Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.00993.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:26.229467Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:41:02.536202Z
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 2fbb4bb4-9ef0-4e4d-b0bb-93a901d5130d · inbound
Intersectional Divergence: Measuring Fairness in Regression cites this paper.
Intersectional Divergence: Measuring Fairness in Regression Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:46:26.229467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9e0d672-5ef7-4625-b64f-d7872a9d40a6 · inbound
Investigating Bias and Fairness in Appearance-based Gaze Estimation cites this paper.
Investigating Bias and Fairness in Appearance-based Gaze Estimation Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:41:02.541350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.