Paper Citation Record · LEDGER

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.06310.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.06310 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:19:38.824654Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T10:40:00.725985Z

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 d8dd5ef3-fb54-4dd9-a304-c9c7657961a8 · inbound

Evaluating Generative AI Systems is a Social Science Measurement Challenge cites this paper.

Evaluating Generative AI Systems is a Social Science Measurement Challenge ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:12:55.160667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9733246a-6e9c-44cd-8f52-6200c8ff7e5a · inbound

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models cites this paper.

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-12T16:22:44.181858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a576944-12fe-48f4-83ef-d23c15dade2f · inbound

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario cites this paper.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.824654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71393568-2566-40bc-bd33-0bd89518c80c · inbound

Customize Multi-modal RAI Guardrails with Precedent-based predictions cites this paper.

Customize Multi-modal RAI Guardrails with Precedent-based predictions ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.356132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 287c0b32-5032-46e6-b472-85d5857dc51a · inbound

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics cites this paper.

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:03:20.114453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dab4f0b4-02a6-4668-a6bf-590282a17ab7 · inbound

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics cites this paper.

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:40:00.727795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.