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Paper Citation Record · LEDGER

Diffusion Model for Generative Image Denoising

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.02398.

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

pith.paper-citation-record.v1
2302.02398 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:41:15.408779Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:16:39.580526Z

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 af14117f-dfd4-4ec2-a183-23e0181888b8 · inbound

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation cites this paper.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Diffusion Model for Generative Image Denoising

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T23:41:15.408779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:41:15.408779Z digest=sha256:2a147283902675a3f14d7e1b95edfd79ae622283460a920bc9dc12e871bfdfad

Observation c3de83ca-d27f-4278-b7e3-8fb7138e88a3 · inbound

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction cites this paper.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Diffusion Model for Generative Image Denoising

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:59:48.962165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:59:48.962165Z digest=sha256:6269cb4099088508f47cf1a08c1b900b32e223a38aae42c5ec779f78473e1127

Observation 9ba7fd90-ebfc-49c4-bc45-b10702eef98a · inbound

Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction cites this paper.

Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction Diffusion Model for Generative Image Denoising

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:53.295007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:18:53.295007Z digest=sha256:580b21eb57de5ffb83c13c29b0942212b453b39b326860e1ebd7cf3d939e76cb

Observation a0b0dbe0-c244-40f2-8527-749a89bcd579 · inbound

Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation cites this paper.

Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation Diffusion Model for Generative Image Denoising

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:16:39.583805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T17:15:08.543454Z digest=sha256:e8636f3dc6821e34c9d0524a7faad78131a14164850b587c5be83f2c92d9af7d

Observation 563f06df-79bf-4424-be2e-392101dc6937 · inbound

Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation cites this paper.

Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation Diffusion Model for Generative Image Denoising

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T16:51:40.836392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:51:40.836392Z digest=sha256:0528f1ca52dbc0a48d81988b8bf7f96fbc1ac8c307b84534209483cadc5dfdfe

Observation 2731f839-e06e-4ff1-acfd-f1864e7b3990 · inbound

$\gamma$-Bridge: A Look-Parametric Diffusion Bridge cites this paper.

$\gamma$-Bridge: A Look-Parametric Diffusion Bridge Diffusion Model for Generative Image Denoising

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T12:40:13.832758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:40:13.832758Z digest=sha256:a107af43f0a740a5fcae30d24caf7f9961900a7c3ea86bf5adfef955fbf2e465