Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust and interpretable blind image denoising via bias-free convolutional neural networks
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1906.05478.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:58.739528Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T11:58:15.106660Z
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 d509808e-3b41-4338-807a-93f06b5f6c3d · inbound
Robustifying Fourier Features Embeddings for Implicit Neural Representations cites this paper.
Robustifying Fourier Features Embeddings for Implicit Neural Representations Robust and interpretable blind image denoising via bias-free convolutional neural networks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:15:58.739528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52150e8a-5cb6-40e1-8590-73a60c14eb8b · inbound
Generative Pseudo-Force Fields for Molecular Generation cites this paper.
Generative Pseudo-Force Fields for Molecular Generation Robust and interpretable blind image denoising via bias-free convolutional neural networks
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:58:15.108052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a347493b-2b67-46e9-b385-949175ccb380 · inbound
Toward a mechanistic understanding of inference in visual cortex and diffusion models cites this paper.
Toward a mechanistic understanding of inference in visual cortex and diffusion models Robust and interpretable blind image denoising via bias-free convolutional neural networks
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:40:49.128876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdf3563d-cc31-471e-ac87-d37f949b6841 · 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 Robust and interpretable blind image denoising via bias-free convolutional neural networks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:16:02.298923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.