Paper Citation Record · LEDGER

A Mixture-Based Framework for Guiding Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2502.03332.

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

pith.paper-citation-record.v1
2502.03332 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:10:54.878397Z

measured 61 of 61 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T00:13:51.383775Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:14:27.732339Z

Reference resolution

59 of 59 outbound references displayed

verified exact2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92f02dd2-e92b-4614-8cd3-636eb11f7a6f · outbound

This paper cites write newline.

A Mixture-Based Framework for Guiding Diffusion Models write newline

Reference 1

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Observation a7751332-84ce-4209-84d1-75015eb85e30 · outbound

This paper cites Tweedie Moment Projected Diffusions For Inverse Problems.

A Mixture-Based Framework for Guiding Diffusion Models Tweedie Moment Projected Diffusions For Inverse Problems

Reference 2

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Observation bdc34111-45bc-4e4d-93d0-572dda975dc5 · outbound

This paper cites J., Corff, S.

A Mixture-Based Framework for Guiding Diffusion Models J., Corff, S

Reference 3

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Observation 83a9eb75-ddae-4a3a-8cca-155953ed6e8f · outbound

This paper cites and George, E.

A Mixture-Based Framework for Guiding Diffusion Models and George, E

Reference 4

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Observation 127eb091-5a8e-4080-833d-6b84cbe3595e · outbound

This paper cites Ilvr: Conditioning method for denoising diffusion probabilistic models.

A Mixture-Based Framework for Guiding Diffusion Models Ilvr: Conditioning method for denoising diffusion probabilistic models

Reference 5

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Observation cc88efb0-b1a2-4cde-a279-5917ad438301 · outbound

This paper cites T., Klasky, M.

A Mixture-Based Framework for Guiding Diffusion Models T., Klasky, M

Reference 6

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Observation 44c0e869-008f-40c4-afbf-a5fce7c66bd8 · outbound

This paper cites Conditioning diffusion models by explicit forward-backward bridging.

A Mixture-Based Framework for Guiding Diffusion Models Conditioning diffusion models by explicit forward-backward bridging

Reference 7

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Observation 3d32a363-4e4e-4b5a-a8f3-473e8a923879 · outbound

This paper cites G., Ye, C., and Delbracio, M.

A Mixture-Based Framework for Guiding Diffusion Models G., Ye, C., and Delbracio, M

Reference 8

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Observation 6500b666-d8e3-4286-aa7e-076ba2cba9d6 · outbound

This paper cites Music Source Separation in the Waveform Domain.

A Mixture-Based Framework for Guiding Diffusion Models Music Source Separation in the Waveform Domain

Reference 9

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A Mixture-Based Framework for Guiding Diffusion Models and Nichol, A

Reference 10

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Observation e3c2886b-5ea8-4be6-bc4e-d866a0c8d7b8 · outbound

This paper cites C., He, K., and Tang, X.

A Mixture-Based Framework for Guiding Diffusion Models C., He, K., and Tang, X

Reference 11

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Observation 181923d3-9ca3-4e14-a462-6e59a70c6fc6 · outbound

This paper cites and Song, Y.

A Mixture-Based Framework for Guiding Diffusion Models and Song, Y

Reference 12

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Observation e5dfe9b9-d0ce-493c-9a2b-1cafd76d2f6e · outbound

This paper cites A., Boral, A., Wilson, A.

A Mixture-Based Framework for Guiding Diffusion Models A., Boral, A., Wilson, A

Reference 13

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Observation 6807efa1-5116-4161-beb8-e66b448bf78c · outbound

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A Mixture-Based Framework for Guiding Diffusion Models Unresolved cited work

Reference 14

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This paper cites and Geman, D.

A Mixture-Based Framework for Guiding Diffusion Models and Geman, D

Reference 15

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Observation 8fa40c15-7251-4610-89c4-2e904fd2eb17 · outbound

This paper cites Denoising diffusion probabilistic models.

A Mixture-Based Framework for Guiding Diffusion Models Denoising diffusion probabilistic models

Reference 16

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A Mixture-Based Framework for Guiding Diffusion Models Unresolved cited work

Reference 17

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A Mixture-Based Framework for Guiding Diffusion Models Unresolved cited work

Reference 18

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Observation 35280412-6e8c-4ff6-ae9e-0a19e6b56198 · outbound

This paper cites Motiondiffuser: Controllable multi-agent motion prediction using diffusion.

A Mixture-Based Framework for Guiding Diffusion Models Motiondiffuser: Controllable multi-agent motion prediction using diffusion

Reference 19

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Observation 33d8ff94-2bb1-4d2e-8f20-35dcc6821fd4 · outbound

This paper cites Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser.

A Mixture-Based Framework for Guiding Diffusion Models Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 20

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Observation cce8623e-d557-4568-8495-53d189392b1b · outbound

This paper cites Snips: Solving noisy inverse problems stochastically.

A Mixture-Based Framework for Guiding Diffusion Models Snips: Solving noisy inverse problems stochastically

Reference 21

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This paper cites Denoising diffusion restoration models.

A Mixture-Based Framework for Guiding Diffusion Models Denoising diffusion restoration models

Reference 22

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Observation 1a22824e-6b08-44dc-b2b6-c7f4fa43e513 · outbound

This paper cites Auto-Encoding Variational Bayes.

A Mixture-Based Framework for Guiding Diffusion Models Auto-Encoding Variational Bayes

Reference 23

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Observation f3c5ca14-4cc1-4c8d-b984-8e0fe522cf55 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network.

A Mixture-Based Framework for Guiding Diffusion Models Photo-realistic single image super-resolution using a generative adversarial network

Reference 24

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Observation 1dde3cfa-9153-487c-97c2-23d60f677b4b · outbound

This paper cites Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

A Mixture-Based Framework for Guiding Diffusion Models Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 25

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Observation c9c08e57-70bb-46bb-ba4d-e8b09f62a5a9 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

A Mixture-Based Framework for Guiding Diffusion Models Repaint: Inpainting using denoising diffusion probabilistic models

Reference 26

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Observation 0377a8ce-1e63-4197-b7a7-0ce19b1500ad · outbound

This paper cites Cutting music source separation some slakh: A dataset to study the impact of training data quality and quantity.

A Mixture-Based Framework for Guiding Diffusion Models Cutting music source separation some slakh: A dataset to study the impact of training data quality and quantity

Reference 27

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Observation 0917bdec-3f03-462e-bf10-879c8cb4fd62 · outbound

This paper cites A., Pardo, B., and Engel, J.

A Mixture-Based Framework for Guiding Diffusion Models A., Pardo, B., and Engel, J

Reference 28

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Observation 2048c42e-6829-463c-8673-f728e53b7559 · outbound

This paper cites A variational perspective on solving inverse problems with diffusion models.

A Mixture-Based Framework for Guiding Diffusion Models A variational perspective on solving inverse problems with diffusion models

Reference 29

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Observation a1c3847a-cd3c-4304-bbe1-bf737a9a61ec · outbound

This paper cites Multi-Source Diffusion Models for Simultaneous Music Generation and Separation.

A Mixture-Based Framework for Guiding Diffusion Models Multi-Source Diffusion Models for Simultaneous Music Generation and Separation

Reference 30

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Observation ea0a38d3-d6af-4471-a8a2-26f4b7230491 · outbound

This paper cites Estimating high order gradients of the data distribution by denoising.

A Mixture-Based Framework for Guiding Diffusion Models Estimating high order gradients of the data distribution by denoising

Reference 31

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Observation 2f2fab25-59f7-4d13-919a-180207c06678 · outbound

This paper cites Variational Diffusion Posterior Sampling with Midpoint Guidance.

A Mixture-Based Framework for Guiding Diffusion Models Variational Diffusion Posterior Sampling with Midpoint Guidance

Reference 32

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A Mixture-Based Framework for Guiding Diffusion Models Unresolved cited work

Reference 33

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A Mixture-Based Framework for Guiding Diffusion Models Unresolved cited work

Reference 34

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Observation 53221fdb-5a68-4e73-ab27-df103d6f16e2 · outbound

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

A Mixture-Based Framework for Guiding Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 35

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A Mixture-Based Framework for Guiding Diffusion Models Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 36

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This paper cites L., Wisdom, S., Erdogan, H., and Hershey, J.

A Mixture-Based Framework for Guiding Diffusion Models L., Wisdom, S., Erdogan, H., and Hershey, J

Reference 37

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Observation c6c7b19b-d0c5-444b-8c43-43f1f6915cb0 · outbound

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A Mixture-Based Framework for Guiding Diffusion Models and Louppe, G

Reference 38

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Observation 52eedc03-021a-424c-9f8f-33b5d0c33d8c · outbound

This paper cites Learning diffusion priors from observations by expectation maximization.

A Mixture-Based Framework for Guiding Diffusion Models Learning diffusion priors from observations by expectation maximization

Reference 39

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Observation 84eeedd7-ff1e-4e5d-80e0-6e27b4b00300 · outbound

This paper cites Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion.

A Mixture-Based Framework for Guiding Diffusion Models Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion

Reference 40

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A Mixture-Based Framework for Guiding Diffusion Models and Song, D

Reference 41

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Observation ca6fed32-4f22-41c8-bd17-993f54b6de58 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

A Mixture-Based Framework for Guiding Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 42

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A Mixture-Based Framework for Guiding Diffusion Models M., Zhang, Z., Hu, X., Qu, Q., and Shen, L

Reference 43

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

A Mixture-Based Framework for Guiding Diffusion Models Pseudoinverse-guided diffusion models for inverse problems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:10:56.241040Z

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Observation df25896e-1630-4bb3-9822-388687c41038 · outbound

This paper cites Loss-guided diffusion models for plug-and-play controllable generation.

A Mixture-Based Framework for Guiding Diffusion Models Loss-guided diffusion models for plug-and-play controllable generation

Reference 45

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Observation 48ea0874-9d2e-4290-bf37-24d1c2888602 · outbound

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A Mixture-Based Framework for Guiding Diffusion Models and Ermon, S

Reference 46

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A Mixture-Based Framework for Guiding Diffusion Models P., Kumar, A., Ermon, S., and Poole, B

Reference 47

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A Mixture-Based Framework for Guiding Diffusion Models Removing Structured Noise with Diffusion Models

Reference 48

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A Mixture-Based Framework for Guiding Diffusion Models T., Phung, Q., and Hoai, M

Reference 49

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Observation 11af9721-1598-4e89-b6a4-86c66e1600d7 · outbound

This paper cites L., Yim, J., Tischer, D., Baker, D., Broderick, T., Barzilay, R., and Jaakkola, T.

A Mixture-Based Framework for Guiding Diffusion Models L., Yim, J., Tischer, D., Baker, D., Broderick, T., Barzilay, R., and Jaakkola, T

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:10:56.006560Z

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Observation fb96a2e4-cf19-478e-9710-8bccf7d08985 · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

A Mixture-Based Framework for Guiding Diffusion Models Zero-shot image restoration using denoising diffusion null-space model

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:10:55.983627Z

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Observation 165d8b4c-dc66-41ed-902b-721057153b01 · outbound

This paper cites L., Naesseth, C.

A Mixture-Based Framework for Guiding Diffusion Models L., Naesseth, C

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:10:55.953090Z

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Observation 186d9a86-bf90-4210-8f1d-f1ec796b3f10 · outbound

This paper cites Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

A Mixture-Based Framework for Guiding Diffusion Models Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Reference 54

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Observation 1c6d9c66-7d25-4876-90ed-19897c00b2cb · outbound

This paper cites Gan inversion: A survey.

A Mixture-Based Framework for Guiding Diffusion Models Gan inversion: A survey

Reference 55

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Observation f66d3f51-2861-4f13-bc83-4afcf54644ac · outbound

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A Mixture-Based Framework for Guiding Diffusion Models and Chi, Y

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:10:55.914894Z

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Observation 0922f492-b3ea-4820-8cd7-25dd8fb40ef5 · outbound

This paper cites Freedom: Training-free energy-guided conditional diffusion model.

A Mixture-Based Framework for Guiding Diffusion Models Freedom: Training-free energy-guided conditional diffusion model

Reference 57

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Observation 0c55dba1-5397-4ce4-8e07-ba07129c5a8a · outbound

This paper cites Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing.

A Mixture-Based Framework for Guiding Diffusion Models Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Reference 59

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Observation bae60dc1-ce4e-41e5-b73e-7bef6c677e03 · outbound

This paper cites A., Shechtman, E., and Wang, O.

A Mixture-Based Framework for Guiding Diffusion Models A., Shechtman, E., and Wang, O

Reference 60

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Observation 38fa723c-3e67-43e0-8eca-2e85e9b37d2f · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

A Mixture-Based Framework for Guiding Diffusion Models Denoising diffusion models for plug-and-play image restoration

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:10:55.806953Z

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Pith citing papers

Observation 9cd98322-3063-4597-a6ba-4384b0545c1c · inbound

Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions cites this paper.

Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions A Mixture-Based Framework for Guiding Diffusion Models

Reference 17

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Observation 2ae2231c-d607-42fa-bd50-f85965b14ac3 · inbound

Image Restoration via Diffusion Models with Dynamic Resolution cites this paper.

Image Restoration via Diffusion Models with Dynamic Resolution A Mixture-Based Framework for Guiding Diffusion Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:53:32.948299Z

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