Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring large scale public medical image datasets
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.12720.
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 2026-08-14T05:27:22.433551Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:05:56.244632Z
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 b7f6359d-f5c3-4362-82a2-7fd6a68fb5e9 · inbound
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification cites this paper.
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification Exploring large scale public medical image datasets
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:27:22.433551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 570f0386-782f-4c59-bb6b-bb97e6990e8d · inbound
Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks cites this paper.
Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Exploring large scale public medical image datasets
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:05:56.247852Z
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 b432e8b0-4020-424d-a4a0-3cb6447bf5af · inbound
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification cites this paper.
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification Exploring large scale public medical image datasets
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:23:46.085099Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.