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Paper Citation Record · LEDGER

What's in a Name? Auditing Large Language Models for Race and Gender Bias

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.14875.

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

pith.paper-citation-record.v1
2402.14875 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:42:07.364273Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T17:38:44.490458Z

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 02cef43a-59f8-4e1c-8bd5-cdef89e1bb49 · inbound

Fairness Testing of Large Language Models in Role-Playing cites this paper.

Fairness Testing of Large Language Models in Role-Playing What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:18:18.013546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T18:17:48.254907Z digest=sha256:0d9497b2b0987845ab45cb608eadca255cdf1b1831b3336307c72f93570594b7

Observation 909fe9c3-7d6b-4654-aafb-b02e295472c9 · inbound

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies cites this paper.

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T11:42:07.364273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:42:07.364273Z digest=sha256:f352b3905517c6bf750e59fb3380046a363d5bb119056ab7b723aba7b2cdc5f2

Observation 894d3775-e990-48ae-bdb4-2127c53fdeaa · inbound

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning cites this paper.

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:06.783735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:59:06.783735Z digest=sha256:b9524723771a37c8461bcf376f78f504f36605663d11061cbde47a5cb6dfaf5f

Observation 9ca931d3-e4ae-4e5e-8377-237ae79ab288 · inbound

The Biased Samaritan: LLM biases in Perceived Kindness cites this paper.

The Biased Samaritan: LLM biases in Perceived Kindness What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:14:11.244635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:14:11.244635Z digest=sha256:0766168e7837f1626ba13002543df7a847d38bddcec4383c0defb87322628ad9

Observation 289b76c3-a990-4e67-a424-4ebd85d9426f · inbound

A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies cites this paper.

A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:31.671329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:31.671329Z digest=sha256:7cecf5509552af09958fde3a4a117d0be46608b69597468f5b9481399034bbc1

Observation 5586391a-ffc8-4cd1-abe8-ac1e6567987d · inbound

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening cites this paper.

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:41.594261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:41.594261Z digest=sha256:f6d49ab56b9ba10a737e79ae9cbce909bc995579f3a0a66ad23f6c219b50c825

Observation 8dd3c2ac-8104-4acd-9bff-412a554e02b4 · inbound

Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models cites this paper.

Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:06:45.820333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T19:04:17.875147Z digest=sha256:fd6d14fb37460d6fcc620765d221b4859b422e643880d18f734fba2e60539e32

Observation 63c9fd4a-5c50-40d5-a450-f9fca8351f20 · inbound

AgentFairBench: Do LLM Agents Discriminate When They Act? cites this paper.

AgentFairBench: Do LLM Agents Discriminate When They Act? What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:44.491719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T03:53:38.554457Z digest=sha256:db819c116120849cec33531c837ea06e61f2e108a41434e0bd8a0b98e8a6971c

Observation 099ae22b-bd0e-4f57-bb2a-6e78e15ef53f · inbound

FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation cites this paper.

FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation What's in a Name? Auditing Large Language Models for Race and Gender Bias

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T17:02:01.113176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:02:01.113176Z digest=sha256:41aac39c94875d346430188e44af4cf97adf1c3da3b7cfec11e818fd645f6ac7