Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.20371.
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 2026-08-10T23:08:45.013758Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T14:50:05.173976Z
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 b56f97a4-27ab-4319-b62b-025adf577f81 · inbound
Towards Effective Discrimination Testing for Generative AI cites this paper.
Towards Effective Discrimination Testing for Generative AI Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:08:45.013758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7b8f764-1c15-45fd-b83a-08a9928ca485 · inbound
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts cites this paper.
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:40:01.722975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9ce9afb-0ae4-4f9a-a9f9-7f71a89f2d17 · inbound
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders cites this paper.
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:20:58.283493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10b14cf2-ed64-4967-9d04-c384d86bef6b · inbound
Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions cites this paper.
Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:43:44.111962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7e9e6de-f055-4920-b7c7-706cfd80ac19 · inbound
Making AI Evaluation Deployment Relevant Through Context Specification cites this paper.
Making AI Evaluation Deployment Relevant Through Context Specification Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:50:05.177124Z
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.