Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.19699.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:15:47.850333Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:31:02.974769Z
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 be7ae0c5-2bb1-4739-a34f-2cbba78b1708 · inbound
Better Together: Quantifying the Benefits of AI-Assisted Recruitment cites this paper.
Better Together: Quantifying the Benefits of AI-Assisted Recruitment Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:15:47.850333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 020c6222-dcb8-453f-ae33-537d89b6149e · inbound
Reading Between the Lines: Classifying Resume Seniority with Large Language Models cites this paper.
Reading Between the Lines: Classifying Resume Seniority with Large Language Models Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:30:40.612410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b69f58ad-bd91-409c-bc8d-2a66e8dc0c92 · inbound
Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study cites this paper.
Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:31:02.980990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.