Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:44:53.606732Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2507.15216.
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 2026-08-06T15:44:53.606732Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b6956d4b-4807-49b9-85bc-fe79770f7582 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Self-supervised learning from images with a joint-embedding predictive architecture, 2023
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Observation 2a19654d-33ef-4d92-b49e-b803d7715d69 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise A cookbook of self-supervised learning, 2023
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Improving Joint Embedding Predictive Architecture with Diffusion Noise All are Worth Words: A ViT Backbone for Diffusion Models
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Improving Joint Embedding Predictive Architecture with Diffusion Noise BEiT: BERT Pre-Training of Image Transformers
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Observation 28e63d23-40bb-4f14-afbb-9d82879502a3 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Stochastic positional embeddings improve masked image modeling, 2024
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Observation a37d9532-5aee-4739-8d1b-6ee235acd15d · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Emerging properties in self-supervised vision transformers
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Improving Joint Embedding Predictive Architecture with Diffusion Noise Big self- supervised models are strong semi-supervised learners
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Improving Joint Embedding Predictive Architecture with Diffusion Noise Improved baselines with momentum contrastive learning, 2020
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Observation 1810b710-c4cd-4d26-91c7-66cc08512054 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Context autoencoder for self-supervised representation learning, 2023
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Observation 93679f88-0a45-478f-bcc2-bd1f3f05dad9 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Deconstructing denoising diffusion models for self-supervised learning, 2024
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Observation 5455c5c5-137f-4fc6-be69-f8326d8cbcb2 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Observation eceaae9d-1dfa-483b-9484-4a91066d0269 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Hospedales
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Observation 8118ede1-3ad3-4be1-ad4b-92a3576403cc · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Rethinking Patch Dependence for Masked Autoencoders
Reference 14
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Observation c12c6ebb-442b-42a5-9324-23bc55832735 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
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Observation c6b3ff39-1f35-42a4-81ef-52b0ce2e2db7 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Learning and leveraging world models in visual representation learning, 2024
Reference 16
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Observation 09e64c1a-e0d7-4f39-b975-f0ce8616d6b4 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Bootstrap your own latent-a new approach to self-supervised learning
Reference 17
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Observation 883946a5-ae0e-4043-85c8-e5c45313aff4 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Momentum contrast for unsupervised visual representation learning, 2020
Reference 18
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Observation 59588847-1a01-4c36-9262-d40d5087756b · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Masked autoencoders are scalable vision learners
Reference 19
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Observation 4c0d0080-1906-429b-83a8-4bf76f7ec95c · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Denoising diffusion probabilistic models
Reference 20
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Observation 23f54528-d667-4372-894c-107529ea83ff · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise What to hide from your students: Attention-guided masked im- age modeling
Reference 21
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Observation e406fc27-d11d-4ae2-b61d-6859ee514153 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Elucidating the design space of diffusion-based generative models
Reference 22
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Observation dafdff17-7048-4f63-b79f-bf1c3f84af1d · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Reference 23
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Observation 068ce778-0ac5-47c8-bf37-64b67c83be81 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Exploring the role of mean teachers in self-supervised masked auto-encoders, 2022
Reference 24
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Observation a5a688fc-564c-4acc-9013-0c60c7563b76 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Dreamteacher: Pretraining image backbones with deep generative models
Reference 25
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Observation 1a57cef0-099a-4609-9d7b-93fc70bf5785 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Metaug: Contrastive learning via meta feature augmentation, 2023
Reference 26
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Observation 83a3fa88-d20d-4084-87ed-fc1e6b8fe79f · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Training stacked denoising autoencoders for representation learning, 2021
Reference 27
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Observation 006b1273-1dc6-4ac5-9418-c9efa5396dac · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Self-supervised learning: Generative or contrastive
Reference 28
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Observation 71998524-d7c0-4427-a345-1abf077ac815 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 29
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Observation 440d6e30-b9bc-4623-9c82-9c78f82f00af · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise On distillation of guided diffusion models
Reference 30
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Observation 6930c265-de32-4a71-b460-faf1d3409ce9 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise From points to functions: Infinite- dimensional representations in diffusion models, 2022
Reference 31
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Observation 6a5a2351-95e5-4fd3-90c8-6fcce70fe55b · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022
Reference 32
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Observation c57d12b5-78ec-4f57-8318-7a986ee173cb · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Improved denoising diffusion probabilistic models
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Observation 11fe9e0a-1c7d-4f2b-9fbe-71241504676b · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Scalable diffusion models with transformers
Reference 34
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Observation 1125a497-a9cd-4f94-b49a-5b0ccfd697df · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Hierarchical text-conditional image generation with clip latents, 2022
Reference 35
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Observation ccbed150-f687-4d3c-9dc6-cee00394dea6 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise High-resolution image synthesis with latent diffusion models, 2022
Reference 36
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Observation 79afeaa3-a1d0-4d11-856f-2d3b7788b9c9 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Numerical treatment of stochastic differential equations
Reference 37
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Observation a6d7aa16-8a7b-4040-9c47-ca102de1f375 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Progressive Distillation for Fast Sampling of Diffusion Models
Reference 38
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Observation 1e5f8d3a-e5ac-45ee-9da5-ca1e16fb6b75 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Denoising Diffusion Implicit Models
Reference 39
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Observation 1bb9afe6-5c1e-42f5-b8e3-07bdb7eab872 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Generative modeling by estimating gradients of the data distribution
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Observation 0f00526e-991e-4ac1-8eae-da557cfd8bb2 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Score-Based Generative Modeling through Stochastic Differential Equations
Reference 41
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Observation d814f043-4876-4ee9-96dd-af68c26c44e1 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Maximum likelihood training of score-based diffusion models
Reference 42
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Observation 09b48508-3084-45f8-8f50-3a78cba7df8f · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Siamese image modeling for self-supervised vision representation learning, 2022
Reference 43
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Observation c98f246d-5220-4edf-9944-e5992320225e · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Unresolved cited work
Reference 44
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Observation ec51dd81-a2ec-4fe0-81b3-a1a2b170c209 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Masked feature prediction for self-supervised visual pre-training
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Observation 4b75491b-f8b3-414f-beae-5033ddcd25c5 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Diffusion Models as Masked Autoencoders
Reference 46
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Observation 45e1f33d-49bf-4728-a426-2b16a07ea676 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Hallucination improves the performance of unsupervised visual representation learning, 2023
Reference 47
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Observation ffac9774-75e0-488d-a58e-320abd714ec4 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Denoising diffusion autoencoders are unified self-supervised learners, 2023
Reference 48
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Observation 29a05637-f6bd-42f1-8d5b-4b4725c6029e · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Simmim: A simple framework for masked image modeling
Reference 49
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Observation 51aaf2b8-c807-4cba-b657-6221beb3dfed · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Reference 50
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Observation 27eb47d6-c0c5-4c6a-9075-379b55a1b951 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Reference 51
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Observation 1261d8e6-cabb-4627-a43f-00f83fb3e609 · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise Fast Training of Diffusion Models with Masked Transformers
Reference 52
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Observation 1c410d63-ba17-413d-99ee-64c11bd99a5f · outbound
Improving Joint Embedding Predictive Architecture with Diffusion Noise iBOT: Image BERT Pre-Training with Online Tokenizer
Reference 53
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No inbound Pith citation observations are available.