Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Review of Mathematical frameworks for Fairness in Machine Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.13755.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:19:53.877085Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:49:51.935875Z
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 34edcbf3-de19-4758-8fb5-cf53bdebc001 · inbound
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone cites this paper.
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone Review of Mathematical frameworks for Fairness in Machine Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:19:53.877085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4b78f5f-9ee2-4538-8caa-7773c36c8617 · inbound
FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data cites this paper.
FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Review of Mathematical frameworks for Fairness in Machine Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:49:51.937510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.