Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient candidate screening under multiple tests and implications for fairness
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.11361.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:36:52.962127Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T16:39:26.954695Z
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 d3ba8f8c-dd13-4759-874e-51aa6625f3fd · inbound
A Survey on Bias and Fairness in Machine Learning cites this paper.
A Survey on Bias and Fairness in Machine Learning Efficient candidate screening under multiple tests and implications for fairness
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:36:52.962127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5877cd7b-6241-47e9-97cd-5c3512c0de6f · inbound
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset cites this paper.
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset Efficient candidate screening under multiple tests and implications for fairness
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T16:39:26.959194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 236350b5-8405-43ca-aca5-44c6b24772f7 · inbound
Analyzing Fairness of Computer Vision and Natural Language Processing Models cites this paper.
Analyzing Fairness of Computer Vision and Natural Language Processing Models Efficient candidate screening under multiple tests and implications for fairness
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:41:06.102134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.