Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A structured regression approach for evaluating model performance across intersectional subgroups
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.14893.
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 2026-08-06T23:35:05.955938Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:31:03.853506Z
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 5845fa59-aebc-41c3-9556-b7766ac9f4d8 · inbound
Critical Appraisal of Fairness Metrics in Clinical Predictive AI cites this paper.
Critical Appraisal of Fairness Metrics in Clinical Predictive AI A structured regression approach for evaluating model performance across intersectional subgroups
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:05.955938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a6a620-351b-41ab-a489-088416523f47 · inbound
FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition cites this paper.
FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition A structured regression approach for evaluating model performance across intersectional subgroups
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:31:03.858138Z
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.