Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers | Paper Citation Record

Observation b3f1285a-a8d2-4f8f-a4b9-b9dcc1c0ed75 · outbound

This paper cites Gqa: Training generalizedmulti-querytransformermodelsfrommulti-headcheckpoints.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Gqa: Training generalizedmulti-querytransformermodelsfrommulti-headcheckpoints

Reference 1

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Observation 96695258-4f06-4a0b-a373-f9ea6da9bf1f · outbound

This paper cites Physics of language models: Part 4.1, architecture design and the magic of canon layers.Advances in Neural Information Processing Systems, 38:42349–42369, 2026.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Physics of language models: Part 4.1, architecture design and the magic of canon layers.Advances in Neural Information Processing Systems, 38:42349–42369, 2026

Reference 2

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This paper cites Round and Round We Go! What makes Rotary Positional Encodings useful?.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Round and Round We Go! What makes Rotary Positional Encodings useful?

Reference 3

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Observation a737b48e-98d1-426c-8c17-1cd3eae2f01d · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025

Reference 4

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Observation 68d82e32-8e07-4210-894f-267e0498a709 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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Observation 29be113c-67ae-43d7-911f-a3b992baf929 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Align your latents: High-resolution video synthesis with latent diffusion models

Reference 6

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Observation 6d331e3b-93dd-4ff1-86b7-504d7c3dd1c5 · outbound

This paper cites Video generation models as world simulators, 2024.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Video generation models as world simulators, 2024

Reference 7

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Observation 30e953e9-3eaf-4b06-8b0d-d25ac09c1202 · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 8

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Observation ef575262-d288-4069-b27f-0b5ed773a300 · outbound

This paper cites The Effect of Mini-Batch Noise on the Implicit Bias of Adam.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers The Effect of Mini-Batch Noise on the Implicit Bias of Adam

Reference 9

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Observation fab3edf1-56a2-4e90-9f61-a2f66ca0cb59 · outbound

This paper cites Aligning visual foundation encoders to tokenizers for diffusion models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Aligning visual foundation encoders to tokenizers for diffusion models

Reference 10

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Observation 36fa5535-064a-4f56-bae4-85e122f790c2 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125, 2024.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125, 2024

Reference 11

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Observation c3940baf-8bf9-44d4-a4d8-f8dc42210c58 · outbound

This paper cites Pixart-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Pixart-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis

Reference 12

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Observation 23fc2699-5ddc-4f6c-8ed8-89242d511d5b · outbound

This paper cites Sana-video: Efficient video generation with block linear diffusion transformer.arXiv preprint arXiv:2509.24695, 2025.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Sana-video: Efficient video generation with block linear diffusion transformer.arXiv preprint arXiv:2509.24695, 2025

Reference 13

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Observation 953987e6-b508-4a14-8bd5-ddcd18846e6f · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Generating Long Sequences with Sparse Transformers

Reference 14

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Observation efe1d071-f925-4e60-ae13-7cf14f5bb61f · outbound

This paper cites Conditional positional encodings for vision transformers.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Conditional positional encodings for vision transformers

Reference 15

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Observation 8674616c-2509-4dbd-903f-49993d1da42a · outbound

This paper cites UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining

Reference 16

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Observation edcd3dbe-525e-4544-9742-04d20e705ff7 · outbound

This paper cites Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models

Reference 17

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Observation f9116ccc-38c1-471e-9fd3-d8c5c2c9643f · outbound

This paper cites Don’t be lazy: Completep enables compute-efficient deep transformers.Advances in Neural Information Processing Systems, 38:137707–137739, 2026.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Don’t be lazy: Completep enables compute-efficient deep transformers.Advances in Neural Information Processing Systems, 38:137707–137739, 2026

Reference 18

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Observation ac60a4be-a081-44c8-b2a8-03848e0a3802 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 19

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Observation 99b7920e-3e6b-4a0c-93f4-60cd195bd1c6 · outbound

This paper cites Diffusion is spectral autoregression.https://sander.ai/2024/09/02/spectral-autoregression.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Diffusion is spectral autoregression.https://sander.ai/2024/09/02/spectral-autoregression

Reference 20

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Observation 2ed05fa7-6588-4b8f-a38b-f139a7e59178 · outbound

This paper cites Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 21

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Observation 28838b84-62cb-4cdc-8185-7ac6cda2c1b3 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Cogview: Mastering text-to-image generation via transformers

Reference 22

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Observation ff79909b-1e87-4091-a68a-c00474cf92a1 · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread, 1(1):12, 2021.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers A mathematical framework for transformer circuits.Transformer Circuits Thread, 1(1):12, 2021

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Observation 671d716e-8ae5-4088-a419-c54af8afa06b · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scaling rectified flow transformers for high-resolution image synthesis

Reference 24

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Observation b81ca4ad-de40-42c4-b0ed-2f7a2faeed45 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022

Reference 25

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Observation f0ee9087-c842-4324-ba7c-9f8d3087430b · outbound

This paper cites Scaling diffusion transformers to 16 billion parameters, 2024.URL https://arxiv.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scaling diffusion transformers to 16 billion parameters, 2024.URL https://arxiv

Reference 26

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Observation 446d8ba5-35f7-4ccb-9656-986942f894cd · outbound

This paper cites Why Adam Works Better with $\beta_1 = \beta_2$: The Missing Gradient Scale Invariance Principle.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Why Adam Works Better with $\beta_1 = \beta_2$: The Missing Gradient Scale Invariance Principle

Reference 27

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Observation 0ce817d8-e67d-46df-9eb4-370966ed2a94 · outbound

This paper cites Geneval: Anobject-focusedframeworkforevaluatingtext-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Geneval: Anobject-focusedframeworkforevaluatingtext-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023

Reference 28

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Observation 671749fa-901a-4d51-ae7b-6987ce5f36a0 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 29

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Observation 1b633e07-6b12-4c58-ac5e-566d2fb7de99 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scaling Laws for Autoregressive Generative Modeling

Reference 30

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Observation 6986aedf-9bec-42d7-ad5b-7ffa62020ef6 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Deep Learning Scaling is Predictable, Empirically

Reference 31

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Observation d7e826fe-f2ee-40ab-a17b-119ab4738c20 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Classifier-Free Diffusion Guidance

Reference 32

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This paper cites Denoising diffusion probabilistic models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Denoising diffusion probabilistic models

Reference 33

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Observation 58a6f19e-8edf-4053-9290-88b2b7f56191 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Imagen Video: High Definition Video Generation with Diffusion Models

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Observation 5ed24407-67a4-49d0-aaed-2698296a6679 · outbound

This paper cites Videodiffusionmodels.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Videodiffusionmodels

Reference 35

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Observation 9f224e44-c918-49f2-8d50-51c96bbc222f · outbound

This paper cites Training Compute-Optimal Large Language Models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Training Compute-Optimal Large Language Models

Reference 36

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Observation de8a3529-9465-4022-873d-0a7b8af82577 · outbound

This paper cites Pushing the Boundaries of State Space Models for Image and Video Generation.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Pushing the Boundaries of State Space Models for Image and Video Generation

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Observation 907bfc44-2e6c-438d-b7cf-8da6a3be8b97 · outbound

This paper cites Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040, 2025.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040, 2025

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This paper cites Zigma: A dit-style zigzag mamba diffusion model.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Zigma: A dit-style zigzag mamba diffusion model

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Observation 347a662c-4aac-44ba-9bb8-68c2c9a11862 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

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Observation d0b02c73-1eb9-4353-861d-530ca9f69023 · outbound

This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.Advances in Neural Information Processing Systems, 38:167283–167308, 2026.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Self forcing: Bridging the train-test gap in autoregressive video diffusion.Advances in Neural Information Processing Systems, 38:167283–167308, 2026

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Observation afbafc47-653c-4a81-99c9-8a190606c0a9 · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.URL https://kellerjordan.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Muon: An optimizer for hidden layers in neural networks, 2024.URL https://kellerjordan

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Observation 1a9554c0-a78e-4a22-ac5f-0dab9b9d65ca · outbound

This paper cites EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning

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Observation 43f4c58a-6810-4bfe-adda-4ece00621794 · outbound

This paper cites Scaling Laws for Neural Language Models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scaling Laws for Neural Language Models

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Observation a8164523-4a2b-4b2f-b976-2d7b763f56dc · outbound

This paper cites Transformers are RNNs: Fast autoregressive transformers with linear attention.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Transformers are RNNs: Fast autoregressive transformers with linear attention

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Observation 59fdf7c9-40b3-47c4-8afd-de47f0065aa7 · outbound

This paper cites Theimpactofpositional encoding on length generalization in transformers.Advances in Neural Information Processing Systems, 36:24892–24928, 2023.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Theimpactofpositional encoding on length generalization in transformers.Advances in Neural Information Processing Systems, 36:24892–24928, 2023

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Observation 687323ae-9ce3-4040-b70f-896365421064 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

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Observation 9cff701e-1901-46ce-971c-f471979af551 · outbound

This paper cites Back to basics: Let denoising generative models denoise.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Back to basics: Let denoising generative models denoise

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This paper cites Scalinglawsfordiffusiontransformers.arXivpreprintarXiv:2410.08184, 2024.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scalinglawsfordiffusiontransformers.arXivpreprintarXiv:2410.08184, 2024

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Observation 1fe38c64-c4d4-47a9-92b6-d6260e640913 · outbound

This paper cites Flow Matching for Generative Modeling.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Flow Matching for Generative Modeling

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Observation 4c800bfc-44b0-41b5-ad7e-75edf89c5063 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

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Observation ab65fb43-f2e6-4737-b465-bf4a20dafbb7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers DeepSeek-V3 Technical Report

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Observation 4d9fb7bd-8261-4275-adfe-c6333a4ba733 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

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Observation 92036d02-b64c-4ea5-a004-471275f9a9ca · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

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Observation 4bae04a0-1abc-43d3-8ca3-84f29ebf7d69 · outbound

This paper cites Vmamba: Visual state space model.Advances in neural information processing systems, 37:103031–103063, 2024.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Vmamba: Visual state space model.Advances in neural information processing systems, 37:103031–103063, 2024

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.134615Z

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Observation 12de7f78-7b2e-4d10-a181-28fc38675a27 · outbound

This paper cites Olmo Hybrid: From Theory to Practice and Back.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Olmo Hybrid: From Theory to Practice and Back

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.137640Z

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Observation 0b914026-664f-43da-91dc-1397d6ac4913 · outbound

This paper cites Completed hyperparameter transfer across modules, width, depth, batch and duration.arXiv preprint arXiv:2512.22382, 2025.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Completed hyperparameter transfer across modules, width, depth, batch and duration.arXiv preprint arXiv:2512.22382, 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.140944Z

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Observation 212799eb-a387-45c3-a07e-2dd1616da5c8 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.143885Z

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Observation 0d656b73-33cd-494f-88f9-5966961b6d29 · outbound

This paper cites Improveddenoisingdiffusionprobabilisticmodels.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Improveddenoisingdiffusionprobabilisticmodels

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.147126Z

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Observation 8151033e-a9de-42d0-b2bd-8c0c052c7735 · outbound

This paper cites In-context Learning and Induction Heads.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers In-context Learning and Induction Heads

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.149754Z

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Observation 8a8e47bb-4377-48bb-9e15-e984c14596f8 · outbound

This paper cites In search of adam’s secret sauce.Advances in Neural Information Processing Systems, 38: 63404–63442, 2026.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers In search of adam’s secret sauce.Advances in Neural Information Processing Systems, 38: 63404–63442, 2026

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.152730Z

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Observation 7c7a5ff3-66bd-4dc0-a055-d7724dd27987 · outbound

This paper cites Scalable diffusion models with transformers.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scalable diffusion models with transformers

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.155647Z

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Observation 42be2ed3-3502-4058-a0a4-6253d0ad9e89 · outbound

This paper cites Smith, and Mike Lewis.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Smith, and Mike Lewis

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.158345Z

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Observation efdae082-a1d8-4568-982f-8cfc99517b03 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21 (140):1–67, 2020.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21 (140):1–67, 2020

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.161196Z

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Observation f165b87e-08ef-49b9-aa6f-2f217c342229 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.163727Z

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Observation 8cd5d4c0-51d7-434e-8f5f-2b421631129c · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.166787Z

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Observation acc1cb7e-8e03-4849-8d53-eeb3e2d3cca8 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.169494Z

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Observation 0493f57c-70eb-42ea-96f8-66c62baa9b60 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Fast Transformer Decoding: One Write-Head is All You Need

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.172183Z

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Observation f4c7ed8b-d3a9-4ee9-989f-d43470775374 · outbound

This paper cites GLU Variants Improve Transformer.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers GLU Variants Improve Transformer

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.175141Z

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Observation 9ca1d191-b33b-4f77-b079-4ad0d40e6e08 · outbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.178098Z

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Observation 89d519d2-650e-482b-86ac-a7cfc9d78284 · outbound

This paper cites History-Guided Video Diffusion.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers History-Guided Video Diffusion

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.181000Z

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Observation 448d3f28-3376-4196-bdc9-3f608c766d96 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Score-Based Generative Modeling through Stochastic Differential Equations

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.183994Z

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Observation 94342501-a152-46bb-90b4-b7f4cc4a6ec6 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.187004Z

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Observation 0ee61b72-b472-43af-b6ea-35b1efb7a054 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Retentive Network: A Successor to Transformer for Large Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.189565Z

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Observation e51f221d-5cc8-46df-9a7a-a6308546798d · outbound

This paper cites Dsv: Exploiting dynamic sparsity to accelerate large-scale video dit training.arXiv preprint arXiv:2502.07590, 2025.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Dsv: Exploiting dynamic sparsity to accelerate large-scale video dit training.arXiv preprint arXiv:2502.07590, 2025

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.192329Z

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Observation db331e8e-1600-4fca-90d1-71d58df648a2 · outbound

This paper cites Kimi k3: Open frontier intelligence, 2026.https://arxiv.org/abs/2607.24653.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Kimi k3: Open frontier intelligence, 2026.https://arxiv.org/abs/2607.24653

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.198077Z

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Observation cee43a81-79fd-4491-bbc7-17946f0ff2af · outbound

This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Kimi Linear: An Expressive, Efficient Attention Architecture

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.200768Z

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Observation 69380636-d526-4efb-baa6-b7f03c974c2a · outbound

This paper cites Qwen3.5-Omni Technical Report.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Qwen3.5-Omni Technical Report

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.203599Z

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Observation f7183d94-e7ab-4d8d-bdba-4e77f9bd0d92 · outbound

This paper cites Hunyuanvideo 1.5 technical report, 2025.https://arxiv.org/abs/2511.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Hunyuanvideo 1.5 technical report, 2025.https://arxiv.org/abs/2511

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.213747Z

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Observation 18c04200-4605-452c-ba69-7a8fc7bf8e82 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.217148Z

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Observation 94a2fd28-715b-4fce-a1cb-909bf7fdcc05 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Wan: Open and Advanced Large-Scale Video Generative Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.219923Z

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Observation 5c8f58a3-e9c7-45a3-bd6f-16f0cc273bbd · outbound

This paper cites Lingen: Towards high-resolution minute-length text-to-video generation with linear computational complexity.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Lingen: Towards high-resolution minute-length text-to-video generation with linear computational complexity

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.223627Z

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Observation b71a8927-3d4a-4512-9cbf-46e288aecc79 · outbound

This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.227426Z

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Observation 945ca130-8d03-433a-b5ba-12e39e89a6d8 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.230561Z

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Observation 5afe614a-3d6a-4bdf-8a7a-c838d0837cf8 · outbound

This paper cites Scaling laws, carefully.lilianweng.github.io, June 2026.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Scaling laws, carefully.lilianweng.github.io, June 2026

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.233526Z

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Observation 18181547-990b-45f6-9678-de8b78d31882 · outbound

This paper cites Qwen-Image Technical Report.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Qwen-Image Technical Report

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.236568Z

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Observation 7f634608-880a-4d02-b295-6ed5f131e32f · outbound

This paper cites VMoBA: Mixture-of-Block Attention for Video Diffusion Models.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.239355Z

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Observation 9f33261d-732d-49fe-878b-39018db1bfa9 · outbound

This paper cites Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.242540Z

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Observation 6d45c22b-788f-44f7-9d0b-50113234b865 · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers mHC: Manifold-Constrained Hyper-Connections

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.245486Z

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Observation 63a96bc9-3167-463c-91a2-d6803eb34016 · outbound

This paper cites Qwen3 Technical Report.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Qwen3 Technical Report

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.248478Z

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Observation 87e6a1ac-b78f-4ea7-964a-0246e98ecbed · outbound

This paper cites Tuning large neural networks via zero-shot hyperparameter transfer.Advances in Neural Information Processing Systems, 34:17084–17097, 2021.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Tuning large neural networks via zero-shot hyperparameter transfer.Advances in Neural Information Processing Systems, 34:17084–17097, 2021

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.251304Z

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Observation f9cc9133-94d9-4698-a52f-d1cec4bca3cb · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.253839Z

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Observation 6e73d0fd-b071-4be4-b8bc-1c395b8298f9 · outbound

This paper cites Parallelizing linear transformers with the delta rule over sequence length.Advances in neural information processing systems, 37:115491–115522, 2024.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Parallelizing linear transformers with the delta rule over sequence length.Advances in neural information processing systems, 37:115491–115522, 2024

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Observation 9828ea82-a305-4572-b5ab-f0574a808a06 · outbound

This paper cites Cogvideox: Text-to-videodiffusionmodelswithanexperttransformer.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Cogvideox: Text-to-videodiffusionmodelswithanexperttransformer

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.259508Z

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Observation 2002f6bb-7974-458f-918f-692d43cc7710 · outbound

This paper cites Pixeldit: Pixel diffusion transformers for image generation.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Pixeldit: Pixel diffusion transformers for image generation

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.262096Z

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Observation 55100718-4c93-403c-94ee-f06d3b4153f6 · outbound

This paper cites Native sparse attention: Hardware-aligned and natively trainable sparse attention.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Native sparse attention: Hardware-aligned and natively trainable sparse attention

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.265084Z

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Observation d12d853a-dc80-4086-a18f-c623c53a8907 · outbound

This paper cites Bidirectional sparse attention for faster video diffusion training.arXiv preprint arXiv:2509.01085, 2025.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Bidirectional sparse attention for faster video diffusion training.arXiv preprint arXiv:2509.01085, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.267705Z

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Observation fc1da28f-177a-49d9-83a5-abc89bf29834 · outbound

This paper cites KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.270116Z

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Observation a50d4019-bb90-4f5f-a6af-cf9dcc048071 · outbound

This paper cites Faster video diffusion with trainable sparse attention.Advances in Neural Information Processing Systems, 38:152509–152534, 2026.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Faster video diffusion with trainable sparse attention.Advances in Neural Information Processing Systems, 38:152509–152534, 2026

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.272881Z

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Observation c1480be5-84c7-4953-8ea8-a5de0a860c4a · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

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Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.275374Z

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