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Paper Citation Record · LEDGER

Mutual Regression Distance

As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2501.10617.

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

pith.paper-citation-record.v1
2501.10617 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:08:49.011227Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

74 of 74 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 777cab6f-b6ef-4161-8252-e28759e7314c · outbound

This paper cites Faster wasserstein distance estimation with the sinkhorn divergence.

Mutual Regression Distance Faster wasserstein distance estimation with the sinkhorn divergence

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation acb695c5-4431-4f13-ad0c-753de0e5114f · outbound

This paper cites Minimax estimation of maximum mean discrepancy with radial kernels.

Mutual Regression Distance Minimax estimation of maximum mean discrepancy with radial kernels

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.805334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:25.135196Z digest=sha256:ec67ef9d493bd799c98ff3d8841ef3811b2523f81a5e51ea78a4e18607e2f94f

Observation fd25b745-162b-49be-b40b-fa77cc4c7945 · outbound

This paper cites Wasserstein generative adversarial networks.

Mutual Regression Distance Wasserstein generative adversarial networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.320282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.320282Z digest=sha256:9bbbaa8a8c26a972cd457a5a9c62aa6673ad81978f36850759646d12815b612b

Observation 9314da5a-0085-4cee-94c2-158f18fdf056 · outbound

This paper cites Controlling wasserstein distances by kernel norms with application to compressive statistical learning.

Mutual Regression Distance Controlling wasserstein distances by kernel norms with application to compressive statistical learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.765826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.370762Z digest=sha256:b3294d652b6331423ec9c519eb7784936ed0b769290c838b650ab2dddcc9275e

Observation 66a870ea-abe9-466d-a5f7-ff08eb3fbab2 · outbound

This paper cites Distance metric learning: A comprehensive survey.

Mutual Regression Distance Distance metric learning: A comprehensive survey

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.742589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.378974Z digest=sha256:e80c4413285637d5c47b666f576cebcfaf98b2f21949c94d22a80fd3052c9bb0

Observation 865580d8-a0aa-480f-9476-939bae93a5d1 · outbound

This paper cites A tutorial on spectral clustering.

Mutual Regression Distance A tutorial on spectral clustering

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.721894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.417202Z digest=sha256:df84ac3d03184173dfd4448d013dd5fc4e4d6eb482d070e757a8036c1b150fa7

Observation 3e67bd5d-7489-443c-a4a4-1dd44c42c7cc · outbound

This paper cites Visualizing data using t-sne.

Mutual Regression Distance Visualizing data using t-sne

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.467721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.467721Z digest=sha256:15c95aca7b2c39718832049309e2f033a4addfeea5aa32f5a6df09a496abba7c

Observation 9f9ee046-7a10-45da-b44e-b5a3d798397b · outbound

This paper cites Metric learning: A survey.

Mutual Regression Distance Metric learning: A survey

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.686270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.502950Z digest=sha256:c59bd85020b91b9ad08f079ba2452aaa587b956ce0ff8239b21205f5fa716ca8

Observation 5ce1acc9-28b3-482d-b6a5-6d5e6cdc10a8 · outbound

This paper cites Deep metric learning: A survey.

Mutual Regression Distance Deep metric learning: A survey

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.656611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.510863Z digest=sha256:8a3ee6f0e6849c8c9502ed7dc1c054aeb1c878369842ba3f764ad6df8fd62f7c

Observation 9e1765db-ab43-4f25-90ef-b8c0817eba74 · outbound

This paper cites On information and sufficiency.

Mutual Regression Distance On information and sufficiency

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.519623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.519623Z digest=sha256:54f9739e34aeae8b385fa951e45914c282ff4fb0f7ed7813c8a68c27c53c4abb

Observation d412a53f-fdd3-4a03-b3c4-ca959354b4fb · outbound

This paper cites Robust and efficient estimation by minimising a density power divergence.

Mutual Regression Distance Robust and efficient estimation by minimising a density power divergence

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.619010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.527765Z digest=sha256:65e7fdf392aa3801177985dc74ac64bd4bf69011cc9327831ccc53c4a063e5a2

Observation 323127f6-08d6-4ebb-809f-6d342bf1dd84 · outbound

This paper cites Information and information stability of random variables and processes.

Mutual Regression Distance Information and information stability of random variables and processes

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.599039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.534983Z digest=sha256:7536fe412855d7c683cc072aa140f7b6c9428787f9836d8e491756cd89167baa

Observation eb3a3303-9769-40b0-bd20-7830ce97ea2b · outbound

This paper cites Interpolating between optimal transport and mmd using sinkhorn divergences.

Mutual Regression Distance Interpolating between optimal transport and mmd using sinkhorn divergences

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.579068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.542033Z digest=sha256:547c63b02430e397d8c56844af7fbb7ee2f302e64e0401298939dd62f3ef7199

Observation ea42b5b3-303a-485e-9f36-cb6836f3e109 · outbound

This paper cites Optimal transport: old and new, volume 338.

Mutual Regression Distance Optimal transport: old and new, volume 338

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.555496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.555496Z digest=sha256:09816ca2fcc8549b18f5c90a8b05b8de2323ae6760ecd347f267d27bb36324a2

Observation a7258a3e-cc6e-4a12-8719-33c2197287bb · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Mutual Regression Distance Sinkhorn distances: Lightspeed computation of optimal transport

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.561965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.561965Z digest=sha256:6c45d83a4d37dddc3439c7d43b7ee451b4ab66e0bfad1a269abbd25915f67c80

Observation a9583568-5fba-4da7-b8cd-92e6172d7e48 · outbound

This paper cites A kernel method for the two-sample-problem.

Mutual Regression Distance A kernel method for the two-sample-problem

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.569827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.569827Z digest=sha256:bae5e4e527b0663951114dc5ba4d29780605c92945b47eeeb4c5b4cf43cd1d4f

Observation ab513500-b90e-4985-b4c3-1655f8d80fbf · outbound

This paper cites A kernel two-sample test.

Mutual Regression Distance A kernel two-sample test

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.581356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.581356Z digest=sha256:623d58e26917594bdee1636992e4b7c377d6aea6cbc8e6ea22b7f6212d1f9fc8

Observation 623608dd-697b-45b7-a2b3-0b649de04a86 · outbound

This paper cites Characterization of translation invariant mmd on rd and connections with wasserstein distances.

Mutual Regression Distance Characterization of translation invariant mmd on rd and connections with wasserstein distances

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.496995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.590060Z digest=sha256:afb748387c1b038878f9b38f039e1d0bb3b2e6ed714f135c01e92e1b0dd8f612

Observation dfc5ef2b-4d13-495a-b471-5044b829c299 · outbound

This paper cites Optimal bounds between f-divergences and integral probability metrics.

Mutual Regression Distance Optimal bounds between f-divergences and integral probability metrics

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.476613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.598230Z digest=sha256:5bd4be59b4eb88e2a792fd16401d27600b95c51f79770e5a4eabd6d6976fe79b

Observation 5d223a6e-6ff0-45e6-b047-ddce6ec83749 · outbound

This paper cites Mmd aggregated two-sample test.

Mutual Regression Distance Mmd aggregated two-sample test

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.605409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.605409Z digest=sha256:e8bf18897e3a4c19ef3f832a0d28290ccceec6a1bfc5e92255f08a8d2b35301b

Observation 496036b7-e8ef-485a-833f-f62abdedea75 · outbound

This paper cites Mathematical methods of organizing and planning production.

Mutual Regression Distance Mathematical methods of organizing and planning production

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.437933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.612584Z digest=sha256:d352b4b07063af5dd2e957908b4ad586326a9e2a49faead1d2ae0ceb00006d9f

Observation 6a1069bf-8fa0-43be-99fc-4074cc43e89b · outbound

This paper cites The earth mover's distance as a metric for image retrieval.

Mutual Regression Distance The earth mover's distance as a metric for image retrieval

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.416041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.619614Z digest=sha256:c25a183b0b270e9ca2665d7e8c87126d3db20706e318c0c0c0def52051fb7034

Observation dda298b3-50e7-4e4d-82e2-61907ac215ba · outbound

This paper cites Barycenters in the wasserstein space.

Mutual Regression Distance Barycenters in the wasserstein space

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.391474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.627076Z digest=sha256:8b98ff10cde96bdb5e9a22cf8f0ce81ac1e0ec55952986ae09576502deaedb99

Observation f6fbbc4d-1de9-4d54-ad66-424f6f8f6eae · outbound

This paper cites Improved training of wasserstein gans.

Mutual Regression Distance Improved training of wasserstein gans

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.651685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.651685Z digest=sha256:dbdae993c063a2fb7f0d1bec15961d4433712794d8e97a92c6f14c57b77b40b8

Observation 3e668dea-45f0-4ade-8c42-6a83967382bd · outbound

This paper cites Wasserstein wormhole: Scalable optimal transport distance with transformers.

Mutual Regression Distance Wasserstein wormhole: Scalable optimal transport distance with transformers

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.353013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.670612Z digest=sha256:e34627d318bce7ea3d8464c93a7531e8bce43d5d0625b23e3fda3e9e165f7878

Observation 62e70b55-1f54-44c9-80b4-4d7a6e1dd26a · outbound

This paper cites Sample complexity of sinkhorn divergences.

Mutual Regression Distance Sample complexity of sinkhorn divergences

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.330469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.680632Z digest=sha256:f4e86c3b4e47f4429c8049b8ff6fdf1c66ac597f45859f24d566dd5f514bfa56

Observation 312f2adf-250d-490d-9ada-303932fcdd05 · outbound

This paper cites Near-linear time approximation algorithms for optimal transport via sinkhorn iteration.

Mutual Regression Distance Near-linear time approximation algorithms for optimal transport via sinkhorn iteration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.310617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.687330Z digest=sha256:2d6fc2a94c5572c3a7d3efc895131e7d2f5fcaf5a6bbf38156b48b55d12c6d20

Observation 124e8911-3493-405b-8706-7a2dc9fc2946 · outbound

This paper cites Learning generative models with sinkhorn divergences.

Mutual Regression Distance Learning generative models with sinkhorn divergences

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.289573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.695033Z digest=sha256:6f1f68c70728c79ed1cbbd034626dabf1631c01a490471bc9dafab3e4fd293fa

Observation b0c7a1a4-15bd-4789-af75-aeb1b6547933 · outbound

This paper cites Training generative neural networks via Maximum Mean Discrepancy optimization.

Mutual Regression Distance Training generative neural networks via Maximum Mean Discrepancy optimization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.701723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.701723Z digest=sha256:9681ef5565034d661cb04d3b02f8fcd4d04d0f0e26f833f3a23aa6ac60a926bc

Observation 3b380746-cd22-4e9a-94c9-85e638df0e47 · outbound

This paper cites Spectral Clustering for Discrete Distributions.

Mutual Regression Distance Spectral Clustering for Discrete Distributions

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:08:49.390323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.709640Z digest=sha256:72555a1582334eb67a9ccf7247c404d791705e32bbd1972031204cc379de375c

Observation 29b5c915-188b-4f09-a895-4a0380d41986 · outbound

This paper cites Mmd gan: Towards deeper understanding of moment matching network.

Mutual Regression Distance Mmd gan: Towards deeper understanding of moment matching network

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.716796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.716796Z digest=sha256:09396bed580779ecbfdb4df2599a6434ffdd1649e4f62347bb6bba97df84e2a4

Observation 4d935670-0841-4165-8d1b-f3e0405aa210 · outbound

This paper cites Demystifying MMD GANs.

Mutual Regression Distance Demystifying MMD GANs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.722135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.722135Z digest=sha256:d996a9287af2c2b2fbc2384981e3669bb5a975214e467b7b0dd1a901ac6fb11d

Observation b3b84a92-7366-4ce6-a2df-9c66377425ad · outbound

This paper cites On gradient regularizers for mmd gans.

Mutual Regression Distance On gradient regularizers for mmd gans

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.083054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.728906Z digest=sha256:f65db27433157f4289625f0f9a9e88849d7ed78a348ed553af30566eee7f31b7

Observation f98ccfe2-dfb6-4182-912e-f3598df2c527 · outbound

This paper cites Distribution-matching embedding for visual domain adaptation.

Mutual Regression Distance Distribution-matching embedding for visual domain adaptation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.062506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.734320Z digest=sha256:7b71c86aff3dd9579ba409fbd8509290db8f8620594d5c38a9d13ccd14e6fb1c

Observation bf17b68e-6cde-40c7-a7ab-e744ef197b27 · outbound

This paper cites Statistical aspects of wasserstein distances.

Mutual Regression Distance Statistical aspects of wasserstein distances

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.041582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.741806Z digest=sha256:2cc6c762baad49b56cc2eed3a9551ad99067fab100ea3637140ae5ad232ca075

Observation ea9b18ac-1b76-44e7-9089-f1b1bd96043e · outbound

This paper cites Subspace robust wasserstein distances.

Mutual Regression Distance Subspace robust wasserstein distances

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:50.017436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.747348Z digest=sha256:db878d20c2e0073fd9abaf1531cd60b41d82d71f712fb582d87fcb0662e12149

Observation 808df7f2-499b-4792-85ec-8f18e25209eb · outbound

This paper cites Hierarchical Sliced Wasserstein Distance.

Mutual Regression Distance Hierarchical Sliced Wasserstein Distance

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.753857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.753857Z digest=sha256:3989dc7019d8700bb95c4bbd63ba0539baf337f7904f8bd3e0283b6d51d664c9

Observation 40d90f65-4e75-4842-966b-bd68229f6215 · outbound

This paper cites Sliced and radon wasserstein barycenters of measures.

Mutual Regression Distance Sliced and radon wasserstein barycenters of measures

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.760430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.760430Z digest=sha256:289d1b27fb85d7e76174882ffc92d5a6d3a57f5e48a77da8866b76a4fc3fc84b

Observation 98bb1f79-e3d3-442c-a746-1fbb9b65f706 · outbound

This paper cites Generalized sliced wasserstein distances.

Mutual Regression Distance Generalized sliced wasserstein distances

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.766399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.766399Z digest=sha256:e349bb9c8a4f1341258dd3942ee08d8cce3fe6a06251317edf611a40df887dce

Observation 2ec9b0ec-456f-47a2-8a7a-276fa4108ac9 · outbound

This paper cites Multivariate soft rank via entropy-regularized optimal transport: Sample efficiency and generative modeling.

Mutual Regression Distance Multivariate soft rank via entropy-regularized optimal transport: Sample efficiency and generative modeling

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.968462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.773432Z digest=sha256:f7388ca277448d572bff19e7bdbc4563535d85fe3d18a0942d3736eca6d6d21b

Observation afd85913-82c0-42e8-ac2f-13c00c5865ea · outbound

This paper cites Analysis of representations for domain adaptation.

Mutual Regression Distance Analysis of representations for domain adaptation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.779385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.779385Z digest=sha256:9555cdeccdc75221c95d6844dbf34bf058c7c9b11e7dd90d1575fbb9c22f958e

Observation 66e64a56-c564-43b2-9e81-02cad90152d9 · outbound

This paper cites Optimal transport for domain adaptation.

Mutual Regression Distance Optimal transport for domain adaptation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.786010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.786010Z digest=sha256:b51774b645ccb06f29fffd820bf21252e5895b0169abb45dcef045f95d9fa5ff

Observation 0bb30297-653e-4675-82de-9b8f477fe4d8 · outbound

This paper cites A survey of transfer learning.

Mutual Regression Distance A survey of transfer learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.791557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.791557Z digest=sha256:2ee9bf73a2b5c7985fdb9fadac1ab9a149475c94f4c7b27986ae6a0e766c2247

Observation 39a295ca-8e85-4fa1-a741-09f88993806f · outbound

This paper cites Wasserstein distance guided representation learning for domain adaptation.

Mutual Regression Distance Wasserstein distance guided representation learning for domain adaptation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.906000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.799532Z digest=sha256:4cdb74d5f4b4d7c62fc5ea407025c2bfbab2cd947ccf277b0389c3e0cbaddfcf

Observation bf6debb0-abb4-4754-a90a-fe5d7e29d780 · outbound

This paper cites an unresolved cited work.

Mutual Regression Distance Unresolved cited work

Reference 45

Resolution
verified exact
raw_fallback, observed 2026-08-10T19:08:49.315203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.805749Z digest=sha256:dad7c0a5adb936fe9958516efb3df256e7902fb563c6fd9e946c335caffae6fb

Observation 5e28e7d6-7cb7-4a27-b3f6-da0ece89b11c · outbound

This paper cites Fast discrete distribution clustering using wasserstein barycenter with sparse support.

Mutual Regression Distance Fast discrete distribution clustering using wasserstein barycenter with sparse support

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.811882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.811882Z digest=sha256:9b8d0724d0f013644a0549c28b5383aaa0f6fbc676cb00177dbc32fb1516ffe5

Observation ad6a477f-e166-408d-8f62-098f66987d1d · outbound

This paper cites MMD graph kernel: Effective metric learning for graphs via maximum mean discrepancy.

Mutual Regression Distance MMD graph kernel: Effective metric learning for graphs via maximum mean discrepancy

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.862280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.825045Z digest=sha256:bd2b09340ebd425f13111835f838e67ce8c8ef1d0ebe5e90e5d3b7c7e7db9b63

Observation 6052c346-f7de-47c7-9ac1-760791f46f2e · outbound

This paper cites Further results on the subspace distance.

Mutual Regression Distance Further results on the subspace distance

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.836010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.832186Z digest=sha256:88ec70d3e7a5e6377c78e26658ba4c344797cb27811a459be51798ff25533031

Observation 79f9bf9b-f318-4a25-859c-3779dc6903bf · outbound

This paper cites Schubert varieties and distances between subspaces of different dimensions.

Mutual Regression Distance Schubert varieties and distances between subspaces of different dimensions

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.814977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.837973Z digest=sha256:513ce003a192e94dfe21462a79bda178861e9283b39929623e1aa3fb3e23665b

Observation 5b4e46a0-d88a-42be-9d40-e42fb6d98f74 · outbound

This paper cites Learning high dimensional correspondences from low dimensional manifolds.

Mutual Regression Distance Learning high dimensional correspondences from low dimensional manifolds

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.793160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.844336Z digest=sha256:cb2181cac2f1fe77c04e73a9bd35da7c20cdc2340eb9487c3ef9eec1b37502a6

Observation ef7df327-9d15-4db7-ae99-05b9cd3baf40 · outbound

This paper cites Manifold alignment without correspondence.

Mutual Regression Distance Manifold alignment without correspondence

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.772547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.853715Z digest=sha256:49477873fd5a32ea2ddc09690a1b51f05e45406e67f53242c8239c9fd3ae603e

Observation 3124be9c-6d0e-4872-9108-6d9827f33b4d · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Mutual Regression Distance WaveNet: A Generative Model for Raw Audio

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.862373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.862373Z digest=sha256:7365e45c26a3dda0d09621e823aa0ae78893b306d4b2d96d4105994444afe7e9

Observation c7379d2c-07a3-4844-8a4e-c86c49290426 · outbound

This paper cites Density estimation using Real NVP.

Mutual Regression Distance Density estimation using Real NVP

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.870293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.870293Z digest=sha256:3b6af4841032a739f3b67063ffd2b45e96016c5471255cdaeb8750383eb2fe07

Observation dd638d74-9730-40c2-9486-54c059285299 · outbound

This paper cites Normalized cuts and image segmentation.

Mutual Regression Distance Normalized cuts and image segmentation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.879183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.879183Z digest=sha256:185500212becf2e99f8d67783d79bf2ca7b4e116bd879eb51524fa90570a9593

Observation a6997e51-5ea2-4a1f-9932-46d7669ee505 · outbound

This paper cites On spectral clustering: Analysis and an algorithm.

Mutual Regression Distance On spectral clustering: Analysis and an algorithm

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.732090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.887943Z digest=sha256:df63b7c418e44035d4b188112be52e8a41545508e21df715c9cb14b5145b46a5

Observation 1a73e08c-651c-4172-a8db-c48c06d6001a · outbound

This paper cites Projection robust wasserstein barycenters.

Mutual Regression Distance Projection robust wasserstein barycenters

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.708819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.895323Z digest=sha256:77a2a4cdd942f0ee0fbf91c851d9370721307a1ab1668864613cabb8828901e5

Observation ce218dcc-0c2a-4d0a-bf96-3bbb14a814d0 · outbound

This paper cites Practical solutions to the problem of diagonal dominance in kernel document clustering.

Mutual Regression Distance Practical solutions to the problem of diagonal dominance in kernel document clustering

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.683681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.901843Z digest=sha256:94d37f057c085f40bcb4e613e3423fd885f6f2aa3450accbde5050aee5e34534

Observation 546eba58-1e2d-4d80-9f9a-35a3191554a4 · outbound

This paper cites Reuters-21578 Text Categorization Collection.

Mutual Regression Distance Reuters-21578 Text Categorization Collection

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.908115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.908115Z digest=sha256:ae608c3b5ca22d3968b243a5ec28ec0809a891f1438bdd96b25d4ea16559045a

Observation 1be8f5cf-1e95-4c04-919e-6e810c0b903d · outbound

This paper cites Gradient-based learning applied to document recognition.

Mutual Regression Distance Gradient-based learning applied to document recognition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.914098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.914098Z digest=sha256:1df4298dd2349350a6969a38f6f70dd0306b56a7a9f7a55755475e970716b9af

Observation 5659cbc0-dbd6-4422-8ed2-0a2d7018f080 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Mutual Regression Distance Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.920246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.920246Z digest=sha256:1897a9a264c6e8593cde1da0026a7364fd25e6c8bb411e0be652d38061def646

Observation 163bd328-b172-4a61-a221-89bb2d409c75 · outbound

This paper cites Learning multiple layers of features from tiny images.

Mutual Regression Distance Learning multiple layers of features from tiny images

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.926856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.926856Z digest=sha256:1f9bc15f74d8f20745bd291c573c9c0b3b3d2cd04c6df3baf5d5e9e2d41a4732

Observation 31ee325f-1f13-44c2-b8ac-ad157140867c · outbound

This paper cites Deep learning face attributes in the wild.

Mutual Regression Distance Deep learning face attributes in the wild

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.932040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.932040Z digest=sha256:cf892d83faee2434231c090b1cdb260685ce973d6279449680975c653f5bd067

Observation d529df5e-73e6-40c2-9611-6d25d4fd6db1 · outbound

This paper cites Adapting visual category models to new domains.

Mutual Regression Distance Adapting visual category models to new domains

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.619631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.939419Z digest=sha256:8a9b2aeefc29c50330e5933b4f7c39b7b0db5168f3a527d257720951728ccab9

Observation 74cdd92a-9099-49b9-9597-7da24fa1984f · outbound

This paper cites Everything about transfer learning and domain adapation.

Mutual Regression Distance Everything about transfer learning and domain adapation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.599377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.944977Z digest=sha256:865dd1ec02058f55d5f484fa7cdda718cb001b09442fe6608a6100f107999f70

Observation 2b619d0f-273c-4900-82dd-d158e0d9c7a7 · outbound

This paper cites Learning transferable features with deep adaptation networks.

Mutual Regression Distance Learning transferable features with deep adaptation networks

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.577691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.950940Z digest=sha256:deae899e19fa60476b3f09399f15a846a68f9fae208e73b254f89f968ea41820

Observation 53e22012-3e25-4070-b5f2-f65f7940b1e5 · outbound

This paper cites Deep subdomain adaptation network for image classification.

Mutual Regression Distance Deep subdomain adaptation network for image classification

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.555376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.957050Z digest=sha256:366dc71220a8110578cf61d84cb5ea7ff99a6a189eb970731e9574d2ffe47e29

Observation ff7c39e8-7bce-434c-95ce-75f36c52fc0b · outbound

This paper cites Deep transfer learning with joint adaptation networks.

Mutual Regression Distance Deep transfer learning with joint adaptation networks

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.963730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.963730Z digest=sha256:412f5916fb992f7bbacf9b4ad2b4a1549b49e2466ee06b75a8aa3de41e05674a

Observation 48ad6fc2-f8f1-43e0-88c6-deab1ad36fa9 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Mutual Regression Distance Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.970945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.970945Z digest=sha256:d1e6c52199145281c2b47d2b0a8fdc04cbb05ce0f77f1345da98af262c868a11

Observation c833b421-0a10-49e6-bb24-cb97cca3d5bd · outbound

This paper cites Pytorch lightning.

Mutual Regression Distance Pytorch lightning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.977337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.977337Z digest=sha256:000863dc937fba6afccc2c06cc924aeaabdc3e99687f797896a94ec6077d22bb

Observation ac27c210-ba6e-4145-ab46-c7a1cd7edb12 · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection.

Mutual Regression Distance Adaptive estimation of a quadratic functional by model selection

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:08:49.476562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T19:08:48.982841Z digest=sha256:272001b8849e054fd1692f54302a3e46ec1c63ba7ff4ab637222d9d6d0d32ff6

Observation 031f0faa-a438-4952-b737-b13736383f0f · outbound

This paper cites write newline.

Mutual Regression Distance write newline

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.989516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.989516Z digest=sha256:762c4343932169a77453b2ae3c9e95c08729d478f4026d9e2cf5393f8e4ea8d5

Observation b871471c-3415-43fc-8fe4-3f6cc695408a · outbound

This paper cites @esa (Ref.

Mutual Regression Distance @esa (Ref

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:48.997232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:48.997232Z digest=sha256:b73de844636e0f32afb1feae3dc6ddc530a29d092fb7aeeb8a8d17b2aec54300

Observation 78af9b5e-3943-4aa7-bf6d-d98ddc97d17f · outbound

This paper cites an unresolved cited work.

Mutual Regression Distance Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:49.004270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:49.004270Z digest=sha256:f419ca34795d8b216edbb0cfacd36287ed0cf96c83f95b70f79c15c92bd44787

Observation a10c0142-9e1a-4a42-928b-d102d44e55d8 · outbound

This paper cites Optimal Transport Graph Neural Networks.

Mutual Regression Distance Optimal Transport Graph Neural Networks

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:49.011227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:08:49.011227Z digest=sha256:6e6e668cb3af39083b6f55df0b0e52dfa42c993fa25a61329d3a289a102c66fd

Pith citing papers

No inbound Pith citation observations are available.