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Paper Citation Record · LEDGER

Coreset selection for the Sinkhorn divergence and generic smooth divergences

As of 21 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2504.20194.

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

pith.paper-citation-record.v1
2504.20194 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:47:18.717477Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T11:30:21.380276Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T11:31:29.342742Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact6
  • verified fuzzy32
  • unresolved21
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a94096d7-5173-43cb-8593-830b0307e3e6 · outbound

This paper cites Massively scalable Sinkhorn distances via the Nystr\"om method.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Massively scalable Sinkhorn distances via the Nystr\"om method

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:47:19.041413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.515100Z digest=sha256:5fa02e37278fc066ce8b9e560bf6ba903936481bb258526e476fc40d2d3bbceb

Observation 2e958576-0fa6-4292-9550-8e06258cc566 · outbound

This paper cites On the equivalence between kernel quadrature rules and random feature expansions, 2015.

Coreset selection for the Sinkhorn divergence and generic smooth divergences On the equivalence between kernel quadrature rules and random feature expansions, 2015

Reference 2

Resolution
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raw_fallback, observed 2026-08-16T05:47:19.449090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.520287Z digest=sha256:42707c87ac32b01f2176a4ee37ae94e4e2ba1df39e74ca0c2647c552f86ef196

Observation 4571e755-1e01-40a1-a75c-f5884fff536d · outbound

This paper cites Reproducing kernel Hilbert spaces in probability and statistics.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Reproducing kernel Hilbert spaces in probability and statistics

Reference 3

Resolution
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no resolver link, observed 2026-08-16T05:47:18.523878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.523878Z digest=sha256:b4512a5f51d000ebf4a0b77cb067391f0af297ba2e6146de3e65f6ff98f99eaa

Observation f2820158-e47a-4501-84e0-6c1b7e4de41a · outbound

This paper cites Data-driven regularization of wasserstein barycenters with an application to multivariate density registration, 2019.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Data-driven regularization of wasserstein barycenters with an application to multivariate density registration, 2019

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.431550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.527669Z digest=sha256:c99a8ecedee4895b7047a5624f9d64fa59b0bedea4b54c1fd767c611a41b44a7

Observation 757d2014-1e4c-40ba-8344-671c767b018d · outbound

This paper cites Learning probability measures with respect to optimal transport metrics.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Learning probability measures with respect to optimal transport metrics

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.419461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.531945Z digest=sha256:861dc3ffa1e20dbb0b6b3fe512bd663f1f2df5281ea95832d2ecbdc0a34356b0

Observation 24e10cf0-359c-42bf-bd0f-ee07fd8b0bdf · outbound

This paper cites Low-rank thinning, 2025.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Low-rank thinning, 2025

Reference 6

Resolution
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no resolver link, observed 2026-08-16T05:47:18.535120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.535120Z digest=sha256:daeadce7f3ea0310392153204fed0c2378976e673c8229b65730cea5d18ae205

Observation d03daf00-5a5c-454d-95d8-3a98040212a2 · outbound

This paper cites Randomly pivoted cholesky: Practical approximation of a kernel matrix with few entry evaluations.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Randomly pivoted cholesky: Practical approximation of a kernel matrix with few entry evaluations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.409550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.539614Z digest=sha256:5ffb9bf81388ad2d55d8a0bbce987a122fa4496ddd99b517add32c0b3021b57f

Observation 1f425e3d-1b56-48c6-8e40-3f3a9c82bd2c · outbound

This paper cites Unified framework for coreset selection and dataset distillation by distribution matching.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Unified framework for coreset selection and dataset distillation by distribution matching

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.399188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.543416Z digest=sha256:50bb6bfba324dbfeb9331e18293aa5b09dd6e86a5989f094da646435247ebd8b

Observation 3d0f7c0d-5381-4307-a6bd-884e756fbd32 · outbound

This paper cites Super-Samples from Kernel Herding.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Super-Samples from Kernel Herding

Reference 9

Resolution
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no resolver link, observed 2026-08-16T05:47:18.546893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.546893Z digest=sha256:70a3b31b1f04384c99bd5c790aff4b62a5163cec6d40a8728368fce466e2a866

Observation 0e2a6ebb-11c6-4163-b265-35bcbbaceb4c · outbound

This paper cites Wasserstein Measure Coresets.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Wasserstein Measure Coresets

Reference 10

Resolution
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no resolver link, observed 2026-08-16T05:47:18.551346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.551346Z digest=sha256:02aed0625d2cea71c0b7007df422bfa56ae90904ff66d25d4a80f3745d0f0b3f

Observation 5cce7798-e075-4026-ad85-b06072f03f11 · outbound

This paper cites I-divergence geometry of probability distributions and minimization problems.

Coreset selection for the Sinkhorn divergence and generic smooth divergences I-divergence geometry of probability distributions and minimization problems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.388591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.555051Z digest=sha256:888cf7afa3d0453901ef2a7634f08fa3726c29831c6cc481000d3cb19baa102b

Observation 672af069-75ed-4061-97bc-7d42c131df52 · outbound

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

Coreset selection for the Sinkhorn divergence and generic smooth divergences Sinkhorn distances: Lightspeed computation of optimal transport

Reference 12

Resolution
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no resolver link, observed 2026-08-16T05:47:18.558226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.558226Z digest=sha256:c5d996b620b5b2cf18c42476cb16280020b4a31f0f2b1d46a3ed45646a08cc24

Observation 360e75c1-88ca-41fa-a605-6819b0cfbbc3 · outbound

This paper cites Nonlinear functional analysis.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Nonlinear functional analysis

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.369544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.561047Z digest=sha256:3af06a17ef658550e7b5f8500f61af528359a03314423fe00d630ebc8331e222

Observation 9a899cc1-00c0-49ef-9e77-d33146ffba96 · outbound

This paper cites A Tight Analysis of Hutchinson's Diagonal Estimator.

Coreset selection for the Sinkhorn divergence and generic smooth divergences A Tight Analysis of Hutchinson's Diagonal Estimator

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:47:18.953536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.563928Z digest=sha256:06801848feea7c016c807f367dd1ccfe6bec90f9d3ac0e4cb8248483778c22c3

Observation 8e5d1169-5902-4f39-9abe-85033128587e · outbound

This paper cites Treatise on Analysis: Volume 1, volume 1.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Treatise on Analysis: Volume 1, volume 1

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.359594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.567565Z digest=sha256:69977d487d5092a497f6991f18c88ff2e574b0ad9a26fb5b201b25cc43fa3fbc

Observation 3ff901cc-d1ab-4dbf-9535-a02b1d55a7d3 · outbound

This paper cites Kernel thinning, 2023.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Kernel thinning, 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.349146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.570519Z digest=sha256:c888e0dd7504a61ebf768f7ac511b5b3f2db133524cf87aad470cb305e953160

Observation cdf7f5f9-d779-4351-a393-5b2be5e53ad2 · outbound

This paper cites Generalized Kernel Thinning.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Generalized Kernel Thinning

Reference 17

Resolution
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no resolver link, observed 2026-08-16T05:47:18.573957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.573957Z digest=sha256:881c275d538863098f44f214694723274c1c3838f30778f64276b45e139ea730

Observation 0401179d-43e1-4d44-9ef0-6e5d743633a7 · outbound

This paper cites Hadamard Differentiation, pages 16--24.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Hadamard Differentiation, pages 16--24

Reference 18

Resolution
verified exact
doi, observed 2026-08-16T05:47:18.755547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.577510Z digest=sha256:4bd01e934f9b23835d6f46d4ce9c5736614af573a92d43c1d14571b2c902cdc8

Observation d56836f6-97df-4e7d-a0ff-2d303e9f5662 · outbound

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

Coreset selection for the Sinkhorn divergence and generic smooth divergences Interpolating between optimal transport and mmd using sinkhorn divergences

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.337673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.581178Z digest=sha256:1139deffb6efb4fbae7cbf36b8100b2988f68985a07b8b0a530c3d080ebf3dca

Observation a6846494-385d-40c7-9ab9-0a848d1ae9fe · outbound

This paper cites Real analysis: modern techniques and their applications.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Real analysis: modern techniques and their applications

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.584087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.584087Z digest=sha256:f1f67ea9bfb954b4771cf852d4b34812f9e1590bbe557921dff7a4039a5cc9fc

Observation ba1991ad-28c8-4799-a1a6-018c2c54d543 · outbound

This paper cites Large sample analysis of the median heuristic.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Large sample analysis of the median heuristic

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.587337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.587337Z digest=sha256:be79eabedaa86a716ae24ae340afa84f1a210f74b1cd8a3e7b0febe2ab1a3312

Observation 89931ac2-d9a5-4682-86cd-e4b4db6ed8b0 · outbound

This paper cites Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence

Reference 22

Resolution
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no resolver link, observed 2026-08-16T05:47:18.591146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.591146Z digest=sha256:d35e8725c2a345ef2e327b213eddad3e322c30fdb8c250d5e803f7af13af0d24

Observation 23d4cd45-1eb5-4be6-b7b9-35dedcdca898 · outbound

This paper cites Supervised Kernel Thinning.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Supervised Kernel Thinning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:47:18.911541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.594163Z digest=sha256:5b5a9c8d2b53fb40e7e3dd77793fff2faa88d219a5663b2979ba8f32e5eb92d5

Observation 08e46c0c-d98f-45e6-9696-9326ff55b4a9 · outbound

This paper cites Weak limits of entropy regularized optimal transport; potentials, plans and divergences.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Weak limits of entropy regularized optimal transport; potentials, plans and divergences

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.320957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.598025Z digest=sha256:fc85f6b201085088dde6a4a30687551ac1217630e99f6408970f5b1711654757

Observation 9aa14abd-bb73-456a-b8d8-9b0835873cb8 · outbound

This paper cites Probabilities on algebraic structures.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Probabilities on algebraic structures

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.309410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.600900Z digest=sha256:c9e3f744d466c9e2322b5bdb6391ee5f710dd5e41f9619233ef3c6527a2df0d4

Observation 803e8d20-f27a-4044-999b-0596fef3d45d · outbound

This paper cites Rasch, Bernhard Scholkopf, and Alexander J.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Rasch, Bernhard Scholkopf, and Alexander J

Reference 26

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raw_fallback, observed 2026-08-16T05:47:19.298871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.603740Z digest=sha256:6d7d56ce385a6bff7f275a0f86da12dfe71b713396107078f72ae2f95e164472

Observation e42a8a58-02ba-4a2c-ba3c-0587ca876a27 · outbound

This paper cites Lectures on functional calculus.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Lectures on functional calculus

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.287461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.607351Z digest=sha256:ec66d921f6dc0b0bdfc16b741dbf77b953bbf6e411284d87741be8964e995736

Observation 74c46a83-5e16-453b-a1e7-021e04872b6a · outbound

This paper cites Asymptotics of Discrete Schr\"odinger Bridges via Chaos Decomposition.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Asymptotics of Discrete Schr\"odinger Bridges via Chaos Decomposition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.611647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.611647Z digest=sha256:9ad24ac783756d33ea0044cddfa8a8f368976673901b1b10d058378bcd53141e

Observation 87494df6-d714-4add-b338-5c73fac75e7f · outbound

This paper cites Positively weighted kernel quadrature via subsampling.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Positively weighted kernel quadrature via subsampling

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.276923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.614863Z digest=sha256:9c9492878c99dc5edf0bae7e60bd254f89984d5d2e56dd9fde1772f2a681bb48

Observation 44700ff6-7bdf-4aca-aa78-eb92823ff059 · outbound

This paper cites Sampling-based nystr\"om approximation and kernel quadrature, 2023.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Sampling-based nystr\"om approximation and kernel quadrature, 2023

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.266202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.618765Z digest=sha256:55d682b93f7a923025631c9542ec1868e4e456b7226f607908ba384faf219455

Observation 2f253951-c9dd-4337-a2ad-79c6d21c7936 · outbound

This paper cites Matrix analysis.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Matrix analysis

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.622045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.622045Z digest=sha256:fe253a574ba0d9b9257ed716b0ca176b670c3f504dfe5051cc891b60c258f705

Observation a85e17c0-8a75-4724-9373-40de5853fbb6 · outbound

This paper cites Quasi-monte carlo sampling to improve the efficiency of monte carlo em.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Quasi-monte carlo sampling to improve the efficiency of monte carlo em

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.247996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.625050Z digest=sha256:512bb6fde96b54762e68be92189080bb181c38643364b0b5f5d6d655a36b6f86

Observation cdef4f9e-9287-4add-bd09-ee9e1206ad73 · outbound

This paper cites Perturbation theory for linear operators, volume 132.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Perturbation theory for linear operators, volume 132

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.237391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.628636Z digest=sha256:5d68d8e2757b2c433176e0ba42662279ad947670996d33a144eea4839325e01e

Observation 29c181cb-0490-486b-a3f2-0a0df0c69a35 · outbound

This paper cites Debiased Distribution Compression.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Debiased Distribution Compression

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:47:18.885367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.632514Z digest=sha256:ea98c2aa801d800fe9e370a1fea2b2dae15e1aa60663644a4a5cce315f7c8ed5

Observation 302271a7-a921-4eb7-8f8f-8f7182c9a6d2 · outbound

This paper cites Litterer and T.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Litterer and T

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.635847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.635847Z digest=sha256:5d1f7c4b33f78b890631ae125ce6e86c8a8c8e40b67eefbb49eada38ea8e2967

Observation eb5c0dcc-6664-4f8a-82fe-0e3e34f637e7 · outbound

This paper cites Simplifying debiased inference via automatic differentiation and probabilistic programming.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Simplifying debiased inference via automatic differentiation and probabilistic programming

Reference 36

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unresolved
no resolver link, observed 2026-08-16T05:47:18.640317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.640317Z digest=sha256:736cd489b4c67abd8408b50beb931c606904f2f2aabc3d22ee9d64f44e6c6b8a

Observation 004829d9-ad30-4819-be22-c233905328e6 · outbound

This paper cites Diving into the shallows: a computational perspective on large-scale shallow learning.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Diving into the shallows: a computational perspective on large-scale shallow learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.643746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.643746Z digest=sha256:e89e4a6e134db9ff5cf5574d8c52554c3df9604548e066a1ffb565956a1586fc

Observation 9f32ee11-c885-4959-b82a-bab23521361d · outbound

This paper cites Exact lower and upper bounds on the incomplete gamma function.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Exact lower and upper bounds on the incomplete gamma function

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:47:18.796902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.647224Z digest=sha256:12414cbba99fb3554811513ff537e4b83c2f277af11471cb502afbd7061c2346

Observation 357b69f6-f7c1-45cb-b076-d65a6dd5d308 · outbound

This paper cites Quantization and the method of k-means.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Quantization and the method of k-means

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.222189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.651100Z digest=sha256:4cf8c4a9d53b27fe33abec69a15ddd4be2d9c03dd9811a58b2e932b8fd8855da

Observation a2586b6a-316f-48a0-8484-1f120babea99 · outbound

This paper cites On wasserstein two sample testing and related families of nonparametric tests, 2015.

Coreset selection for the Sinkhorn divergence and generic smooth divergences On wasserstein two sample testing and related families of nonparametric tests, 2015

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.212241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.654147Z digest=sha256:6fe4e7055db8d635cfc97adf02e958e7cad385db26b5ed5692948aa69974875b

Observation 30b35a2b-217e-483c-85b0-c6e571a89dcc · outbound

This paper cites Entropic optimal transport is maximum-likelihood deconvolution.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Entropic optimal transport is maximum-likelihood deconvolution

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.657636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.657636Z digest=sha256:8394d05148c419ba58a8515c7d9f7891355d5cc2f46c69989925c325abe980b0

Observation 458a96d2-52b8-4539-abc2-77d42747011b · outbound

This paper cites Delta method, infinite dimensional.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Delta method, infinite dimensional

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.194943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.660897Z digest=sha256:891066efb21d91416790ae41219e60eb001712aa2d887abf12cffac995c91726

Observation 9ed048bd-6ad8-443c-a342-9da2a78f9ff2 · outbound

This paper cites u schendorf and Wolfgang Thomsen. Note on the schr \.

Coreset selection for the Sinkhorn divergence and generic smooth divergences u schendorf and Wolfgang Thomsen. Note on the schr \

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.184689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.664160Z digest=sha256:f322762099e3de3840c415e3456003f4d1fb7bdeea9e951c842556956dc3f528

Observation d2fd5cc8-e42d-42d1-b2af-1d5e8c2dced1 · outbound

This paper cites Data Distillation: A Survey.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Data Distillation: A Survey

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.667631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.667631Z digest=sha256:5cf956849b67c8b22b6c0c35fc3f15ebd08dfdd352f7ecbb0648610037acf2a8

Observation 98479ace-053c-4eb4-aa8a-759bb4b0b264 · outbound

This paper cites Learning with kernels: support vector machines, regularization, optimization, and beyond.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Learning with kernels: support vector machines, regularization, optimization, and beyond

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.174761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.671377Z digest=sha256:3d9a37342a95c5a8a9d1abf902971576aacd02dde5a883078a2413e8a2b02fd2

Observation f1c5d38b-9482-4ec7-9f2c-6bd494806aa9 · outbound

This paper cites Serfling.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Serfling

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.164104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.674646Z digest=sha256:43157caa9e358b7364672dd070df8cc7b91d16c5f0001db707a87d8ba5e209b4

Observation daabebb5-e98d-43b3-a03b-35eed4c25cec · outbound

This paper cites Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Sch \"o lkopf, and Gert R.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Sch \"o lkopf, and Gert R

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.678535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.678535Z digest=sha256:7eea5e6d56445b33a85ce8ce839f8e4a57ceba31d3e3a5250a6534f7dc1398a9

Observation 3984bea9-9d65-472f-96e4-4ffc43dff130 · outbound

This paper cites K-means clustering: a half-century synthesis.

Coreset selection for the Sinkhorn divergence and generic smooth divergences K-means clustering: a half-century synthesis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.154035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.682398Z digest=sha256:15bdfaaa90ab8a5b06f9609219727753e0d3d12eb7eea5a65bb6f9603c7ab741

Observation 357d9ffc-9c0b-4914-90d7-b855529bc622 · outbound

This paper cites Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.143690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.685217Z digest=sha256:b7f4c3aae657eda2d480edc8a32cb43f228f6a82a818de1840212fe0f75b5b6e

Observation 887c2fd6-1ba1-4c7d-acc1-04a80ea8951c · outbound

This paper cites Caratheodory cubature measures.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Caratheodory cubature measures

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.132204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.688127Z digest=sha256:5042c32c0762ee1d9292bce0c23631920a2fb5c39851c08e34aadc894700312a

Observation a0d7451b-6014-422f-80cb-04d2cfb2ee1a · outbound

This paper cites Topological vector spaces distributions and kernels.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Topological vector spaces distributions and kernels

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.121273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.691209Z digest=sha256:6e3f5b40b6e4a529d985e427c7da78599722a8ba5b82422cfd35980e363243ec

Observation fe8012bc-fffd-4802-ad7e-312d047a475c · outbound

This paper cites Tropp, Alp Yurtsever, Madeleine Udell, and Volkan Cevher.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Tropp, Alp Yurtsever, Madeleine Udell, and Volkan Cevher

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.111297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.694719Z digest=sha256:a25dff1d5e2f14446934cf6f901b7870fee96dfa2f85ae859681dad301c64a25

Observation 72cc8d3a-1ac1-4bd1-b7a5-766511395550 · outbound

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

Coreset selection for the Sinkhorn divergence and generic smooth divergences In Weak Convergence and Empirical Processes: With Applications to Statistics

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.100470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.697782Z digest=sha256:ce7b2065224284210e3721db962e87ced1ee3f7b553e64524e6fddede17e5c52

Observation 58d0c85d-874b-4217-b860-89c86574dd84 · outbound

This paper cites A dimension-free computational upper-bound for smooth optimal transport estimation.

Coreset selection for the Sinkhorn divergence and generic smooth divergences A dimension-free computational upper-bound for smooth optimal transport estimation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.089665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.701198Z digest=sha256:51b30761ad52102a57456333da36317337d784da8b9e02486e9a4235b13028a0

Observation 4d2db305-97cf-4bf7-8ad2-87bbfa069aa0 · outbound

This paper cites Asymptotic statistics, volume 3.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Asymptotic statistics, volume 3

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.704138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.704138Z digest=sha256:cd0e0d209109006b0f91f0a1275ea17a7f21c71a2819d0a2c2b4ea8169594c25

Observation b9cfab3d-d9cf-4f05-9cb6-512ee194158e · outbound

This paper cites Sharp asymptotic and finite-sample rates of convergence of empirical measures in wasserstein distance.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Sharp asymptotic and finite-sample rates of convergence of empirical measures in wasserstein distance

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.707578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.707578Z digest=sha256:de39e7532da83cf4b6ff4c504fc7e7b7d674c73e26bd356b706a251e4f3c6141

Observation 8cb7c937-69a5-4bd4-9050-f11ff243f836 · outbound

This paper cites Fair Wasserstein Coresets.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Fair Wasserstein Coresets

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:18.711103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:47:18.711103Z digest=sha256:2d26cfa778d567adddbe1a62dac49f9e68ef3070fa2ba978b8bd3ef3f9caefb3

Observation 8a7466a5-4781-4ddb-951b-c6a05a566230 · outbound

This paper cites an unresolved cited work.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:47:19.065826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.714337Z digest=sha256:1a6d4612a5d370958a99564c4a2f2cd41f26e3474f1265e649b340333aaf5a2b

Observation 6fca4ae6-637a-45b9-a618-e0be49221d0d · outbound

This paper cites Wasserstein coreset via sinkhorn loss.

Coreset selection for the Sinkhorn divergence and generic smooth divergences Wasserstein coreset via sinkhorn loss

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:19.053888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.717477Z digest=sha256:71a7dab1b41ebebd7a15aa874aa143664ec73583639cec843e16c58609f0d4bf

Pith citing papers

Observation 95f45015-1c3e-43af-b83b-c1623bca2e1e · inbound

FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU cites this paper.

FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU Coreset selection for the Sinkhorn divergence and generic smooth divergences

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:31:29.346202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T11:30:21.380276Z digest=sha256:832e7f53bf3d03fe943efed5b5d4e4c3b2a28c7aa13ccc71af1d9d28439c8e1d