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Paper Citation Record · LEDGER

Word-Level Explanations for Analyzing Bias in Text-to-Image Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.05500.

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

pith.paper-citation-record.v1
2306.05500 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:51.300393Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:25:28.137278Z

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 35125cbd-eec4-49a7-bf3e-66472725cd23 · inbound

Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions cites this paper.

Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions Word-Level Explanations for Analyzing Bias in Text-to-Image Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:51.300393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:51.300393Z digest=sha256:405120407192533e43fbb4d5450a671ca79f59a707f577cea9c25443ec25bb44

Observation 02170d03-b9a9-48b0-9946-3de063dc4f0b · inbound

Effectively obtaining acoustic, visual and textual data from videos cites this paper.

Effectively obtaining acoustic, visual and textual data from videos Word-Level Explanations for Analyzing Bias in Text-to-Image Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T05:01:36.805782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:01:36.805782Z digest=sha256:4dd0039634eaaf56f5ba65349416362171e32a42cfc78cfadfcdf5e8d24106ee

Observation d24a96c5-b7d6-4c71-ab90-f8bde6247612 · inbound

Testing chatbots on the creation of encoders for audio conditioned image generation cites this paper.

Testing chatbots on the creation of encoders for audio conditioned image generation Word-Level Explanations for Analyzing Bias in Text-to-Image Models

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:25:28.146878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T21:25:26.959197Z digest=sha256:d416bad67c9834ce7da7f86f9fa1ca94b722ae33c5303decc0f802c5c3d49706