Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11089.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:55.731804Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:20:54.817833Z
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 58b5db8f-a5bc-4ad5-99ae-bff39058ff13 · inbound
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions cites this paper.
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:52:55.731804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a579ad26-13ba-4d8d-a078-2235baabcb9f · inbound
Adultification Bias in LLMs and Text-to-Image Models cites this paper.
Adultification Bias in LLMs and Text-to-Image Models The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:42:53.508141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7d012b9-1491-477f-935b-79d0d35bfb57 · inbound
Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models cites this paper.
Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:20:54.819004Z
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.