Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.14875.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:59:06.783735Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:38:44.490458Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 02cef43a-59f8-4e1c-8bd5-cdef89e1bb49 · inbound
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
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 894d3775-e990-48ae-bdb4-2127c53fdeaa · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ca931d3-e4ae-4e5e-8377-237ae79ab288 · inbound
The Biased Samaritan: LLM biases in Perceived Kindness What's in a Name? Auditing Large Language Models for Race and Gender Bias
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 What's in a Name? Auditing Large Language Models for Race and Gender Bias
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5586391a-ffc8-4cd1-abe8-ac1e6567987d · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dd3c2ac-8104-4acd-9bff-412a554e02b4 · inbound
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
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 63c9fd4a-5c50-40d5-a450-f9fca8351f20 · inbound
AgentFairBench: Do LLM Agents Discriminate When They Act? What's in a Name? Auditing Large Language Models for Race and Gender Bias
Reference 16
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 099ae22b-bd0e-4f57-bb2a-6e78e15ef53f · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.