Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncovering Bias in Face Generation Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.11562.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:16:56.079932Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T09:07:47.548528Z
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 eaead999-e2fc-4c3f-9570-fb662350047e · inbound
SEMANTIC SEE-THROUGH GOGGLES: Wearing Linguistic Virtual Reality in (Artificial) Intelligence cites this paper.
SEMANTIC SEE-THROUGH GOGGLES: Wearing Linguistic Virtual Reality in (Artificial) Intelligence Uncovering Bias in Face Generation Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:16:56.079932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2887f5ef-11a1-4c01-863e-153b68425471 · inbound
CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models cites this paper.
CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models Uncovering Bias in Face Generation Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:46:51.535026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 827fb595-f0ca-46a5-bfe5-3d8ae3f242ea · inbound
Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks cites this paper.
Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks Uncovering Bias in Face Generation Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:07:47.550162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.