Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Bias Amplification Paradox in Text-to-Image Generation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2308.00755.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:05:50.830411Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T14:07:02.407703Z
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 71b24fa4-0644-454f-9381-ccbfa807af61 · inbound
T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation cites this paper.
T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation The Bias Amplification Paradox in Text-to-Image Generation
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:05:50.830411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a712c181-85f7-4541-a3cb-c75829ece79a · inbound
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? cites this paper.
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? The Bias Amplification Paradox in Text-to-Image Generation
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:01:04.732422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81bcf871-5642-4881-ad09-15e9cc5c1dbf · inbound
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models cites this paper.
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models The Bias Amplification Paradox in Text-to-Image Generation
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:59.468045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55de9e57-6f95-456b-910f-ce727a6acfcc · inbound
VideoGuard: Protecting Video Content from Unauthorized Editing cites this paper.
VideoGuard: Protecting Video Content from Unauthorized Editing The Bias Amplification Paradox in Text-to-Image Generation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:27:06.007003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43af72db-905f-4b45-bd6a-33782115452d · inbound
Inference Time Debiasing Concepts in Diffusion Models cites this paper.
Inference Time Debiasing Concepts in Diffusion Models The Bias Amplification Paradox in Text-to-Image Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:47:20.813846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69b46adf-5dd1-4907-b5e0-6b9d8abb7b90 · inbound
Understanding and evaluating computer vision models through the lens of counterfactuals cites this paper.
Understanding and evaluating computer vision models through the lens of counterfactuals The Bias Amplification Paradox in Text-to-Image Generation
Reference 196
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:49:31.738335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba96c041-587e-491f-9442-7c5ec5b81594 · inbound
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations cites this paper.
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations The Bias Amplification Paradox in Text-to-Image Generation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:56.907024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aefcc969-9ed5-40df-9a0b-63fb8dc5276d · inbound
T2I-BiasBench: A Multi-Metric Framework for Auditing Demographic and Cultural Bias in Text-to-Image Models cites this paper.
T2I-BiasBench: A Multi-Metric Framework for Auditing Demographic and Cultural Bias in Text-to-Image Models The Bias Amplification Paradox in Text-to-Image Generation
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:11:14.963806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1825543b-c0ad-4389-a571-12bef5d70080 · inbound
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning cites this paper.
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning The Bias Amplification Paradox in Text-to-Image Generation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T15:08:24.772390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c44de37f-b2be-4e61-bb3d-08ca6895a10c · inbound
Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization cites this paper.
Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization The Bias Amplification Paradox in Text-to-Image Generation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T14:07:02.409471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.