Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.03759.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T17:53:46.206401Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:39:29.436567Z
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 a64f5540-0a0e-4e1c-bd2a-8ea12f0097d5 · inbound
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models cites this paper.
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:01:03.914868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 31678b4b-e789-48b3-9f26-7e143fddb3ff · inbound
BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models cites this paper.
BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:39:29.439210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.