Pith. sign in

Paper Citation Record · LEDGER

Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2401.17958.

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

pith.paper-citation-record.v1
2401.17958 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:16.603286Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 10d2df44-a0b9-4c90-aef0-cb02d66fd29a · inbound

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds cites this paper.

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:16.603286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:16.603286Z digest=sha256:05f7fe5232200b42512fe397d9a7f5f23f14d3550c11becad1592a509c654290

Observation 93ad783a-46b9-421f-b4bb-1507bb0ff1fe · inbound

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models cites this paper.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:44.490044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:44.490044Z digest=sha256:2253541b9c8aa7daa5df0eec077d88072bd11005654b935b042abc6729fb15a5

Observation 6bc82e63-7991-4c25-b61a-f564db3e3878 · inbound

Faster Diffusion Models via Higher-Order Approximation cites this paper.

Faster Diffusion Models via Higher-Order Approximation Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:13.139363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:13.139363Z digest=sha256:5a9ffe4019cdf0da79d068f7adab94438505645157d28edebb35a48068fbc771

Observation 39290044-d28b-454d-b02f-e0b22c72b452 · inbound

Non-asymptotic convergence bound of conditional diffusion models cites this paper.

Non-asymptotic convergence bound of conditional diffusion models Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.430265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.430265Z digest=sha256:5e9604c7906d6abe0d6ae1836052edacb7de2c410df10fefc3533d4287ca0a36

Observation 1365b339-23d5-4d14-b05e-016b4edc391c · inbound

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions cites this paper.

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T17:45:09.200294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:45:09.200294Z digest=sha256:8827be607d42487b6fb8986456e31f83c672bdb31254465aaaa38f28093870bf

Observation 6bd15067-bd7e-4c08-b56b-f9b57f672a13 · inbound

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities cites this paper.

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:30:47.458951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:15:58.587798Z digest=sha256:9377e85063542274f3944fb0d805feb8992b233e35a576521326a387b5e35f95

Observation 71d29c07-7a8b-45e9-9a1d-1aa63daa1319 · inbound

Query Lower Bounds for Diffusion Sampling cites this paper.

Query Lower Bounds for Diffusion Sampling Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:16:03.100525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:04:29.421000Z digest=sha256:09334a881bf01cad2783d3c353c0a9267d24b4acf2592e59a04739d09be3e5e1

Observation 2bd0d3b4-3612-4b2b-95c7-2eaedd0ede36 · inbound

Noise Schedule Design for Diffusion Models: An Optimal Control Perspective cites this paper.

Noise Schedule Design for Diffusion Models: An Optimal Control Perspective Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:01:16.064584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T07:56:46.688712Z digest=sha256:e3ba93c3c39e43443232c362125cb8ff5efd58854a64430433c8e0aa61f92e38

Observation 514e046e-90b0-47e2-a006-74907e7edf76 · inbound

Smoothed Score Queries and the Complexity of Sampling cites this paper.

Smoothed Score Queries and the Complexity of Sampling Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:53:31.389080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T14:44:28.534003Z digest=sha256:01ddaf7a4985633c411f2b84dc8e0a0640213120680b258818e41e8f5b379c3b

Observation 0526437a-62b7-4abb-8501-264e2b62bbd2 · inbound

Structured drift design for denoising diffusion models cites this paper.

Structured drift design for denoising diffusion models Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:16:40.180874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T08:13:14.386336Z digest=sha256:964ef74e664046e601ab04030083bb4c365c7f1410cf1cf81fbdc14c34e73f5f

Observation fd92aa1a-f990-4744-b91c-17a678c3feae · inbound

Structured drift design for denoising diffusion models cites this paper.

Structured drift design for denoising diffusion models Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T15:16:29.520052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:16:29.520052Z digest=sha256:f5bca47a58daae6ce2b173c4548f165740110d8f0b17c9db1005f9b12a597f03

Observation fd4f6bab-59e7-4915-9fb2-e4eb049c8c15 · inbound

Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate cites this paper.

Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:39:45.710257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T08:36:41.387164Z digest=sha256:63bce2abb4cdf67f657d2a12b6b9a10038b415e554be468634271714e5fb3f3d

Observation dc147df0-673c-4c29-9dca-a7de1d449cf4 · inbound

Diffusion enabled Optimal Transport distances for graph matching cites this paper.

Diffusion enabled Optimal Transport distances for graph matching Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:37:42.543587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-11T00:33:04.509520Z digest=sha256:35950a187f4108bcb273ab745a7bfa8aadcebeb485386c7f6cbac9e719820393

Observation 1b6f01f1-498f-4657-9ec2-3e8bad30d75a · inbound

Diffusion Bootstrap for High-Dimensional Linear Models cites this paper.

Diffusion Bootstrap for High-Dimensional Linear Models Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T18:14:56.783241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:14:56.783241Z digest=sha256:68f5c55e8366624c448fd910ad9e9b25836b1d5302a5b39d1b6c935dc02aab90

Observation 82d5efca-4e64-4b00-a6a7-ebaa3694e6b0 · inbound

A Unified Kullback--Leibler Divergence Analysis of Generative Diffusion Models via Entropy Production Rate cites this paper.

A Unified Kullback--Leibler Divergence Analysis of Generative Diffusion Models via Entropy Production Rate Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T07:52:48.708531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:52:48.708531Z digest=sha256:553106a9319a7dfcb6c98b5879219f188bea595a93745c780458f3cf7de659a0