Paper Citation Record · LEDGER

A Gibbs posterior sampler for inverse problem based on prior diffusion model

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2602.11059.

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

pith.paper-citation-record.v1
2602.11059 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:57:10.276315Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e13e276f-4319-4f1c-ba9b-1a2999759eac · outbound

This paper cites Giovannelli and J.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Giovannelli and J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:07.512272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 360b320a-b67c-40db-9708-c9ffe222868f · outbound

This paper cites Kaipio and E.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Kaipio and E

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:07.593465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09cfee8c-3c24-4c7a-afa6-e3d032c63760 · outbound

This paper cites an unresolved cited work.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:07.653939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a839ed3a-1df8-4d68-b3cd-f521bab2b37a · outbound

This paper cites an unresolved cited work.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:07.810722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b171e2cd-0e0e-4a9e-8327-46be59f2f0b7 · outbound

This paper cites an unresolved cited work.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:07.915369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d3f677-df7e-4756-a4a9-fa3e4cb2a935 · outbound

This paper cites an unresolved cited work.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.120950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdfcde17-0541-4865-84b7-a0eb512aa304 · outbound

This paper cites Nakkiran, A.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Nakkiran, A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.321811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc4c4da-df74-46cf-9b00-475218027417 · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Diffusion posterior sampling for general noisy inverse problems,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.492007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb71c92-d19e-45fd-847e-607ebd48fa60 · outbound

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

A Gibbs posterior sampler for inverse problem based on prior diffusion model Pseudoinverse-guided diffusion models for inverse problems,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.626297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99f94274-5256-4a88-b3fd-bb8328586559 · outbound

This paper cites Practical and asymptotically exact conditional sampling in diffusion models,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Practical and asymptotically exact conditional sampling in diffusion models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.831304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6ae932-470f-4c87-a03e-25c040534698 · outbound

This paper cites Diffusion posterior sampling for linear inverse problem solving: A filtering perspective,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Diffusion posterior sampling for linear inverse problem solving: A filtering perspective,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.928247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b70884-27b3-4c97-a7c3-20d76bfa1328 · outbound

This paper cites Think twice before you act: Improving inverse problem solving with MCMC,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Think twice before you act: Improving inverse problem solving with MCMC,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:08.978778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d52472a-35e1-4621-8322-e6e15bca8185 · outbound

This paper cites Monte Carlo guided Diffusion for Bayesian linear inverse problems.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.107994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da4ad34-76ab-4fbb-870f-93053c54aab7 · outbound

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

A Gibbs posterior sampler for inverse problem based on prior diffusion model Plug-and-play split Gibbs sampler: Embedding deep generative priors in Bayesian inference,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00dc64dc-840c-43ab-ae4a-75eb51453474 · outbound

This paper cites Bridging diffusion posterior sampling and Monte Carlo methods: a survey,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Bridging diffusion posterior sampling and Monte Carlo methods: a survey,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.282297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e6d7bc-03a6-46bd-8107-18564550997d · outbound

This paper cites Bayesian estimation of regularization and point spread function parameters for Wiener–Hunt deconvolution,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Bayesian estimation of regularization and point spread function parameters for Wiener–Hunt deconvolution,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.484942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b14b9a0-cf43-42ef-bdf5-0ca1d47d60a3 · outbound

This paper cites Gaussian is all you need: A unified framework for solving inverse problems via diffusion posterior sampling,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Gaussian is all you need: A unified framework for solving inverse problems via diffusion posterior sampling,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.548513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d88e40-9015-49d8-b8a7-afc2f72b3d7b · outbound

This paper cites Generate images using diffu- sion,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Generate images using diffu- sion,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.677873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad71fc3-1069-41e1-b74f-7bf489848730 · outbound

This paper cites Super-resolution in map-making based on a physical instru- ment model and regularized inversion. Application to SPIRE/Herschel.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Super-resolution in map-making based on a physical instru- ment model and regularized inversion. Application to SPIRE/Herschel

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.795632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb2c82f-6c7e-4b88-9430-4586b35b1215 · outbound

This paper cites Bayesian texture and instrument parameter estimation from blurred and noisy images using MCMC,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Bayesian texture and instrument parameter estimation from blurred and noisy images using MCMC,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.959267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40896519-64a9-4d62-be7d-fd0accd46c18 · outbound

This paper cites Campisi and E.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Campisi and E

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:10.095438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1923a64a-77cc-4326-aaba-63f7b9a8a191 · outbound

This paper cites Estimation of instrument and noise parameters for inverse problem based on prior diffusion model,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Estimation of instrument and noise parameters for inverse problem based on prior diffusion model,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:10.137274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a04e2f7a-a635-4948-908c-382c0ac1b4ae · outbound

This paper cites Evalu- ating the posterior sampling ability of Plug&Play diffusion methods in sparse-view CT,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Evalu- ating the posterior sampling ability of Plug&Play diffusion methods in sparse-view CT,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:10.206066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814496f5-5af2-4bd6-be4b-da06d8b4ce88 · outbound

This paper cites On the posterior gap in plug & play diffusion methods for sparse- view computed tomography,.

A Gibbs posterior sampler for inverse problem based on prior diffusion model On the posterior gap in plug & play diffusion methods for sparse- view computed tomography,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:10.276315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8f532f-0869-4580-860c-221faefdd700 · outbound

This paper cites Think Twice Before You Act: Improving Inverse Problem Solving With MCMC.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Think Twice Before You Act: Improving Inverse Problem Solving With MCMC

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.014475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6528e64b-ca42-47a5-a5c9-e3ce94ca1274 · outbound

This paper cites Available: https://doi.org/10.1098/rsta.2024.0331.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Available: https://doi.org/10.1098/rsta.2024.0331

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.385442Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.