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Paper Citation Record · LEDGER

Coreset selection for the Sinkhorn divergence and generic smooth divergences

As of 20 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.515100Z digest=sha256:f6f5970d67fff39300357f9321a7bd576c7e20b55df175f2f352fab337660116

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

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.520287Z digest=sha256:b0045336b824cbbafcbbe0b44da66d91fcadc4f2246a7185ea100ac7dd03469a

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

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.527669Z digest=sha256:0c3364aa0bff953f06b782becbdb7011205fadc4e3617fabafd619a24507a9ca

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.531945Z digest=sha256:0965381bb9391e4e0f6418b43e9d3b20da0f06dd4fb99526de84bb5462fb84ca

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.539614Z digest=sha256:e3a36058981e95afdc5fbc6eb553b883449448f7581133dad61b81dc2d304e77

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.543416Z digest=sha256:efeaf28ca37ab91fdbba2aa1d69049136885da42bbe8f33ae575f7db12b6edf3

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
unresolved
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.555051Z digest=sha256:6899f469794d24817357d42ed5931752708cee0ff90483a01953a90f029dad22

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
unresolved
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.561047Z digest=sha256:f0446cee29dd98cddc07f9622fe0bfffec92bb6bb1123d855d6fdbd10924892e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.563928Z digest=sha256:b7ec6d31e2f94863f310f09163db54246d18527df84bca4ec28d7fb4e7376adb

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.567565Z digest=sha256:ecc6fc93fd039c63b1115c04500a5c01fbe920c042cdff90ffbd0dcb178a6a6f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.570519Z digest=sha256:7fe36e0c65896d8b5684cf0c8588366619661aa571a60c25dca06fd383224396

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.577510Z digest=sha256:feb1eeba23059f0e5b48533ccefdc2f9e2db2da14c5128405ab715e57c8f83d5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.581178Z digest=sha256:52e923cc7a0e71575cc5f89ca7bc47d263a09815ef2f22b86b3ac7e9ea375c8f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.594163Z digest=sha256:40d52e9a140006b25c37d63f98f409990a6023c8761de8bd80ead4f8245d66a7

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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.598025Z digest=sha256:7d0d6ffb67e6aca3d60e496aa7f078a47d1390f1863ce2e9bf0365dddd63f2e4

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.600900Z digest=sha256:a3988a6b832404001121005a8db499a9fba6a87630a9d64ae0256dcbbdfca24d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.603740Z digest=sha256:c9f5a460603435817b058184c403bfa95f061d7943dd2205b8b8af8e9a86d6e9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.607351Z digest=sha256:ba21ea5dd1d4cf58cfb551daa5242a990eefdebd04938921ad7eff4d6a24c7a8

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.614863Z digest=sha256:f64769919a6df57dfad6490bcb0be200e0a37668cf828d9f562eaa1e50fedd36

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.618765Z digest=sha256:b9cf16430ef9d9ad3c7a2788e91e50687c9bf72b1c8001efb9c14af67e572955

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.625050Z digest=sha256:9d6429abf39a34992a8659684d40a91121cd28e08ab44dec8342bd008612ecfa

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.628636Z digest=sha256:aa9df15a1b260d3a4717744283b7df4c24c5ead44d42e8a5866b471d4958c427

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.632514Z digest=sha256:c5242d5f629123430c96933641334a2182c5b8dedd20db2a55396a3e3ea9515e

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.647224Z digest=sha256:3d0dcbcc5622c42ae65708a789808691b0773d94f3e89928f1b6ec3d5245cb5b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.651100Z digest=sha256:c3e44fb4a56770c2644d44d73554bb27957e6e238e24c9265ccfa231257195d1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.654147Z digest=sha256:5be025a0426b0befafc215c34f281fcfd16d14813f9e540a9783c57a1e7a19f5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.660897Z digest=sha256:13372bfabaf07ad2389352737e7f1a7d29bfc9cdee9a62599996c9ff01e4c631

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.664160Z digest=sha256:9e737186638c48b9966f486716db5874b03d0602f664f27365694bb456493d3d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.671377Z digest=sha256:457b106ab6e419940792e2aa9a11b6c1a51da19a5f4e718396c10f4df500f87a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.674646Z digest=sha256:00f93e13fb50723a9dc839c7aaae0908b4b1569fbe093d62a84ed1ea67c2a2fb

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.682398Z digest=sha256:1a7c32c244804b57b5876bab418aae1218ce7e75bd1fbd36bec78541168c3fd9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.685217Z digest=sha256:b26e0c0387ca05fb81f00c2d5c4895dce388723f1bc06c98d471871dbeb1b89e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.688127Z digest=sha256:89c54850429451ba0e498fc9b4e5f7f58a1270ed822d51eea6eb599dc8037b57

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.691209Z digest=sha256:a0a79ff8af285f9facd2a77eff72a554e2c0cb86850339e1bc6886f4ca26f5ab

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.694719Z digest=sha256:b440c8b1f5e83e9275573eacb12e892a6ec4bf240d8f7df6d71a3007583f594e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.697782Z digest=sha256:f45e3a09abd91372f1d016fa9e9c28854f3478295fe29c1a3da5feed03b1a6f3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.701198Z digest=sha256:9b25a81298510603dc26726ac2ca43e52bc60ba7bc5897b1a24a0d4d083ff8f6

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.714337Z digest=sha256:8f45c202aae01cbd7a02809bbdae70ea6c2b19fdba8d9e3a3f698f8ef5fb86ce

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T05:47:18.717477Z digest=sha256:bbc96cada24224958cd9ca498d703a2abd3f2e0e0dd53f54a25ce45383ebf465

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T11:30:21.380276Z digest=sha256:08b919ef5a39c3b45737903613e9c414c92a4246dd2090dc95b265ec2175d9bd