Paper Citation Record · LEDGER

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2511.00870.

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pith.paper-citation-record.v1
2511.00870 v2

Coverage vector

measured 44 of 44 reference resolution

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measured 44 of 44 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 8c57f7f5-4817-48d9-ab3e-e5cab46f4538 · outbound

This paper cites an unresolved cited work.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.503307Z

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Observation f01658ee-4d07-4fa7-9b91-36c2cb4e0f90 · outbound

This paper cites Bayesian imaging with data-driven priors encoded by neural networks,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Bayesian imaging with data-driven priors encoded by neural networks,

Reference 2

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Observation 747f9722-f783-4e5a-bb30-6b2d1f26284d · outbound

This paper cites Bayesian imaging using Plug & Play priors: When Langevin meets Tweedie,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Bayesian imaging using Plug & Play priors: When Langevin meets Tweedie,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.511699Z

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Observation 166c1c50-1835-4415-8831-b7f7835ea033 · outbound

This paper cites Regularization by denois- ing: Bayesian model and Langevin-within-split Gibbs sampling,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Regularization by denois- ing: Bayesian model and Langevin-within-split Gibbs sampling,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.515676Z

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Observation 5b622a3b-7a2b-444d-a485-72d06177ea83 · outbound

This paper cites Scalable Bayesian uncertainty quantification with data- driven priors for radio interferometric imaging,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Scalable Bayesian uncertainty quantification with data- driven priors for radio interferometric imaging,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.520198Z

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Observation c59c6636-31e1-4a23-bb05-1402f0139798 · outbound

This paper cites Playing with duality: an overview of recent primal-dual approaches for solving large-scale optimization problems,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Playing with duality: an overview of recent primal-dual approaches for solving large-scale optimization problems,

Reference 6

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Observation ca79ca77-d8db-4e34-a7da-a6051a44ad0e · outbound

This paper cites Non-log-concave and nonsmooth sampling via Langevin Monte Carlo algorithms,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Non-log-concave and nonsmooth sampling via Langevin Monte Carlo algorithms,

Reference 7

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Observation a0b10b08-3153-4394-aa7e-e319968c2e62 · outbound

This paper cites Analysis of Primal-Dual Langevin Algorithms.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Analysis of Primal-Dual Langevin Algorithms

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.532971Z

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Observation 1c9f9820-acd5-484a-bcd5-5fad71f42696 · outbound

This paper cites Nonlinear image recovery with half-quadratic regularization,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Nonlinear image recovery with half-quadratic regularization,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.537208Z

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Observation 2f2b2154-f205-4e00-9ccc-a5eaaec4a9bd · outbound

This paper cites Asymptotically exact data augmentation: Models, properties, and algorithms,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Asymptotically exact data augmentation: Models, properties, and algorithms,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.540970Z

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Observation abfaef90-e05b-4c79-abc1-12db9b6e2a09 · outbound

This paper cites A distributed split- Gibbs sampler with hypergraph structure for high-dimensional inverse problems,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems A distributed split- Gibbs sampler with hypergraph structure for high-dimensional inverse problems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.544865Z

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Observation 2f5fdd7d-814b-4c62-9a49-59179a225081 · outbound

This paper cites Stochastic proximal Langevin algorithm: Potential splitting and nonasymptotic rates,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Stochastic proximal Langevin algorithm: Potential splitting and nonasymptotic rates,

Reference 12

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Observation c03dfbd2-2557-4191-8abe-de1a55fa8dc6 · outbound

This paper cites The SPMD model: Past, present and future,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems The SPMD model: Past, present and future,

Reference 13

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Observation 939a791c-3006-4d48-a2b1-b874192ab926 · outbound

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

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Deep learning techniques for inverse problems in imaging,

Reference 14

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Observation 9c2e6089-187d-4510-8dfa-2aa96eb56e09 · outbound

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

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Plug- and-Play priors for model based reconstruction,

Reference 15

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Observation a7b855ee-3ad9-4bfa-9fdd-ab1bd5c6ec43 · outbound

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

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Plug-and-Play image restoration with deep denoiser prior,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.564536Z

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Observation 68c4681f-14cb-4ed1-ba23-2651b02c191f · outbound

This paper cites NF-ULA: Normalizing flow-based unadjusted Langevin algorithm for imaging inverse problems,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems NF-ULA: Normalizing flow-based unadjusted Langevin algorithm for imaging inverse problems,

Reference 17

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Observation c47849c9-2a98-4f7f-92d7-9d0edfc1280b · outbound

This paper cites Plug-and-Play split Gibbs sampler: Embedding deep generative priors in Bayesian inference,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Plug-and-Play split Gibbs sampler: Embedding deep generative priors in Bayesian inference,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.576788Z

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Observation 8232ece1-b676-4db0-8bb0-d749caded8a9 · outbound

This paper cites Principled probabilistic imaging using diffusion models as Plug-and-Play priors,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Principled probabilistic imaging using diffusion models as Plug-and-Play priors,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.580967Z

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Observation 3b8912c6-5718-423f-a120-30fca02852c1 · outbound

This paper cites The little book of deep learning,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems The little book of deep learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:37.585001Z

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Observation 4237771d-a907-4662-9432-f4469eab1029 · outbound

This paper cites Normalizing flows: An introduction and review of current methods,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Normalizing flows: An introduction and review of current methods,

Reference 21

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Observation c1a2d885-fbe9-4c97-9f4d-63a61edf3664 · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems A Survey on Diffusion Models for Inverse Problems

Reference 22

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Observation bd0115d1-630f-4af4-87be-7d6179ab8b71 · outbound

This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,

Reference 23

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Observation 3bc0ab40-82e6-4a23-8757-f39862f56c1c · outbound

This paper cites Dual forward- backward unfolded network for flexible Plug-and-Play,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Dual forward- backward unfolded network for flexible Plug-and-Play,

Reference 24

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Observation 0e2d5fe6-87ef-4da4-b620-7a9fe5ad3931 · outbound

This paper cites Unfolded proximal neural networks for robust image Gaussian denoising,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Unfolded proximal neural networks for robust image Gaussian denoising,

Reference 25

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Observation 3bbb29ed-6696-4af7-9c6c-db5ffaeda4ea · outbound

This paper cites Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems,

Reference 26

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Observation ee6b8648-42a1-4cc4-87ce-7dfb297615b3 · outbound

This paper cites Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,

Reference 27

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Observation bb7b5ec9-c21b-462e-9fd8-1a73d61041c6 · outbound

This paper cites Proximit ´e et dualit ´e dans un espace hilbertien,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Proximit ´e et dualit ´e dans un espace hilbertien,

Reference 28

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Observation 6cf94bf6-1fd9-4b0c-a708-5c45d02156df · outbound

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems The science of computing,

Reference 29

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Observation 9fadbce0-d6a9-4897-bdcc-70c7ce0244ab · outbound

This paper cites Efficient Bayesian compu- tation by proximal Markov chain Monte Carlo: When Langevin meets Moreau,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Efficient Bayesian compu- tation by proximal Markov chain Monte Carlo: When Langevin meets Moreau,

Reference 30

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Observation 9df2a5ca-03e2-4803-85b6-3a8b3855e066 · outbound

This paper cites Nonlinear total variation based noise removal algorithms,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Nonlinear total variation based noise removal algorithms,

Reference 31

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Observation 848369f7-6c55-46f3-8ea0-daf04491c7ac · outbound

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Dualization of signal recovery problems,

Reference 32

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Proximal splitting methods in signal processing,

Reference 33

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This paper cites Vetterli, J.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Vetterli, J

Reference 34

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Scaling painting style transfer,

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This paper cites Split-and-augmented Gibbs sampler–Application to large-scale inference problems,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Split-and-augmented Gibbs sampler–Application to large-scale inference problems,

Reference 36

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This paper cites Accelerating proximal Markov chain Monte Carlo by using an explicit stabilized method,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Accelerating proximal Markov chain Monte Carlo by using an explicit stabilized method,

Reference 37

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems ImageNet large scale visual recognition challenge,

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Adam: A Method for Stochastic Optimization

Reference 39

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Learning maximally monotone operators for image recovery,

Reference 40

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This paper cites NTIRE 2017 challenge on single image super-resolution: Dataset and study,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems NTIRE 2017 challenge on single image super-resolution: Dataset and study,

Reference 41

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A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Image quality assessment: From error visibility to structural similarity,

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This paper cites Mean squared error: Love it or leave it? A new look at signal fidelity measures,.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Mean squared error: Love it or leave it? A new look at signal fidelity measures,

Reference 43

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This paper cites Available: https://ieeexplore.ieee.org/abstract/document/ 9454311.

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems Available: https://ieeexplore.ieee.org/abstract/document/ 9454311

Reference 2021

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