Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T09:26:37.995823Z
Paper Citation Record ยท LEDGER
When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning
As of 12 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 1 inbound Pith citation observation for arXiv:2604.15038.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T13:02:05.353377Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T13:03:25.871186Z
Reference resolution
1 of 1 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e9805c99-fc0c-4514-acd1-9b69f35a5928 ยท outbound
This paper cites โฆ,๐#} For each group ๐$โ๐ข, we compute a set of fairness metrics defined as: โณ={๐!,๐.
When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning โฆ,๐#} For each group ๐$โ๐ข, we compute a set of fairness metrics defined as: โณ={๐!,๐
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T09:29:57.902814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 6cba1a29-28a5-414d-af61-636cea56c0af ยท inbound
Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems cites this paper.
Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T13:03:25.872608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.