Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Auditing and Achieving Intersectional Fairness in Classification Problems
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.01468.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:26.236713Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:41:25.525931Z
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 5ff42ee2-d7e4-4f5e-b131-e0ab9f9ef887 · inbound
Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective cites this paper.
Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Auditing and Achieving Intersectional Fairness in Classification Problems
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:01:05.598391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6ba9cf3-9642-454e-90aa-470d1e35f03c · inbound
Intersectional Divergence: Measuring Fairness in Regression cites this paper.
Intersectional Divergence: Measuring Fairness in Regression Auditing and Achieving Intersectional Fairness in Classification Problems
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:46:26.236713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83440291-5e34-47bf-b988-d06239ba6f95 · inbound
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI cites this paper.
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI Auditing and Achieving Intersectional Fairness in Classification Problems
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:41:25.530909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.