Paper Citation Record · LEDGER

TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.01261.

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

pith.paper-citation-record.v1
2312.01261 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:53.374493Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T18:37:35.346212Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 89f89f9c-7c3b-460f-b4f7-d020fa7fad33 · inbound

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion cites this paper.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.374493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaca4ffa-45e1-4303-b643-92574b064235 · inbound

BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models cites this paper.

BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:00.522825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32ce4642-f015-4255-b4f3-2b37ce3ce3de · 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 TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:01:03.932460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 177be3cc-776c-4136-a898-04583c072eaa · inbound

Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles cites this paper.

Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:37:35.349950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.