Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T14:22:16.968028Z
Paper Citation Record · LEDGER
LAION-5B: An open large-scale dataset for training next generation image-text models
As of 22 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 95 inbound Pith citation observations for arXiv:2210.08402.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:28.106999Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 104 outbound references displayed
- verified exact34
- verified fuzzy53
- unresolved3
- parse uncertain0
- malformed identifier1
- metadata mismatch9
External citation measurements
1037
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 702d5bf1-6f14-4853-96c5-1b7c54ff40f4 · outbound
This paper cites 15https://github.com/lucidrains/DALLE-pytorch 16https://discord.gg/xBPBXfcFHd 17https://gauss-centre.eu 13.
LAION-5B: An open large-scale dataset for training next generation image-text models 15https://github.com/lucidrains/DALLE-pytorch 16https://discord.gg/xBPBXfcFHd 17https://gauss-centre.eu 13
Reference 1
- Resolution
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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.
Observation d68a3a7f-7a8e-4d40-8baa-1530aabb2bab · outbound
This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.
LAION-5B: An open large-scale dataset for training next generation image-text models Flamingo: a Visual Language Model for Few-Shot Learning
Reference 2
- Resolution
- verified exact
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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.
Observation d9afbb43-61e9-4cdc-8932-6ace7b9e14e7 · outbound
This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.
LAION-5B: An open large-scale dataset for training next generation image-text models Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 84bfd6d1-54a7-47f1-b139-b9bc2a7300c9 · outbound
This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.
LAION-5B: An open large-scale dataset for training next generation image-text models Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f20d21e1-0687-4ae5-b225-c42ccb86aabf · outbound
This paper cites Large image datasets: A pyrrhic win for computer vision? InProceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), pages 1536–1546.
LAION-5B: An open large-scale dataset for training next generation image-text models Large image datasets: A pyrrhic win for computer vision? InProceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), pages 1536–1546
Reference 5
- Resolution
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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.
Observation 0758d398-0802-448c-8e4e-0075ca4b438a · outbound
This paper cites Multimodaldatasets: misogyny, pornography, and malignant stereotypes.
LAION-5B: An open large-scale dataset for training next generation image-text models Multimodaldatasets: misogyny, pornography, and malignant stereotypes
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6fde7f0c-dceb-4d73-ab8a-6b85f0beb8c3 · outbound
This paper cites Food-101–mining discriminative components with random forests.
LAION-5B: An open large-scale dataset for training next generation image-text models Food-101–mining discriminative components with random forests
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f59160fe-0b74-4412-bdfb-bc99276515b2 · outbound
This paper cites Language models are few-shot learners.
LAION-5B: An open large-scale dataset for training next generation image-text models Language models are few-shot learners
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 73890cc8-2891-427f-910f-a5bf5c6d3630 · outbound
This paper cites Language Models are Few-Shot Learners.
LAION-5B: An open large-scale dataset for training next generation image-text models Language Models are Few-Shot Learners
Reference 9
- Resolution
- verified exact
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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.
Observation 04fd5cc3-e4a4-436e-aa81-1224b848443d · outbound
This paper cites Cross-lingual and multilingual clip.
LAION-5B: An open large-scale dataset for training next generation image-text models Cross-lingual and multilingual clip
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 977f92ad-a6fe-4d92-8af4-e8dcf258ff22 · outbound
This paper cites Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts.
LAION-5B: An open large-scale dataset for training next generation image-text models Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts
Reference 11
- Resolution
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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.
Observation 49b5559a-a828-487c-a666-12a4407f1e5f · outbound
This paper cites Describing Textures in the Wild.
LAION-5B: An open large-scale dataset for training next generation image-text models Describing Textures in the Wild
Reference 12
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 2a98c442-0915-4051-a7e0-1c90267fb4e0 · outbound
This paper cites Imagenet: A large- scale hierarchical image database.
LAION-5B: An open large-scale dataset for training next generation image-text models Imagenet: A large- scale hierarchical image database
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 9883e51e-1aa4-4c83-b205-dc56eb6ee62e · outbound
This paper cites RedCaps: web-curated image-text data created by the people, for the people.
LAION-5B: An open large-scale dataset for training next generation image-text models RedCaps: web-curated image-text data created by the people, for the people
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:22:17.136475Z
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.
Observation ee4dfd04-7169-4111-ad8c-0b0857b8b7d8 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
LAION-5B: An open large-scale dataset for training next generation image-text models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 15
- Resolution
- verified exact
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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.
Observation 50c783e0-9192-44ba-a618-f75dd5eebee0 · outbound
This paper cites MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning.
LAION-5B: An open large-scale dataset for training next generation image-text models MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning
Reference 16
- Resolution
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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.
Observation 62120ce5-2ff9-4bf1-84fd-5235da044291 · outbound
This paper cites CLIP on wheels: Zero-shot object navigation as object localization and exploration.
LAION-5B: An open large-scale dataset for training next generation image-text models CLIP on wheels: Zero-shot object navigation as object localization and exploration
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation db113981-9639-4705-aa81-278f89bcedb9 · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
LAION-5B: An open large-scale dataset for training next generation image-text models The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation b135d550-b885-4e7d-aa7c-41e083e44ffd · outbound
This paper cites PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining.
LAION-5B: An open large-scale dataset for training next generation image-text models PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
Reference 19
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation dd954bc3-f101-4e76-bf35-0cd01c07adaa · outbound
This paper cites Just: Large-scale multi-tier storage infrastructure at the jülich supercomputing centre.
LAION-5B: An open large-scale dataset for training next generation image-text models Just: Large-scale multi-tier storage infrastructure at the jülich supercomputing centre
Reference 20
- Resolution
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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.
Observation 2639c8cc-aa86-4cdb-9214-55ba8781bf43 · outbound
This paper cites Vector Quantized Diffusion Model for Text-to-Image Synthesis.
LAION-5B: An open large-scale dataset for training next generation image-text models Vector Quantized Diffusion Model for Text-to-Image Synthesis
Reference 21
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation c32dfee0-a0ac-4798-b943-9309a27e2dd8 · outbound
This paper cites Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip C.
LAION-5B: An open large-scale dataset for training next generation image-text models Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip C
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 46bb2bbe-b152-407c-9ddc-6a9df46af14f · outbound
This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.
LAION-5B: An open large-scale dataset for training next generation image-text models The many faces of robustness: A critical analysis of out-of-distribution generalization
Reference 23
- Resolution
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Observation bc4bed24-fd2b-4d4e-bf15-670d4ab9e1f1 · outbound
This paper cites Natural adversarial examples.
LAION-5B: An open large-scale dataset for training next generation image-text models Natural adversarial examples
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation e27049b8-84ce-4bf0-9cb9-5344cf53bf4c · outbound
This paper cites Natural Adversarial Examples.
LAION-5B: An open large-scale dataset for training next generation image-text models Natural Adversarial Examples
Reference 25
- Resolution
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Observation 8ba3aa5b-d7dd-4656-97e5-249449d7553c · outbound
This paper cites Scaling Up Vision-Language Pre-training for Image Captioning.
LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Up Vision-Language Pre-training for Image Captioning
Reference 26
- Resolution
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Observation b3cc8200-00d3-4239-96da-96381479b2a6 · outbound
This paper cites Openclip, July 2021.
LAION-5B: An open large-scale dataset for training next generation image-text models Openclip, July 2021
Reference 27
- Resolution
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Observation f0e83b57-fdfe-46bf-9ec6-98f03ef143af · outbound
This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.
LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Reference 28
- Resolution
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Observation 6f7d42ea-f004-4c06-a7c5-4950312dedc6 · outbound
This paper cites JUWELS Booster Supercomputer, 2020.https://apps.fz- juelich.de/jsc/hps/juwels/configuration.html#hardware-configuration-of-the-sys tem-name-booster-module.
LAION-5B: An open large-scale dataset for training next generation image-text models JUWELS Booster Supercomputer, 2020.https://apps.fz- juelich.de/jsc/hps/juwels/configuration.html#hardware-configuration-of-the-sys tem-name-booster-module
Reference 29
- Resolution
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e7eda4a6-ee56-4ccd-b6fe-96f04e655ec8 · outbound
This paper cites Scaling Laws for Neural Language Models.
LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Laws for Neural Language Models
Reference 30
- Resolution
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Observation 351f10ba-a9ca-46b0-a8c4-49250cf01010 · outbound
This paper cites Deep visual-semantic alignments for generating image descrip- tions.
LAION-5B: An open large-scale dataset for training next generation image-text models Deep visual-semantic alignments for generating image descrip- tions
Reference 31
- Resolution
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Observation bd4c3176-4c99-4d22-b325-8bde8af620d9 · outbound
This paper cites Simple but Effective: CLIP Embeddings for Embodied AI.
LAION-5B: An open large-scale dataset for training next generation image-text models Simple but Effective: CLIP Embeddings for Embodied AI
Reference 32
- Resolution
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Observation 075513e8-ceb5-4fb2-a30e-ed8e6b18b91a · outbound
This paper cites Big transfer (bit): General visual representation learning.
LAION-5B: An open large-scale dataset for training next generation image-text models Big transfer (bit): General visual representation learning
Reference 33
- Resolution
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Observation 5c3bdd48-021d-4911-adfa-0010a800d04c · outbound
This paper cites Do Better ImageNet Models Transfer Better?.
LAION-5B: An open large-scale dataset for training next generation image-text models Do Better ImageNet Models Transfer Better?
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation fc02bfc5-7080-42e0-87ab-b23bf382df65 · outbound
This paper cites 3d object representations for fine- grained categorization.
LAION-5B: An open large-scale dataset for training next generation image-text models 3d object representations for fine- grained categorization
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation a3dc6e01-f26c-41e8-904c-9651b9a60932 · outbound
This paper cites 3D Object Representations for Fine-Grained Categorization.
LAION-5B: An open large-scale dataset for training next generation image-text models 3D Object Representations for Fine-Grained Categorization
Reference 36
- Resolution
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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.
Observation 77c7f31f-3daf-4a54-a2ff-d46a406e9714 · outbound
This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123(1):32–73.
LAION-5B: An open large-scale dataset for training next generation image-text models Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123(1):32–73
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation 3bf90083-396a-4e75-86e0-8bfb75036b68 · outbound
This paper cites Learning multiple layers of features from tiny images.
LAION-5B: An open large-scale dataset for training next generation image-text models Learning multiple layers of features from tiny images
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation 93313354-edc0-40b6-9134-6a1ca1674e7e · outbound
This paper cites an unresolved cited work.
LAION-5B: An open large-scale dataset for training next generation image-text models Unresolved cited work
Reference 39
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Observation c06b7ab3-46f1-41cb-b9b3-9b875fce4bca · outbound
This paper cites LANTERN-RD: Enabling Deep Learning for Mitigation of the Invasive Spotted Lanternfly.
LAION-5B: An open large-scale dataset for training next generation image-text models LANTERN-RD: Enabling Deep Learning for Mitigation of the Invasive Spotted Lanternfly
Reference 40
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Observation c247f732-531f-462d-b06d-799594784d17 · outbound
This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.IJCV.
LAION-5B: An open large-scale dataset for training next generation image-text models The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.IJCV
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation 96240345-3d7c-40eb-b3cd-58505ce374ed · outbound
This paper cites The bigscience roots corpus: A 1.6 tb composite multilingual dataset.
LAION-5B: An open large-scale dataset for training next generation image-text models The bigscience roots corpus: A 1.6 tb composite multilingual dataset
Reference 42
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Source-reported events for the cited work
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Observation 377b89df-247a-4d3d-8eb8-47b7f3499404 · outbound
This paper cites Learning visual n-grams from web data.
LAION-5B: An open large-scale dataset for training next generation image-text models Learning visual n-grams from web data
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation 593de29b-f42b-43f9-a565-bfa484b3952f · outbound
This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.
LAION-5B: An open large-scale dataset for training next generation image-text models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Reference 45
- Resolution
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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.
Observation 92a1f2c6-a5eb-44c4-bcad-dc6b8543980f · outbound
This paper cites Microsoft coco: Common objects in context.
LAION-5B: An open large-scale dataset for training next generation image-text models Microsoft coco: Common objects in context
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f25176e3-5c14-4cf6-adec-6584fc2053aa · outbound
This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.
LAION-5B: An open large-scale dataset for training next generation image-text models Pseudo Numerical Methods for Diffusion Models on Manifolds
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- verified exact
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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.
Observation 7c6adbe7-fdf4-44d1-8adf-2345bbeac63f · outbound
This paper cites Exploring the limits of weakly supervised pretraining.
LAION-5B: An open large-scale dataset for training next generation image-text models Exploring the limits of weakly supervised pretraining
Reference 48
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7f0a1c13-f039-4800-b50e-c4ee381e43cb · outbound
This paper cites Generating Images from Captions with Attention.
LAION-5B: An open large-scale dataset for training next generation image-text models Generating Images from Captions with Attention
Reference 49
- Resolution
- verified exact
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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.
Observation 4c07b8d1-870d-44c7-a42e-9d0eabadbbdf · outbound
This paper cites Ciagan: Conditional identity anonymiza- tion generative adversarial networks.
LAION-5B: An open large-scale dataset for training next generation image-text models Ciagan: Conditional identity anonymiza- tion generative adversarial networks
Reference 50
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 28cf3391-89a0-4c0e-baed-8b155c0cfd50 · outbound
This paper cites Model cards for model reporting.
LAION-5B: An open large-scale dataset for training next generation image-text models Model cards for model reporting
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.534000Z
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.
Observation 7f11e737-20da-46c7-9a1c-c8852ac93363 · outbound
This paper cites ClipCap: CLIP Prefix for Image Captioning.
LAION-5B: An open large-scale dataset for training next generation image-text models ClipCap: CLIP Prefix for Image Captioning
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T14:22:17.333000Z
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.
Observation ba7d5c4d-b1bf-432d-ad8e-43654c0f65b0 · outbound
This paper cites Image-to-word transformation based on dividing and vector quantizing images with words.
LAION-5B: An open large-scale dataset for training next generation image-text models Image-to-word transformation based on dividing and vector quantizing images with words
Reference 53
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6f5b3679-79c7-4b92-8bb6-b8cdaac00ff1 · outbound
This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
LAION-5B: An open large-scale dataset for training next generation image-text models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T14:22:17.338741Z
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.
Observation f0100cd5-a32d-430a-a4f3-71203250066b · outbound
This paper cites cld3: Google’s Compact Language Detector 3.
LAION-5B: An open large-scale dataset for training next generation image-text models cld3: Google’s Compact Language Detector 3
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.560610Z
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.
Observation 28196d98-8de3-471c-a22f-2ec5cd5c57da · outbound
This paper cites Combined Scaling for Zero-shot Transfer Learning.
LAION-5B: An open large-scale dataset for training next generation image-text models Combined Scaling for Zero-shot Transfer Learning
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:22:17.351271Z
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.
Observation c93a8d30-1cae-47fa-bf39-b7076e693b2e · outbound
This paper cites Connecting vision and language with localized narratives.
LAION-5B: An open large-scale dataset for training next generation image-text models Connecting vision and language with localized narratives
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.571377Z
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.
Observation 3753821e-a498-4616-bfe7-6711b04bc1f1 · outbound
This paper cites Learning visual representations using images with captions.
LAION-5B: An open large-scale dataset for training next generation image-text models Learning visual representations using images with captions
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.575062Z
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.
Observation ca55c9cb-afb3-4525-b1ab-0b31d8976616 · outbound
This paper cites Learning Transferable Visual Models From Natural Language Supervision.
LAION-5B: An open large-scale dataset for training next generation image-text models Learning Transferable Visual Models From Natural Language Supervision
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T14:22:17.364966Z
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.
Observation 0ab6294b-f71d-4572-9ca8-f0a6e5b07464 · outbound
This paper cites Learning transferable visual models from natural language supervision.
LAION-5B: An open large-scale dataset for training next generation image-text models Learning transferable visual models from natural language supervision
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.590634Z
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.
Observation 75ed9063-47eb-4890-a334-3c92310e7798 · outbound
This paper cites Zero-Shot Text-to-Image Generation.
LAION-5B: An open large-scale dataset for training next generation image-text models Zero-Shot Text-to-Image Generation
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:26:09.277502Z
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.
Observation 5acb2e29-5d20-43e7-a2c8-99f61167b218 · outbound
This paper cites Hierarchical text-conditional image generation with clip latents.
LAION-5B: An open large-scale dataset for training next generation image-text models Hierarchical text-conditional image generation with clip latents
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.605964Z
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.
Observation fedfcf40-1dd0-4357-9495-09013ca271d1 · outbound
This paper cites Do ImageNet classifiers generalize to ImageNet? InInternational Conference on Machine Learning (ICML).
LAION-5B: An open large-scale dataset for training next generation image-text models Do ImageNet classifiers generalize to ImageNet? InInternational Conference on Machine Learning (ICML)
Reference 63
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0298e9fd-b984-4f6d-9ead-9b141fa8962f · outbound
This paper cites Do ImageNet Classifiers Generalize to ImageNet?.
LAION-5B: An open large-scale dataset for training next generation image-text models Do ImageNet Classifiers Generalize to ImageNet?
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:22:17.378251Z
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.
Observation 0e3ee682-2494-4fe4-9448-36afa1a467b7 · outbound
This paper cites Generative adversarial text to image synthesis.
LAION-5B: An open large-scale dataset for training next generation image-text models Generative adversarial text to image synthesis
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.637358Z
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.
Observation 99c14692-d454-403d-bc4b-6462010a28e7 · outbound
This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.
LAION-5B: An open large-scale dataset for training next generation image-text models High-Resolution Image Synthesis with Latent Diffusion Models
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T14:22:17.392195Z
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.
Observation 6f1e12cd-4412-4ffc-9f4c-3874561cbb15 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
LAION-5B: An open large-scale dataset for training next generation image-text models High-resolution image synthesis with latent diffusion models
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.649403Z
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.
Observation 53e2f703-0d88-4e74-9870-7da28d34d954 · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge.
LAION-5B: An open large-scale dataset for training next generation image-text models ImageNet Large Scale Visual Recognition Challenge
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- Resolution
- metadata mismatch
- doi, observed 2026-05-13T14:22:17.128586Z
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.
Observation cdec15e4-15cf-4b02-bfc0-df905fb195e2 · outbound
This paper cites Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.
LAION-5B: An open large-scale dataset for training next generation image-text models Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.667437Z
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.
Observation 95a19437-c64f-4dc5-ae0b-3f21f3f76fa9 · outbound
This paper cites Clipfa: Connecting farsi text and images.https://github.com /SajjjadAyobi/CLIPfa.
LAION-5B: An open large-scale dataset for training next generation image-text models Clipfa: Connecting farsi text and images.https://github.com /SajjjadAyobi/CLIPfa
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.673465Z
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.
Observation 12c6b57d-4c74-4564-9434-a875b925e213 · outbound
This paper cites an unresolved cited work.
LAION-5B: An open large-scale dataset for training next generation image-text models Unresolved cited work
Reference 71
- Resolution
- unresolved
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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.
Observation 16dbfd94-8af3-4dbe-b549-d1cb5cafde6f · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
LAION-5B: An open large-scale dataset for training next generation image-text models LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T14:22:17.398100Z
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.
Observation 632a8e8d-1360-43df-976c-5561912a2dae · outbound
This paper cites Do image classifiers generalize across time?, 2019.https://arxiv.org/abs/1906.0 2168.
LAION-5B: An open large-scale dataset for training next generation image-text models Do image classifiers generalize across time?, 2019.https://arxiv.org/abs/1906.0 2168
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- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.716368Z
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.
Observation 2f0752b8-1908-4ec7-a961-64161091f642 · outbound
This paper cites Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning.
LAION-5B: An open large-scale dataset for training next generation image-text models Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
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- Resolution
- verified exact
- doi, observed 2026-05-13T14:22:17.120567Z
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.
Observation 13ebeee1-ad8b-49bf-9ba1-1854afecb28b · outbound
This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.
LAION-5B: An open large-scale dataset for training next generation image-text models How Much Can CLIP Benefit Vision-and-Language Tasks?
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- verified exact
- arxiv_id, observed 2026-05-13T14:22:17.404806Z
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.
Observation d4204377-1308-4e86-bd0f-67011a6bdef9 · outbound
This paper cites Japanese clip.https://github.com/rinnakk/japanese-clip, May 2022.
LAION-5B: An open large-scale dataset for training next generation image-text models Japanese clip.https://github.com/rinnakk/japanese-clip, May 2022
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- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.733798Z
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.
Observation 2a739d6c-be95-4e6d-aa1a-a61268c9806c · outbound
This paper cites Koclip.https://github.com/jaketae/koc lip, 20201.
LAION-5B: An open large-scale dataset for training next generation image-text models Koclip.https://github.com/jaketae/koc lip, 20201
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- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.742546Z
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.
Observation d0c12487-2601-4516-bf19-7f306e75d1e1 · outbound
This paper cites Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning.
LAION-5B: An open large-scale dataset for training next generation image-text models Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Reference 78
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.759437Z
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.
Observation d6baf8c9-1361-43fb-90d4-e65d07fd135d · outbound
This paper cites Image representations learned with unsupervised pre-training contain human-like biases.
LAION-5B: An open large-scale dataset for training next generation image-text models Image representations learned with unsupervised pre-training contain human-like biases
Reference 79
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.763688Z
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.
Observation e96a7139-a404-40e8-9a66-927fac01fcb8 · outbound
This paper cites Revisiting unreasonable effectiveness of data in deep learning era.
LAION-5B: An open large-scale dataset for training next generation image-text models Revisiting unreasonable effectiveness of data in deep learning era
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.771892Z
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.
Observation ad1e7fa0-13da-4d67-a442-0834dfef22f7 · outbound
This paper cites Measuring robustness to natural distribution shifts in image classification.Advances in Neural Information Processing Systems, 33:18583–18599.
LAION-5B: An open large-scale dataset for training next generation image-text models Measuring robustness to natural distribution shifts in image classification.Advances in Neural Information Processing Systems, 33:18583–18599
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- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.781908Z
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.
Observation 8ec29e37-e9f7-4c83-b7b3-00a88d4bc1c2 · outbound
This paper cites Yfcc100m: The new data in multimedia research.Communications of the ACM, 59(2):64–73.
LAION-5B: An open large-scale dataset for training next generation image-text models Yfcc100m: The new data in multimedia research.Communications of the ACM, 59(2):64–73
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- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.791763Z
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.
Observation c53690b6-c1cd-4e45-93c4-adf5a0a852c9 · outbound
This paper cites Multimodal few-shot learning with frozen language models.Advances in Neural Information Processing Systems, 34:200–212.
LAION-5B: An open large-scale dataset for training next generation image-text models Multimodal few-shot learning with frozen language models.Advances in Neural Information Processing Systems, 34:200–212
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.812882Z
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.
Observation 9046ba01-1b59-4e23-bda5-5b741aaaddd9 · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30.
LAION-5B: An open large-scale dataset for training next generation image-text models Attention is all you need.Advances in neural information processing systems, 30
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- raw_fallback, observed 2026-05-13T14:22:17.822119Z
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.
Observation d0d0e904-5f80-44ca-9ed7-64676e635ef2 · outbound
This paper cites Learning Robust Global Representations by Penalizing Local Predictive Power.
LAION-5B: An open large-scale dataset for training next generation image-text models Learning Robust Global Representations by Penalizing Local Predictive Power
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- metadata mismatch
- arxiv_id, observed 2026-05-13T14:22:17.411147Z
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.
Observation 5b438f4e-de19-4a95-a8e2-cd65cb3e9232 · outbound
This paper cites Large scale image annotation: learning to rank with joint word-image embeddings.Machine learning, 81(1):21–35.
LAION-5B: An open large-scale dataset for training next generation image-text models Large scale image annotation: learning to rank with joint word-image embeddings.Machine learning, 81(1):21–35
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.863193Z
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.
Observation b1c5a6a4-7627-48a9-9121-dd4ea04c125f · outbound
This paper cites Robust fine-tuning of zero-shot models.
LAION-5B: An open large-scale dataset for training next generation image-text models Robust fine-tuning of zero-shot models
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- metadata mismatch
- arxiv_id, observed 2026-05-13T14:22:17.430390Z
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.
Observation 7fac60f6-39ec-4929-b8d9-3ad86dcf0d76 · outbound
This paper cites Yang You, Jing Li, Sashank J.
LAION-5B: An open large-scale dataset for training next generation image-text models Yang You, Jing Li, Sashank J
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- metadata mismatch
- doi, observed 2026-05-13T14:22:17.114676Z
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.
Observation d13a6af9-1a6b-459a-830c-3a3c45a6ab7a · outbound
This paper cites Show, attend and tell: Neural image caption generation with visual attention.
LAION-5B: An open large-scale dataset for training next generation image-text models Show, attend and tell: Neural image caption generation with visual attention
Reference 89
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.541687Z
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.
Observation fdf90977-9bf3-40fb-b745-d9a763ec6418 · outbound
This paper cites A study of face obfuscation in imagenet.
LAION-5B: An open large-scale dataset for training next generation image-text models A study of face obfuscation in imagenet
Reference 90
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- verified fuzzy
- raw_fallback, observed 2026-05-13T14:22:17.555343Z
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.
Observation 7712b7bd-b50b-4b34-bab9-ec8aaffa5396 · outbound
This paper cites doi: 10.1162/tacl_a_00166.
LAION-5B: An open large-scale dataset for training next generation image-text models doi: 10.1162/tacl_a_00166
Reference 91
- Resolution
- verified exact
- doi, observed 2026-05-13T14:22:17.108946Z
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.
Observation aaf81504-946c-4a3e-a200-948c5d85b3d9 · outbound
This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.
LAION-5B: An open large-scale dataset for training next generation image-text models CoCa: Contrastive Captioners are Image-Text Foundation Models
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- verified exact
- arxiv_id, observed 2026-05-15T10:53:08.606863Z
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.
Observation 55fb41e9-13c6-47fe-ab76-b0d73638b582 · outbound
This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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- verified exact
- local_arxiv, observed 2026-05-13T14:22:17.446645Z
Source-reported events for the cited work
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Observation 29eb3779-a7ea-4b5e-9c0c-a7991d6c29a7 · outbound
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LAION-5B: An open large-scale dataset for training next generation image-text models A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
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LAION-5B: An open large-scale dataset for training next generation image-text models LiT: Zero-Shot Transfer with Locked-image text Tuning
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LAION-5B: An open large-scale dataset for training next generation image-text models Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
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LAION-5B: An open large-scale dataset for training next generation image-text models General Facial Representation Learning in a Visual-Linguistic Manner
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Pith citing papers
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Aligning Text-to-Image Models using Human Feedback LAION-5B: An open large-scale dataset for training next generation image-text models
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Sigmoid Loss for Language Image Pre-Training LAION-5B: An open large-scale dataset for training next generation image-text models
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Control and Realism: Best of Both Worlds in Layout-to-Image without Training LAION-5B: An open large-scale dataset for training next generation image-text models
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MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition LAION-5B: An open large-scale dataset for training next generation image-text models
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Transition Matching: Scalable and Flexible Generative Modeling LAION-5B: An open large-scale dataset for training next generation image-text models
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Region-based Cluster Discrimination for Visual Representation Learning LAION-5B: An open large-scale dataset for training next generation image-text models
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HPSv3: Towards Wide-Spectrum Human Preference Score LAION-5B: An open large-scale dataset for training next generation image-text models
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Exploring Palette based Color Guidance in Diffusion Models cites this paper.
Exploring Palette based Color Guidance in Diffusion Models LAION-5B: An open large-scale dataset for training next generation image-text models
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Unavailable: canonical work link unavailable.
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Making AI Drafts Count: A Quality Threshold in Audio Description Workflows cites this paper.
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Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs cites this paper.
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MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation cites this paper.
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
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FullFlow: Upgrading Text-to-Image Flow Matching Models for Bidirectional Vision--Language Generation cites this paper.
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
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Findings of the Counter Turing Test: AI-Generated Image Detection LAION-5B: An open large-scale dataset for training next generation image-text models
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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.
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Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment cites this paper.
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Source-reported events for the cited work
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Observation 223e80ae-1f4e-4695-b610-02facb2c57f8 · inbound
AVBench: Human-Aligned and Automated Evaluation Benchmark for Audio-Video Generative Models cites this paper.
AVBench: Human-Aligned and Automated Evaluation Benchmark for Audio-Video Generative Models LAION-5B: An open large-scale dataset for training next generation image-text models
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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.
Observation b69f684f-6970-49bf-a80e-a9de4fb4e795 · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 93
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T11:46:55.341383Z
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.
Observation 8c029bbc-e575-4b3d-8208-df03862d5c4b · inbound
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T17:18:43.744984Z
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.
Observation 6eb2c390-d9db-4510-a6bb-e6cf8f6cfa1c · inbound
MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation cites this paper.
MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T15:59:56.585487Z
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.
Observation fac4ece3-a65c-4171-8bce-2a40e81aa8d0 · inbound
Qwen-Audio-VAE Technical Report cites this paper.
Qwen-Audio-VAE Technical Report LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T03:31:19.309532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9f7aa2d-de93-42b1-820e-4959b6c1a5c1 · inbound
Learning Sampling Parameters for Diffusion Models cites this paper.
Learning Sampling Parameters for Diffusion Models LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T21:02:13.285052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.