Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.13268.
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 2026-08-11T16:59:00.197639Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T13:19:15.359060Z
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 9e2ed152-05c6-4ed6-944c-0a272e693916 · inbound
Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals cites this paper.
Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:59:00.197639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57f5422e-e653-4f9a-97be-d4d5cd147729 · 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 Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
Reference 2009
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:09:06.931640Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41b3d2d6-a9f7-4510-9902-1e77c5fcab19 · 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 Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:19:15.442439Z
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.