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Paper Citation Record · LEDGER

Plug-and-Play Posterior Sampling for Blind Inverse Problems

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.22923.

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

pith.paper-citation-record.v1
2505.22923 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:25.289790Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

43 of 43 outbound references displayed

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  • verified fuzzy42
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dadd2232-ac6a-4f7a-ac76-6e92ba5042b3 · outbound

This paper cites Convolutional neural networks for inverse problems in imaging: A review,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Convolutional neural networks for inverse problems in imaging: A review,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ae20f557-c29f-4d6d-9a2c-57e66ee1a4d6 · outbound

This paper cites Using deep neural networks for inverse problems in imaging: Beyond analytical methods,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Using deep neural networks for inverse problems in imaging: Beyond analytical methods,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b40e2093-c495-4282-89b4-7977af4f74c4 · outbound

This paper cites Deep learning techniques for inverse problems in imaging,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Deep learning techniques for inverse problems in imaging,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fdcfeea6-cd39-4da4-b1d7-6f59432a7c55 · outbound

This paper cites Plug-and-play priors for model based reconstruction,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play priors for model based reconstruction,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 47258586-1872-4542-9ea3-38e098ee9015 · outbound

This paper cites Plug-and-play priors for bright field electron tomography and sparse interpolation,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play priors for bright field electron tomography and sparse interpolation,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b67c947d-b838-44e6-b4c3-fe5b20f27adb · outbound

This paper cites prDeep: Robust phase retrieval with a flexible deep network,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems prDeep: Robust phase retrieval with a flexible deep network,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b7e5e79a-794e-419c-8ef1-c36d2d22cf84 · outbound

This paper cites Learning deep CNN denoiser prior for image restoration,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Learning deep CNN denoiser prior for image restoration,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:31.551146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:21.404930Z digest=sha256:ad11b465b472e17fc1eb9af53a6141734e891dcf3f254b3dba7f25e003d742eb

Observation fc851c7a-ac07-401e-9f49-e4263a3ba8d5 · outbound

This paper cites Learning proximal operators: Using denoising networks for regularizing inverse imaging problems,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Learning proximal operators: Using denoising networks for regularizing inverse imaging problems,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5002b03b-e0d1-4297-ac8e-47d303695ca4 · outbound

This paper cites Denoising prior driven deep neural network for image restoration,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Denoising prior driven deep neural network for image restoration,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:31.079088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ef5f21da-4aba-43cd-a432-d7b624479dfe · outbound

This paper cites Deep plug-and-play super-resolution for arbitrary blur kernels,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Deep plug-and-play super-resolution for arbitrary blur kernels,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation aa4ba303-539b-4c50-bd3c-c141f0c88759 · outbound

This paper cites Tuning-free plug-and-play proximal algorithm for inverse imaging problems,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Tuning-free plug-and-play proximal algorithm for inverse imaging problems,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 704799e4-21db-43c4-9d89-425357d80e5a · outbound

This paper cites Plug-and-play image restoration with deep denoiser prior,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play image restoration with deep denoiser prior,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:22.092283Z digest=sha256:544c9c2c410eccd551abcb435c27fabaff9277e7cb0177daaf39a7b2caadf841

Observation acad94d5-536e-44cf-9258-b4821ed2a6be · outbound

This paper cites Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ecbccd58-1653-46ae-bc6b-eaf2f7455132 · outbound

This paper cites Plug-and- play methods for magnetic resonance imaging: Using denoisers for image recovery,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and- play methods for magnetic resonance imaging: Using denoisers for image recovery,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 559e8575-5737-40bf-82d2-0cfbf109c3ad · outbound

This paper cites Plug-and-play methods for integrating physical and learned models in computational imaging,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play methods for integrating physical and learned models in computational imaging,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:29.861808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5919cc0a-532e-41bc-ab43-5a43826e4354 · outbound

This paper cites Plug-and-play ADMM for image restoration: Fixed-point convergence and applications,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play ADMM for image restoration: Fixed-point convergence and applications,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66988c39-ddbc-420e-a510-c6c9eb097e1f · outbound

This paper cites The little engine that could: Regularization by denoising (RED),.

Plug-and-Play Posterior Sampling for Blind Inverse Problems The little engine that could: Regularization by denoising (RED),

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:29.734988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8e3b92f3-e737-435b-a78b-374b14a144d5 · outbound

This paper cites Plug-and-play unplugged: Optimization free reconstruction using consensus equilibrium,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play unplugged: Optimization free reconstruction using consensus equilibrium,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d2e88dd9-a9ca-4dbb-8ad5-7712a4fd47d1 · outbound

This paper cites Regularization by denoising: Clarifications and new interpretations,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Regularization by denoising: Clarifications and new interpretations,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2bf9c5b8-2829-47db-9b0b-46a68a0c4b3b · outbound

This paper cites An online plug-and-play algorithm for regularized image reconstruction,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems An online plug-and-play algorithm for regularized image reconstruction,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:29.315210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3aec946d-c632-4f1f-86f0-3d73af825c97 · outbound

This paper cites Block coordinate regularization by denoising,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Block coordinate regularization by denoising,

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fc5246a8-27d2-4bc3-935f-43447b6d3253 · outbound

This paper cites Plug-and-play methods provably converge with properly trained denoisers,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play methods provably converge with properly trained denoisers,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:29.047040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9f424721-72fd-47bc-bbb0-1bdba9aa90b7 · outbound

This paper cites Provable convergence of plug-and-play priors with mmse denoisers,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Provable convergence of plug-and-play priors with mmse denoisers,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.919641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3b2a0eb3-6eb7-4587-be95-cb82efd665c1 · outbound

This paper cites Recovery analysis for plug-and-play priors using the restricted eigenvalue condition,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Recovery analysis for plug-and-play priors using the restricted eigenvalue condition,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.764194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 22cda238-babb-4112-b4dd-33dcfc4e5a25 · outbound

This paper cites Stochastic solutions for linear inverse problems using the prior implicit in a denoiser,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Stochastic solutions for linear inverse problems using the prior implicit in a denoiser,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.611167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5b4f0410-f005-4d60-bb59-fc0dbeef501f · outbound

This paper cites Gradient step denoiser for convergent plug-and-play,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Gradient step denoiser for convergent plug-and-play,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.461998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bd82f9a4-f2dd-4dca-b3d2-94b3e259859d · outbound

This paper cites Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.310946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:23.605637Z digest=sha256:11276c9ec2a0d86923f443327bac52db38ccda38d6c5cb84f683cfecbf06a2ea

Observation e7efc323-c523-40a5-a2ea-555d18458c05 · outbound

This paper cites Block coordinate plug-and-play methods for blind inverse problems,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Block coordinate plug-and-play methods for blind inverse problems,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.181738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:23.714885Z digest=sha256:da2bf0aa25626bdfc85769aeda60b3e63d9a93f5c9e195abd3d1df40ce1b5acf

Observation e149205d-d4ba-4abc-b11e-4d3c1e6f7c3e · outbound

This paper cites Bayesian imaging using plug & play priors: When Langevin meets Tweedie,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Bayesian imaging using plug & play priors: When Langevin meets Tweedie,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:28.048920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:23.824667Z digest=sha256:56095cd53e16b01b30cc047d1721afab3b8e4263142b05e4f844a824160b3aa6

Observation cc3855f3-3a15-4063-b504-9350c2f11086 · outbound

This paper cites Plug-and-play split gibbs sampler: Embedding deep generative priors in bayesian inference,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Plug-and-play split gibbs sampler: Embedding deep generative priors in bayesian inference,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.871784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:23.935229Z digest=sha256:01d5ed238107be2751d212ab434b2decc7fd54b3cd1bb3cc63c0b33bd8760cdd

Observation f8dad6bb-d72d-468e-8a6d-fb5b72016474 · outbound

This paper cites Principled probabilistic imaging using diffusion models as plug-and-play priors,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Principled probabilistic imaging using diffusion models as plug-and-play priors,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.710827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.039769Z digest=sha256:bbba32ef79a83e394f4c241e4f4f9f6c5419441a0ad6119129d48e6e322e5fa3

Observation 45104202-28ae-4c0f-8c19-b9b40866d93d · outbound

This paper cites Campisi and K.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Campisi and K

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.568336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.153879Z digest=sha256:5eb470f5f3ba0feee8847a36eb731c7603d188bea398a3dd765633ca92660de4

Observation bb08d4aa-0d4f-42ba-a2ad-2716dbe32246 · outbound

This paper cites Optimization methods for magnetic resonance image reconstruction,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Optimization methods for magnetic resonance image reconstruction,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.437405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.234056Z digest=sha256:f29c3057b83321c07484351de22de9916356c4f84c09480ac801105f70bda15f

Observation ab67f08f-8f3c-4ba7-9c45-a8b88174bc94 · outbound

This paper cites Provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.299325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.331290Z digest=sha256:5a0a825b56ae857b33fef58cffc877910c7080c31ec9c67825b79e84e455ee06

Observation bdb60136-0032-47bb-ab8d-bef0abf2fbb2 · outbound

This paper cites Split-and-augmented gibbs sampler—application to large-scale inference problems,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Split-and-augmented gibbs sampler—application to large-scale inference problems,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.173293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.440711Z digest=sha256:15a7155f5b250bd3931587797c6ff258901e657970db7a36c20dba90a117216c

Observation 18ba350a-dca2-46db-ba57-64d427a0d34b · outbound

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

Plug-and-Play Posterior Sampling for Blind Inverse Problems Elucidating the design space of diffusion-based generative models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:27.052070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.548093Z digest=sha256:c5f3b2a296f27078f0c968eab94b5da9e843498544e72b2cfe1dba23e538955e

Observation 4fe86155-fb0c-4a75-9d9e-8981ff94d9c3 · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems A style-based generator architecture for generative adversarial networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:26.914531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.628101Z digest=sha256:08cc4d8325f2adf3b0f40fc4c8997dfeafdc5b2bf25a874b42dd71441c8c0051

Observation 59538857-59ff-4f96-9a3d-2e1c75ddde4c · outbound

This paper cites Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:26.751037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.710209Z digest=sha256:e490d9bbfd0c888049c01d98c08f9088518ebb69ea5d2ca8568cd6fc94ec4832

Observation 31462cd6-42f8-4f5d-a241-c8f3199461d2 · outbound

This paper cites Parallel diffusion models of operator and image for blind inverse problems,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Parallel diffusion models of operator and image for blind inverse problems,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:26.507663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.806351Z digest=sha256:f26622afe2a6530710d14bf3dbc19de5ddff2fde9e43a38f058803139fb2a7d4

Observation 59b88491-c3b2-4560-bd44-92769da7795c · outbound

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

Plug-and-Play Posterior Sampling for Blind Inverse Problems Diffusion models beat gans on image synthesis,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:26.235886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:24.954399Z digest=sha256:f375e24bb6a921eabdb001f49973fafeb5a4d3b3165c7056ef9504284e9a5b98

Observation 0a55df1d-1e0a-4f8b-aab5-89273247a29f · outbound

This paper cites Deblurring images via dark channel prior,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Deblurring images via dark channel prior,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:25.977571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:25.067044Z digest=sha256:139671450e7f044958105250f576ad1acc86bd68ffbba44a8ae98f3d29119350

Observation c8b148e9-672b-4ab8-be7e-96bc1ad006e4 · outbound

This paper cites Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:25.756268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:25.179067Z digest=sha256:ba2ada28bbfd282c3eb5a327030f70dba935551812932728b8400a33d8dd0e72

Observation bbe5b287-0495-48d0-b6bb-accb4ed2166b · outbound

This paper cites Gibbsddrm: A partially collapsed gibbs sampler for solving blind inverse problems with denoising diffusion restoration,.

Plug-and-Play Posterior Sampling for Blind Inverse Problems Gibbsddrm: A partially collapsed gibbs sampler for solving blind inverse problems with denoising diffusion restoration,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:03:25.550971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:25.289790Z digest=sha256:3519413ba932edc43d77613fad16802e35dbd2df91925cc3fedbb9fd86f157d2

Pith citing papers

No inbound Pith citation observations are available.