Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13677.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:39:16.997809Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:12:30.355452Z
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 82d3694d-7f49-44ce-aa3f-1d6b5829e50b · inbound
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection cites this paper.
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:21:49.539178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95d77c97-f8b0-4c2f-ab71-8eea14b5cd44 · inbound
Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models cites this paper.
Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:16.997809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12b6055c-ca59-4ab3-b061-077a3bf616de · inbound
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language cites this paper.
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
Reference 2019
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T15:12:30.358871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.