Paper Citation Record · LEDGER

Optimizing Few-Step Sampler for Diffusion Probabilistic Model

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.10786.

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

pith.paper-citation-record.v1
2412.10786 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:42:36.613897Z

measured 24 of 24 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy14
unresolved10
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07b7dfc2-2471-4cfb-b2f6-192420941499 · outbound

This paper cites Perception prioritized training of diffusion models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Perception prioritized training of diffusion models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.880756Z

Source-reported events for the cited work

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Observation 39b0e0bd-ead0-452f-9a6f-d42b287cd96b · outbound

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

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Imagenet: A large-scale hierarchical image database

Reference 2

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Source-reported events for the cited work

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Observation 8e731039-9e70-4ddc-9d34-25befac9647d · outbound

This paper cites Diffusion models beat gans on image synthesis.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Diffusion models beat gans on image synthesis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.863501Z

Source-reported events for the cited work

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Observation 55b0ea29-4eef-42da-a68b-a1bf1dcbc65b · outbound

This paper cites Generative adversarial networks.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Generative adversarial networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.852481Z

Source-reported events for the cited work

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Observation 4f1bc5d9-7ce0-495f-a7c5-f4d0c2d50981 · outbound

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

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 5

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Source-reported events for the cited work

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Observation 49335c49-10a1-4179-810d-fe800bc0dfe0 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Denoising diffu- sion probabilistic models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.835563Z

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.

Observation 45fd4b90-5abf-47a3-87f6-5867aea62c67 · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Gotta Go Fast When Generating Data with Score-Based Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.548210Z

Source-reported events for the cited work

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Observation 85b7e5b6-46a9-485d-adb0-0fe690f1f8b6 · outbound

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

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Elucidating the design space of diffusion-based generative models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.823457Z

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.

Observation cd71cce0-2ef4-46a4-ae68-f257067f9cdb · outbound

This paper cites Training generative adver- sarial networks with limited data.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Training generative adver- sarial networks with limited data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.811994Z

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.

Observation 189c13df-1b3d-4150-87db-f6ae246ef510 · outbound

This paper cites Variational diffusion models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Variational diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.800431Z

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.

Observation f970f627-41d0-4aea-a91d-260af1b2da74 · outbound

This paper cites Auto-Encoding Variational Bayes.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Auto-Encoding Variational Bayes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.563605Z

Source-reported events for the cited work

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Observation 46a1c041-26a7-4142-8f30-ea4ab3bb4d3a · outbound

This paper cites Improved denoising diffusion probabilistic models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Improved denoising diffusion probabilistic models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.567692Z

Source-reported events for the cited work

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Observation 81e464a4-400a-43a1-8f34-b60a4589aa66 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Learning transferable visual models from natural language supervi- sion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.571552Z

Source-reported events for the cited work

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Observation c94c0917-7794-44d3-bd18-2749e3090409 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model High-resolution image synthesis with latent diffusion models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.575369Z

Source-reported events for the cited work

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Observation 072ce836-2cd1-44cd-8101-7784b69f84f7 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model U- net: Convolutional networks for biomedical image segmen- tation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.769655Z

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.

Observation 50a1cf41-5e80-4d2a-8b4b-cc080759d113 · outbound

This paper cites Stylegan- xl: Scaling stylegan to large diverse datasets.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Stylegan- xl: Scaling stylegan to large diverse datasets

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.758740Z

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.

Observation 516f407c-3e3d-46b4-91a0-422a4f446b32 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Deep unsupervised learning using nonequilibrium thermodynamics

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.746303Z

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.

Observation a193e91f-ec91-4673-9da0-8782a341570a · outbound

This paper cites Denoising Diffusion Implicit Models.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Denoising Diffusion Implicit Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.589743Z

Source-reported events for the cited work

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Observation a4730ade-50ea-491a-8c99-1c55ebdb644e · outbound

This paper cites Maximum likelihood training of score-based diffusion mod- els.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Maximum likelihood training of score-based diffusion mod- els

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.735028Z

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.

Observation 63d9b155-a56a-48b1-9239-a11e24ff15c1 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Generative modeling by esti- mating gradients of the data distribution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.723578Z

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.

Observation 419d72cf-c4fa-482b-9172-09429d9b6aa4 · outbound

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

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Score-Based Generative Modeling through Stochastic Differential Equations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.601662Z

Source-reported events for the cited work

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Observation 6d19a007-cabe-4242-92b8-9ca72f890b45 · outbound

This paper cites Neural discrete representation learning.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Neural discrete representation learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.711640Z

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.

Observation 8066111a-bb5b-4603-8eb5-5414cc5b8703 · outbound

This paper cites Exploiting Diffusion Prior for Real-World Image Super-Resolution.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Exploiting Diffusion Prior for Real-World Image Super-Resolution

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:36.609933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 480af9d8-291b-4579-a4a9-cd0f06c330ed · outbound

This paper cites Learning fast samplers for diffusion models by differentiating through sample quality.

Optimizing Few-Step Sampler for Diffusion Probabilistic Model Learning fast samplers for diffusion models by differentiating through sample quality

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:42:36.699192Z

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.

Pith citing papers

No inbound Pith citation observations are available.