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Paper Citation Record · LEDGER

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models

As of 9 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 3 inbound Pith citation observations for arXiv:2506.13061.

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

pith.paper-citation-record.v1
2506.13061 v3

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:51.898062Z

measured 92 of 92 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 2026-08-06T21:45:13.520562Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:35:24.683809Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b5bc8b7-2bfc-4f20-ac98-e18bf1bae0e0 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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no resolver link, observed 2026-08-07T00:49:42.902889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1007b8b9-fe18-48ae-81e7-986fa9acb8ee · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Building Normalizing Flows with Stochastic Interpolants

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:42.976564Z digest=sha256:d7f53f0b3590b1d23eebd07f784e3f788845695839678be1cfe31ea2906ac97d

Observation 2c46298c-6d55-4a35-af66-ed7d47514f84 · outbound

This paper cites Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 3

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source=pdf_text observed=2026-08-07T00:49:43.063830Z digest=sha256:8fdab5c4b15e5d712060eae4b88c8df7d3e5161951beed52c1d7d379aa108f95

Observation ffe76a54-398d-41bc-b037-8f1ff196e1dc · outbound

This paper cites Error Bounds for Flow Matching Methods.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Error Bounds for Flow Matching Methods

Reference 4

Resolution
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no resolver link, observed 2026-08-07T00:49:43.155804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.155804Z digest=sha256:ada53d94d5e940850428eabafac1a288272cadbf86c9713f8466b1dea75b0285

Observation 6c4c9867-a24b-4075-a72f-aa3998122b23 · outbound

This paper cites Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.229664Z digest=sha256:e553eaeae4bf48064e89be33145b643cc70ed7d77fbb042d654467856e4692e6

Observation e7cf1094-e1ae-4827-bca1-16e1f6d7f4b8 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.292980Z digest=sha256:108f313457c5cc0e83935001266391871b58fdd4a29044470554e56b771d75d8

Observation 575be1da-b947-4bac-b904-7949a4e9f0db · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.347286Z digest=sha256:cf9ae97173e99c0713f1ea6ef2959b8b0fc497879963e872a313190fcdbe3cd1

Observation 1cbbc76e-bb1f-4f57-80c1-074c89bf2920 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.436852Z digest=sha256:c4722b8ad19276be554a84a0de2b63f2372ea56a5ae453511d6e7b3331cd4a5d

Observation 29b29417-d8aa-4290-9752-4f15e6709917 · outbound

This paper cites Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach

Reference 9

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source=pdf_text observed=2026-08-07T00:49:43.506696Z digest=sha256:a87734b28e3f2cefbe4fa0f32d3056867face2d33576654250518a20eed42169

Observation f37839be-d3aa-40c7-a42f-351c84bb0bf7 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.572969Z digest=sha256:f275e589a088d89af535869d079d96f5441ca30a5722a0aae1a45214ac9afb90

Observation 0679b9ae-b081-4476-a886-2773af569b78 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.638453Z digest=sha256:16f84ed9ed0de8398abfdddfaebf9b6f9e799983dfaaeb1ac8b0d45e672d1d5f

Observation c0de5b7c-7686-4585-b1b2-eb82ee995d26 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.715485Z digest=sha256:bc6a65c49a44e0a655b2d21ac41a142978ca00d8dc499051bac49803ecc6dff7

Observation 0ec3ca26-b525-4a95-bfe0-5761ebd1f829 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.790525Z digest=sha256:0a35adfa22ae670400d4e9dc1b82d5f1c04d9f60e519cbdcd235ccb85e9f3181

Observation 9fa6e64b-89de-4055-9df7-838da2879a88 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.844894Z digest=sha256:c2be991d8fd3ea5aaa3577b041b7b95224713e81ae0a4f5d16b4ae50415abd91

Observation eabe9b95-06b2-4557-bf9f-f9518b7750c8 · outbound

This paper cites Sampling via Gradient Flows in the Space of Probability Measures.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Sampling via Gradient Flows in the Space of Probability Measures

Reference 15

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source=pdf_text observed=2026-08-07T00:49:43.893172Z digest=sha256:b52a151b98eff7cc285f28187e02521746a1e59906609d13a3d3807182b05339

Observation f4bea524-24cd-4225-b4d4-5f50284259a7 · outbound

This paper cites Cheng, J.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Cheng, J

Reference 16

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source=pdf_text observed=2026-08-07T00:49:43.970928Z digest=sha256:004e30ab02198f2dc1be3f14543f39f81a56f3563d5f6000ba6e6fb8de51b374

Observation a8d4fb7c-084d-4c23-8c30-721c90046fb2 · outbound

This paper cites Statistical optimal transport.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Statistical optimal transport

Reference 17

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source=pdf_text observed=2026-08-07T00:49:44.070988Z digest=sha256:5d29539d587f7282285dbe827d1de9ac1337f058c6a7d3484e222c09ec6de890

Observation 8c4f4b88-5c40-45d8-a932-3082a5a525b7 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-07T00:49:44.144081Z digest=sha256:355127d904089e0e9c8b03c6eddd48c5b69fe80b50add1405a0c31d0fac8ae6b

Observation b40d33d1-eec1-42b2-92c3-5db6d2c5c5a7 · outbound

This paper cites De Bortoli, J.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models De Bortoli, J

Reference 19

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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=2026-08-07T00:49:44.189159Z digest=sha256:b67744a246e4a86b27758c2678b234101a0f0475427c9961b528a157c9d5ee94

Observation 520dc36e-f32f-4ca2-aae9-591066079a35 · outbound

This paper cites Jukebox: A Generative Model for Music.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Jukebox: A Generative Model for Music

Reference 20

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source=pdf_text observed=2026-08-07T00:49:44.265542Z digest=sha256:2a533502a0cd2e4a07a120f855aef66d21d03a92e6fe4af8b955aaa0bada7d90

Observation ce4d9e12-7e83-48c3-8f0c-42855e9c65e9 · outbound

This paper cites Dhariwal and A.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Dhariwal and A

Reference 21

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source=pdf_text observed=2026-08-07T00:49:44.338155Z digest=sha256:1a437a193990ba4e17f28d22493a70a1fc5c82b950bdf18044e9c1ecfd42956d

Observation 1fe41f11-ef5c-43d9-8b6f-390746e5e487 · outbound

This paper cites Esser, S.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Esser, S

Reference 22

Resolution
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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 93ad783a-46b9-421f-b4bb-1507bb0ff1fe · outbound

This paper cites Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances.

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

Observation 601386e2-a019-4eda-86fd-76881dbcfc08 · outbound

This paper cites Goodfellow, J.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Goodfellow, J

Reference 24

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Observation 3650683c-a3d1-4963-90a8-b08bed7455e1 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-07T00:49:44.640983Z digest=sha256:de60a290f64869ae40f7bc29f3a34e4f4c10b3bc8ca65fb2f4ae42c7e3b292b0

Observation 79a31a3d-9a4d-407d-a775-c417fbcfb08c · outbound

This paper cites Hochbruck and A.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Hochbruck and A

Reference 26

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

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Observation 55bb387a-c88a-44bc-b3b1-fe1afade901e · outbound

This paper cites Hochbruck and A.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Hochbruck and A

Reference 27

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source=pdf_text observed=2026-08-07T00:49:44.800077Z digest=sha256:c29beffd742379cb24fe36aedac7c8942bd9790342d5d23b4955615f81146fad

Observation d728a393-1f94-4ff4-a2c1-6ac7757bd6f5 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 28

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

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Observation 9dc2259d-0ab0-4aec-9d34-4393dc2ce7d6 · outbound

This paper cites Huang, Y.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Huang, Y

Reference 29

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source=pdf_text observed=2026-08-07T00:49:44.969545Z digest=sha256:a44ff1150f0ff5161bf1b53447e8ad9d7acad013fc0d6d454f814849aa334e77

Observation 97a8b901-476a-49ba-9cef-e2ce9c4131b7 · outbound

This paper cites Hyv¨ arinen and P.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Hyv¨ arinen and P

Reference 30

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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 fff7422b-bcf0-4c90-a636-f96a220182ce · outbound

This paper cites Jordan, D.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Jordan, D

Reference 31

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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 5a909df0-de0b-485e-ab4a-2ffa604f3881 · outbound

This paper cites Karras, M.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Karras, M

Reference 32

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

source=pdf_text observed=2026-08-07T00:49:45.290699Z digest=sha256:bdfb290adf69f4a9df0b2307c26af535f3c91ae1b70f1aaec792e23d3182a0d8

Observation 45db5e5f-cbbf-42dc-a22a-bbd7a20466af · outbound

This paper cites Auto-Encoding Variational Bayes.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Auto-Encoding Variational Bayes

Reference 33

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source=pdf_text observed=2026-08-07T00:49:45.382034Z digest=sha256:521c3542161bcdc383220730a793a9525efc8e4a3821cb47d7d5499c9637a819

Observation ecacee5c-7a89-4f02-8ca1-97131aa6a65e · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 34

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

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Observation df8e8e4c-1d64-4300-95dc-f486dfb6b8ad · outbound

This paper cites LeCun, L.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models LeCun, L

Reference 35

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source=pdf_text observed=2026-08-07T00:49:45.600388Z digest=sha256:61180d60c27f7e51c0116ec06f1ac2b8f4ea81cf33a48f20931aa94a3c05043c

Observation c0bbe17e-89d2-425a-839b-61c6486db801 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-07T00:49:56.787300Z

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=2026-08-07T00:49:45.739248Z digest=sha256:8ea243f1329228186f2946418f9c8572849f2158e3fa31ba0509203c0b37958e

Observation 1febb93b-f6d5-486e-ad37-ac01207392e6 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 37

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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=2026-08-07T00:49:45.848191Z digest=sha256:75c2b2ba3ad4a5a66fd6beca08cc0b532e45799e19c48b3bd4f52faa4d352b84

Observation c5e22f9b-0fa8-473c-812e-85ac7ccf0830 · outbound

This paper cites Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures

Reference 38

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source=pdf_text observed=2026-08-07T00:49:45.927684Z digest=sha256:7137395d96477cbf9ec005059c39eb7bbdaca3d95e590c3df9ffe045133c2a95

Observation e922d2f6-68f1-4750-90b5-59f819efd3c3 · outbound

This paper cites Accelerating Convergence of Score-Based Diffusion Models, Provably.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 39

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source=pdf_text observed=2026-08-07T00:49:46.052589Z digest=sha256:ec63219a825143011cb9588196394ae3c2685f3001f68ea50a3358ee1ac340fe

Observation 551f77a6-47eb-42ab-9063-69b3ec807a2b · outbound

This paper cites Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

Reference 40

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source=pdf_text observed=2026-08-07T00:49:46.175306Z digest=sha256:04f92a0e0e03218e3344e1a5a02e30e9004b66ed9d2957776723b5806a5f3669

Observation 5d8b914e-440f-4600-a5a8-041710c0c559 · outbound

This paper cites A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models

Reference 41

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source=pdf_text observed=2026-08-07T00:49:46.315800Z digest=sha256:b536a5a45cad044a1ab5c577eb117cff0ac1a2d03616a2a8e3e21af31cb97853

Observation 17dfb778-4a97-4e68-b384-57da52bfc4ac · outbound

This paper cites Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

Reference 42

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source=pdf_text observed=2026-08-07T00:49:46.459758Z digest=sha256:17531a661302f17ffb581e94f1240cd58fb9fedafa29abb794d00a7c270c48bb

Observation 78580727-5310-42b3-9e36-942600d3ab07 · outbound

This paper cites O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions

Reference 43

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source=pdf_text observed=2026-08-07T00:49:46.549157Z digest=sha256:c78a6642d424d79424f9a8aa26ac043a14674a93a6b8490a7a6a5d9eac72240c

Observation a3e0b550-6ef4-45f7-939e-72f7e2f9b50f · outbound

This paper cites Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers

Reference 44

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source=pdf_text observed=2026-08-07T00:49:46.650648Z digest=sha256:a2b7c1c055cc142d1fd060108022056c54708eed122e329502945f64f2d36a93

Observation 0c7d51b0-e8cd-46d6-be9a-f584225737d4 · outbound

This paper cites Low-dimensional adaptation of diffusion models: Convergence in total variation.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 45

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source=pdf_text observed=2026-08-07T00:49:46.760598Z digest=sha256:81c822b7b9ed3cb5231b984d8ac7f792285acb48b019e2dd9119c9e5085e02e0

Observation ac8f7a86-2e78-4e7a-a30c-863d74115a35 · outbound

This paper cites Flow Matching for Generative Modeling.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Flow Matching for Generative Modeling

Reference 46

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source=pdf_text observed=2026-08-07T00:49:46.878434Z digest=sha256:e3cf7e8803e5f8281a094c11dd54d9a16d4b2074acb621e0ba4859f7b05cb555

Observation 3329fa7b-e17b-4193-8609-c767e2d703ec · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 47

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source=pdf_text observed=2026-08-07T00:49:47.014799Z digest=sha256:ea1cb8e53fd006866aa3b78fa1f40d6fb7e5913dab8d122fe04d662ec9584c7c

Observation 87d82285-e444-4cca-8822-6b471eb7b6b3 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 48

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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=2026-08-07T00:49:47.137429Z digest=sha256:476104c35a11fb6f4a17c9fb1a47cc72235cd3bc328f5443ea9b33b1e6b15bd3

Observation b478a15d-b1eb-45f3-85d7-14b9aacbcc26 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 49

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source=pdf_text observed=2026-08-07T00:49:47.228022Z digest=sha256:daefdea217912a2cea5a33586e280bc04a51a6f88d2dde217880376f855332d5

Observation fab72097-4063-4aa5-a2db-573481101850 · outbound

This paper cites Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:49:47.376613Z digest=sha256:0fd95024c18f5fd9a9bc3d998e284974b347a0679ffea9589c88b3c4ef5ba52f

Observation 64124212-c3d7-402e-89e3-295e463ac4bf · outbound

This paper cites Papamakarios, E.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Papamakarios, E

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.324782Z

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=2026-08-07T00:49:47.444214Z digest=sha256:90e995fc84a7386d3b80ce7ca02c8067706c7a95eb309283c2c9e2b75e72eee3

Observation a00b798e-cd7b-441a-a41c-e2eeb9038a29 · outbound

This paper cites Popov, I.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Popov, I

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.206215Z

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=2026-08-07T00:49:47.521966Z digest=sha256:ad9b0bd328330aa1ac6ae1f06aa37df5b2e92b43479e748d3e214e2054112224

Observation fe8f6446-17d6-43c3-adba-584ca2afd4c8 · outbound

This paper cites Linear Convergence of Diffusion Models Under the Manifold Hypothesis.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Linear Convergence of Diffusion Models Under the Manifold Hypothesis

Reference 53

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no resolver link, observed 2026-08-07T00:49:47.594243Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:49:47.594243Z digest=sha256:aa9e2da29f5b44bcc2cdbeccc4fb0c75bc5777c6d8205e8dbc62f2e8f6121597

Observation 7bdacbf6-4fd3-4edc-b88d-1234c7be7fa1 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 54

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no resolver link, observed 2026-08-07T00:49:47.667256Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:49:47.667256Z digest=sha256:6d3f1790f4f85b1e1c0e984de63a49f571b4bcd6cfab8924fe118d4a93c93bbe

Observation 0c07699c-5052-4ab2-9c09-a25a1135a681 · outbound

This paper cites Rezende and S.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Rezende and S

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.058488Z

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=2026-08-07T00:49:47.732045Z digest=sha256:05d17b88f803d5e803f4bb338e78711c173b3aa0e6e7ebe140b1b84288aaa967

Observation 0eda1f45-2404-41e8-85e1-413ff3cb7795 · outbound

This paper cites Rombach, A.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Rombach, A

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.969787Z

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=2026-08-07T00:49:47.810732Z digest=sha256:08ede4cc5eb467380efbd8af4e6725195eb2705f3c747f1516521522247e8b54

Observation 940ea374-0252-4ec5-bc1b-eb8bdd3f067d · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 57

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source=pdf_text observed=2026-08-07T00:49:47.867390Z digest=sha256:9ebdf7e58c5033c5264703ad85a20c3bb5e0141e43e1929f60b65add6e261174

Observation 01744896-75ac-419a-a58b-d4862396d6f0 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 58

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unresolved
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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=2026-08-07T00:49:47.940191Z digest=sha256:5341c91e656512097bcc9d394c992b6bf57ddba5f9cbad4648a296623393df23

Observation b8d560f7-b081-4782-967a-907ded3fa0dd · outbound

This paper cites Sohl-Dickstein, E.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Sohl-Dickstein, E

Reference 59

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source=pdf_text observed=2026-08-07T00:49:48.016258Z digest=sha256:48027b42f30e02e91c28dd014873d44fea8ce15d9d305a006a69c79d3a4edb14

Observation dccb5b21-9c8a-4270-b847-8862f4f3f9e0 · outbound

This paper cites Denoising Diffusion Implicit Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Denoising Diffusion Implicit Models

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:49:48.153205Z digest=sha256:6bed76c3c3a0e29f96f3522b955588ddf3f4fc1d5bb5827ab48d611347179f0b

Observation a0d0d1b2-5782-4159-b89a-61b383280cc3 · outbound

This paper cites Song and S.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Song and S

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.722021Z

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=2026-08-07T00:49:48.241275Z digest=sha256:77d0662b3e41bda1f970378adc135cb9113930d53840b6d9e3e86a62ab5d12b9

Observation 9c8a1a09-5512-411f-8f0a-b00fd8ec3fca · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 62

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source=pdf_text observed=2026-08-07T00:49:48.337573Z digest=sha256:037156779a8caf03235c08b390b3ccfab87a91b13689a0e372bfa6de650d17b1

Observation 21eccdb0-88ea-4959-9544-6feffc4c6e90 · outbound

This paper cites Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

Reference 63

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source=pdf_text observed=2026-08-07T00:49:48.434176Z digest=sha256:229aac6aa0553ac97b6cdfb6c578559113aaffc55e1e58390a7b6ae75388616e

Observation 9e42d7e2-4dd0-4735-9206-b38c881c2f35 · outbound

This paper cites Tang and Y.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Tang and Y

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.555037Z

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=2026-08-07T00:49:48.517841Z digest=sha256:aaafb003ada3bd1a32f84f077525ac43d85a639f38c7ee457877cca934ee9e0f

Observation 1fe8c3c1-a4f0-42d0-92d9-398d43559cad · outbound

This paper cites Contractive Diffusion Probabilistic Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Contractive Diffusion Probabilistic Models

Reference 65

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:49:48.596654Z digest=sha256:bcab5b21c8b88aae160c2e23395c1e62f000ef4ee869fd0740a69f8ce8f9812e

Observation 839513da-9ba1-44f2-bd09-74c347dd74e1 · outbound

This paper cites Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial

Reference 66

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source=pdf_text observed=2026-08-07T00:49:48.650849Z digest=sha256:3bbd3e637da09a02d36c7b6ee09a614befbdcbf3f9dd8ef8cf87263a53f6465a

Observation b031504a-d6e4-44c0-809d-a061fd01d659 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 67

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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=2026-08-07T00:49:48.739410Z digest=sha256:bdf8324a6c0f719affe60e57292e8dde71799e151f7f766ef622de893d77b0b2

Observation cff19d50-0c0c-4e86-8f08-ee08904ca38f · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 68

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unresolved
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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=2026-08-07T00:49:48.846290Z digest=sha256:f8e7832fbfd344cb6213a87687fef342a030c86476213dbb480f0a73b2980f13

Observation 8c70c68e-9e52-4714-9f24-82d32af1a6f2 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 69

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:48.971369Z digest=sha256:e2e2b83404e7e1210ed08da6199c5af0a65b2e6f5e16273d863741da695b61e6

Observation 15ec320c-6e89-4069-8727-bb1e962be53d · outbound

This paper cites Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models

Reference 70

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no resolver link, observed 2026-08-07T00:49:49.123091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:49.123091Z digest=sha256:82b6d90042b98dc71b2fa21510844c475a5a245a1b647640009735c3431d144c

Observation 965a4991-3b57-4885-ac3d-37eae8fd0758 · outbound

This paper cites Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 71

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no resolver link, observed 2026-08-07T00:49:49.229674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:49.229674Z digest=sha256:c2421ba8f327adad086a668d10727176ed491c17837789a5406c634c38431b63

Observation 327413ab-b117-4561-a415-69a97b174dd5 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 72

Resolution
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no resolver link, observed 2026-08-07T00:49:49.270762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:49.270762Z digest=sha256:e8bb6fce99e01f4fb70f891c085231ccd073b22143b8da3321eedffc92b99d26

Observation 439d6922-5e2e-4467-abfe-1129a68d8577 · outbound

This paper cites Flow-based generative models as iterative algorithms in probability space.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Flow-based generative models as iterative algorithms in probability space

Reference 73

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no resolver link, observed 2026-08-07T00:49:49.371726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:49.371726Z digest=sha256:eab28dcadec488010efaf9eebe25e8aa629c660d639bcd43f64d844fc899f20f

Observation 0ccb9add-4c41-4d58-b32c-a8c0e49b1a70 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:55.047169Z

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=2026-08-07T00:49:49.551239Z digest=sha256:693e9f0f0bbecc05a63940ab9348ca0436b30dacc610cf79c7987075f0eb7fc8

Observation bc47c4f4-dc22-4a81-a40c-a6d9afca9940 · outbound

This paper cites Yakovlev and N.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Yakovlev and N

Reference 75

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no resolver link, observed 2026-08-07T00:49:49.688922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:49.688922Z digest=sha256:1cd1d23b0c621cf0c3087713099f8176e697e61e040b3305cc7b47f66fadedb9

Observation 90559595-4b8b-47cf-93f0-942fa8807cb4 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-07T00:49:49.863116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:49.863116Z digest=sha256:7bc3150131766139595fea04754038dd2ebef4c344d89cbc439ce11f5f2b8f6a

Observation c9c92870-02d2-427c-b332-b7d04d918260 · outbound

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

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:50.021297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:50.021297Z digest=sha256:0451bc4f9edc57c18e14c40ecb891f362390d1ddfd64885252b674535d8ff7e7

Observation ff62c8d9-5298-4c0d-86fd-4f145a81d6e9 · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Fast Sampling of Diffusion Models with Exponential Integrator

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:50.154387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93120b0a-1296-4810-a29d-97f2937d677c · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:54.922160Z

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=2026-08-07T00:49:50.310298Z digest=sha256:62b271a9a0317c92736c06b3e35bd8d9f1067d94ef7bb4ca2b72ab1efcf01712

Observation d934a8fb-337c-4f7e-b9d3-26b4690b07c7 · outbound

This paper cites Zhou and M.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Zhou and M

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:50.459295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:50.459295Z digest=sha256:a4d20736aeac5023f7a3f483ad2664bf22c054b3513159ebe8a66533eef4b1a9

Observation d36efd33-309b-44c8-95ae-3a4f01615d15 · outbound

This paper cites Also, det[∇(ϕ −1 h (x))] > 0 and det[ ∇( eϕ−1 h (x))] > 0 for any x ∈ Rd when |h| < H.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Also, det[∇(ϕ −1 h (x))] > 0 and det[ ∇( eϕ−1 h (x))] > 0 for any x ∈ Rd when |h| < H

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:54.795796Z

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 8f2add72-6b25-4ff7-afdf-bc6087f0c3d6 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:54.643635Z

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 107d6386-4058-4ea8-9ca4-352d0761f4ef · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:54.401260Z

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 bed8430f-2570-4e7e-b6f8-6d1dac211b75 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:54.183557Z

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 ce19e201-b591-42b8-b1d6-336f15cfbc4f · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:53.936335Z

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=2026-08-07T00:49:51.245147Z digest=sha256:f604a6d487dc4a75ba63b7d8fda4c7aa7260bfc3b2cdd6ac418bcffb5323798e

Observation 22a3fbc0-67f1-4dfd-979c-5833e3890466 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:53.601260Z

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 57aef711-da1d-416a-a9ce-6e145c2479e7 · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:53.341715Z

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 f683da3c-d61a-4764-b766-269c603f6dac · outbound

This paper cites an unresolved cited work.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:53.065133Z

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=2026-08-07T00:49:51.756492Z digest=sha256:e4c5e5528ef50f5cdd2088db59c4c5c877b7553373f1a0b7b5ad599f3159a012

Observation 595bfd0f-a42a-4376-8ec9-5a3615a8b305 · outbound

This paper cites We conclude that for v ∈ Dm, ∂hv is a linear combination of finite terms in Dm+1.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models We conclude that for v ∈ Dm, ∂hv is a linear combination of finite terms in Dm+1

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:52.824771Z

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=2026-08-07T00:49:51.898062Z digest=sha256:33c118547947de4e91b82cc688a716b5cab2abb5f4e99017af7be5beb49390f8

Pith citing papers

Observation d486462d-afd1-4f05-ac62-7255ee8d02c1 · inbound

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

Faster Diffusion Models via Higher-Order Approximation Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:13.520562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:13.520562Z digest=sha256:6a4f7e3e951d57449d43eb424a169bbfcc91013c76e853e5bdc73feb3c5c59f6

Observation d27d5735-8c4c-4912-a6c1-a5fe384f4eb2 · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:30:57.389180Z

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=2026-05-11T02:27:44.244764Z digest=sha256:176928de982aa480ccc8144f9b015951034cfeff064b4acf39ac35a7c20eab64

Observation b27a2414-e2b1-45cd-9f78-dc1ee16b0711 · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.687546Z

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=2026-05-25T06:34:46.801241Z digest=sha256:1e12e99b56128c5c33d51d6bbbffe3c82cc4ca68c77e31279ee1d954fa9ac065