Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.04720.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T13:53:30.973108Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:50:04.703241Z
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 04eef515-a8a2-444b-a713-e1292e6bf4ba · inbound
UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors cites this paper.
UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:27:36.940440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 59f0f9e9-d15b-4f63-9d13-db549a7b7ea8 · inbound
A Leakage-Aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection cites this paper.
A Leakage-Aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:50:04.704659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.