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Paper Citation Record · LEDGER

Information-Theoretic Proofs for Diffusion Sampling

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.02305.

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

pith.paper-citation-record.v1
2502.02305 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:44:54.326228Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1367b95f-76ca-4d23-a004-efc01291a21e · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Information-Theoretic Proofs for Diffusion Sampling Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 1

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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 c98b0090-7bd9-48ea-8806-b09afd780df1 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Information-Theoretic Proofs for Diffusion Sampling Generative modeling by estimating gradients of the data distribution,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a3a4126-b470-4345-aaec-593e351f91b7 · outbound

This paper cites Denoising diffusion probabilistic models,.

Information-Theoretic Proofs for Diffusion Sampling Denoising diffusion probabilistic models,

Reference 3

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Source-reported events for the cited work

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Observation 508045eb-872e-4ece-bdd3-395cf1a91167 · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models,.

Information-Theoretic Proofs for Diffusion Sampling Glide: Towards photorealistic image generation and editing with text-guided diffusion models,

Reference 4

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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 a81d6358-38e7-42ef-a963-29842e93e928 · outbound

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

Information-Theoretic Proofs for Diffusion Sampling High-resolution image synthesis with latent diffusion models,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8cf96d9e-6a2c-4852-8493-c7518c901d66 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

Information-Theoretic Proofs for Diffusion Sampling Photorealistic text-to-image diffusion models with deep language understanding,

Reference 6

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Source-reported events for the cited work

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Observation f0a0722a-2671-4c57-81ec-e41cc4a317cc · outbound

This paper cites Score-based gener- ative modeling through stochastic differential equations,.

Information-Theoretic Proofs for Diffusion Sampling Score-based gener- ative modeling through stochastic differential equations,

Reference 7

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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 24c02078-37c0-4c4d-97db-b873ecab395b · outbound

This paper cites Mutual information and minimum mean-square error in Gaussian channels,.

Information-Theoretic Proofs for Diffusion Sampling Mutual information and minimum mean-square error in Gaussian channels,

Reference 8

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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 c729ea80-6024-447d-a81b-72a63e25c345 · outbound

This paper cites Zero- shot text-to-image generation,.

Information-Theoretic Proofs for Diffusion Sampling Zero- shot text-to-image generation,

Reference 9

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 762cd0f7-6032-46c4-b52f-0bfb1ca48131 · outbound

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

Information-Theoretic Proofs for Diffusion Sampling Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 17e9e090-90e9-4dcf-87ee-868bba5d82a0 · outbound

This paper cites Thin shell implies spectral gap up to polylog via a stochastic localization scheme,.

Information-Theoretic Proofs for Diffusion Sampling Thin shell implies spectral gap up to polylog via a stochastic localization scheme,

Reference 11

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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 b0593eeb-72d4-40fb-a5dd-735ab3e0ac98 · outbound

This paper cites Localization schemes: A framework for proving mixing bounds for markov chains,.

Information-Theoretic Proofs for Diffusion Sampling Localization schemes: A framework for proving mixing bounds for markov chains,

Reference 12

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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 73e63948-1134-412e-b784-310e22de07cd · outbound

This paper cites An information-theoretic view of stochastic localization,.

Information-Theoretic Proofs for Diffusion Sampling An information-theoretic view of stochastic localization,

Reference 13

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 e62555cf-9a44-43fa-aaa2-dc6262a2d9af · outbound

This paper cites Sampling, Diffusions, and Stochastic Localization.

Information-Theoretic Proofs for Diffusion Sampling Sampling, Diffusions, and Stochastic Localization

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 710c93ad-045d-49be-82ac-b2cc500ce1df · outbound

This paper cites Information-theoretic diffusion,.

Information-Theoretic Proofs for Diffusion Sampling Information-theoretic diffusion,

Reference 15

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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 c28f3ec4-cc2b-4f72-9a96-063179d586d8 · outbound

This paper cites Interpretable diffusion via information decomposition,.

Information-Theoretic Proofs for Diffusion Sampling Interpretable diffusion via information decomposition,

Reference 16

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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 94b0f6c8-b7b2-4ddc-9d41-654229f02073 · outbound

This paper cites Convergence of score-based generative modeling for general data distributions,.

Information-Theoretic Proofs for Diffusion Sampling Convergence of score-based generative modeling for general data distributions,

Reference 17

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 122c9714-9b20-4311-b2b4-1234dcb78234 · outbound

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

Information-Theoretic Proofs for Diffusion Sampling Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions,

Reference 18

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 96f250e8-79d3-4791-a51c-96e28d4f964c · outbound

This paper cites Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions,.

Information-Theoretic Proofs for Diffusion Sampling Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions,

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.

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Observation d739c5ba-0f23-462a-a50b-86e4c44d0ab8 · outbound

This paper cites Nearly d-linear convergence bounds for diffusion models via stochastic localization,.

Information-Theoretic Proofs for Diffusion Sampling Nearly d-linear convergence bounds for diffusion models via stochastic localization,

Reference 20

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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 f5b31f38-7bc5-4c16-aa75-2a3f7af64a60 · outbound

This paper cites Towards faster non-asymptotic convergence for diffusion-based generative models,.

Information-Theoretic Proofs for Diffusion Sampling Towards faster non-asymptotic convergence for diffusion-based generative models,

Reference 21

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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 98596f16-552d-4152-baa3-8193accbe70a · outbound

This paper cites Accelerating convergence of score-based diffusion models, provably,.

Information-Theoretic Proofs for Diffusion Sampling Accelerating convergence of score-based diffusion models, provably,

Reference 22

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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 31198262-f173-4234-a78a-fc99f01641e1 · outbound

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

Information-Theoretic Proofs for Diffusion Sampling Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:44:54.316970Z digest=sha256:a89e9253c80299ff98df7bf1f3f4c5b48c6257c68fa7e9bcc075044c96f996c6

Observation a82f20fe-8848-4a03-a307-81a13b63b4ef · outbound

This paper cites Provable Acceleration for Diffusion Models under Minimal Assumptions.

Information-Theoretic Proofs for Diffusion Sampling Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 24

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no resolver link, observed 2026-08-09T12:44:54.321678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 99bd76bc-8934-4c9e-800d-0d9d412476d5 · outbound

This paper cites Asymptotics of smoothed Wasserstein distances,.

Information-Theoretic Proofs for Diffusion Sampling Asymptotics of smoothed Wasserstein distances,

Reference 25

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raw_fallback, observed 2026-08-09T12:44:54.423700Z

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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Pith citing papers

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