Paper Citation Record · LEDGER

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.12343.

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

pith.paper-citation-record.v1
2211.12343 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:25:39.442475Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:25:54.715090Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c433dfcb-0991-4e8b-876e-941f92d0481a · inbound

An Unconditional Representation of the Conditional Score in Infinite-Dimensional Linear Inverse Problems cites this paper.

An Unconditional Representation of the Conditional Score in Infinite-Dimensional Linear Inverse Problems Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:25:54.718181Z

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.

Observation ad10db44-0561-47b0-ae85-741ee5e3f0b4 · inbound

Efficient Burst Super-Resolution with One-step Diffusion cites this paper.

Efficient Burst Super-Resolution with One-step Diffusion Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:39.442475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0698b98-02e8-4857-aee4-7b2037e41555 · inbound

Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations cites this paper.

Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:36:01.582179Z

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.

Observation 0719791a-e601-4161-87e3-964ab113ec41 · inbound

Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Model cites this paper.

Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Model Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:47.449537Z

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.

Observation 505afc7a-1e15-4fa2-97cb-23bde35610ac · inbound

Couple to Control: Joint Initial Noise Design in Diffusion Models cites this paper.

Couple to Control: Joint Initial Noise Design in Diffusion Models Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:06.509143Z

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.

Observation c75553c3-a819-4a1f-8ee9-e558c744cfb6 · inbound

Proximal-Based Generative Modeling for Bayesian Inverse Problems cites this paper.

Proximal-Based Generative Modeling for Bayesian Inverse Problems Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:57:33.475578Z

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.

Observation 74121a24-fc9b-42d5-ae19-87c6ae36e94b · inbound

Mixture-of-Experts Diffusion Models for Adaptive Massive MIMO Channel Estimation via Variational Bayesian Inference cites this paper.

Mixture-of-Experts Diffusion Models for Adaptive Massive MIMO Channel Estimation via Variational Bayesian Inference Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:22:53.811396Z

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.

Observation 3721b8e8-3f9e-45c7-be2e-1473993ef70f · inbound

Diffusion-Based Noise-Adaptive Null-Space Channel Estimation for OFDM Systems cites this paper.

Diffusion-Based Noise-Adaptive Null-Space Channel Estimation for OFDM Systems Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T03:07:18.806932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.