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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:18:48.787372Z

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

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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 737645f7-943f-46ea-bc41-9f7dd903a055 · inbound

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration cites this paper.

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 16

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no resolver link, observed 2026-08-08T21:18:48.787372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:18:48.787372Z digest=sha256:faca5c5ad8ccac8ce5ef3d29b135e25fc840f72f98031a5ae3d691d3c9652b45

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

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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:fdd60d3f9e82de3edc0fc1292387ec430507f83610402b4fa594501b612d5e66

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

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

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source=pdf_text observed=2026-08-07T00:49:44.490044Z digest=sha256:7099dbaa83ec92273c87fc63c7a627e97deac9b1d9768ef9fa88588c83040ddf

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

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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=sha256:5a2bc9e87535d93100e679755fc0591279324cd131571b84981f7fcd23ece29e

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

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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:f456ad96f30624ab8b3f3bcfa0f8d451de0dcbd1b5e486223f90c8912c904f63

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:15:58.587798Z digest=sha256:79eee9d2e38882ebb72d845b09d08d13fb0714e463ae08ec4d6ad82f81d88d8f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:04:29.421000Z digest=sha256:a37f8ae7e38fbf82b734dcf0cab60aa796838b94f9683522bcb7cde423df4279

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T07:56:46.688712Z digest=sha256:315ad3fe17c5a4401c1ffea45a763e84e4c90c76ea4957e48d01964aea5a8dda

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T14:44:28.534003Z digest=sha256:da68ff3c138145c0153673bd3be060c91c4b5f910e5d5500c595f52eda2c0e24

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T08:13:14.386336Z digest=sha256:2cce58c2f68c5e14546ea5a6f2aa9527625f1855118661e0d53eb89403981030

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T08:36:41.387164Z digest=sha256:f7d39f19b2e86b9864f8acdbec8b0abec906d22887f81c8f82168027f7b0581f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-11T00:33:04.509520Z digest=sha256:b6944a9a5659cf0e5888f8bd318bde2de63341bfe5198bf11518d90e2e191584

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

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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

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

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Unavailable: canonical work link unavailable.

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