Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:37:10.933024Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:37:10.933024Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T00:36:56.969680Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T07:08:07.013738Z
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ba6caa5c-49f8-446e-8260-4f5ae7f1c56e · outbound
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
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
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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Observation 4f280de3-f4db-4843-b818-7f9338b9be64 · outbound
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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Observation 4044d420-506e-48f5-8ee3-130b18bd7030 · outbound
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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Observation af8faa66-2671-421f-a905-1a2d4c16961a · outbound
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
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
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Beyond aesthetics: cultural competence in text-to-image models
Reference 8
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Observation e37806a0-5c36-440e-809c-c272a4775386 · outbound
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
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
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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Observation 4c5e9f69-e366-4071-b78c-d984b14a3e28 · outbound
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
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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Observation 9f093c5b-c739-42d0-829e-0feaa4c02286 · outbound
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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Observation 7395a438-ae99-4120-8d14-3b726db2be59 · outbound
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
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
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
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Qwen-Image Technical Report
Reference 18
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Observation edc6200a-5307-46af-9c92-3cfdb25c77d6 · outbound
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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Observation 4b454b8e-3362-41a7-88bc-7e2605526c06 · outbound
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
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Social biases through the text-to-image generation lens
Reference 21
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Observation 9ac14fdc-e91a-4f4e-95ea-f6141cabf228 · outbound
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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Observation b4245f69-0adf-4cd9-9439-bac571c5f621 · outbound
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Microsoft coco: Common objects in context
Reference 23
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Observation a4acf0bb-9dfb-4706-8b22-0e3a1a323a2d · outbound
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Imagenet: A large-scale hierarchical image database
Reference 24
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Observation 065623bc-8659-4054-b303-ebf3c5cb8d4a · outbound
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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Observation 8a4c24ee-de70-4d51-9cf3-2f12a5e79272 · outbound
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
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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Observation 04a42eeb-beb1-47f2-94a1-72bd1cfe379d · outbound
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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Observation aa9e81ca-1609-4460-9a62-3dc8c9ff95bf · outbound
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
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Benchmarking vision language models for cultural understanding
Reference 30
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Observation 389b15e0-45c5-4a35-b907-dabcf63bbc3b · outbound
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 31
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Observation 2ce05ab2-d162-4d4f-9692-bd8afac4c3db · outbound
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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Observation 4aee7033-a9a8-4fc1-9ee7-6af088e34c8b · outbound
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Evaluating text-to-visual generation with image-to-text generation.CoRR, 2024
Reference 33
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Observation 8dacc7f7-5860-46ae-ae64-a0be82db68b2 · outbound
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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Observation 9c9240bb-acd0-41e9-b701-8994e973c3c2 · outbound
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Cvqa: culturally- diverse multilingual visual question answering benchmark
Reference 35
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Observation 781607da-7f53-4a7f-b307-f0151a1ae479 · outbound
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
Reference 36
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Observation f5fe762a-2cdc-4ff5-83ba-ab5cbb356e99 · outbound
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
Reference 37
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Observation 091c15bf-15d1-4854-83b7-ea0d7d03e93a · outbound
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Qwen2.5 technical report, 2025
Reference 38
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Observation 22b7120c-fa89-49d4-a8fa-9cdcafea1985 · outbound
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
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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Observation 36b4921b-5c86-4225-b274-6eb9acea8d31 · outbound
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
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models convergence
Reference 42
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Observation b99abc5b-bcce-4ce2-b2a0-bef9ab29c2cd · inbound
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 Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
Reference 86
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Observation c2394883-d4c6-45c0-a303-4e18017013ee · inbound
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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Observation e29add99-9438-4667-8768-eb7e6f169a04 · inbound
Investigating Social Bias in Narrative Image Generation Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
Reference 33
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