Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1806.05452.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:10:47.643727Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T22:09:56.920762Z
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 09a78d29-9509-4d64-90bf-6ada5a2f95ff · inbound
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts cites this paper.
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:10:47.643727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56870415-8d2d-499f-91f8-5ef72ceea58c · inbound
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation cites this paper.
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:42:36.837751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8aef4cc-fa38-4ed4-94c2-c3e800b46fa8 · inbound
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence cites this paper.
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:09:56.985166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.