Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.13883.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:08.752363Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T13:19:14.837346Z
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 b00a6516-e7a2-48f9-bf67-f09db51ef672 · inbound
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression cites this paper.
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:09:08.752363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff716ad7-c7fa-40f7-b283-eca5c06d5b59 · inbound
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning cites this paper.
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:19:14.904630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.