Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.05135.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:10:07.980613Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:42:33.626369Z
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 8fd47609-f8d6-45e6-ade1-6b8a7b246f75 · inbound
Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job Seekers' Fairness Concerns cites this paper.
Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job Seekers' Fairness Concerns Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:33.629334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c7bdb2a2-956a-4288-b199-a8da86ad078a · inbound
Who Gets the Callback? Generative AI and Gender Bias cites this paper.
Who Gets the Callback? Generative AI and Gender Bias Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:10:07.980613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c3e4e94-84fc-4cfb-a7d6-cc6684ddaa8e · inbound
Understanding Gender Bias in AI-Generated Product Descriptions cites this paper.
Understanding Gender Bias in AI-Generated Product Descriptions Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT
Reference 108
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:11:58.881357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e475ab92-b6f8-467a-a72a-29fb9e8b945b · inbound
The Biased Samaritan: LLM biases in Perceived Kindness cites this paper.
The Biased Samaritan: LLM biases in Perceived Kindness Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:14:11.382708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a463a63c-2419-4300-b893-c72d536602f5 · inbound
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights cites this paper.
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:38:56.289227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.