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Paper Citation Record · LEDGER

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 4 inbound Pith citation observations for arXiv:2510.20042.

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

pith.paper-citation-record.v1
2510.20042 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:37:10.933024Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:36:56.969680Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:08:07.013738Z

Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation ba6caa5c-49f8-446e-8260-4f5ae7f1c56e · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Photorealistic text-to- image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 1

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Observation 61051a81-17a8-4cdb-b1ce-53080833ddd3 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Scaling rectified flow transformers for high-resolution image synthesis

Reference 2

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Observation fa7ccaab-db49-47d0-8ce7-46305e917230 · outbound

This paper cites A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images

Reference 3

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source=pdf_text observed=2026-08-04T08:37:07.590141Z digest=sha256:a3668affe7d9dccf74939fdf152a8cf0d6aa624da6ff2acc61b3eec25db0a71e

Observation 4f280de3-f4db-4843-b818-7f9338b9be64 · outbound

This paper cites A survey of text-to-image diffusion models in generative ai.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models A survey of text-to-image diffusion models in generative ai

Reference 4

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source=pdf_text observed=2026-08-04T08:37:07.683968Z digest=sha256:2022870c7c0a7299cadb470b84b0a7a6ebe8531a9bf9e9d6b53ad65062449561

Observation 4044d420-506e-48f5-8ee3-130b18bd7030 · outbound

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

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

Reference 5

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source=pdf_text observed=2026-08-04T08:37:07.768520Z digest=sha256:62ba15b0af212293c06fb2e724624052be72f477820f4ada3ce4c11e8fb97441

Observation af8faa66-2671-421f-a905-1a2d4c16961a · outbound

This paper cites An image speaks a thousand words, but can everyone listen? on image transcreation for cultural relevance.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models An image speaks a thousand words, but can everyone listen? on image transcreation for cultural relevance

Reference 6

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Observation 4cd8940f-9be6-4268-98a8-80b1648a8e87 · outbound

This paper cites On the Cultural Gap in Text-to-Image Generation.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models On the Cultural Gap in Text-to-Image Generation

Reference 7

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Observation ec16308d-6554-4dc8-b511-7b186a45097b · outbound

This paper cites Beyond aesthetics: cultural competence in text-to-image models.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Beyond aesthetics: cultural competence in text-to-image models

Reference 8

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source=pdf_text observed=2026-08-04T08:37:08.077864Z digest=sha256:03cea97308722d43f4c0de86fa487feb3e731362dcae7540e222b6da38d15c70

Observation e37806a0-5c36-440e-809c-c272a4775386 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 9

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Observation e121ff38-c444-47e5-a2ac-aa89e916c359 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Clipscore: A reference-free evaluation metric for image captioning

Reference 10

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Observation 09014e91-109f-474c-90da-aff2a387cb4d · outbound

This paper cites Diffusion Models Through a Global Lens: Are They Culturally Inclusive?.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Diffusion Models Through a Global Lens: Are They Culturally Inclusive?

Reference 11

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source=pdf_text observed=2026-08-04T08:37:08.333301Z digest=sha256:a29d0f58d9dfd57c5af82cf201b16a68d756de47f2a5f64e0c0dc4366eb45e79

Observation 4c5e9f69-e366-4071-b78c-d984b14a3e28 · outbound

This paper cites Culturalframes: Assessing cultural expectation alignment in text- to-image models and evaluation metrics.arXiv preprint arXiv:2506.08835, 2025.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Culturalframes: Assessing cultural expectation alignment in text- to-image models and evaluation metrics.arXiv preprint arXiv:2506.08835, 2025

Reference 12

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Observation a951e421-df7c-4d8b-80ef-c019061e887b · outbound

This paper cites Dreamsim: learning new dimensions of human visual similarity using synthetic data.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Dreamsim: learning new dimensions of human visual similarity using synthetic data

Reference 13

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source=pdf_text observed=2026-08-04T08:37:08.483673Z digest=sha256:422f7a1582d25d25dec804b9aac56e9855b1d3e9920492cc9c8d389cc7826a45

Observation 9f093c5b-c739-42d0-829e-0feaa4c02286 · outbound

This paper cites Predicting scores of various aesthetic attribute sets by learning from overall score labels.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Predicting scores of various aesthetic attribute sets by learning from overall score labels

Reference 14

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source=pdf_text observed=2026-08-04T08:37:08.552142Z digest=sha256:46fb760e9bb0dae0d77aa2de2f540a031694cd5bb186e2ae071d9efbfc666075

Observation 7395a438-ae99-4120-8d14-3b726db2be59 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models High-resolution image synthesis with latent diffusion models

Reference 15

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Observation 9f548a4e-c0bb-4067-868a-2d192814996e · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 16

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Observation 45fe4438-49f5-4e2f-904f-0efa294276fd · outbound

This paper cites HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer

Reference 17

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Observation 681a9a5f-a393-4b31-a304-045b7167561c · outbound

This paper cites Qwen-Image Technical Report.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Qwen-Image Technical Report

Reference 18

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source=pdf_text observed=2026-08-04T08:37:08.864832Z digest=sha256:8e0b95a2e7052fe4a74e0a1c8cb8eca9f23e3885980e32acdd2e218f119c786f

Observation edc6200a-5307-46af-9c92-3cfdb25c77d6 · outbound

This paper cites NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 19

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source=pdf_text observed=2026-08-04T08:37:08.967195Z digest=sha256:59db4f9191116312b429f95d901f1f0f793b017bfa69bed369dfbc69781e5977

Observation 4b454b8e-3362-41a7-88bc-7e2605526c06 · outbound

This paper cites Easily accessible text-to-image generation amplifies demographic stereotypes at large scale.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Easily accessible text-to-image generation amplifies demographic stereotypes at large scale

Reference 20

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Observation aa082dbe-b1fb-4e13-b5e8-ae8fec5b4edc · outbound

This paper cites Social biases through the text-to-image generation lens.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Social biases through the text-to-image generation lens

Reference 21

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source=pdf_text observed=2026-08-04T08:37:09.146624Z digest=sha256:43aad026da4a3fa659f3cfb96c6e2512d0b2a91f8748f53832ef823ecae730c0

Observation 9ac14fdc-e91a-4f4e-95ea-f6141cabf228 · outbound

This paper cites Tibet: Identifying and evaluating biases in text-to-image generative models.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Tibet: Identifying and evaluating biases in text-to-image generative models

Reference 22

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source=pdf_text observed=2026-08-04T08:37:09.235624Z digest=sha256:57e5d968067f98734178c59b0c1f2f49b07f7923f2e9d4d9be4bdc676caba3e5

Observation b4245f69-0adf-4cd9-9439-bac571c5f621 · outbound

This paper cites Microsoft coco: Common objects in context.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Microsoft coco: Common objects in context

Reference 23

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source=pdf_text observed=2026-08-04T08:37:09.305040Z digest=sha256:587e06363543b134d6bc24f0070d60f62cc8fd0429f73804e474f4cd6caed875

Observation a4acf0bb-9dfb-4706-8b22-0e3a1a323a2d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Imagenet: A large-scale hierarchical image database

Reference 24

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source=pdf_text observed=2026-08-04T08:37:09.401067Z digest=sha256:e1de6b35b8bf921cee1c844de336a9e169780aad4cf2d6964d521bc65a805cde

Observation 065623bc-8659-4054-b303-ebf3c5cb8d4a · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022

Reference 25

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source=pdf_text observed=2026-08-04T08:37:09.493527Z digest=sha256:5f76a6ab8343a0ff537b828c0ce739cd1919c45bbc1dc9e7b840f71c9a1c4dcd

Observation 8a4c24ee-de70-4d51-9cf3-2f12a5e79272 · outbound

This paper cites The dollar street dataset: Images representing the geographic and socioeconomic diversity of the world.Advances in Neural Information Processing Systems, 35:12979–12990, 2022.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models The dollar street dataset: Images representing the geographic and socioeconomic diversity of the world.Advances in Neural Information Processing Systems, 35:12979–12990, 2022

Reference 26

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Observation c935edae-0ada-41d3-89ba-f31983019eae · outbound

This paper cites Wit: Wikipedia- based image text dataset for multimodal multilingual machine learning.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Wit: Wikipedia- based image text dataset for multimodal multilingual machine learning

Reference 27

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source=pdf_text observed=2026-08-04T08:37:09.673182Z digest=sha256:b5bf2c534e9fb5e08f18099b041b30b1cc73f2da4eaeebc4a3a1ccbc99527fd8

Observation 04a42eeb-beb1-47f2-94a1-72bd1cfe379d · outbound

This paper cites Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset

Reference 28

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source=pdf_text observed=2026-08-04T08:37:09.761831Z digest=sha256:eb5d581092f565483d3144a9f35092bdcdf4db8de48610a1a7a57c3e8f134ffb

Observation aa9e81ca-1609-4460-9a62-3dc8c9ff95bf · outbound

This paper cites Scoft: Self-contrastive fine-tuning for equitable image generation.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Scoft: Self-contrastive fine-tuning for equitable image generation

Reference 29

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Observation cc29f6e9-3b75-4639-bb4b-b60340a88370 · outbound

This paper cites Benchmarking vision language models for cultural understanding.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Benchmarking vision language models for cultural understanding

Reference 30

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source=pdf_text observed=2026-08-04T08:37:09.913970Z digest=sha256:22c3b32700ff1a898d9ed7b34f645630e7f6f6ddcfb1b05fcd7e154dc6bc42f4

Observation 389b15e0-45c5-4a35-b907-dabcf63bbc3b · outbound

This paper cites Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation

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source=pdf_text observed=2026-08-04T08:37:09.976254Z digest=sha256:1b1fca3e8d3314acf52c93018b87a775b4fc5fc2d5d305de6bf6306e11701885

Observation 2ce05ab2-d162-4d4f-9692-bd8afac4c3db · outbound

This paper cites Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis

Reference 32

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source=pdf_text observed=2026-08-04T08:37:10.032439Z digest=sha256:b911fb884bfe2f26e943e5fa606b5e68bef9fd6c097732af02ee9d1843e3e5f1

Observation 4aee7033-a9a8-4fc1-9ee7-6af088e34c8b · outbound

This paper cites Evaluating text-to-visual generation with image-to-text generation.CoRR, 2024.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Evaluating text-to-visual generation with image-to-text generation.CoRR, 2024

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source=pdf_text observed=2026-08-04T08:37:10.118237Z digest=sha256:968886acb4fac8d5cc4ec9416d0f26b1fe983ee50757b2b0fda85b85f5ff41a0

Observation 8dacc7f7-5860-46ae-ae64-a0be82db68b2 · outbound

This paper cites Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models

Reference 34

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source=pdf_text observed=2026-08-04T08:37:10.214299Z digest=sha256:03c03bf97799ea3a93e1b9ea685e3fb120793daa0c8e8065a2291a028754f70e

Observation 9c9240bb-acd0-41e9-b701-8994e973c3c2 · outbound

This paper cites Cvqa: culturally- diverse multilingual visual question answering benchmark.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Cvqa: culturally- diverse multilingual visual question answering benchmark

Reference 35

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source=pdf_text observed=2026-08-04T08:37:10.301440Z digest=sha256:22cd76b6670e09e9d83130bc19180263709f8b824dfab461039e9266fddf9bd0

Observation 781607da-7f53-4a7f-b307-f0151a1ae479 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

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source=pdf_text observed=2026-08-04T08:37:10.394423Z digest=sha256:a5dd6d9b357cace7f94332d47168b322240c67a62f64e63ffe9c51992282c6fb

Observation f5fe762a-2cdc-4ff5-83ba-ab5cbb356e99 · outbound

This paper cites Ravenea: A benchmark for multimodal retrieval-augmented visual culture understanding.arXiv preprint arXiv:2505.14462, 2025.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Ravenea: A benchmark for multimodal retrieval-augmented visual culture understanding.arXiv preprint arXiv:2505.14462, 2025

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source=pdf_text observed=2026-08-04T08:37:10.485801Z digest=sha256:3a631e33a75d92647504f373427753231f1c52b0d2794aa7fbb295b09964a8de

Observation 091c15bf-15d1-4854-83b7-ea0d7d03e93a · outbound

This paper cites Qwen2.5 technical report, 2025.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Qwen2.5 technical report, 2025

Reference 38

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source=pdf_text observed=2026-08-04T08:37:10.572844Z digest=sha256:8e59b9a1cf43ef0ed329397e580ef5daaf1f3bb85b4de054bdf66472faf4d498

Observation 22b7120c-fa89-49d4-a8fa-9cdcafea1985 · outbound

This paper cites Qwen2 Technical Report.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Qwen2 Technical Report

Reference 39

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Observation 83b2adef-3cf1-4657-a868-b6ef462fe70f · outbound

This paper cites Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing

Reference 40

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source=pdf_text observed=2026-08-04T08:37:10.754743Z digest=sha256:f1c7f4f2f247ea25f0a19bbfaa5be37ec3ef477fb5fca85e0ca3e1111517a6bd

Observation 36b4921b-5c86-4225-b274-6eb9acea8d31 · outbound

This paper cites Gender bias in coreference resolution: Evaluation and debiasing methods.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Gender bias in coreference resolution: Evaluation and debiasing methods

Reference 41

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Observation 5fc8c9a3-6554-43d0-9f4b-01b7fd4ad6af · outbound

This paper cites convergence.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models convergence

Reference 42

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Pith citing papers

Observation b99abc5b-bcce-4ce2-b2a0-bef9ab29c2cd · inbound

Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics cites this paper.

Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models

Reference 25

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Observation 26c7ce21-5bfb-4a90-9a1b-b628c1dafe00 · inbound

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South cites this paper.

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models

Reference 86

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arxiv_id, observed 2026-06-04T02:07:05.505952Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T07:06:57.555070Z digest=sha256:d19d3b79f6d3d37ad856fd1db63b933a65c6319af3efbe7db54ba35dee493ea9

Observation c2394883-d4c6-45c0-a303-4e18017013ee · inbound

EmergencyBias: Bias in Text-to-Image Models under Emergency Scenarios cites this paper.

EmergencyBias: Bias in Text-to-Image Models under Emergency Scenarios Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models

Reference 33

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source=pdf_text observed=2026-08-05T00:36:56.969680Z digest=sha256:9b383a7e4ddaf399a789c80715a0d48f8920b676e2120b67bab48d86da4e6a51

Observation e29add99-9438-4667-8768-eb7e6f169a04 · inbound

Investigating Social Bias in Narrative Image Generation cites this paper.

Investigating Social Bias in Narrative Image Generation Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models

Reference 33

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