Paper Citation Record · LEDGER

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.07534.

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

pith.paper-citation-record.v1
2506.07534 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:34.373921Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:24:58.416482Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:16:11.560912Z

Reference resolution

14 of 14 outbound references displayed

verified exact2
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 294e27cb-bca4-49b9-b8d3-d2952c1ed974 · outbound

This paper cites Wasserstein Flow Matching: Generative modeling over families of distributions.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Wasserstein Flow Matching: Generative modeling over families of distributions

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:41:34.431494Z

Source-reported events for the cited work

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

Observation d21dea98-af30-4dc9-a3fb-afde0c8bc3a6 · outbound

This paper cites we sample one augmentation among color jittering, cropping, cutout, scaling and a rotation for MNIST, and also add flipping for Fashion MNIST).

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows we sample one augmentation among color jittering, cropping, cutout, scaling and a rotation for MNIST, and also add flipping for Fashion MNIST)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:34.545709Z

Source-reported events for the cited work

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

Observation b0085545-c1ba-41ff-a87e-73fcf57bc587 · outbound

This paper cites Dataset Distillation.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Dataset Distillation

Reference 338

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.366123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341ab516-1fa3-4940-a68b-6f389f9807e3 · outbound

This paper cites A Wasserstein-type metric for generic mixture models, including location-scatter and group invariant measures.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows A Wasserstein-type metric for generic mixture models, including location-scatter and group invariant measures

Reference 1725

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:41:34.444639Z

Source-reported events for the cited work

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

Observation f2e09e59-29e2-42c3-b503-71dfeb0a7cb8 · outbound

This paper cites Accelerating Langevin Sampling with Birth-death.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Accelerating Langevin Sampling with Birth-death

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.356928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982bb88d-7e0b-49bc-881a-85bd63043750 · outbound

This paper cites 7) Lee, J.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows 7) Lee, J

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:34.564037Z

Source-reported events for the cited work

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

Observation 0253b470-2585-4c67-bf48-f9c938acd567 · outbound

This paper cites 1) Hertrich, J., Gr¨af, M., Beinert, R., and Steidl, G.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows 1) Hertrich, J., Gr¨af, M., Beinert, R., and Steidl, G

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:34.572584Z

Source-reported events for the cited work

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

Observation 389a7ac2-50c1-446a-b269-4a391acbb571 · outbound

This paper cites Wasserstein Diffusion on Multidimensional Spaces.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Wasserstein Diffusion on Multidimensional Spaces

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.362942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86775f69-32e2-436f-9e4d-10ec69e72d98 · outbound

This paper cites Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.341570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c9ccfc3-8edd-4ec3-a96e-0a7694cce144 · outbound

This paper cites Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.359972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b582447a-75c4-4677-9259-a906aebf4409 · outbound

This paper cites differential.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows differential

Reference 2021

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:41:34.554833Z

Source-reported events for the cited work

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

Observation 60aabb42-e811-4389-bc2c-a87597f6d5b3 · outbound

This paper cites The Gene Mover's Distance: Single-cell similarity via Optimal Transport.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows The Gene Mover's Distance: Single-cell similarity via Optimal Transport

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.331534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ee1ca6-0939-4692-bf25-e30f5f8ec4a6 · outbound

This paper cites 1) Chen, Y ., Georgiou, T.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows 1) Chen, Y ., Georgiou, T

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:34.338440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d7ac16-7091-48a3-bfb1-07878e9c7174 · outbound

This paper cites Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity.

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:41:34.528527Z

Source-reported events for the cited work

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

Pith citing papers

Observation bdfd761c-f56a-4045-b9f2-74b46a8cb800 · inbound

Totally convex functions, $L^2$-Optimal transport for laws of random measures, and solution to the Monge problem cites this paper.

Totally convex functions, $L^2$-Optimal transport for laws of random measures, and solution to the Monge problem Flowing Datasets with Wasserstein over Wasserstein Gradient Flows

Reference 299

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T12:24:59.032088Z

Source-reported events for the cited work

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