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Paper Citation Record · LEDGER

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2412.19992.

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

pith.paper-citation-record.v1
2412.19992 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:46:44.998195Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:08:43.088643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:12:28.642339Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy3
  • unresolved33
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External citation measurements

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Outbound references

Observation 5cae70f3-5ca8-450d-ab77-5ddedc90716e · outbound

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

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 1

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Observation ec12ea30-14de-4894-8387-0444906d3f91 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Diffusion models beat gans on image synthesis,

Reference 2

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Observation 76aba628-f859-4077-8d0b-49f04cc0e007 · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Elucidating the design space of diffusion-based generative models,

Reference 3

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Observation 123a4c03-6ad4-4368-b709-e759e5413c5d · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Analyzing and improving the training dynamics of diffusion models,

Reference 4

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ca6bbcf2-1b76-4bca-b180-e5bec4484949 · outbound

This paper cites Real-esrgan: Training real- world blind super-resolution with pure synthetic data,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Real-esrgan: Training real- world blind super-resolution with pure synthetic data,

Reference 5

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Observation 4b2433d6-3958-495d-aed1-e4165eb71183 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Image-to-image translation with conditional adversarial networks,

Reference 6

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source=pdf_text observed=2026-08-10T23:46:44.870983Z digest=sha256:9c29ae94f2423732e64427d92b0931c8534da434ad028e85fd9a2f1d00adf5c5

Observation f7e1e6fd-f325-42d5-9d18-67cd394f6f57 · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 7

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source=pdf_text observed=2026-08-10T23:46:44.875163Z digest=sha256:38dfadabff8ce4275756950867709598203fbb13c668c4380764ea71993248e4

Observation 8cb5e370-67d8-4db0-a9a9-64a469a94b8f · outbound

This paper cites Denoising Diffusion Bridge Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Denoising Diffusion Bridge Models

Reference 8

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source=pdf_text observed=2026-08-10T23:46:44.879211Z digest=sha256:eb5b1dc9a0ec5ff5ff120411371d4a67d0208ec97257410da12d1f884e69289a

Observation 7f733cea-b7f9-41e6-876a-d9a0f31ffc87 · outbound

This paper cites Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Reference 9

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source=pdf_text observed=2026-08-10T23:46:44.883277Z digest=sha256:41f69b142af307ca1d17a104c909ca7014bfc692e841e6dc592b9ea40a963aa0

Observation 074b9fe6-8b2e-4e9b-af77-58b21f8b29dd · outbound

This paper cites Direct diffusion bridge using data consistency for inverse problems,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Direct diffusion bridge using data consistency for inverse problems,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bc65d431-4f72-4901-924a-14ab3291b981 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 11

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Observation 9a98781b-9d5e-47dd-8d68-76a6de4d0386 · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 12

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Observation dd9a5dd0-db11-4669-ab9a-c4d341077db5 · outbound

This paper cites an unresolved cited work.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Unresolved cited work

Reference 13

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Observation dc93f3f3-fae9-4c89-b052-f0a767ccd033 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 14

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Observation fe5eed30-13e3-423f-af3e-6c2e99688502 · outbound

This paper cites Denoising Diffusion Implicit Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Denoising Diffusion Implicit Models

Reference 15

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Observation 75dabd7b-b890-4a07-9089-9a8c834894a5 · outbound

This paper cites Denoising diffusion probabilistic models,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Denoising diffusion probabilistic models,

Reference 16

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source=pdf_text observed=2026-08-10T23:46:44.910208Z digest=sha256:4783937fe81739f227dc196381918e2dae080ac7e35a41517172bb0421e80e0f

Observation 502fe858-ad87-47ff-a827-bdfecf4de4b0 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 17

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Observation 8785209f-8a2a-42ce-80dd-7a26d1d587c1 · outbound

This paper cites Consistency models,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Consistency models,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e4ba8af4-eaf7-4249-ad34-d7c94ee20885 · outbound

This paper cites TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 19

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Observation 64f3ae5f-41b1-4a0a-a404-f4e8947077c4 · outbound

This paper cites Image super-resolution via iterative refinement,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Image super-resolution via iterative refinement,

Reference 20

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Observation 68366f4c-9cd2-4b98-a9f2-2d00442d18aa · outbound

This paper cites Palette: Image-to-image diffusion models,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Palette: Image-to-image diffusion models,

Reference 21

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Observation da91d053-8086-4f5d-81e1-8d7dfb872cb3 · outbound

This paper cites Consistency Diffusion Bridge Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Consistency Diffusion Bridge Models

Reference 22

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9b7561ee-e2de-4950-bb4a-c88fbbe7b942 · outbound

This paper cites Image Restoration with Mean-Reverting Stochastic Differential Equations.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Image Restoration with Mean-Reverting Stochastic Differential Equations

Reference 23

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Observation df617d9f-8a8c-456f-94ee-a4bcc43f1c38 · outbound

This paper cites Implicit Image-to-Image Schrodinger Bridge for Image Restoration.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Implicit Image-to-Image Schrodinger Bridge for Image Restoration

Reference 24

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d2a14783-c96b-46c6-9811-ec8b46ef8824 · outbound

This paper cites Diffusion Bridge Implicit Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Diffusion Bridge Implicit Models

Reference 25

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Observation 08142ea0-c35a-43dc-8caf-36896c0564fb · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Imagenet: A large-scale hierarchical image database,

Reference 26

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Observation f6a7199e-781c-446f-80bf-57a1971898a9 · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 27

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Observation 6f03f73d-c6a3-4288-951f-f49f9094df22 · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 28

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source=pdf_text observed=2026-08-10T23:46:44.958579Z digest=sha256:b7747a568a44aa0c34ec9870f556dad511521cec71566341163a37aacc7994dc

Observation cb06146a-a785-409b-b747-e0fe6b1e8227 · outbound

This paper cites Denoising diffusion restoration models,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Denoising diffusion restoration models,

Reference 29

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source=pdf_text observed=2026-08-10T23:46:44.962407Z digest=sha256:b5760bc31f67f8dbb46baf48cc79bb98e53f6c58fad3bf4f9bd3894607674c9d

Observation 584e2269-7ed5-4f37-b363-d5b2134cf3e8 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Pseudoinverse-guided diffusion models for inverse problems,

Reference 30

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source=pdf_text observed=2026-08-10T23:46:44.965979Z digest=sha256:27a6ffbbb66e1dc016e76a32f02826b8efb420780e98853892b02e341de08173

Observation be6133b9-d44d-4eb6-8b3d-4a20ab49367b · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 31

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source=pdf_text observed=2026-08-10T23:46:44.969478Z digest=sha256:0bb55e36fa792d1ec7e0e952b0911c48e780ee8b0b19c6247c9e0853c9c53e86

Observation 6b8ea56a-f348-4d8f-b8a6-f9b2b3ebb775 · outbound

This paper cites JPEG Artifact Correction using Denoising Diffusion Restoration Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models JPEG Artifact Correction using Denoising Diffusion Restoration Models

Reference 32

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local_arxiv, observed 2026-08-10T23:46:45.093918Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f9ccc1ff-71c9-4846-85e2-bb1df24331ac · outbound

This paper cites Dual Diffusion Implicit Bridges for Image-to-Image Translation.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Dual Diffusion Implicit Bridges for Image-to-Image Translation

Reference 33

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Observation 273db9eb-f202-4c50-9b58-d3211cf2da1b · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 34

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Observation 7be47ac7-85e3-4b18-959e-cb7ae6f10496 · outbound

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

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 35

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Observation a8569b00-a0cc-4d00-b9ea-50e9676d205c · outbound

This paper cites Deep residual learning for image recognition,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Deep residual learning for image recognition,

Reference 36

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source=pdf_text observed=2026-08-10T23:46:44.989657Z digest=sha256:8aca9195614b7f7a1000b51d9fe61b08883317d2e08956880330eed448dbb334

Observation 6efbe740-be39-426d-bb1e-cae6b662ccd2 · outbound

This paper cites A Note on the Inception Score.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models A Note on the Inception Score

Reference 37

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Unavailable: canonical work link unavailable.

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Observation b38ce99e-0032-4bd0-ba0d-a87929164af1 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models The unreasonable effectiveness of deep features as a perceptual metric,

Reference 38

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Observation 247a1a0d-c86f-4298-9746-bbb9878fb42f · outbound

This paper cites Consistency Models.

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Consistency Models

Reference 2023

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Pith citing papers

Observation da562a4b-b9dd-4039-98c2-1c720f48f7e7 · inbound

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges cites this paper.

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models

Reference 69

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arxiv_id, observed 2026-05-11T10:46:01.231394Z

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Observation 19004203-af7d-4359-bb00-6b93c1cece6f · inbound

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges cites this paper.

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models

Reference 69

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