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Paper Citation Record · LEDGER

OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.07990.

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

pith.paper-citation-record.v1
2404.07990 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:27.458273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:01:03.858727Z

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 f21ee72e-13af-4ca6-9a83-c317f6e3f887 · inbound

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models cites this paper.

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:27.458273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:27.458273Z digest=sha256:b49f8add9a6632618b544af3ab08aaa2ab56d74d106698ae62451f6e29a92744

Observation 42a0934a-c630-4bf3-bfb9-a22f150a88bf · 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 OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:01:03.862739Z

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.

source=pdf_text observed=2026-05-09T23:48:37.948835Z digest=sha256:1c2fbaeb61e8744f8d393f0a3f2515fdd266e69009d9d92a545965166ea83960