Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T20:38:52.749119Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 100 of 154 outbound references and 100 inbound Pith citation observations for arXiv:2310.00426.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T20:38:52.749119Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:52.383239Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
100 of 154 outbound references displayed
External citation measurements
8
pith, observed 2026-08-05T02:28:24.338817Z
Observation 4482aebb-d86c-4bb0-8e4b-544135b1f8f6 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Reference 2
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Observation 07e6c455-efc7-447b-bc09-e7ecc57cc433 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis All are worth words: A vit backbone for diffusion models
Reference 3
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Observation 72ba8db4-e012-4ac4-8646-c9ed3d4574f1 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis A study on the evaluation of generative models
Reference 4
Source-reported events for the cited work
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Observation 0e9b78ed-cac5-4576-99a7-cc2ea0308fe2 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis End-to-end object detection with transformers
Reference 5
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Observation f7125189-6ef5-47c0-87b2-574e4eac2527 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Deepfloyd
Reference 6
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Imagenet: A large-scale hierarchical image database
Reference 7
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Observation daf0b63f-9036-404c-b0f7-a31be108750d · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Diffusion models beat gans on image synthesis
Reference 8
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Observation f08578eb-e7c0-4da1-a4a4-4cd1d152499c · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis An image is worth 16x16 words: Transformers for image recognition at scale
Reference 9
Source-reported events for the cited work
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Observation 8c52de0b-0bf9-4dc7-9337-3f11a9453637 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis An image is worth 16x16 words: Transformers for image recognition at scale
Reference 10
Source-reported events for the cited work
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Observation 8f70611c-a185-44c2-a850-7e85769b5132 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Ernie-vilg 2.0: Improving text-to-image diffusion model with knowledge-enhanced mixture-of-denoising-experts
Reference 11
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Metabev: Solving sensor failures for 3d detection and map segmentation
Reference 12
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Imagebind: One embedding space to bind them all
Reference 13
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Observation 84e726dc-a8d9-4725-9f84-c0e94ab19eae · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Generative adversarial nets
Reference 14
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Observation c61d18ed-8c00-4fab-8bf9-18bc092f343a · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Transformer in transformer
Reference 15
Source-reported events for the cited work
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Observation d3c71219-b468-43dc-9563-faa55ed28747 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Masked autoencoders are scalable vision learners
Reference 16
Source-reported events for the cited work
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Observation e42e348e-535e-4b5d-9121-8a77efe74791 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 17
Source-reported events for the cited work
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Observation c757223d-4b5f-4d9f-a791-e1c4c06d90be · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Denoising diffusion probabilistic models
Reference 19
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Observation 6b7894cd-4b83-4e9b-9a3d-b5b0889f06a7 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Lora: Low-rank adaptation of large language models
Reference 20
Source-reported events for the cited work
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Reference 21
Source-reported events for the cited work
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Observation 6aad4289-557d-43cc-8958-67b56f6d3209 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Scaling up gans for text-to-image synthesis
Reference 22
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Observation 0ca0a31e-0605-4076-8e33-97a3e1208c3d · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Diffusionclip: Text-guided diffusion models for robust image manipulation
Reference 23
Source-reported events for the cited work
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Observation e83d0710-6b37-4206-911a-fae33c8a4e31 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Auto-encoding variational bayes
Reference 24
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Observation aa4db450-8ecc-4bf8-993d-db58e1428121 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Segment anything
Reference 25
Source-reported events for the cited work
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Observation fe6e2d44-9dc9-4c00-ba9b-8bb9f01e2ed3 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Pick-a-pic: An open dataset of user preferences for text-to-image generation
Reference 26
Source-reported events for the cited work
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Observation 1395e1f1-b6c9-4383-ab29-e1904f2e20b2 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Reference 27
Source-reported events for the cited work
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Observation 23f2a5d4-630c-4837-ab58-e2fa37df4fdd · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Panoptic segformer: Delving deeper into panoptic segmentation with transformers
Reference 28
Source-reported events for the cited work
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Observation 47fafbe0-bf00-40bf-ba73-a5de9b72a04b · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Microsoft coco: Common objects in context
Reference 29
Source-reported events for the cited work
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Observation dcc93902-ca5f-4f5b-8725-69b0fd9f3a03 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Visual instruction tuning
Reference 30
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Observation ced374d7-6a40-462c-9d71-b21d2496a7a7 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Swin transformer: Hierarchical vision transformer using shifted windows
Reference 31
Source-reported events for the cited work
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Observation 168a6be1-09d7-46be-b52d-3723f6f9fb63 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Video swin transformer
Reference 32
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Observation a1b03bae-4b29-495e-ae99-e97e9ff7de8d · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Decoupled weight decay regularization
Reference 33
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Observation 18412270-43ca-44cf-998e-1792bd7c4a3f · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Reference 34
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Observation c8b0e488-58c5-45a7-a7e3-c7454b75aea7 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Gpu selling
Reference 35
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Observation 3266293a-d254-41b8-a8fd-027c91872e98 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Midjourney
Reference 36
Source-reported events for the cited work
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 37
Source-reported events for the cited work
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Improved denoising diffusion probabilistic models
Reference 38
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Observation d96f5ca4-be4c-4eab-9a05-50fab3602596 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Nltk
Reference 39
Source-reported events for the cited work
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Observation cfbcef77-4c09-438a-bfd2-2d8331807651 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Getting immediate speedups with a100 and tf32
Reference 40
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Observation 12a3bcfb-0315-43de-aee9-f7395a58f11a · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Dalle-2
Reference 41
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Journeydb: A benchmark for generative image understanding
Reference 42
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Observation 42a727b1-1930-47f2-9e01-35a7d32c3b17 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Scalable diffusion models with transformers
Reference 43
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Film: Visual reasoning with a general conditioning layer
Reference 44
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Sdxl: Improving latent diffusion models for high-resolution image synthesis
Reference 45
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Barron, and Ben Mildenhall
Reference 46
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Improving language understanding by generative pre-training
Reference 47
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Observation 243f02cd-a62f-47c2-83fe-aa1e7f5d7c91 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Language models are unsupervised multitask learners
Reference 48
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Variational inference with normalizing flows
Reference 49
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis High-resolution image synthesis with latent diffusion models
Reference 50
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis U-net: Convolutional networks for biomedical image segmentation
Reference 51
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 52
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Photorealistic text-to-image diffusion models with deep language understanding
Reference 53
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Reference 54
Source-reported events for the cited work
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Deep unsupervised learning using nonequilibrium thermodynamics
Reference 55
Source-reported events for the cited work
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Observation 609a33b5-8ab3-4123-b998-d99c6e998713 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Generative modeling by estimating gradients of the data distribution
Reference 56
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Observation 6eb177e2-1eb0-4e16-8ef7-6a104684a874 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Score-based generative modeling through stochastic differential equations
Reference 57
Source-reported events for the cited work
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Segmenter: Transformer for semantic segmentation
Reference 58
Source-reported events for the cited work
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Transtrack: Multiple object tracking with transformer
Reference 59
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Training data-efficient image transformers & distillation through attention
Reference 60
Source-reported events for the cited work
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Observation c3ead0d1-71f1-4339-b3a2-3cdc8d6b3ecc · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Attention is all you need
Reference 61
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Observation aa5e9118-a95b-4469-a20c-b83af9bec80a · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
Reference 62
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Observation dde8b18e-693e-40cc-98e4-61a47f7e9e7a · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Pvt v2: Improved baselines with pyramid vision transformer
Reference 63
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Observation 0bb0ed68-6d5c-4b00-a194-c92cbfbee9e3 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Segformer: Simple and efficient design for semantic segmentation with transformers
Reference 65
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Difffit: Unlocking transferability of large diffusion models via simple parameter-efficient fine-tuning
Reference 66
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Holistically-nested edge detection
Reference 67
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Observation fe50890b-0808-487b-87dc-f098c9e2a822 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Raphael: Text-to-image generation via large mixture of diffusion paths
Reference 69
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Observation 55b9cb73-5551-4cbf-a060-5388b0c7b6b9 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Tokens-to-token vit: Training vision transformers from scratch on imagenet
Reference 70
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Observation a8fb24cd-5476-4256-9593-f2c316a25903 · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Adding conditional control to text-to-image diffusion models
Reference 71
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Observation b833bcf7-b666-4986-b095-0c58d979284c · outbound
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Point transformer
Reference 72
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Reference 30
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Reference 14
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Reference 1
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Reference 14
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