0d093474e818c88d5cde3e4769c5aeb

Observation 15e4a409-0bb4-4afd-baeb-54e7a31ace38 · outbound

This paper cites an unresolved cited work.

Nystr\"om Kernel Stein Discrepancy Tests Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:8308877047c8bad2d42e28405449f2151f1d724f3f342311389269183d05d198

Observation e54f106d-ebd1-493a-ba7c-0933c4e53188 · outbound

This paper cites Lehmann and Joseph P.

Nystr\"om Kernel Stein Discrepancy Tests Lehmann and Joseph P

Reference 49

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:d4047211aaa57d2939f4de0a7db1f2ddea4674b922fbd924a41646e93359472b

Observation 7b853971-ee57-48d6-b7d8-72cf7207d694 · outbound

This paper cites an unresolved cited work.

Nystr\"om Kernel Stein Discrepancy Tests Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:fa4d97ffa99f9b45258aa729d9d6e1e7ae9dcb1eee4c41d45672540c636c2bb1

Observation b4d66896-2b5e-4d70-9889-485270d9a4d6 · outbound

This paper cites Kernel S tein tests for multiple model comparison.

Nystr\"om Kernel Stein Discrepancy Tests Kernel S tein tests for multiple model comparison

Reference 51

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:1fc634f46a42164ab9f4dff015851b2ccdf8900a7c02b88e030d8540ccc6f10c

Observation cb7718af-e911-445a-94d2-a6971bf2e300 · outbound

This paper cites Black-box importance sampling.

Nystr\"om Kernel Stein Discrepancy Tests Black-box importance sampling

Reference 52

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9d1011d694013481e44cf771d4fbe6eabfa1b39fd633c4030854cedee47ad744

Observation 1e7a9a20-d172-45ee-a218-13b1d6a445d5 · outbound

This paper cites A kernelized Stein discrepancy for goodness-of-fit tests.

Nystr\"om Kernel Stein Discrepancy Tests A kernelized Stein discrepancy for goodness-of-fit tests

Reference 53

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b532ebd833b72ac8502a425b52bee53ecc2a3fb4510280e5a6062215773d5594

Observation c154c67f-e194-4d3a-b418-e1a268e97ab7 · outbound

This paper cites On the robustness of kernel goodness-of-fit tests.

Nystr\"om Kernel Stein Discrepancy Tests On the robustness of kernel goodness-of-fit tests

Reference 54

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9c8c116471cc3c3f12facf53980e68a3d18eabef710ea2ad592eb7f0082eb692

Observation 148fc784-942d-471c-84c8-455bb8b5f4cc · outbound

This paper cites Sequential kernelized S tein discrepancy.

Nystr\"om Kernel Stein Discrepancy Tests Sequential kernelized S tein discrepancy

Reference 55

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:f3e6cfc602894cf6886a761a5b9e19fcda33560e7cbeca4657932120011db0cb

Observation a7ce8e07-1600-4fdf-b4b2-4e8492c782da · outbound

This paper cites On the Statistical Approximation of Conditional Expectation Operators.

Nystr\"om Kernel Stein Discrepancy Tests On the Statistical Approximation of Conditional Expectation Operators

Reference 56

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:dd2ba0b78d17bdc742d15597b12646770b1d73498488802ccdb57a5ab97bf355

Observation 8253d98b-e846-43cc-a637-516d20009492 · outbound

This paper cites Sriperumbudur, and Bernhard Sch \" o lkopf.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur, and Bernhard Sch \" o lkopf

Reference 57

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:a3bdd80fa16223dcc25fd25e317cfff2038bb1a716a069a5c8cb146dd7aa816b

Observation 1da0e1f3-7b7e-4a09-ba43-30be77d3b0ed · outbound

This paper cites Integral probability metrics and their generating classes of functions.

Nystr\"om Kernel Stein Discrepancy Tests Integral probability metrics and their generating classes of functions

Reference 58

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:e791a749493efd847030ac4c5bfda4c8f70cf58bc6222032672bfe81dbd0a32f

Observation 577a185e-c142-44b9-8abc-cb0f755b8f6e · outbound

This paper cites o m. \" U ber die P raktische A ufl\.

Nystr\"om Kernel Stein Discrepancy Tests o m. \" U ber die P raktische A ufl\

Reference 59

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:55bf5c706a88dbfddc5ed4bc635a77713f084d07f242205825a4608b05b808d9

Observation c609ebbb-e7d4-4a82-8d88-2fedc505d5db · outbound

This paper cites Oates, Mark Girolami, and Nicolas Chopin.

Nystr\"om Kernel Stein Discrepancy Tests Oates, Mark Girolami, and Nicolas Chopin

Reference 60

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:d007f75c215d1c0c62b9d21282adeeb0f9ee8243b3a0318b0ace10b1ad0dda53

Observation 88f54ae5-d384-4816-b125-1172601ec3cd · outbound

This paper cites Optimum bounds for the distributions of martingales in B anach spaces.

Nystr\"om Kernel Stein Discrepancy Tests Optimum bounds for the distributions of martingales in B anach spaces

Reference 61

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:c9b010025a78b922f33091f77b9ee5bbe2588e7ab70ebe17b765fd9c11d10b86

Observation 55ef1d92-4d31-4104-98b3-d431cd057b42 · outbound

This paper cites Random features for large-scale kernel machines.

Nystr\"om Kernel Stein Discrepancy Tests Random features for large-scale kernel machines

Reference 62

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:5a59d5039a4337439072dc35e2f28c00698c4c1a17cbd3b3b6e75ccdae8c0f19

Observation ee6790d8-f8b8-447a-b25a-2415480d08c9 · outbound

This paper cites Less is more: Nystr \"o m computational regularization.

Nystr\"om Kernel Stein Discrepancy Tests Less is more: Nystr \"o m computational regularization

Reference 63

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:6e6f0a01b1c3c6e5b618132070bfbebbb0541889def5706becc0cf7fdada48d3

Observation 92ca0461-dfd7-4d85-b360-a6ad4a461482 · outbound

This paper cites Schilling.

Nystr\"om Kernel Stein Discrepancy Tests Schilling

Reference 64

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:4a82ce25379b1833257b09daec9dca98ae1697f7cc36e5c2fcffd8958b6baf23

Observation 23e6b665-05bc-4d83-ab45-f90cf61537c7 · outbound

This paper cites Schilling.

Nystr\"om Kernel Stein Discrepancy Tests Schilling

Reference 65

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:05c004e142cefd95589e7f3fb0aac3c1992dcae76f36a854d163bcfdb06b2197

Observation c5cdb6a0-da73-40b1-86ae-94315fefb30a · outbound

This paper cites KSD aggregated goodness-of-fit test.

Nystr\"om Kernel Stein Discrepancy Tests KSD aggregated goodness-of-fit test

Reference 66

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:0ab3d992bbe98ad485abfc28b38999b72c1ec8976feba1afbb9d0c20c0333f20

Observation cf4fb628-e2bc-43f9-931d-373036dfda1b · outbound

This paper cites Efficient aggregated kernel tests using incomplete U -statistics.

Nystr\"om Kernel Stein Discrepancy Tests Efficient aggregated kernel tests using incomplete U -statistics

Reference 67

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:7781817f9e7ed8ad1939120a6cb4cd59db4504944b8efd9247944ca30df770f2

Observation 6317abce-a610-452a-8828-480cebcc2e14 · outbound

This paper cites A kernel test for three-variable interactions.

Nystr\"om Kernel Stein Discrepancy Tests A kernel test for three-variable interactions

Reference 68

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b606c88e0c28b05ce6acd496d348725407b2a79821f64d7055dd60c516b19f72

Observation 6a541450-7c1f-4bb0-89bd-d0d5175504ab · outbound

This paper cites Equivalence of distance-based and RKHS -based statistics in hypothesis testing.

Nystr\"om Kernel Stein Discrepancy Tests Equivalence of distance-based and RKHS -based statistics in hypothesis testing

Reference 69

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:b446f21379b7442f1e6063081cf7255682b0009cd608346f5eaff07cd329d5eb

Observation 67109048-aaa8-4cd8-afd8-15d109189dc8 · outbound

This paper cites Serfling.

Nystr\"om Kernel Stein Discrepancy Tests Serfling

Reference 70

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:d3b84e264dc969568528c85debc5f03a2ab869d8e95fa41625da0b612d820c87

Observation 741825af-a149-4f60-8b1d-fa5d7bc44b17 · outbound

This paper cites Mathematical Statistics.

Nystr\"om Kernel Stein Discrepancy Tests Mathematical Statistics

Reference 71

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:ee6745269bd01d271ecbb65f30e68e2d2d489a9c3918b52f76088314a579d0dd

Observation b1f79155-5972-4706-9507-60f61ce21966 · outbound

This paper cites Learning theory estimates via integral operators and their approximations.

Nystr\"om Kernel Stein Discrepancy Tests Learning theory estimates via integral operators and their approximations

Reference 72

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:efa7735d034f6380518ac1ecc28c2db6e540c91d75bca994ad66d1cd23d6601b

Observation 03f449d5-0098-4bfa-8a83-c92ac9654248 · outbound

This paper cites an unresolved cited work.

Nystr\"om Kernel Stein Discrepancy Tests Unresolved cited work

Reference 73

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:3e50cc36fc5336421d07dde8d2928802edadae55df94787823378ed6cd2a1302

Observation ca03750c-41ef-4ccb-a2ab-5db33ab23b91 · outbound

This paper cites A H ilbert space embedding for distributions.

Nystr\"om Kernel Stein Discrepancy Tests A H ilbert space embedding for distributions

Reference 74

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:5e87f2fe157f5d03fce8e1eec96388959160c7b3adff3076e1d9a57e0e87c4ae

Observation 629530a1-5613-4f86-bcf1-92a6b3864c6f · outbound

This paper cites Hilbert space embeddings and metrics on probability measures.

Nystr\"om Kernel Stein Discrepancy Tests Hilbert space embeddings and metrics on probability measures

Reference 75

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:645ff0090ae6b6bac81f9ee72b93c8fe4e64802838809aea6e5f506fd2bfbd59

Observation 9c246d1b-3ed4-45aa-88a5-5e7b312054b4 · outbound

This paper cites Sriperumbudur and Nicholas Sterge.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur and Nicholas Sterge

Reference 76

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:90dea89bf79578ee448cd0c4a3b9f42ca36a09a683cd769afe3dc480f041040e

Observation 0f1155a4-6c66-4300-a81f-50ad6d935e75 · outbound

This paper cites Sriperumbudur and Zolt \'a n Szab \'o.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur and Zolt \'a n Szab \'o

Reference 77

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:8658ab7b0a0879aba0d0244dd5c8e59ebc34fd2f39e315e2eb5f4ee926fcd5d0

Observation 97be2421-a38c-4362-ba83-e1c4753190b1 · outbound

This paper cites A bound for the error in the normal approximation to the distribution of a sum of dependent random variables.

Nystr\"om Kernel Stein Discrepancy Tests A bound for the error in the normal approximation to the distribution of a sum of dependent random variables

Reference 78

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:1303e2a026ec31d7b2ecfe27090a3c392bcf08b2d149d89c4b0ce21d3b392e24

Observation 1e3186c4-ed0c-4a11-badb-6f717f1d663d · outbound

This paper cites Support Vector Machines.

Nystr\"om Kernel Stein Discrepancy Tests Support Vector Machines

Reference 79

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:385c76cc60ed7ac2592241716ed46f89ad8e85bc5a545d9f76e3bca1e148e0ac

Observation d6bae120-c0c0-4654-8e08-495a4eea9520 · outbound

This paper cites Mercer's theorem on general domains: On the interaction between measures, kernels, and RKHS s.

Nystr\"om Kernel Stein Discrepancy Tests Mercer's theorem on general domains: On the interaction between measures, kernels, and RKHS s

Reference 80

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:2fab96deb69180dedeed56b05ceb16791e1cad77c7fa46f14158eccb6be71c34

Observation 3ae7c97c-be93-4737-be34-e816de948be1 · outbound

This paper cites Sriperumbudur.

Nystr\"om Kernel Stein Discrepancy Tests Sriperumbudur

Reference 81

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:4e72aa8da8bdf504615711331b07fd9566e2cacfa6579a1c747232f59c9e10e7

Observation c3dbf1ee-f581-42fc-9c38-ada7a4216dbe · outbound

This paper cites Testing for equal distributions in high dimension.

Nystr\"om Kernel Stein Discrepancy Tests Testing for equal distributions in high dimension

Reference 82

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:6f968bafbab7354530d23d84f75c76e14bdf4a29517230873f314c7ae40ab6d3

Observation f5042a7c-3b25-4473-b2e5-7ad3a2c70568 · outbound

This paper cites A new test for multivariate normality.

Nystr\"om Kernel Stein Discrepancy Tests A new test for multivariate normality

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:5bdc7b6ce8411bc7dbb6e125ce510969e8be205e22e3a447f09543db0e9526e4

Observation 9d32c9c6-2c18-40fe-8909-5dd48f835bc6 · outbound

This paper cites Weak Convergence and Empirical Processes: With Applications to Statistics.

Nystr\"om Kernel Stein Discrepancy Tests Weak Convergence and Empirical Processes: With Applications to Statistics

Reference 84

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:ddd2330ffb1afa7a0e7076b58f1919bd7ec96b9ec99236bdf1602c83f3edf1ab

Observation ef52ab65-0deb-4dab-a3d3-54f9fe7bec17 · outbound

This paper cites van der Vaart.

Nystr\"om Kernel Stein Discrepancy Tests van der Vaart

Reference 85

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:3a8562ca3a526c0978c79d299d790bad2c1b21a104816d22da43b13622388b6d

Observation 5d605ef9-cd1a-4a86-8cac-f189a20e17bc · outbound

This paper cites High-Dimensional Probability.

Nystr\"om Kernel Stein Discrepancy Tests High-Dimensional Probability

Reference 86

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:01b489ce3d8c4b13152219ecd6c365b1845daad3449c84a44767325197c1df15

Observation 5c54d951-03ba-477c-a071-140972bfdefa · outbound

This paper cites Using the N ystr \" o m method to speed up kernel machines.

Nystr\"om Kernel Stein Discrepancy Tests Using the N ystr \" o m method to speed up kernel machines

Reference 87

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:21fe24e76ec9c55f5307981bd1fca458afa3237a79a4143a6259ea09dff13c6f

Observation de9f9673-3594-4ff9-939b-ab410c9a5c7b · outbound

This paper cites Kasprzak, and Andrew B.

Nystr\"om Kernel Stein Discrepancy Tests Kasprzak, and Andrew B

Reference 88

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Observation a535116e-4d66-452c-be23-83167e05564e · outbound

This paper cites A S tein goodness-of-fit test for directional distributions.

Nystr\"om Kernel Stein Discrepancy Tests A S tein goodness-of-fit test for directional distributions

Reference 89

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Observation 978c9c73-608a-4567-a225-5881d9d65d08 · outbound

This paper cites Interpretable S tein goodness-of-fit tests on R iemannian manifold.

Nystr\"om Kernel Stein Discrepancy Tests Interpretable S tein goodness-of-fit tests on R iemannian manifold

Reference 90

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:9610d85c85ea7eaf37a809b9f2f71a9b49a1970c716f062091e164e67f5e03dd

Observation cc2a00ef-af31-4dd8-8785-900815a590d3 · outbound

This paper cites A S tein goodness-of-test for exponential random graph models.

Nystr\"om Kernel Stein Discrepancy Tests A S tein goodness-of-test for exponential random graph models

Reference 91

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:2a76be1994516bc75878cb286d28ca2126b6bafc8bf82bc5977253ef358cdc84

Observation 514fca0f-8a94-42e0-90f9-308a67cb6e34 · outbound

This paper cites Goodness-of-fit testing for discrete distributions via S tein discrepancy.

Nystr\"om Kernel Stein Discrepancy Tests Goodness-of-fit testing for discrete distributions via S tein discrepancy

Reference 92

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:4aa4628b973d36140f72585a5590e273504c24d05876ea5db9449e9bcf580944

Observation 8a32ed52-8246-48ac-9040-ab643c45864d · outbound

This paper cites Rao, and Jennifer Neville.

Nystr\"om Kernel Stein Discrepancy Tests Rao, and Jennifer Neville

Reference 93

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:1725a8f6ec6484c57dd9e3f6c47983573f00c10bf76b93b9793bad8211edb4ad

Observation 8096d703-9b64-4796-ae78-7bee614c8385 · outbound

This paper cites Sums and G aussian Vectors.

Nystr\"om Kernel Stein Discrepancy Tests Sums and G aussian Vectors

Reference 94

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:0a5ba2be105d13c2d8a929b04baaddb4a738e33dd66d8a01bc5877d7951f290e

Observation 57152830-e3ba-4ba1-ac85-c0541b2eb58e · outbound

This paper cites Zinger, A.

Nystr\"om Kernel Stein Discrepancy Tests Zinger, A

Reference 95

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source=arxiv_source observed=2026-06-29T23:40:10.765241Z digest=sha256:02563b0531ac842c08cf270ac3ae54447544fd7de3b4bc289fe13e4a15ebb6e2

Observation 9d1af1b5-ae65-435b-bb8d-2113e27d6175 · outbound

This paper cites Zolotarev.

Nystr\"om Kernel Stein Discrepancy Tests Zolotarev

Reference 96

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Pith citing papers

Observation b3a0b587-da24-4a94-b83d-214c5b8648a7 · inbound

Minimax Estimation of Kernel Stein Discrepancy: Trace versus Hilbert-Schmidt Scales cites this paper.

Minimax Estimation of Kernel Stein Discrepancy: Trace versus Hilbert-Schmidt Scales Nystr\"om Kernel Stein Discrepancy Tests

Reference 18

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source=pdf_text observed=2026-07-12T02:59:05.729991Z digest=sha256:c5fccb6f0f216dbd53eb99348b10a2c4bbabb92f6a949b4617878cdd1c7de694

Observation 8f47c24f-2a21-4908-8500-659320547c53 · inbound

Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD cites this paper.

Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD Nystr\"om Kernel Stein Discrepancy Tests

Reference 63

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source=arxiv_source observed=2026-07-31T20:25:42.545949Z digest=sha256:9a2c87242f21e44c323b7e94cd71d602c30933c7af874e85f2cdde6f40336407