Paper Citation Record · LEDGER

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

As of 11 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 100 inbound Pith citation observations for arXiv:2206.10789.

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

pith.paper-citation-record.v1
2206.10789 v1

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:49:30.873360Z

measured 199 of 199 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 100 of 171 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:39:36.759706Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

99 of 99 outbound references displayed

verified exact22
verified fuzzy69
unresolved1
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External citation measurements

340
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bc14b55e-31fb-492b-b253-d76c946e8db3 · outbound

This paper cites Introducing pathways: A next-generation ai architecture.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Introducing pathways: A next-generation ai architecture

Reference 1

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Observation c98725d8-a553-4cc4-85d5-465ec6b806ba · outbound

This paper cites Zero-shot text-to-image generation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Zero-shot text-to-image generation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.587287Z

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Observation 3c2b7fd0-e299-4b4c-b971-f21e8358ef59 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Cogview: Mastering text-to-image generation via transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.591715Z

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Observation 3bcc3d32-7601-4dec-9514-e5552e66bfc6 · outbound

This paper cites Attention is all you need.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Attention is all you need

Reference 4

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Observation 936e10fd-d240-4a20-b291-8099e71d41df · outbound

This paper cites Discrete Variational Autoencoders.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Discrete Variational Autoencoders

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.033281Z

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Observation 1149fe5e-a39d-400b-86e7-44e55f73db09 · outbound

This paper cites Neural discrete representation learning.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Neural discrete representation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.609894Z

Source-reported events for the cited work

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Observation 828bd678-9ec1-45f1-b097-7da471cd18b5 · outbound

This paper cites Improving language understanding by generative pre-training.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Improving language understanding by generative pre-training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.618358Z

Source-reported events for the cited work

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Observation 4d4d2ce9-baf4-4c3a-9bd3-b4dbe0aabd2e · outbound

This paper cites Conceptual 12M: Pushing web-scale image-text pre-training to recognize long-tail visual concepts.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Conceptual 12M: Pushing web-scale image-text pre-training to recognize long-tail visual concepts

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.622593Z

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Observation 1f394c72-f280-492d-813a-35c6bf0e1ae0 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Scaling up visual and vision-language representation learning with noisy text supervision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.629644Z

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Observation 69afec39-e1a1-4aad-8f38-061e7d1ca95f · outbound

This paper cites Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 10

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Observation af9d287a-d262-45be-812f-29ab0cc11cc6 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 11

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Observation 45786d5f-b4f9-4f79-b8fa-2cef30ee3539 · outbound

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

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:49:31.067347Z

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Observation 7e9dd7e4-914e-435a-95a3-1c5ab55d28f1 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:38:54.138183Z

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Observation 3bd4ea1e-c251-4b61-9239-40ac06581b8c · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.655922Z

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Observation 498d97f3-828e-43d4-b139-db3d53c746a5 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Diffusion models beat gans on image synthesis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.663780Z

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Observation f80132c1-4209-4e97-b47c-e624b046e93c · outbound

This paper cites Microsoft coco: Common objects in context.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Microsoft coco: Common objects in context

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.669823Z

Source-reported events for the cited work

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Observation cd5cbc39-ffc3-4855-82bd-4e725b357203 · outbound

This paper cites Language models are few-shot learners.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Language models are few-shot learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.673381Z

Source-reported events for the cited work

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Observation 1ff6f802-2b3d-47f3-b04c-411acc00d009 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation LaMDA: Language Models for Dialog Applications

Reference 18

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Observation 545b5eed-f442-4098-ae5f-386a3b60a53f · outbound

This paper cites GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Reference 19

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Observation 50324ecb-9037-446b-ab62-313e7939e255 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Vector-quantized Image Modeling with Improved VQGAN

Reference 21

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Observation 05a7cb37-7bfd-4930-9c01-21472b2178b6 · outbound

This paper cites Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss

Reference 22

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Observation 04016ebf-6b02-4846-90c0-323f59c02367 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:49:31.123367Z

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Observation bd23425f-c046-4e9b-84e8-d2ff0a2b1a2f · outbound

This paper cites Towards a Human-like Open-Domain Chatbot.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Towards a Human-like Open-Domain Chatbot

Reference 24

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Observation 8131ddf4-a86e-403d-bc15-313b37c409a2 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 25

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Observation 143e13db-4f46-4d62-b1ab-0f08c017fa60 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Taming transformers for high-resolution image synthesis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.721279Z

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Observation fa79bcbc-fab3-422d-932a-f0ae2ed8c317 · outbound

This paper cites Megatron-lm: Training multi-billion parameter language models using model parallelism.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Megatron-lm: Training multi-billion parameter language models using model parallelism

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.724620Z

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Observation 7e74ebce-cb32-4e25-bce1-eac787778fe4 · outbound

This paper cites GSPMD: General and Scalable Parallelization for ML Computation Graphs.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation GSPMD: General and Scalable Parallelization for ML Computation Graphs

Reference 28

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Observation 00235bea-dff7-4c0f-946a-797dc8a4f904 · outbound

This paper cites Connecting vision and language with localized narratives.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Connecting vision and language with localized narratives

Reference 29

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Observation 3dbc4469-1055-4b02-962b-f97599fe5eea · outbound

This paper cites Generative pretraining from pixels.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Generative pretraining from pixels

Reference 30

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Observation 137f2d6e-6044-4aec-9c16-0989e9b915ad · outbound

This paper cites Wide Activation for Efficient and Accurate Image Super-Resolution.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Wide Activation for Efficient and Accurate Image Super-Resolution

Reference 31

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Observation 1bb5d6e5-2884-46d7-b5a7-f2085104e115 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Neural Machine Translation of Rare Words with Subword Units

Reference 32

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Observation 877876c2-074e-40cf-8d92-1a77a40abf1a · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 33

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Observation 7eca41e1-ceb2-4e39-aacf-7fd5677feeee · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Generating Long Sequences with Sparse Transformers

Reference 34

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Observation c6204cef-b5c7-47c8-8159-84e249a78260 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 35

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Observation c703b258-e8b4-4ce4-9322-f091c0240866 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 36

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Observation 4a03492d-8135-4a75-97d4-7b2f4a20d2f3 · outbound

This paper cites Classiﬁer-free diffusion guidance.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Classiﬁer-free diffusion guidance

Reference 37

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Observation ef326a36-0001-43ef-ba0a-901466d2783a · outbound

This paper cites Classiﬁer free guidance for autoregressive transformers.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Classiﬁer free guidance for autoregressive transformers

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.377792Z

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Observation c569a808-39c0-4161-b83a-8a148736d3bc · outbound

This paper cites Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:25:00.242485Z

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Observation 06281e1a-070e-4deb-9e6a-c4ff25376b5f · outbound

This paper cites Le, Yonghui Wu, and Zhifeng Chen.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Le, Yonghui Wu, and Zhifeng Chen

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.389060Z

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Observation 7491df29-2d76-43ea-adc5-8af51716372e · outbound

This paper cites Efﬁcient large-scale language model training on gpu clusters using megatron-lm.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Efﬁcient large-scale language model training on gpu clusters using megatron-lm

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.399425Z

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Observation 378d248c-f965-4e02-9190-6f8e9a51d07c · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Adafactor: Adaptive learning rates with sublinear memory cost

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.410042Z

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Observation cfa0a83a-5a53-407f-8f97-9ff47245f3a5 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:01.130308Z

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Observation ce2162a6-d9f8-435a-a5a5-e14e7aae0bdc · outbound

This paper cites Scaling vision trans- formers.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Scaling vision trans- formers

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.420494Z

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Observation eed7dac8-d443-494c-8abe-df58544933c5 · outbound

This paper cites SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:49:31.252855Z

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Observation 98aa7198-2109-4a10-a9ee-40b344173f80 · outbound

This paper cites Text-to-image generation grounded by ﬁne-grained user attention.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Text-to-image generation grounded by ﬁne-grained user attention

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.432097Z

Source-reported events for the cited work

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Observation 04ec64ab-5066-4e41-948b-ff1fbc4be3f9 · outbound

This paper cites Cross-modal contrastive learning for text-to-image generation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Cross-modal contrastive learning for text-to-image generation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.436158Z

Source-reported events for the cited work

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Observation fc56d227-404f-4e5a-8a2d-519b26719380 · outbound

This paper cites Benchmark for compositional text-to-image synthesis.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Benchmark for compositional text-to-image synthesis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.443984Z

Source-reported events for the cited work

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Observation 3ee3cc0d-44c2-4742-a9a1-e5ad6544a394 · outbound

This paper cites Vector Quantized Diffusion Model for Text-to-Image Synthesis.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.260695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbca2ccf-b9b8-4b30-ad1a-daa809c88995 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Scaling up visual and vision-language representation learning with noisy text supervision

Reference 50

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Observation 60cbf6a9-7dbf-48fc-b45c-5f356ef8902a · outbound

This paper cites Accelerating large-scale inference with anisotropic vector quantization.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Accelerating large-scale inference with anisotropic vector quantization

Reference 51

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Observation 26047782-7f48-444a-91d8-9ae4f4f01ab2 · outbound

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

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 52

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Observation 0b012cc9-0104-45f7-8d46-91263668a923 · outbound

This paper cites Re- thinking the inception architecture for computer vision.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Re- thinking the inception architecture for computer vision

Reference 53

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Observation f2a79930-87ac-4367-809a-7b1bd23eeae0 · outbound

This paper cites AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.475897Z

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Observation 078c06e0-abb8-4316-ba83-53463e646c7c · outbound

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

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.486349Z

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Observation e5cbe754-66c4-4f35-89f7-a4540b90dd5a · outbound

This paper cites Unifying vision-and-language tasks via text generation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Unifying vision-and-language tasks via text generation

Reference 56

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Observation 5e496484-b211-485f-95ad-f4e8ddbabeaf · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Bleu: a method for automatic evaluation of machine translation

Reference 57

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Observation 79ed99c4-235c-474b-a436-0873eea9d43f · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Lawrence Zitnick, and Devi Parikh

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.506731Z

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Observation 07f1d6e4-64ba-43b3-a97b-de8d625015d8 · outbound

This paper cites Meteor universal: Language speciﬁc translation evalua- tion for any target language.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Meteor universal: Language speciﬁc translation evalua- tion for any target language

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.511991Z

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Observation c0d00522-1d6c-43b4-94f4-317f116f5fc4 · outbound

This paper cites SPICE: Semantic Propositional Image Caption Evaluation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation SPICE: Semantic Propositional Image Caption Evaluation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.517421Z

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Observation 8c4d1e65-12d7-4008-90f3-000fd769abec · outbound

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

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Cogview2: Faster and better text-to- image generation via hierarchical transformers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.522321Z

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Observation 1f94c185-79d8-4e82-89a2-f87dce69d1de · outbound

This paper cites mindall-e on conceptual captions.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation mindall-e on conceptual captions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.528124Z

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Observation 351e33f4-d5a6-4193-abe4-e73fce1c3d8c · outbound

This paper cites X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers

Reference 63

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Observation 7ed17d4d-3339-43f6-ae5d-3d57d8f1d3c1 · outbound

This paper cites Deep visual-semantic alignments for generating image descriptions.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Deep visual-semantic alignments for generating image descriptions

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.538923Z

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Observation d3e075f2-626c-4030-9056-4b39d39ed05c · outbound

This paper cites How to marry a star: Probabilistic constraints for meaning in context.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation How to marry a star: Probabilistic constraints for meaning in context

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.543969Z

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Observation a6ba989b-45a6-4104-9702-77c2e931570d · outbound

This paper cites Wordseye: an automatic text-to-scene conversion system.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Wordseye: an automatic text-to-scene conversion system

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.550200Z

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Observation c9072070-eca4-4f6f-aa20-30a2a823162a · outbound

This paper cites Generative adversarial text to image synthesis.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Generative adversarial text to image synthesis

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.555183Z

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Observation ae0499a9-51b6-4d2b-9bd9-348702e53c03 · outbound

This paper cites StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.558785Z

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Observation 9ae4e39e-54bb-4ad9-b3c4-0a53f401a474 · outbound

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Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Unresolved cited work

Reference 69

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Observation 39b3f9d0-f299-4dab-9248-614c265f483d · outbound

This paper cites Learning what and where to draw.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Learning what and where to draw

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.566854Z

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Observation b9b2a0fe-b2b5-45ae-ae9e-9c6aa5c53710 · outbound

This paper cites Inferring semantic layout for hierarchical text-to-image synthesis.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Inferring semantic layout for hierarchical text-to-image synthesis

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.573248Z

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Observation a4d6adf4-3f47-42ce-9abd-f740df48e97a · outbound

This paper cites Generating multiple objects at spatially distinct locations.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Generating multiple objects at spatially distinct locations

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.578256Z

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Observation 9d15a21e-3156-468b-9f7a-5e0bf16ca814 · outbound

This paper cites Dall·e mini, 7 2021.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Dall·e mini, 7 2021

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.605957Z

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Observation 6e2c1129-6f29-4c6b-a1fd-d6d781f258ce · outbound

This paper cites MaskGIT: Masked Generative Image Transformer.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation MaskGIT: Masked Generative Image Transformer

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:49:31.287350Z

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Observation 16e94e7e-e41e-4bb5-b982-80daf11a579a · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation PaLM: Scaling Language Modeling with Pathways

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:49:31.295609Z

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Observation 7de39fc6-bd99-4eab-bd79-7b2d76bb6058 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Training Compute-Optimal Large Language Models

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:49:31.020705Z

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Observation 9ecbe2e2-4e51-4c53-97e9-f8eb645105a6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Learning transferable visual models from natural language supervision

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.650795Z

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Observation 7091d1df-f145-487e-8621-5e347984e964 · outbound

This paper cites Cascaded diffusion models for high ﬁdelity image generation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Cascaded diffusion models for high ﬁdelity image generation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.680855Z

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Observation b40d0471-b9e2-4fc3-b81c-212509fccde7 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Analyzing and improving the image quality of stylegan

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.687216Z

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Observation 216471d8-8cf4-4447-b34d-025fec080f40 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Perceptual losses for real-time style transfer and super-resolution

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.690922Z

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Observation d9e7c3d2-254f-405d-a860-71a6adc8f0cb · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.699162Z

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Observation b4c8d938-ab4b-495e-9712-209263673dce · outbound

This paper cites Anonymous paper under review.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Anonymous paper under review

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.710989Z

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Observation 2887472c-5a7a-4148-bf10-86834a88fc41 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation On the Opportunities and Risks of Foundation Models

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:49:31.301985Z

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Observation 35898be5-69dd-47eb-a369-e889fd4a237d · outbound

This paper cites Towards accountability for machine learning datasets: Practices from software engineering and infrastructure.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Towards accountability for machine learning datasets: Practices from software engineering and infrastructure

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.727890Z

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Observation 64c75d76-5a9f-4bc0-9221-e5e6c40dc688 · outbound

This paper cites On the genealogy of machine learning datasets: A critical history of ImageNet.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation On the genealogy of machine learning datasets: A critical history of ImageNet

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.331152Z

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Observation ad9abd1a-ccbb-45ef-a8dd-0c96a1bec59d · outbound

This paper cites Model cards for model reporting.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Model cards for model reporting

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.338893Z

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Observation fec16499-e3c3-408d-bdf4-0b2f3611aa81 · outbound

This paper cites Datasheets for datasets.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Datasheets for datasets

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.342826Z

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Observation 7f7eef7f-8a5b-44c4-83d9-854365b75b25 · outbound

This paper cites Data Cards: Purposeful and transparent dataset documentation for responsible AI.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Data Cards: Purposeful and transparent dataset documentation for responsible AI

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.348931Z

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Observation 91f1b8c1-bc63-41a7-bbfd-06145b98c72f · outbound

This paper cites Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.353081Z

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Observation f8b78fcd-5d49-4a78-a0ea-2406892275e1 · outbound

This paper cites Chatpainter: Improving text to image generation using dialogue.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Chatpainter: Improving text to image generation using dialogue

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.360345Z

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Observation 529981f9-fae5-4074-a160-7e05d9dcc656 · outbound

This paper cites Disability studies as a source of critical inquiry for the ﬁeld of assistive technology.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Disability studies as a source of critical inquiry for the ﬁeld of assistive technology

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.383296Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 193ebf13-2669-4203-aecc-cb975069b782 · outbound

This paper cites Who (or What) Is an AI Artist? Leonardo, 55(2):130–134, 04 2022.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Who (or What) Is an AI Artist? Leonardo, 55(2):130–134, 04 2022

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.416655Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15cc6739-3416-4b8a-bec5-ea085005e266 · outbound

This paper cites Biases in generative art: A causal look from the lens of art history.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Biases in generative art: A causal look from the lens of art history

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.427582Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 602d13d7-e314-413f-a54f-159907a83a75 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:21:29.028955Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6eb280d6-dc86-4fa3-a8ba-65c2ed3f8b33 · outbound

This paper cites Data-driven sentence simpliﬁ- cation: Survey and benchmark.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Data-driven sentence simpliﬁ- cation: Survey and benchmark

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.533990Z

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Observation 35589fa7-491a-40fc-9ccb-971b4dfcbdf2 · outbound

This paper cites Paraphrase generation: A survey of the state of the art.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Paraphrase generation: A survey of the state of the art

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.633229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d25f3bfd-87b3-4e96-9db8-6fb1efbef896 · outbound

This paper cites No classiﬁcation without representation: Assessing geodiversity issues in open data sets for the developing world.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation No classiﬁcation without representation: Assessing geodiversity issues in open data sets for the developing world

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.639303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2cdab732-07e4-4742-adcd-fc368d58528a · outbound

This paper cites Does object recognition work for everyone? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 52–59.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Does object recognition work for everyone? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 52–59

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.717350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba0c2444-b47e-45f3-8891-1a7d1449bd61 · outbound

This paper cites Distortion agnostic deep watermarking.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Distortion agnostic deep watermarking

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:49:31.447494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 204ebc01-8786-4186-960d-4bb4f74cd790 · outbound

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

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Multimodal datasets: misogyny, pornography, and malignant stereotypes

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.324161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation ed759494-4e47-4531-aed0-2fdbfb2b4bde · inbound

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion cites this paper.

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73f522ce-279b-4823-ac7c-cb65e3fada02 · inbound

Prompt-to-Prompt Image Editing with Cross Attention Control cites this paper.

Prompt-to-Prompt Image Editing with Cross Attention Control Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c9909b1-76e8-4c41-809e-253f5f0f18e2 · inbound

Make-A-Video: Text-to-Video Generation without Text-Video Data cites this paper.

Make-A-Video: Text-to-Video Generation without Text-Video Data Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

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Observation bb7fbf59-e28f-48f8-a0b2-545cdeb66394 · inbound

DreamFusion: Text-to-3D using 2D Diffusion cites this paper.

DreamFusion: Text-to-3D using 2D Diffusion Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 160

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

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Observation f9f0375e-9642-413a-bf1d-7ae6887d7bac · inbound

Imagen Video: High Definition Video Generation with Diffusion Models cites this paper.

Imagen Video: High Definition Video Generation with Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

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Observation a6cd0a22-c329-476d-b79c-1222b7d9ed4e · inbound

Phenaki: Variable Length Video Generation From Open Domain Textual Description cites this paper.

Phenaki: Variable Length Video Generation From Open Domain Textual Description Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-17T01:43:34.177769Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55fb41e9-13c6-47fe-ab76-b0d73638b582 · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-05-13T14:22:17.446645Z

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Observation 6dd858a3-a606-40fd-bb39-a89b27ce06c4 · inbound

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers cites this paper.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:44:22.842165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de0d3ea7-bcce-4e3f-84fa-e765473df9c3 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:53:21.931338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc1dfb85-3770-42c6-84d3-7b0887b400a7 · inbound

Continuous diffusion for categorical data cites this paper.

Continuous diffusion for categorical data Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:22.339640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96609aa2-9528-42b2-8e77-8c3b6ba190bd · inbound

Fast Inference from Transformers via Speculative Decoding cites this paper.

Fast Inference from Transformers via Speculative Decoding Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T22:52:00.223825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a244c0c-9f35-4558-992c-af6ed4c78b8b · inbound

Scalable Diffusion Models with Transformers cites this paper.

Scalable Diffusion Models with Transformers Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:04:05.810349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0c655f1-1a4a-41ea-be5f-fe1eb4976b81 · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c437b3ac-3c66-48fc-ba21-e2f2ffe49bd0 · inbound

Shap-E: Generating Conditional 3D Implicit Functions cites this paper.

Shap-E: Generating Conditional 3D Implicit Functions Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:32:06.692336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57b34476-e85b-4cee-91df-5e3fd4d70b43 · inbound

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models cites this paper.

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55ba762c-7bae-4b10-bcc2-99ac10481875 · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T20:06:44.602357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96a611e9-5731-4105-b9c7-142c9356f31a · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 172

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T02:15:18.629848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8853952-f1e1-4838-b391-1c392deb9ec6 · inbound

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation cites this paper.

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:40:44.160267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aacf55c7-ee86-4337-8e17-dfe53b47619e · inbound

Gemini: A Family of Highly Capable Multimodal Models cites this paper.

Gemini: A Family of Highly Capable Multimodal Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 127

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:03:55.541087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 817bb176-c1ba-4fce-9048-b41dca849e31 · inbound

VideoPoet: A Large Language Model for Zero-Shot Video Generation cites this paper.

VideoPoet: A Large Language Model for Zero-Shot Video Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T17:51:05.614606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8e9fb38-b93f-451d-9b04-9905280eb14c · inbound

World Model on Million-Length Video And Language With Blockwise RingAttention cites this paper.

World Model on Million-Length Video And Language With Blockwise RingAttention Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:36:57.239048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0aa3e213-fc17-46af-bd23-d94834f8e3e8 · inbound

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis cites this paper.

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 194

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T08:27:53.634088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baa85def-08ce-4b23-a374-c1247054efca · inbound

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment cites this paper.

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b402d7a-4e61-42f6-92bc-b7801c4c48ec · inbound

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70d2c301-4bec-4eac-b181-731fa5545c0e · inbound

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model cites this paper.

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:57:26.993448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c09ecad-160f-4d44-a2bc-0dbbd3b4c369 · inbound

Diffusion Models Are Real-Time Game Engines cites this paper.

Diffusion Models Are Real-Time Game Engines Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:04:44.225014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74c55ca5-f052-4dc5-a716-2cd715a152f6 · inbound

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

Emu3: Next-Token Prediction is All You Need Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d8816d3-7bb2-4e7a-9683-94a1d219df76 · inbound

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-23T08:02:43.331108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a131a26e-66f1-48e2-a545-bc3cf6dc6b16 · inbound

Autoregressive Video Generation without Vector Quantization cites this paper.

Autoregressive Video Generation without Vector Quantization Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:07:39.829441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06afcad5-ae64-4a94-af83-a593239ac90c · inbound

1.58-bit FLUX cites this paper.

1.58-bit FLUX Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T04:39:36.759706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada49843-71c3-412e-853f-228e19ea5ce6 · inbound

Is Your Text-to-Image Model Robust to Caption Noise? cites this paper.

Is Your Text-to-Image Model Robust to Caption Noise? Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T00:18:36.849864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b81c66ec-e33c-4b39-9591-18074c91767b · inbound

ReNeg: Learning Negative Embedding with Reward Guidance cites this paper.

ReNeg: Learning Negative Embedding with Reward Guidance Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T00:13:43.677898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5037f6f1-1b70-42ef-8380-5381a1c8bd05 · inbound

VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control cites this paper.

VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T23:14:40.708574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f838876-fc7a-4165-a8d3-daadcbbee38b · inbound

Text-to-Image GAN with Pretrained Representations cites this paper.

Text-to-Image GAN with Pretrained Representations Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T23:05:13.746565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e35fa3-3958-4a53-9135-94994b442840 · inbound

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model cites this paper.

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T22:44:30.541656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c4c712-4d37-4459-8c0e-81c7d8caeaeb · inbound

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset cites this paper.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:31.714764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5862f0-521a-48bb-9464-57df2ad73499 · inbound

INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models cites this paper.

INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:48:02.416943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3fefee-ef75-4a8a-aefa-a8f2b5e92e24 · inbound

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models cites this paper.

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:07.106704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231f247a-8df4-488a-a358-63b542d6eb62 · inbound

EditAR: Unified Conditional Generation with Autoregressive Models cites this paper.

EditAR: Unified Conditional Generation with Autoregressive Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:20.140153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1ca818-d779-4d23-80bd-47d78f7af62e · inbound

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models cites this paper.

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:24.330890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c78d1d8-d5ca-49c4-acda-5720336a061a · inbound

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation cites this paper.

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:04:57.554821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d406714-7fd8-407b-ba3f-d9a77ed1373d · inbound

RepVideo: Rethinking Cross-Layer Representation for Video Generation cites this paper.

RepVideo: Rethinking Cross-Layer Representation for Video Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:16:58.637567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6737044d-731d-4629-8795-d114f4c6a526 · inbound

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation cites this paper.

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:08.234771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7fd32d-d8a2-40a2-b46b-84d79d47ff3d · inbound

EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion cites this paper.

EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:00.043560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10880191-3d47-4747-ab61-163f8a62be6b · inbound

Diffusion Autoencoders are Scalable Image Tokenizers cites this paper.

Diffusion Autoencoders are Scalable Image Tokenizers Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:36.227366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37fbd40b-1879-4e8a-8833-4db61cd71d61 · inbound

Visual Autoregressive Modeling for Image Super-Resolution cites this paper.

Visual Autoregressive Modeling for Image Super-Resolution Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T21:47:59.592777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b410c8c-d285-4b2b-b65a-cc13d2ce4079 · inbound

CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models cites this paper.

CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T19:05:52.999296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433754fd-2c16-4c97-8c20-c822fb0e8dbc · inbound

HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment cites this paper.

HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T17:34:10.212570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58144a33-5b5d-476b-a589-da6a641d948e · inbound

Variational Control for Guidance in Diffusion Models cites this paper.

Variational Control for Guidance in Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:42.108293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93633c06-e13d-4cc0-b4a6-81db2175d86c · inbound

Decoder-Only LLMs are Better Controllers for Diffusion Models cites this paper.

Decoder-Only LLMs are Better Controllers for Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T23:56:18.756524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee958a3-ce80-4dc1-aa91-877675b86481 · inbound

UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths cites this paper.

UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T15:24:46.475345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a02b24a-7b41-4465-a473-9e6fcfb9b7c4 · inbound

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling cites this paper.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.978646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 841c55ce-4a5c-40b1-9b5e-61b6c7470d7b · inbound

Generating on Generated: An Approach Towards Self-Evolving Diffusion Models cites this paper.

Generating on Generated: An Approach Towards Self-Evolving Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T20:00:34.088913Z

Source-reported events for the cited work

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Observation 5edf496e-fb40-4a8e-91f7-514112de257b · inbound

RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control cites this paper.

RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 86

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Source-reported events for the cited work

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Observation 8420c32b-5fe0-4f3c-b92a-0c0b3959ff58 · inbound

Unified Reward Model for Multimodal Understanding and Generation cites this paper.

Unified Reward Model for Multimodal Understanding and Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 60

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Source-reported events for the cited work

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Observation 2c46995d-b210-4425-8d3d-3a86648220c0 · inbound

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model cites this paper.

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-17T08:27:36.364653Z

Source-reported events for the cited work

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Observation 9b6dde2a-03da-44fb-b40a-dcc78074431f · inbound

BalancedDPO: Adaptive Multi-Metric Alignment cites this paper.

BalancedDPO: Adaptive Multi-Metric Alignment Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-22T23:42:16.581410Z

Source-reported events for the cited work

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Observation cc27188b-03e6-4d7d-8ea5-b7d05dbd53ec · inbound

MSDformer: Multi-scale Discrete Transformer For Time Series Generation cites this paper.

MSDformer: Multi-scale Discrete Transformer For Time Series Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-22T13:44:52.871888Z

Source-reported events for the cited work

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Observation dd326d28-e7c6-48f9-b32f-770ebd37379c · inbound

An Exploratory Study on Multi-modal Generative AI in AR Storytelling cites this paper.

An Exploratory Study on Multi-modal Generative AI in AR Storytelling Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.518907Z

Source-reported events for the cited work

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Observation 78e39d37-354c-4b90-8b8a-310c159b4d0f · inbound

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? cites this paper.

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:31.570990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac01512f-127b-4625-9706-5d0f8abe1555 · inbound

Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation cites this paper.

Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:21.180996Z

Source-reported events for the cited work

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Observation a7d720ca-b63c-439a-8d53-88cc3e268380 · inbound

LlamaSeg: Image Segmentation via Autoregressive Mask Generation cites this paper.

LlamaSeg: Image Segmentation via Autoregressive Mask Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:55.721329Z

Source-reported events for the cited work

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Observation 81b0344d-10a9-4bc5-b6e1-085584823e6b · inbound

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models cites this paper.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:39.862109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6444d429-66b4-4131-8379-fd37e72ace47 · inbound

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences cites this paper.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:58.701288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa682b6b-9d61-4183-9d58-2f8001db09e3 · inbound

Native-Resolution Image Synthesis cites this paper.

Native-Resolution Image Synthesis Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:27.931555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe66dd3-b9f1-4061-9032-6aedf59e49c6 · inbound

How Far Are We from Generating Missing Modalities with Foundation Models? cites this paper.

How Far Are We from Generating Missing Modalities with Foundation Models? Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:15:33.614999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7f27687-3010-43f3-bdbe-4f0cc2ef0e23 · inbound

Images are Worth Variable Length of Representations cites this paper.

Images are Worth Variable Length of Representations Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:05:22.407403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a8ef6f-7c96-4537-acab-f6ba0e316079 · inbound

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation cites this paper.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:44.500274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems cites this paper.

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

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:16.277893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3980dc5b-eeb1-416d-93a5-624f7010b676 · inbound

SpectralAR: Spectral Autoregressive Visual Generation cites this paper.

SpectralAR: Spectral Autoregressive Visual Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:51.824999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2819f2-d93e-4d5c-be32-2e15503fb3be · inbound

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention cites this paper.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:35.831619Z

Source-reported events for the cited work

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Observation 49f672d8-3b0d-4384-9cab-82399c4fea80 · inbound

A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models cites this paper.

A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:17.476303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e979a7b2-90d9-4ec4-8946-4ae5a8d52129 · inbound

Disentangling 3D from Large Vision-Language Models for Controlled Portrait Generation cites this paper.

Disentangling 3D from Large Vision-Language Models for Controlled Portrait Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:08.113817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9d6904-a56d-425e-8ee8-95ff170090b6 · inbound

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

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:49:31.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78361dec-7c30-48e3-bd4c-a52ff3363c04 · inbound

ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation cites this paper.

ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:08.742835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc175dbd-a9e3-4cb2-b9fc-a48af257ccf8 · inbound

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing cites this paper.

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T07:42:09.177386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29cadb39-d80a-4d47-92ca-1aec93da7c87 · inbound

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation cites this paper.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:45.318496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2753b0f3-2511-4949-9bd2-e5eb3bcba558 · inbound

Transition Matching: Scalable and Flexible Generative Modeling cites this paper.

Transition Matching: Scalable and Flexible Generative Modeling Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:30.140725Z

Source-reported events for the cited work

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Observation b7568541-b979-4092-a208-5c609a598400 · inbound

SD-Acc: Accelerating Stable Diffusion through Phase-aware Sampling and Hardware Co-Optimizations cites this paper.

SD-Acc: Accelerating Stable Diffusion through Phase-aware Sampling and Hardware Co-Optimizations Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:32.534698Z

Source-reported events for the cited work

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Observation efce1fec-01bf-4eb8-b361-4439f5f9c537 · inbound

Hita: Holistic Tokenizer for Autoregressive Image Generation cites this paper.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.143921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a470f1-3ccf-455e-8aaa-69b0484e7651 · inbound

APT: Adaptive Personalized Training for Diffusion Models with Limited Data cites this paper.

APT: Adaptive Personalized Training for Diffusion Models with Limited Data Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:30:26.552436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39d586ed-687b-4e0b-aa4d-78c1e53c3648 · inbound

TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision cites this paper.

TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:18:49.550557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74bafdb0-3aeb-4e06-bed6-c32db1b6805f · inbound

Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models cites this paper.

Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 80

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba5b899-6ab5-4acc-996d-fa96cf81ad29 · inbound

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge cites this paper.

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:40.558141Z

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Unavailable: canonical work link unavailable.

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Hybrid Scandium Aluminum Nitride/Silicon Nitride Integrated Photonic Circuits cites this paper.

Hybrid Scandium Aluminum Nitride/Silicon Nitride Integrated Photonic Circuits Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T10:17:00.900106Z

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Steering Guidance for Personalized Text-to-Image Diffusion Models cites this paper.

Steering Guidance for Personalized Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T10:18:02.963300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation cites this paper.

ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T05:59:15.646747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c517ff5-5419-457a-a318-b2c96d8ae3b0 · inbound

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model cites this paper.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T00:04:32.821331Z

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Unavailable: canonical work link unavailable.

Observation 73bcffa3-7f25-404f-b2be-affd62948699 · inbound

SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction cites this paper.

SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-19T00:42:54.495610Z

Source-reported events for the cited work

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Observation 18cde8cf-8778-47db-b12c-1cf1955b78c1 · inbound

Per-Query Visual Concept Learning cites this paper.

Per-Query Visual Concept Learning Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T21:18:53.874431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd892bda-310d-41cd-bce9-12f7aee75dd0 · inbound

HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics cites this paper.

HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T20:49:53.234073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6acb6ac-e0eb-4ca5-9beb-5f7d217b9e78 · inbound

CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities cites this paper.

CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T18:40:37.210646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08260805-81a1-48e1-a37a-25de76424aa9 · inbound

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation cites this paper.

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:28.474779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e44fef-7cac-4680-9705-e9a6e449ee52 · inbound

Discovering Divergent Representations between Text-to-Image Models cites this paper.

Discovering Divergent Representations between Text-to-Image Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T19:59:32.102328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6030455-2072-4d5c-8360-fa3b2aee2280 · inbound

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark cites this paper.

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T18:48:03.872017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5a0829-9c42-4048-9b53-2d9376339568 · inbound

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration cites this paper.

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T17:40:28.525639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0875f4-5e9b-44e3-b2cb-6dfe9f159174 · inbound

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction cites this paper.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T11:08:01.939270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfcec9ce-0fc9-4f58-ad60-e2efb6c7d603 · inbound

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation cites this paper.

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T20:15:31.231928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbaf14d-58a5-4971-b0b9-a58207b66585 · inbound

GeoLoom: High-quality Geometric Diagram Generation from Textual Input cites this paper.

GeoLoom: High-quality Geometric Diagram Generation from Textual Input Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T17:49:11.421158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a373d2fd-0024-44e0-b6ff-7250cd6a1bdc · inbound

FasterVAR: Plug-and-Play Acceleration for Visual Autoregressive Models cites this paper.

FasterVAR: Plug-and-Play Acceleration for Visual Autoregressive Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T15:36:52.177245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.