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Paper Citation Record · LEDGER

Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2410.04760.

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

pith.paper-citation-record.v1
2410.04760 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:18:48.953590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.480137Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ca354c6-8cdb-4f3d-82b6-9941090f8f73 · 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 Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 42

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no resolver link, observed 2026-08-08T21:18:48.953590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:18:48.953590Z digest=sha256:868bfadb1e275807babc547aa3e0f5a7afd415e372d5456868eaeda607778bd6

Observation 0859bbfd-4f79-483b-8db5-25f4346ae444 · inbound

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

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 170

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no resolver link, observed 2026-08-07T10:54:50.253257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:50.253257Z digest=sha256:d317ed2947512980f5bc12d258caafcc64936863c5161a722503fa26a2367558

Observation 057bcbcc-6bc7-4b6d-8652-c171eddc28cf · 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 Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 16

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no resolver link, observed 2026-08-07T04:51:16.626327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 965a4991-3b57-4885-ac3d-37eae8fd0758 · 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 Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 71

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unresolved
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:b99d2f18ac8a2247b44dbf221a8650edc1f47fd5fb4aa113e1e4065eedaae5fb

Observation 3e1b204b-011f-4d1c-b2ba-5fe0f566db50 · inbound

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

Faster Diffusion Models via Higher-Order Approximation Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 49

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unresolved
no resolver link, observed 2026-08-06T21:45:17.122179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:17.122179Z digest=sha256:b6cd997668ec5f059de7bbfbb6793abe5365743cbde9d9a29da7f5c301f9f9d7

Observation 230d51b5-a8af-4d55-828c-32e937cf612c · inbound

Analysis of Langevin midpoint methods using an anticipative Girsanov theorem cites this paper.

Analysis of Langevin midpoint methods using an anticipative Girsanov theorem Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 12

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unresolved
no resolver link, observed 2026-08-06T16:49:30.261633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:30.261633Z digest=sha256:7c4efc7a825657e59a4dc2a55e526b10083104eb495dcbd35ee905c445ecc626

Observation 01d0c389-277e-4ebe-9818-91b3c64a068b · inbound

Lipschitz-Guided Design of Interpolation Schedules in Generative Models cites this paper.

Lipschitz-Guided Design of Interpolation Schedules in Generative Models Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T21:54:22.853473Z

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=2026-05-21T21:53:15.115078Z digest=sha256:85b1b3bd0ba3716128ebb34e471e98cedbb9664b45c68ad28455211492c1441c

Observation dde522a2-879c-4a04-8bff-23bb7b4ddc02 · inbound

Deep Neural Networks Inspired by Differential Equations cites this paper.

Deep Neural Networks Inspired by Differential Equations Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 260

Resolution
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no resolver link, observed 2026-08-04T10:54:42.491492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:54:42.491492Z digest=sha256:4ed7a3a9a630f9562ea1231dea41c507dd0360fc5ac2cf7075cc38ad8163ff03

Observation 63dbf2f6-4835-497c-ad08-2a1102ebed82 · inbound

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule cites this paper.

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:42:45.277922Z

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 7d1d6b8a-0d20-4000-9800-070a049bb6cb · inbound

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach cites this paper.

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 87

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no resolver link, observed 2026-08-03T04:22:33.501474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:22:33.501474Z digest=sha256:804560ba47414c727e206b487241b88542a3111de9de5d81766f15df4013b3a8

Observation af47b4f1-c9d0-4d47-8eb1-22613966381f · inbound

Query Lower Bounds for Diffusion Sampling cites this paper.

Query Lower Bounds for Diffusion Sampling Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 20

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metadata mismatch
arxiv_id, observed 2026-05-11T11:16:03.223221Z

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=sha256:8302161a3d6a298445a70adc86536f79b5d67b6af5f26ac8848ffcc831e9d1da

Observation 5a268f76-c9dc-4abb-b08e-cc4769316429 · inbound

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

On the Robustness of Distribution Support under Diffusion Guidance Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 79

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verified exact
arxiv_id, observed 2026-05-11T03:30:57.377543Z

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=sha256:0e0fe6914b26130599df52f6a2c71abdaa1c86d38c1ca3e9c730562be99afafa

Observation a165dd10-765e-4a2a-ab21-f0792b453cc0 · inbound

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

On the Robustness of Distribution Support under Diffusion Guidance Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 79

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verified exact
arxiv_id, observed 2026-05-25T06:35:24.717006Z

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 6861bcf7-204d-463b-8fa1-df5f8d300ef0 · inbound

From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models cites this paper.

From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 11

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verified exact
arxiv_id, observed 2026-06-29T19:03:51.428834Z

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=2026-06-29T18:55:55.974028Z digest=sha256:508f41fc5db23e714ca3a178765f945451af43b4f94f585dee01b7b507952b5b

Observation 7b006d6a-b3ad-4af8-9299-fd1f460dcff0 · inbound

Colored Noise Diffusion Sampling cites this paper.

Colored Noise Diffusion Sampling Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.763899Z

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 6dec54f3-720b-4f47-b489-279f7f7d0bc6 · inbound

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices cites this paper.

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.481694Z

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=2026-06-26T05:56:29.406425Z digest=sha256:97a2df6247678f8f919465993579629100e4f93932ccacace82d293cfc785c26

Observation 690b4b69-88d7-440c-9adb-99b6ef70a166 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:18:43.060408Z

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 a8fcd14c-aff9-4134-b52e-616974131ccf · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T08:25:48.021715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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