Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.13278.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:09:05.806957Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:03:17.565065Z
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 b86f1de2-412b-4c6f-9455-13da7725eb79 · inbound
Navigating Image Restoration with VAR's Distribution Alignment Prior cites this paper.
Navigating Image Restoration with VAR's Distribution Alignment Prior Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:09:05.806957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 877d8f69-0608-4a06-be70-88c67e465cec · inbound
Joint Flow And Feature Refinement Using Attention For Video Restoration cites this paper.
Joint Flow And Feature Refinement Using Attention For Video Restoration Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:03:17.632913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7a02c0a7-e440-47a3-84fd-93a2f1b155e3 · inbound
Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising cites this paper.
Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:16:02.722738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.