Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Measuring Gender and Racial Biases in Large Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.15281.
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 2026-08-07T15:20:02.607082Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T18:48:07.958519Z
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 2da4fb4f-01a3-49a4-bf5b-db08997de7c6 · inbound
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs cites this paper.
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs Measuring Gender and Racial Biases in Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:02.607082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3653b9d-a72e-4245-b416-dcf3cf7528c1 · inbound
FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes cites this paper.
FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Measuring Gender and Racial Biases in Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:54:05.419877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc0a3585-45aa-400c-838d-eacbb62a00c1 · inbound
Guiding LLM Decision-Making with Fairness Reward Models cites this paper.
Guiding LLM Decision-Making with Fairness Reward Models Measuring Gender and Racial Biases in Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:16:32.884393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccdd9d45-5eb3-40e8-9371-d5758912f6a2 · inbound
AI, Digital Platforms, and the New Systemic Risk cites this paper.
AI, Digital Platforms, and the New Systemic Risk Measuring Gender and Racial Biases in Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:56:30.843278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cfb6b34-288a-4fd8-8b55-0a482921150a · inbound
Sociodemographic Biases in Educational Counselling by Large Language Models cites this paper.
Sociodemographic Biases in Educational Counselling by Large Language Models Measuring Gender and Racial Biases in Large Language Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:48:07.959797Z
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 48eb9040-b2b0-4a36-820d-12e700890ae1 · inbound
Training Large Language Models for Self-Explanation Faithfulness cites this paper.
Training Large Language Models for Self-Explanation Faithfulness Measuring Gender and Racial Biases in Large Language Models
Reference 111
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:36:27.878269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.