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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.05135.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.05135 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:11:58.881357Z

measured 0 of 1 external citation measurements

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 2026-08-07T06:34:17.273281+00:00.

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.