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Paper Citation Record · LEDGER

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems

As of 22 August 2026, this Paper Citation Record lists 100 of 135 outbound references and 0 inbound Pith citation observations for arXiv:2506.08071.

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

pith.paper-citation-record.v1
2506.08071 v1

Coverage vector

measured 100 of 135 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:16.407874Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

100 of 135 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved81
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ccffc51-ea97-40cf-a12f-4fa4d70903d7 · outbound

This paper cites Vqa: Visual question answering.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Vqa: Visual question answering

Reference 1

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Observation 25693321-6866-4409-bc0a-d39c017db58e · outbound

This paper cites In- specting the geographical representativeness of images from text-to-image models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems In- specting the geographical representativeness of images from text-to-image models

Reference 2

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Observation acbecfee-32d1-4c6b-934e-47012251de5e · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Diffusion Models Through a Global Lens: Are They Culturally Inclusive?

Reference 3

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Observation b3c6dc4b-7917-460c-90bf-f5812cf7d944 · outbound

This paper cites Improving image generation with bet- 12 ter captions.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Improving image generation with bet- 12 ter captions

Reference 4

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Observation e193dca0-491f-4db5-8cf2-5860a1162162 · outbound

This paper cites Easily acces- sible text-to-image generation amplifies demographic stereo- types at large scale.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Easily acces- sible text-to-image generation amplifies demographic stereo- types at large scale

Reference 5

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Observation 8cb13184-6e1b-42b5-aa99-ac5d23ffb205 · outbound

This paper cites Demystifying mmd gans.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Demystifying mmd gans

Reference 6

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Observation de181d9f-789c-4e49-86c3-ac554e5d5348 · outbound

This paper cites Multimodal datasets: misogyny, pornography, and malignant stereotypes.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Multimodal datasets: misogyny, pornography, and malignant stereotypes

Reference 7

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Observation 660a2971-7460-4d2b-aca8-85ce4d1eca2d · outbound

This paper cites Into the laion’s den: Investigating hate in multi- modal datasets.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Into the laion’s den: Investigating hate in multi- modal datasets

Reference 8

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source=pdf_text observed=2026-08-07T05:27:15.960258Z digest=sha256:8dbd59fe0ca8800d88f35ae17b190817fa2ec2a6534b9d64d09035856923f81c

Observation 8a7e2de3-6889-4e7e-b523-6699f4b2f062 · outbound

This paper cites Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark

Reference 9

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source=pdf_text observed=2026-08-07T05:27:15.964976Z digest=sha256:85b455559b0a03086bd776d04cd627f69cadea87b79784bbd7ccc3e780d5dcda

Observation 74fccfd5-1d59-43a8-8e39-8bdc0457ca28 · outbound

This paper cites Pal: Sample-efficient person- alized reward modeling for pluralistic alignment.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Pal: Sample-efficient person- alized reward modeling for pluralistic alignment

Reference 10

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Observation 869db556-81ea-47e2-adb3-1e6990aeae62 · outbound

This paper cites Pali: A jointly-scaled multilingual language-image model.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Pali: A jointly-scaled multilingual language-image model

Reference 11

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Observation ab6fe6d8-f18d-4f54-83e5-c3235c835a40 · outbound

This paper cites Dall-eval: Probing the reasoning skills and social biases of text-to- image generation models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Dall-eval: Probing the reasoning skills and social biases of text-to- image generation models

Reference 12

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Observation 361f6fc5-6190-4ffa-ac65-f3fa284124d5 · outbound

This paper cites Food and culture.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Food and culture

Reference 13

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Observation 55f1e540-9c22-4523-8bc8-2bfc863a3953 · outbound

This paper cites Does object recognition work for ev- eryone? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages 52–59, 2019.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Does object recognition work for ev- eryone? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages 52–59, 2019

Reference 14

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Observation e78dfdc5-2538-4c1e-871e-5b6c087fa2b4 · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 15

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Observation e4ef9141-17f7-42bc-a6f7-7adfef3291f2 · outbound

This paper cites Internet, phone, mail, and mixed-mode surveys: The tailored design method.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Internet, phone, mail, and mixed-mode surveys: The tailored design method

Reference 16

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Observation 543c2df9-82ae-4bd8-8869-40ded8eea129 · outbound

This paper cites Cogview2: Faster and better text-to-image generation via hierarchical transformers.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Cogview2: Faster and better text-to-image generation via hierarchical transformers

Reference 17

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Observation cb98e8aa-fbb2-4873-b7fb-8a9fe0292508 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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Observation 0d647f27-9c85-46d8-ade4-7412b47249be · outbound

This paper cites Data filtering networks.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Data filtering networks

Reference 19

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source=pdf_text observed=2026-08-07T05:27:16.011719Z digest=sha256:30c9d4c81824889594071ed5fc71b577dde84d50f6f848057e2c9b534c43e575

Observation 73860be0-67e3-4044-ad80-3203f726ffc8 · outbound

This paper cites Multimodal Autoregressive Pre-training of Large Vision Encoders.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Multimodal Autoregressive Pre-training of Large Vision Encoders

Reference 20

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Observation a050371d-be8e-4240-999e-3c273d8c289e · outbound

This paper cites The vendi score: A diversity evaluation metric for machine learning, 2023.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems The vendi score: A diversity evaluation metric for machine learning, 2023

Reference 21

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Observation 1a413808-640f-485c-a0d7-4112960d33e7 · outbound

This paper cites DataComp: In search of the next generation of multimodal datasets.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems DataComp: In search of the next generation of multimodal datasets

Reference 22

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Observation 8d525726-2811-49d7-b2c4-df95970968aa · outbound

This paper cites Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 23

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Observation a351a1a7-4796-4b84-8ab1-53ca4ee3dcc5 · outbound

This paper cites Deep residual learning for image recognition.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Deep residual learning for image recognition

Reference 24

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source=pdf_text observed=2026-08-07T05:27:16.035641Z digest=sha256:81cb67bb4ab32e40ff4458f8459bc1e75f8365895fd93c23a7b8ad5b73bfc95d

Observation 89d9ff3b-a25c-4e7a-9870-27c9903c2687 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 25

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Observation fe4c2157-9f82-4d97-a1bb-2eb9edbec7a1 · outbound

This paper cites Culture’s consequences: Comparing val- ues, behaviors, institutions and organizations across nations.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Culture’s consequences: Comparing val- ues, behaviors, institutions and organizations across nations

Reference 26

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Observation 373c2df4-19fc-4cbd-a201-87376d0711a8 · outbound

This paper cites Visage: A global-scale analysis of visual stereo- types in text-to-image generation.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Visage: A global-scale analysis of visual stereo- types in text-to-image generation

Reference 27

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Observation 703a7ef3-9892-49ee-8683-73fa492c62df · outbound

This paper cites Billion- scale similarity search with gpus.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Billion- scale similarity search with gpus

Reference 28

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source=pdf_text observed=2026-08-07T05:27:16.055557Z digest=sha256:e9ec5b643c0af74950751d238b5bdbc349b95fc9acfa8de5f2b40653cb6320c1

Observation 2c640ac9-06b3-4f7d-b9da-99101e1d521b · outbound

This paper cites Scal- ing up gans for text-to-image synthesis.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Scal- ing up gans for text-to-image synthesis

Reference 29

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source=pdf_text observed=2026-08-07T05:27:16.060227Z digest=sha256:dc738d7f29be943042b0aadf522f5669ba08e0c30579c27103a17510f7e24e77

Observation e55b9359-4d2d-42ee-8275-3bbc3f468269 · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Beyond aesthetics: Cul- tural competence in text-to-image models

Reference 30

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source=pdf_text observed=2026-08-07T05:27:16.064651Z digest=sha256:653e5dbeaa61356ad8ecc487a72d01f4ebeee4bfcba7472201484b4f93aee347

Observation 100f431c-79e5-4fe2-8ba5-7bbc19aac226 · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems An image speaks a thousand words, but can everyone listen? on image transcreation for cultural relevance

Reference 31

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Observation 5ae514e7-bbe4-4906-866e-08f3aa68468c · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 32

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source=pdf_text observed=2026-08-07T05:27:16.073746Z digest=sha256:06aa1cbc33be802138dbf9a3e806fe3b1e449ef3c7bd86f5de73e3c47baebc52

Observation ab964ca6-a411-4df4-8a99-bd5cf2a644d7 · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class im- age classification.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Openimages: A public dataset for large-scale multi-label and multi-class im- age classification

Reference 33

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source=pdf_text observed=2026-08-07T05:27:16.078439Z digest=sha256:fd9276675322d2dc0d257441fb62a6982527c8d0551371201c7ae02444fa3a94

Observation 5030653e-5e32-4d1d-942d-c22a283c7183 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Imagenet classification with deep convolutional neural net- works

Reference 34

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Observation 1ed4b56a-bbcc-4fbb-8f2b-9ddfa14d3f36 · outbound

This paper cites Research methods in human-computer interaction.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Research methods in human-computer interaction

Reference 35

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Observation 22396198-c54a-4da5-baa9-aa70b91c9921 · outbound

This paper cites A technique for the measurement of attitudes.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems A technique for the measurement of attitudes

Reference 36

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source=pdf_text observed=2026-08-07T05:27:16.092910Z digest=sha256:cecc4d7e6a1060fcf7ad46b7635233e754cfed15df9148d3638eeb787186430b

Observation c843b734-c4fc-4000-a06a-23f124dfcf9d · outbound

This paper cites Microsoft coco: Common objects in context.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Microsoft coco: Common objects in context

Reference 37

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Observation 4e732b65-8aa1-4d68-abce-62611a20f646 · outbound

This paper cites Visual instruction tuning.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Visual instruction tuning

Reference 38

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source=pdf_text observed=2026-08-07T05:27:16.101992Z digest=sha256:83a29f22736600e5022be7a7875312c3c30a97576d93997232f5efc50460ec0d

Observation 7cfc05fb-5fb8-4930-9606-3d392a600a6b · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset

Reference 39

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.106680Z digest=sha256:20860f93564ffbba04170eb69487f4330d3c69801b7e6992b91a012a120db154

Observation de261306-e54f-4c7e-ac49-36d940addc15 · outbound

This paper cites Stable Bias: Analyzing Societal Representations in Diffusion Models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Stable Bias: Analyzing Societal Representations in Diffusion Models

Reference 40

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source=pdf_text observed=2026-08-07T05:27:16.111962Z digest=sha256:80d8f07b3fb3c48a0e2ca5d97a860cc6759b58d9c7fcf536ea4baa7d90cb4ff2

Observation db412f09-cac5-41b1-87dd-21a1bb2161fd · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Social Biases through the Text-to-Image Generation Lens

Reference 41

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source=pdf_text observed=2026-08-07T05:27:16.116473Z digest=sha256:7707c84a3c3b0ff0af3aa485086955b2eba7e97bc0b6972854e2a3667783e8be

Observation 5b2ce63b-2484-4465-a6c8-a719e0c83d4d · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-07T05:27:16.121632Z digest=sha256:4489ae43066da0f6de37299edfb7b8edadd4fb59480a011aa88c63f076c16b30

Observation f0a65d2f-4973-43cc-91db-fe17ed13a4de · outbound

This paper cites Dinov2: Learning robust visual features without super- vision.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Dinov2: Learning robust visual features without super- vision

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.126398Z digest=sha256:b3ca9f3b7e04b7e2982055973d11f5b11e28a305c28726c80d8020dbf0239ec1

Observation 3b8ea62a-ca64-474c-a854-9a08673b377d · outbound

This paper cites The neglected tails in vision-language models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems The neglected tails in vision-language models

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.131100Z digest=sha256:db6d90437817175983d5a83739711de1625ae5ca5f0f20eea2d59876c7415e32

Observation c7a21050-0778-4865-a0ae-8ebf01c82d5b · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 45

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.136052Z digest=sha256:9ed3eb794e1311789063ffaa3badce4324f9242169dd6795a1bccb347c2b0106

Observation 5d1c5810-be6c-4d4c-84e1-bd1360b22a9c · outbound

This paper cites Prolific.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Prolific

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.140883Z digest=sha256:379b3aa4c6650cfeac9cb18e999c643a5d76fa16778101eb44418338cf286341

Observation aa19e671-73f6-4944-ab68-40e9008824b8 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Learning transferable visual models from natural language supervi- sion

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.146399Z digest=sha256:03d851310260733aab74c356a35dc696cbe37d756762af9159d2cb06a9644121

Observation adbba0e7-ec88-493c-b19f-513a5e26e16a · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 48

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no resolver link, observed 2026-08-07T05:27:16.152285Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.152285Z digest=sha256:b5deeaa49165c873979ac5080c6b80025b805d94251acc1e3551bcc5fb0bb502

Observation 4d43f506-93da-43b2-ac54-1d6a5f4cba90 · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Red-Teaming the Stable Diffusion Safety Filter

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.156591Z digest=sha256:f9d70b829fb98f147590d34ec5014f1e185409b3b00063de3f6d431a14cae47d

Observation 3530e545-e619-47c4-a440-17ebca269109 · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems High-resolution image synthesis with latent diffusion models

Reference 50

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no resolver link, observed 2026-08-07T05:27:16.161903Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.161903Z digest=sha256:38dca8d951c005e2d4d1a49ce244ce657836d36a12183d82833560583065e83d

Observation dd89d7fc-eadb-48c4-8ba9-234dc5575fa9 · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Cvqa: Culturally-diverse multilingual visual question answering benchmark

Reference 51

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no resolver link, observed 2026-08-07T05:27:16.167582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.167582Z digest=sha256:74145061aa9b40669e9d76c56ad47b41773ee1b433fe4573f0cbdb8f15398ae3

Observation 279f7626-3ebc-4c14-a88b-d12f1c9af501 · outbound

This paper cites Imagenet large scale visual recognition challenge.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Imagenet large scale visual recognition challenge

Reference 52

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no resolver link, observed 2026-08-07T05:27:16.173429Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.173429Z digest=sha256:be63720313a40c84c47328e871214563e0ca5dde298a2c0bf8169052ff8c4d6f

Observation 5f984929-06bb-4f1b-9a9c-695a571cb8e3 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Photorealistic text-to-image diffusion models with deep language understanding

Reference 53

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no resolver link, observed 2026-08-07T05:27:16.177941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.177941Z digest=sha256:3213f50e5a84c44720eb431e324794126096fdaa8d480739ee47d0451649c403

Observation 479a2177-7322-40d8-bf94-f3f9cbc931df · outbound

This paper cites StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Reference 54

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.182909Z digest=sha256:bb01ccecc1aca6fcd7bbfd16ae1332347ac308ce5137cbf4bb7ef82d7d040496

Observation 5f2a4a7d-5183-4e00-8e65-d5ad092cfec7 · outbound

This paper cites LAION-400M: Open dataset of CLIP-filtered 400 million image-text pairs.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems LAION-400M: Open dataset of CLIP-filtered 400 million image-text pairs

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.188438Z digest=sha256:270f2c3b6c7be7b38690fa86459dd0c0d84f10977230a495307c73a2e731d1a5

Observation 3c4d6499-dddc-4c7d-acf7-a643e0054302 · outbound

This paper cites LAION-5b: An open large-scale dataset for train- ing next generation image-text models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems LAION-5b: An open large-scale dataset for train- ing next generation image-text models

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.193435Z digest=sha256:cf9b8c212d07516ad060617b314b0648409c76e2fe2cbc93e0a727397bbf0212

Observation 0eedd2ac-29d3-4a6c-a186-0a349c5df058 · outbound

This paper cites The bias amplification paradox in text-to-image generation.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems The bias amplification paradox in text-to-image generation

Reference 57

Resolution
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no resolver link, observed 2026-08-07T05:27:16.198181Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.198181Z digest=sha256:338778d5159bfa07033cdd5d62e6f266a09d98337010be478761fc85a92775e8

Observation 88d0df70-d5f0-45d0-99c3-91d32a1506de · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.204197Z digest=sha256:97a2993d25b3eb496013318ad578e5e36497d7eeab0114fa134a3883846ad4ea

Observation a9f34779-0d9e-42a2-8942-207c7a771c65 · outbound

This paper cites Identifying and eliminating csam in generative ml training data and models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Identifying and eliminating csam in generative ml training data and models

Reference 59

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no resolver link, observed 2026-08-07T05:27:16.209536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.209536Z digest=sha256:d9ca1cfbd730809f92bb5f5fc5330fcd5ea0c85d0ea76796f338e14ca3bf6fc5

Observation 9b96bb0d-ae73-4747-9a18-db36702df433 · outbound

This paper cites Yfcc100m: The new data in multimedia research.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Yfcc100m: The new data in multimedia research

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:16.214642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.214642Z digest=sha256:36dacdfd36954508297554ee56d85733734ded1e43ab71f4d7bec14828bc11dd

Observation cdeb985f-4f9c-4cec-8b2e-1f7f728354dc · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 61

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.219845Z digest=sha256:e1cd4b4d1cc70ca8fe7110eb065ef03c4496925b9c96bd88aaee445917bb881a

Observation e1e19652-a2a2-4448-ab36-3c5580322d51 · outbound

This paper cites All groups composi- tions.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems All groups composi- tions

Reference 62

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.224537Z digest=sha256:0eae1658e328669b47ae5d6236b6e2e9e824d3b669a28eadc7c2db8208376221

Observation ce34ff8e-1f63-4f4a-adca-38e12b56a9c3 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 63

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no resolver link, observed 2026-08-07T05:27:16.229693Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.229693Z digest=sha256:35e42d04cb0be13660faf69ed2f2c738d1f44c0501259209f43a35ef752579d1

Observation 066150cc-028f-4d49-b47b-cde87fda7095 · outbound

This paper cites How ai reduces the world to stereotypes.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems How ai reduces the world to stereotypes

Reference 64

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no resolver link, observed 2026-08-07T05:27:16.234629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.234629Z digest=sha256:4c3a9240385088bb4db153fd914e11a436fc93c8ca73c576df5b8c775285b903

Observation 5096e753-a611-4d5d-a0c3-6d8285bbc5ba · outbound

This paper cites Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:27:16.670699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.239099Z digest=sha256:a06d0c48bdfcf104d9ff598dca999e50def3d97b11487fee5d1f10fa24828594

Observation 04baddba-989b-448d-bd6e-dd544a87a06f · outbound

This paper cites The factuality tax of diversity-intervened text-to-image genera- tion: Benchmark and fact-augmented intervention.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems The factuality tax of diversity-intervened text-to-image genera- tion: Benchmark and fact-augmented intervention

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.244909Z digest=sha256:a8966c88a890e1af836c09abab77ccb54fc3c07cb326467f5af794a6464e967c

Observation a2ceb1c5-1d6e-4371-b37e-1210543f5029 · outbound

This paper cites Revise: A tool for measuring and miti- gating bias in visual datasets.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Revise: A tool for measuring and miti- gating bias in visual datasets

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.250458Z digest=sha256:589e273de68eb059114048ae1ee5b22049561864de74e8ec8a96ae782f7a34f8

Observation e794e716-929b-4ff2-842a-18c92d71e4cb · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Emu3: Next-Token Prediction is All You Need

Reference 68

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no resolver link, observed 2026-08-07T05:27:16.255086Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.255086Z digest=sha256:2d482eac95738937e5b3e3aa490f48a83ad8d665df82445557f32b22ffd7bb15

Observation 787d0faa-e24f-44d9-9e07-01f174347629 · outbound

This paper cites Wikimedia Commons.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Wikimedia Commons

Reference 69

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.259502Z digest=sha256:9fe36a313a884b3e57acd9fc3d2d3af6090f6fd01860a037222d6afb6d281003

Observation 43dc7413-778d-4f95-9919-882592f9cf9b · outbound

This paper cites American== white in mul- timodal language-and-image ai.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems American== white in mul- timodal language-and-image ai

Reference 70

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no resolver link, observed 2026-08-07T05:27:16.263784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.263784Z digest=sha256:8175c170e404a817e4c268c4934f89f76bd9d1b759aa9b7c6622c198cfca9895

Observation c8bf6938-28ed-4d93-b32e-ce0562f6c6be · outbound

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.863684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.268640Z digest=sha256:6e7dc0c1f1d367ca6954aad853d023b8295ecf3cef0f1715a16b5979b028851d

Observation 180d85c4-b8b9-45cd-9740-2c4ae3f804e7 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.849441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.273315Z digest=sha256:45139fb303b97dcacb4b3dbea3ac2df65793841e70d2ec869d3e5dd841db2a8a

Observation 65d4e749-b8d0-4fda-93f8-6157a89cb6a3 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:16.277893Z digest=sha256:8b960a997e22627edc589c2efeeb093e4a62ecca972dc5f181204edab590873d

Observation cddd270a-1f4d-403d-a095-4b938064210e · outbound

This paper cites Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Reference 74

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no resolver link, observed 2026-08-07T05:27:16.282820Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:27:16.282820Z digest=sha256:15ec797e0f23c7fea230fc41a0c82d9e1b72219417f155ab947095cc0c7651d8

Observation ca74304f-7eb1-4177-ab77-e17542eb6ad2 · outbound

This paper cites Partiality and miscon- ception: Investigating cultural representativeness in text-to- image models.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Partiality and miscon- ception: Investigating cultural representativeness in text-to- image models

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.834482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.287765Z digest=sha256:f25fd048ce643481051b376e957d6cbbf3781389f6fbeb73ba7b2b8953a451bf

Observation 569de26d-30a5-47eb-9516-b5283d1f4b7e · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems The unreasonable effectiveness of deep features as a perceptual metric

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.819267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.292155Z digest=sha256:eb940e24f0286026668f9929772bc0a1f2c483af58260bfd6e41b9a623f81966

Observation 6dd7c01f-18c6-4eb1-9492-15f7c4a2f143 · outbound

This paper cites Finding a CuRe through Information.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Finding a CuRe through Information

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.804867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.296558Z digest=sha256:15fcfc9ad192735ecc83fea9b0c8b8d39d8e76647c23b8825af1f49f6b9efe6a

Observation 2b80502c-7df6-4571-a7b2-aa64b4e680d7 · outbound

This paper cites User Study.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems User Study

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.789830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.301129Z digest=sha256:e63d7261cc55129bf44ac70d3602d063c96be899588fbb1125621f90526b7c57

Observation fa7cd3ca-5f3a-4188-be38-8ee89f8d3d0c · outbound

This paper cites [category name] by country.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems [category name] by country

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.775043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.305664Z digest=sha256:03f1e39efdb3fb0430d5d7fafb5e3cc5c78668df8b5bf68c303ad02b803ae4d6

Observation a757d909-7100-4458-911d-da2a7e8972de · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.759873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.310618Z digest=sha256:c8963bb87f8d90fa76851a8b7ce8687dca1825eaff6d61ff42fa5270b9ff4d9c

Observation 7b584e09-2da9-4897-b061-2a23b11586fc · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.744657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.315104Z digest=sha256:415af12ff2da0a94e81b977dbb9dc150dfe704c16aef055cccc70d9e41d46750

Observation 83502377-398a-498a-b435-207c34cac0f4 · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.730296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.320514Z digest=sha256:4a6e7a1ba4c17b6d0f67d4e59b46b85e72f9badb4a50d04fb8c1ca6c18eaebe8

Observation 0c4417d3-11c0-4445-ace0-cbd2f0241c5c · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.715801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.325235Z digest=sha256:b5bfdd8ff427cc4a518c8856c4e7c52cd7cffe722afb0b6fe608c3e2de219199

Observation f7da0268-fca1-47c2-9b85-2c395be350ac · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.699193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.330214Z digest=sha256:2c10719d743714a362f6bd151b251782c4afd57aef4cae5eae95e14ccf25eda0

Observation 2b72d76a-d610-429a-a442-192097360ff5 · outbound

This paper cites How similar do you think the generated image on the left is to the real images on the right?.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems How similar do you think the generated image on the left is to the real images on the right?

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.683360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.334848Z digest=sha256:d299897bc35b691cc104ea62b616f7c01f3d953a5e32d17c1747bb01c888ec89

Observation 5a43a0df-74c2-4a53-8f79-a03559db25e7 · outbound

This paper cites stereotypical.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems stereotypical

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.666944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.340062Z digest=sha256:1d9a6ca11a774b851d63d3618135ba53201f534e11a871d2bce7fcefc9ef5ffc

Observation c6d3aa84-3b75-49a6-bbdb-3879c224cf30 · outbound

This paper cites some of the small blue domes are futher apart than others.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems some of the small blue domes are futher apart than others

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.652140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.345717Z digest=sha256:ec54b13810abb0b38828c1feaa25b7f6c399076e864cb2ae69617098bae80034

Observation f128a410-d835-4fd8-b9d1-2ab1a636ad8e · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.635441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.350264Z digest=sha256:dae306803887f4ed327f265515268b28b2db3448393bb899471f4b42295f1617

Observation 7bea4bd7-e645-43c0-8381-f47b60614d5e · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.620439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.355123Z digest=sha256:8a20f2bc41bcfafa4ef84f892dec830df9f432ee41408f4cdc6c58ce1ce96581

Observation e35803db-ee07-41d0-a19a-80f293c4b22e · outbound

This paper cites ϕ∗CuRe= 4.0/5 ϕGT(n) = 0.808 ϕP S(n) = 0.581 ∆ϕP S(n, c) = 0.486 ∆ϕP S(n, c, r) = 0.486 E3 George Lucas.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems ϕ∗CuRe= 4.0/5 ϕGT(n) = 0.808 ϕP S(n) = 0.581 ∆ϕP S(n, c) = 0.486 ∆ϕP S(n, c, r) = 0.486 E3 George Lucas

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.604915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.361141Z digest=sha256:dd98c6091a6a1e514a1ae8238514a89c23431e46aa3805e99f57a5c8639cd1a9

Observation adbd7d3c-8ccf-44fb-89e2-bed16f8dff70 · outbound

This paper cites There’s nothing particularly unique about it that would NOT make it apart of my culture.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems There’s nothing particularly unique about it that would NOT make it apart of my culture

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.590221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.366073Z digest=sha256:ca32371e1573760d2b7e0c8464c27d4a4b5ae93ca1afaad1f6ac138d6acef543

Observation df732714-13f8-439f-b33b-4622ad4eae0b · outbound

This paper cites They are obviously AI.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems They are obviously AI

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.575431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.370770Z digest=sha256:462c6fde1106141cc73e6f817f62e816d318bc2e04d6f53e1f271811cc52e73f

Observation b9d32c74-1438-43e6-8399-7e5863bee4ce · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.559661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.375414Z digest=sha256:18518af888298a1a7104091925df8ce12b3c17582bdfffb561bb7373b468fbed

Observation d7382ea9-73d1-48e8-9553-b7fda0991d9c · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.542933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.380069Z digest=sha256:27ce0b8cd2880b65a894388a952a9997a07efe960bb1a00068d91ac2320dba7e

Observation e4155fd4-601c-4870-866b-af66b24f57f7 · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.527962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.384842Z digest=sha256:5f4fce8565de78ccebeb4105db044e220d65d0760bceb4a66a2a7f1707ab965d

Observation f9193bbf-060c-4dd8-a917-e38e0a6e70f2 · outbound

This paper cites ϕ∗CuRe= 1.0/5 ϕGT(n) = 0.712 ϕP S(n) = 0.757 ∆ϕP S(n, c) = 0.504 ∆ϕP S(n, c, r) = 0.473 E6 Hmong textile art.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems ϕ∗CuRe= 1.0/5 ϕGT(n) = 0.712 ϕP S(n) = 0.757 ∆ϕP S(n, c) = 0.504 ∆ϕP S(n, c, r) = 0.473 E6 Hmong textile art

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.512674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.389230Z digest=sha256:8993b68a0df1bdc2f6d530a4e8b294ec1fdda1f9ab6b512814d86032fecb3acd

Observation cbe644b6-bb39-4007-a4b9-87bd1aa45180 · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.496048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.393640Z digest=sha256:6acb00aec8780d160d315a5622b55969d3e5da43a08b6ea99651041bd67f477b

Observation d08ca0de-bc40-45fd-8ecd-b5e234321d2e · outbound

This paper cites An image from Australia.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems An image from Australia

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.481067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.398971Z digest=sha256:805c327f52918f41cf8c979f6efe9ac1b8102cf5197c5b08d671c1496005a660

Observation 6ebea203-045d-4320-91dc-6e8ea86387d7 · outbound

This paper cites an unresolved cited work.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:17.464812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.403749Z digest=sha256:4f232648e51dbaae099b49c1e1e3f911aaa17cc1a74bb7c0d452928a05825350

Observation 0189dbce-d33c-4426-99a2-f43a0cd2229a · outbound

This paper cites [31]= 0.060 Ventura et al.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems [31]= 0.060 Ventura et al

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:17.449855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:27:16.407874Z digest=sha256:da79042f140aab87e61c0fd4a8eb115805c2485195b9cfcb9291919215eb1261

Pith citing papers

No inbound Pith citation observations are available.