Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:52.772808Z
Paper Citation Record · LEDGER
Bias Analysis in Unconditional Image Generative Models
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2506.09106.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
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- verified fuzzy45
- unresolved12
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d080fa54-e1fc-460d-b302-41b86788291d · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Bias Analysis in Unconditional Image Generative Models LLaMA: Open and Efficient Foundation Language Models
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0cd3631-4fc8-47e7-ae41-80b5c2523d2a · outbound
This paper cites GPT-4 Technical Report.
Bias Analysis in Unconditional Image Generative Models GPT-4 Technical Report
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6932a01-17bd-4d60-854c-791e1137ea76 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Bias Analysis in Unconditional Image Generative Models Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d90dffe0-f5be-4b9e-8d20-fdd00cd90210 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
Bias Analysis in Unconditional Image Generative Models High-resolution image synthesis with latent diffusion models
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ea88e61-c8c7-4ffd-896d-4bac80aec153 · outbound
This paper cites Scaling rectified flow transformers for high-resolution im- age synthesis.
Bias Analysis in Unconditional Image Generative Models Scaling rectified flow transformers for high-resolution im- age synthesis
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation 6d5307c7-12bf-4565-ad4e-9fcdc1b02b66 · outbound
This paper cites Audiogen: Textually guided audio generation.
Bias Analysis in Unconditional Image Generative Models Audiogen: Textually guided audio generation
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a91de34-9229-409d-b139-2b32df4c9ddf · outbound
This paper cites Gritsenko, William Chan, Mohammad Norouzi, and David J.
Bias Analysis in Unconditional Image Generative Models Gritsenko, William Chan, Mohammad Norouzi, and David J
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ae6dc1a7-5cc9-4959-9825-769cb1614e50 · outbound
This paper cites Make- a-video: Text-to-video generation without text-video data.
Bias Analysis in Unconditional Image Generative Models Make- a-video: Text-to-video generation without text-video data
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1a98f323-ce62-4e7d-88eb-679bdd57ce23 · outbound
This paper cites Which ai image generator is the most biased?, 2023.
Bias Analysis in Unconditional Image Generative Models Which ai image generator is the most biased?, 2023
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bdd163c5-005c-4d16-a918-e402b3673016 · outbound
This paper cites These fake images reveal how ai amplifies our worst stereotypes, 2023.
Bias Analysis in Unconditional Image Generative Models These fake images reveal how ai amplifies our worst stereotypes, 2023
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a23ed419-3a47-4765-8577-be3986256be9 · outbound
This paper cites Zero-shot text-to-image generation.
Bias Analysis in Unconditional Image Generative Models Zero-shot text-to-image generation
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3ba38560-390c-40ee-8337-b8d2d5f80a76 · outbound
This paper cites DALL-EV AL: probing the reasoning skills and social biases of text-to-image generation models.
Bias Analysis in Unconditional Image Generative Models DALL-EV AL: probing the reasoning skills and social biases of text-to-image generation models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:58.090689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ad3bf8e-e8a0-48ca-8c4a-2523cd2a7ab0 · outbound
This paper cites Easily accessible text-to-image generation amplifies demographic stereotypes at large scale.
Bias Analysis in Unconditional Image Generative Models Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 95618af5-c41c-478b-a169-73d3fa0a20e5 · outbound
This paper cites Stable bias: Eval- uating societal representations in diffusion models.
Bias Analysis in Unconditional Image Generative Models Stable bias: Eval- uating societal representations in diffusion models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.873308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 61509f32-c96d-472b-8e2a-b6bdac86e582 · outbound
This paper cites Auditing and instructing text-to-image generation mod- els on fairness.
Bias Analysis in Unconditional Image Generative Models Auditing and instructing text-to-image generation mod- els on fairness
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 99997f5a-7e47-4433-8417-a089fdfe2ed3 · outbound
This paper cites The bias amplification paradox in text- to-image generation.
Bias Analysis in Unconditional Image Generative Models The bias amplification paradox in text- to-image generation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.639710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e34ed411-f108-413e-a4cb-36fab3fc629f · outbound
This paper cites Analyzing bias in diffusion-based face generation mod- els.
Bias Analysis in Unconditional Image Generative Models Analyzing bias in diffusion-based face generation mod- els
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.524552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c15c1161-0f05-47e8-acd7-fca4b0018560 · outbound
This paper cites LAION-5B: an open large-scale dataset for training next generation image-text models.
Bias Analysis in Unconditional Image Generative Models LAION-5B: an open large-scale dataset for training next generation image-text models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.407734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e2bf82cf-9435-4aff-ab54-b0d27c3854e1 · outbound
This paper cites Denoising diffusion probabilistic models.
Bias Analysis in Unconditional Image Generative Models Denoising diffusion probabilistic models
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.324693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 27d5b1a6-bde7-450b-8b84-396f5bd67985 · outbound
This paper cites Generative modeling by estimating gradients of the data dis- tribution.
Bias Analysis in Unconditional Image Generative Models Generative modeling by estimating gradients of the data dis- tribution
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.227418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cc41af28-613e-4e45-8a00-8b6024c41d11 · outbound
This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C.
Bias Analysis in Unconditional Image Generative Models Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:57.101413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5b432fbf-a0a9-4288-a62a-9ddf498a5f32 · outbound
This paper cites Large scale GAN training for high fidelity natural image synthesis.
Bias Analysis in Unconditional Image Generative Models Large scale GAN training for high fidelity natural image synthesis
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:56.978410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c6ead141-213c-4542-b26b-8ef22afbcf05 · outbound
This paper cites Classifier-Free Diffusion Guidance.
Bias Analysis in Unconditional Image Generative Models Classifier-Free Diffusion Guidance
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bb3c8a8-f2aa-442d-b607-9f8a68a5187f · outbound
This paper cites Guiding a diffusion model with a bad version of itself.
Bias Analysis in Unconditional Image Generative Models Guiding a diffusion model with a bad version of itself
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:56.860695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation febcf871-c0d0-40d5-9ff5-71cf81651b66 · outbound
This paper cites A brief review on algorithmic fairness.
Bias Analysis in Unconditional Image Generative Models A brief review on algorithmic fairness
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:56.739829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e37df626-75f8-41f3-bf64-05dfca204a55 · outbound
This paper cites Finetuning text-to-image diffusion models for fairness.
Bias Analysis in Unconditional Image Generative Models Finetuning text-to-image diffusion models for fairness
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:56.630064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d01e7161-9098-4699-b724-56830656c73f · outbound
This paper cites On Fairness of Unified Multimodal Large Language Model for Image Generation.
Bias Analysis in Unconditional Image Generative Models On Fairness of Unified Multimodal Large Language Model for Image Generation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:03:52.937002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e282bd30-fb08-48e9-a444-19dffb60d36e · outbound
This paper cites Deep learning face attributes in the wild.
Bias Analysis in Unconditional Image Generative Models Deep learning face attributes in the wild
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3ff7ba4-a32f-4266-a1b3-fe932835ffa4 · outbound
This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.
Bias Analysis in Unconditional Image Generative Models Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:56.508000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4c4cccc8-1c64-4882-873e-cee262d0c9b8 · outbound
This paper cites mindall-e on conceptual captions.
Bias Analysis in Unconditional Image Generative Models mindall-e on conceptual captions
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e52962d9-36e0-496b-8c0d-2ad9ec6bb30e · outbound
This paper cites Karlo-v1.0.alpha on coyo-100m and cc15m.
Bias Analysis in Unconditional Image Generative Models Karlo-v1.0.alpha on coyo-100m and cc15m
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06ddafd0-ba37-4af2-8fe2-c31c8715b507 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Bias Analysis in Unconditional Image Generative Models Learning transferable visual models from natural language supervision
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation afeb9cc2-51a0-4fd6-aa93-bd7f4617150f · outbound
This paper cites an unresolved cited work.
Bias Analysis in Unconditional Image Generative Models Unresolved cited work
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3311b414-f7a6-4b88-b851-f120de283fed · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Bias Analysis in Unconditional Image Generative Models An image is worth 16x16 words: Transformers for image recognition at scale
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:55.825883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9ad91b6a-ead2-46f6-b9d3-bac703042159 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Bias Analysis in Unconditional Image Generative Models On the Opportunities and Risks of Foundation Models
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65efc815-def5-47b3-bd8e-58b859ec1c98 · outbound
This paper cites CLIP the bias: How useful is balancing data in multimodal learning? In The Twelfth International Conference on Learning Representations.
Bias Analysis in Unconditional Image Generative Models CLIP the bias: How useful is balancing data in multimodal learning? In The Twelfth International Conference on Learning Representations
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8049fe52-0ae1-45b8-8596-f3baea646aaa · outbound
This paper cites Fairness definitions explained.
Bias Analysis in Unconditional Image Generative Models Fairness definitions explained
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:55.573875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 76e7dddb-8611-49d8-a0e4-de829ec47171 · outbound
This paper cites an unresolved cited work.
Bias Analysis in Unconditional Image Generative Models Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:03:55.448307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 80e5e66d-1b92-4176-8813-4814cea9a292 · outbound
This paper cites Diffusion models beat gans on image synthe- sis.
Bias Analysis in Unconditional Image Generative Models Diffusion models beat gans on image synthe- sis
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:55.295833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9066b014-ed6a-42e9-873a-42039d567626 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Bias Analysis in Unconditional Image Generative Models U-net: Convolutional networks for biomedical image segmentation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:55.184878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1014477b-a86b-4f4a-b82a-35207457f56a · outbound
This paper cites Girshick, Piotr Doll ´ar, Zhuowen Tu, and Kaiming He.
Bias Analysis in Unconditional Image Generative Models Girshick, Piotr Doll ´ar, Zhuowen Tu, and Kaiming He
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:55.083685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 40147fa7-e87b-4b8f-aba3-375b1cec90a1 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
Bias Analysis in Unconditional Image Generative Models Swin transformer: Hierarchical vision transformer using shifted windows
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:54.970343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 94d31a75-6632-4d0e-87cc-0552c65e48cf · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
Bias Analysis in Unconditional Image Generative Models Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:54.821912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c81deaa3-334d-4b29-90db-06bb0cc68bb8 · outbound
This paper cites Sutherland, Michael Arbel, and Arthur Gretton.
Bias Analysis in Unconditional Image Generative Models Sutherland, Michael Arbel, and Arthur Gretton
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:54.725739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 84d6ba0c-bbfc-4f1f-b453-fa2b1ca36760 · outbound
This paper cites Feature likelihood score: Evaluating the generalization of generative models using samples.
Bias Analysis in Unconditional Image Generative Models Feature likelihood score: Evaluating the generalization of generative models using samples
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:54.617306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a565162c-9bf4-49fb-ab58-8d532fad80df · outbound
This paper cites an unresolved cited work.
Bias Analysis in Unconditional Image Generative Models Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:03:54.475079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7422b46e-6999-4d54-bab3-1a0f667aac03 · outbound
This paper cites an unresolved cited work.
Bias Analysis in Unconditional Image Generative Models Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:03:54.331214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87354cbd-c21e-4ee0-be36-8ccd9e6ba6c7 · outbound
This paper cites Wasserstein generative adversarial net- works.
Bias Analysis in Unconditional Image Generative Models Wasserstein generative adversarial net- works
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:54.188006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 77b6b737-3e2c-4cb5-a07c-385cf0049fad · outbound
This paper cites Big data’s disparate impact.
Bias Analysis in Unconditional Image Generative Models Big data’s disparate impact
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:54.070050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation da0d2491-cdb5-46f4-8622-561569b1bac7 · outbound
This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classification.
Bias Analysis in Unconditional Image Generative Models Gender shades: Intersectional accuracy disparities in commercial gender classification
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:03:52.204826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9e80876-1bfc-4388-9ceb-f44bb9cbdfdc · outbound
This paper cites Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products.AAAI/ACM Conference on AI, Ethics, and Society, 2019.
Bias Analysis in Unconditional Image Generative Models Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products.AAAI/ACM Conference on AI, Ethics, and Society, 2019
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.949638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation baf5b323-e764-4ded-83ea-ffe1470e7a3e · outbound
This paper cites Auditing al- gorithms: Research methods for detecting discrimination on internet platforms.
Bias Analysis in Unconditional Image Generative Models Auditing al- gorithms: Research methods for detecting discrimination on internet platforms
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.825925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 110b5182-0982-491b-b9bb-391c114881ce · outbound
This paper cites Paul, and Jed R.
Bias Analysis in Unconditional Image Generative Models Paul, and Jed R
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.709967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 84f7e0f7-7833-4b59-b3f0-9a5000f0759a · outbound
This paper cites Datasheets for datasets, 2021.
Bias Analysis in Unconditional Image Generative Models Datasheets for datasets, 2021
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.588675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cbc14219-cddb-432c-ab5a-b313594e240e · outbound
This paper cites Improved denoising diffusion probabilistic models.
Bias Analysis in Unconditional Image Generative Models Improved denoising diffusion probabilistic models
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.454996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a0b0c42-71b9-4643-ac10-a38730c3c157 · outbound
This paper cites Denoising diffusion implicit models.
Bias Analysis in Unconditional Image Generative Models Denoising diffusion implicit models
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.316808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 95ecc1dd-d11f-4576-8c53-a7c397f357f8 · outbound
This paper cites Men also like shopping: Reducing gender bias amplification using corpus-level constraints.
Bias Analysis in Unconditional Image Generative Models Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:03:53.215221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b0bf9a9-da8d-445e-a7b1-b7f337e625d2 · outbound
This paper cites A Systematic Study of Bias Amplification.
Bias Analysis in Unconditional Image Generative Models A Systematic Study of Bias Amplification
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:03:52.705323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c767686b-af06-49d2-8202-3d8c913cd3ef · outbound
This paper cites Consistency and accuracy of celeba attribute values.
Bias Analysis in Unconditional Image Generative Models Consistency and accuracy of celeba attribute values
Reference 59
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T05:03:53.108806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.