Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2308.00755.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:59.468045Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T14:07:02.407703Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 81bcf871-5642-4881-ad09-15e9cc5c1dbf · inbound
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models The Bias Amplification Paradox in Text-to-Image Generation
Reference 47
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 The Bias Amplification Paradox in Text-to-Image Generation
Reference 34
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 The Bias Amplification Paradox in Text-to-Image Generation
Reference 19
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 The Bias Amplification Paradox in Text-to-Image Generation
Reference 196
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 The Bias Amplification Paradox in Text-to-Image Generation
Reference 28
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 The Bias Amplification Paradox in Text-to-Image Generation
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1825543b-c0ad-4389-a571-12bef5d70080 · inbound
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning The Bias Amplification Paradox in Text-to-Image Generation
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c44de37f-b2be-4e61-bb3d-08ca6895a10c · inbound
Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization The Bias Amplification Paradox in Text-to-Image Generation
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.