Paper Citation Record · LEDGER

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.13780.

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

pith.paper-citation-record.v1
2506.13780 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:49.496310Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact3
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2087ac71-34cb-49bc-a752-04548b7eff98 · outbound

This paper cites DALL-E-3: Improving Image Genera- tion with Better Captions.Computer Science, 2023.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models DALL-E-3: Improving Image Genera- tion with Better Captions.Computer Science, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:55.771888Z

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 adf400f8-12b2-4843-b807-2278b17434be · outbound

This paper cites Stereotyping Norwegian salmon: An inventory of pitfalls in fairness benchmark datasets.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Stereotyping Norwegian salmon: An inventory of pitfalls in fairness benchmark datasets

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:55.545329Z

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 4fffde67-8d9d-46e3-a391-39b8b1e37295 · outbound

This paper cites Generating In- terior Design from Text: A New Diffusion Model-Based Method for Efficient Creative Design.Buildings, 2023.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Generating In- terior Design from Text: A New Diffusion Model-Based Method for Efficient Creative Design.Buildings, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:55.302668Z

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 c47d0990-b288-4aa4-ac10-99eea20427f3 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:45.506127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf7f9d0-81b8-4eaf-83b5-6388467d82f6 · outbound

This paper cites an unresolved cited work.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:54.926274Z

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 b2312f8d-3e35-40db-bd73-f012de06fdc1 · outbound

This paper cites Dall-eval: Probing the Reasoning Skills and Social Biases of Text-to- Image Generation Models.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Dall-eval: Probing the Reasoning Skills and Social Biases of Text-to- Image Generation Models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:54.550873Z

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 16e96443-51c4-4159-b463-9b84bf57979b · outbound

This paper cites Publications Office of the European Union, 2024.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Publications Office of the European Union, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:54.203729Z

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 9b363537-b151-49d5-9926-f06a9abbc67f · outbound

This paper cites Beat Biden.https://www.youtube.com/ watch?v=kLMMxgtxQ1Y&t=32s, 2023.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Beat Biden.https://www.youtube.com/ watch?v=kLMMxgtxQ1Y&t=32s, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:53.845766Z

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 b2efd128-5a4c-47fd-a056-d5d2b2ce7691 · outbound

This paper cites Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models.CVPR,.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models.CVPR,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:53.531010Z

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 eac51ad2-b3a2-4c42-a843-ce65a181ddb5 · outbound

This paper cites Exploring text- to-image generation models: Applications and cloud re- source utilization.Elsevier Computers and Electrical En- gineering, 123, 2025.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Exploring text- to-image generation models: Applications and cloud re- source utilization.Elsevier Computers and Electrical En- gineering, 123, 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:53.210106Z

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 bc103f2f-f482-4d76-b474-e29ba8b8015b · outbound

This paper cites an unresolved cited work.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:52.881361Z

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 5f04c650-5294-4134-8118-4dcda75b44ee · outbound

This paper cites Flux.https://github.com/ black-forest-labs/flux, 2024.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Flux.https://github.com/ black-forest-labs/flux, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:46.551534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b5a48b9-1dad-4f32-b92c-98c5c4cc42ef · outbound

This paper cites StoryGAN: A Sequential Conditional GAN for Story Visualization .CVPR, 2019.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models StoryGAN: A Sequential Conditional GAN for Story Visualization .CVPR, 2019

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:52.603739Z

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 76e4e7cf-cacf-4874-85a2-d088f83989b1 · outbound

This paper cites Stable Bias: Analyzing So- cietal Representations in Diffusion Models.NeurIPS, 2023.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Stable Bias: Analyzing So- cietal Representations in Diffusion Models.NeurIPS, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:52.370461Z

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 b61c2f15-b58a-41ca-a2bc-0c1b0e8746f2 · outbound

This paper cites Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:50.493405Z

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 7ebd4369-b516-446f-a82a-21df7d682f7d · outbound

This paper cites Social Biases Through the Text-to-Image Generation Lens.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Social Biases Through the Text-to-Image Generation Lens

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:52.145821Z

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 3376db4b-21b6-4353-b1c2-1af61057ab30 · outbound

This paper cites Multilingual Diversity Improves Vision- Language Representations.arXiv:2405.16915, 2024.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Multilingual Diversity Improves Vision- Language Representations.arXiv:2405.16915, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:47.312221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c07f904-05bf-44f8-8454-c3b8a9db4101 · outbound

This paper cites Modelling agency — deep agency.https: //www.deepagency.com/, 2024.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Modelling agency — deep agency.https: //www.deepagency.com/, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:51.880053Z

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 0a5deceb-c1a8-4ccd-b77b-52059706fb81 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:47.704181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33cc47d4-4bca-4689-afcf-34ac1b8194c1 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models .CVPR, 2022.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models High-Resolution Image Synthesis with Latent Diffusion Models .CVPR, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:51.610855Z

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 40af2bab-2b73-408e-bff0-b227a85c3236 · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:48.062767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 250fe001-f0ac-4af8-8f0e-d21604a353d3 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:48.198002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a285c19-94cb-4ca2-8080-5e0f4bfaff40 · outbound

This paper cites Agonistic Image Generation: Unsettling the Hegemony of Intention.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Agonistic Image Generation: Unsettling the Hegemony of Intention

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:50.166668Z

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 094c1961-602d-4364-b6aa-021c6f1a675d · outbound

This paper cites ReStGAN: A step towards visually guided shopper experi- ence via text-to-image synthesis.WACV, 2020.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models ReStGAN: A step towards visually guided shopper experi- ence via text-to-image synthesis.WACV, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:51.332112Z

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 f4c40c16-05fe-4f37-ad0e-1ad00e6fe0c5 · outbound

This paper cites Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:48.701262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e22b07-6dcf-4eb0-b37e-ac974835674d · outbound

This paper cites Fleet, Radu Soricut, Jason Baldridge, Mo- hammad Norouzi, Peter Anderson, and William Chan.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Fleet, Radu Soricut, Jason Baldridge, Mo- hammad Norouzi, Peter Anderson, and William Chan

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:51.088035Z

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 71441a20-6cee-412c-a4c4-a789a5568f53 · outbound

This paper cites Semantic and Expressive Variation in Image Captions Across Languages.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Semantic and Expressive Variation in Image Captions Across Languages

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:49.092883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d7044e-a27d-4759-a523-8f329031243b · outbound

This paper cites Text-to-Image Synthesis: A Decade Survey.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Text-to-Image Synthesis: A Decade Survey

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:49.820582Z

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 31498d73-23eb-467d-9156-2905fd3d91df · outbound

This paper cites SINE: SINgle Image Editing with Text-to-Image Diffusion Models.CVPR, 2022.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models SINE: SINgle Image Editing with Text-to-Image Diffusion Models.CVPR, 2022

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:50.825360Z

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.

Pith citing papers

No inbound Pith citation observations are available.