Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.15887.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:59:48.975657Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bbfcd31d-7862-4db6-bfc8-5314d456a170 · 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 Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:59:48.975657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 459fde7b-e942-477e-affe-0137dcc76158 · inbound
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction cites this paper.
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:11.966211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61fbb5cb-1271-4f67-8808-49fef2ff3812 · inbound
Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction cites this paper.
Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T19:01:08.319893Z
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.