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Paper Citation Record · LEDGER

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.18782.

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

pith.paper-citation-record.v1
2405.18782 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:10:54.827931Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

A Mixture-Based Framework for Guiding Diffusion Models cites this paper.

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

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T05:10:54.827931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:10:54.827931Z digest=sha256:d1d573e380c0c9fadd36f04e9924cbb7e9572f1144a622bf7d389036de6125e5

Observation e22168bd-5248-49c3-b913-ad029e2094e5 · inbound

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors cites this paper.

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T10:17:48.183456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:17:48.183456Z digest=sha256:0de1028f428cdbcc1faff2ba554cfe8d20f07487d783011b7892b8aab8d5a3b1

Observation ab78d4de-741c-4096-b3f0-202c96f6cd0f · inbound

Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines cites this paper.

Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-01T12:49:44.354749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-01T12:47:34.837098Z digest=sha256:b9b83787e8c88308298fdad19ed20b1e7942ecadda0b5d6e243542b0e0681e90