Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.00983.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:43:37.862148Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
4
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5b0443bf-b4da-43f4-96bf-d2326fb8a433 · inbound
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification cites this paper.
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:43:37.862148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae98679f-f7b0-453e-80dd-8a41005ee342 · inbound
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective cites this paper.
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:23:21.860879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 270b7cd8-08ef-44b5-a016-834e8b62d32b · inbound
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset cites this paper.
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T10:18:27.456263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.