Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating stereotypical biases in text to image generative systems
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06904.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:04.542274Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:49:33.162873Z
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 f6e886b8-b33d-4677-b161-8ec6864e19a0 · inbound
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? cites this paper.
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? Mitigating stereotypical biases in text to image generative systems
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:01:04.542274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8600d47-a373-4cb9-89b6-35f72b174e14 · inbound
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models cites this paper.
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models Mitigating stereotypical biases in text to image generative systems
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:57.679725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ee7315d-1011-4b2d-9478-b001bf9db8f6 · inbound
Understanding and evaluating computer vision models through the lens of counterfactuals cites this paper.
Understanding and evaluating computer vision models through the lens of counterfactuals Mitigating stereotypical biases in text to image generative systems
Reference 106
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:49:33.176155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.