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Paper Citation Record · LEDGER

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2507.12385.

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

pith.paper-citation-record.v1
2507.12385 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:01:27.614746Z

measured 16 of 16 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:09:06.635775Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:17:41.251155Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad389282-18c5-4c45-ac7e-6250c0d613a9 · outbound

This paper cites Global well-posedness of master equa- tions for deterministic displacement convex potential mean field games.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Global well-posedness of master equa- tions for deterministic displacement convex potential mean field games

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T17:01:28.560292Z

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.

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Observation 5366c8c0-ac8e-473b-a483-564c826b9624 · outbound

This paper cites Weighted ultrafast diffusion equations: from well-posedness to long-time behaviour.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Weighted ultrafast diffusion equations: from well-posedness to long-time behaviour

Reference 4

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no resolver link, observed 2026-08-06T17:01:27.412106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:01:27.412106Z digest=sha256:9b309e3619a2f85d30551891541ed0a257a8716307448df93dc7eb2578484021

Observation ba5927e3-0dbc-4a33-bcbb-914ce98bef6e · outbound

This paper cites A gradient flow approach to quantization of measures.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions A gradient flow approach to quantization of measures

Reference 25

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raw_fallback, observed 2026-08-06T17:01:29.416909Z

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.

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Observation 02d2782e-a474-4a4b-ba49-b364d1e2a9de · outbound

This paper cites Improved Particle Approximation Error for Mean Field Neural Networks.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Improved Particle Approximation Error for Mean Field Neural Networks

Reference 27

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metadata mismatch
local_arxiv, observed 2026-08-06T17:01:27.747042Z

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.

source=pdf_text observed=2026-08-06T17:01:27.491918Z digest=sha256:8cdbe9e5477735d69ab3cb243b57b114f23e3021d63d2fdcec3f3f79c4ae0e07

Observation db0fc891-1619-4682-8b1a-a825a4514902 · outbound

This paper cites Some estimates of the transition density of a nondegenerate diffusion Markov process.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Some estimates of the transition density of a nondegenerate diffusion Markov process

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-06T17:01:28.299930Z

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.

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Observation d600f683-5adf-47ec-a510-4bb27c9b9985 · outbound

This paper cites Long-time behaviour and phase transitions for the McKean– Vlasov equation on the torus.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Long-time behaviour and phase transitions for the McKean– Vlasov equation on the torus

Reference 691

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verified fuzzy
raw_fallback, observed 2026-08-06T17:01:29.190347Z

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.

source=pdf_text observed=2026-08-06T17:01:26.907963Z digest=sha256:25f1762e98424ab4b6f6032e4508543d39fc0afdda10a1b9e54cf238aecc38c1

Observation 7b4f2bb5-6529-4b77-83c4-e0e938bfb075 · outbound

This paper cites Neural Wasser- stein Gradient Flows for Discrepancies with Riesz Kernels.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Neural Wasser- stein Gradient Flows for Discrepancies with Riesz Kernels

Reference 2005

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unresolved
no resolver link, observed 2026-08-06T17:01:26.785542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:01:26.785542Z digest=sha256:96f7bf193b9d097a1e34355c330fa57c6766bf796b72bfb61dfad0bf0ee5e00c

Observation e1c82d8c-f83f-43fc-a9af-0919db4a1d43 · outbound

This paper cites Quantita- tive uniform stability of the iterative proportional fitting procedure.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Quantita- tive uniform stability of the iterative proportional fitting procedure

Reference 2007

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verified fuzzy
raw_fallback, observed 2026-08-06T17:01:28.986955Z

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.

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Observation a7a51a50-a558-4141-9e99-1699b1b5cb36 · outbound

This paper cites Sharp explicit lower bounds of heat kernels.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Sharp explicit lower bounds of heat kernels

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:01:28.172139Z

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.

source=pdf_text observed=2026-08-06T17:01:27.614746Z digest=sha256:e3d99ab0ce144b1d973ab3c3f583820ea257e2e92c7bdcf0a00dbcf1929b3668

Observation 1dd58fba-6e69-4e17-97f3-5129927a14b9 · outbound

This paper cites Sharp uniform-in-time mean-field convergence for singular periodic Riesz flows.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Sharp uniform-in-time mean-field convergence for singular periodic Riesz flows

Reference 2020

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no resolver link, observed 2026-08-06T17:01:27.068523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:01:27.068523Z digest=sha256:19282f8c871229105f5a00dd0074163e121ae58a5c0c391ca79399f6210e3757

Observation 5342c23b-152e-421c-a4ad-1ab213c4526f · outbound

This paper cites Sample complexity of Sinkhorn divergences.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Sample complexity of Sinkhorn divergences

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:01:28.788011Z

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.

source=pdf_text observed=2026-08-06T17:01:27.206736Z digest=sha256:fb967a47f8884111dd0eda602566540ee54aad7fe35f0dbe9167bb92a25716da

Observation a384ee40-e8ef-4702-86aa-eac557752c19 · outbound

This paper cites Statistical optimal transport.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions Statistical optimal transport

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T17:01:26.976504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:01:26.976504Z digest=sha256:a220cc16f7b389e35766d2c494cc629048580f3c4d6a54a70806de0ccf515dd3

Observation f7048b63-f4a3-4c35-b494-a4af0899715c · outbound

This paper cites The Wasserstein gra- dient flow of the Fisher information and the quantum drift-diffusion equation.

Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions The Wasserstein gra- dient flow of the Fisher information and the quantum drift-diffusion equation

Reference 2801

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:01:28.409991Z

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.

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Pith citing papers

Observation 62a776e2-46ee-477e-a903-550e6c1dbb9b · inbound

Convergence Rates for Distribution Matching with Sliced Optimal Transport cites this paper.

Convergence Rates for Distribution Matching with Sliced Optimal Transport Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T01:09:06.635775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:09:06.635775Z digest=sha256:c8e1afcc2c755c3809c8d4a060e2def5f0c21a33ed8a5a3ed18ee1b2c7a5d732

Observation d0932170-9b8a-4f06-871a-58b086712796 · inbound

From Saddle Points Toward Global Minima: A Newton-Type Method on Wasserstein Space cites this paper.

From Saddle Points Toward Global Minima: A Newton-Type Method on Wasserstein Space Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions

Reference 17

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verified exact
arxiv_id, observed 2026-05-20T09:53:15.905387Z

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.

source=pdf_text observed=2026-05-20T09:51:19.291136Z digest=sha256:0c6390f7c3cc46d4a2040b6abe477cd173072cf3dc3ad496f800240688613a70

Observation d9237510-ca06-4272-ae52-7acbc7c0d77a · inbound

Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks cites this paper.

Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T06:17:41.252565Z

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.

source=pdf_text observed=2026-07-03T06:07:39.767757Z digest=sha256:ea954b10bb3ae48e9417603448a736695acad01729387f326398084fdfb51dd3