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Paper Citation Record · LEDGER

Improving Joint Embedding Predictive Architecture with Diffusion Noise

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.

pith.paper-citation-record.v1
2507.15216 v1

Coverage vector

measured 53 of 53 reference resolution

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measured 53 of 53 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation b6956d4b-4807-49b9-85bc-fe79770f7582 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture, 2023.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Self-supervised learning from images with a joint-embedding predictive architecture, 2023

Reference 1

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Observation 2a19654d-33ef-4d92-b49e-b803d7715d69 · outbound

This paper cites A cookbook of self-supervised learning, 2023.

Improving Joint Embedding Predictive Architecture with Diffusion Noise A cookbook of self-supervised learning, 2023

Reference 2

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Observation 2064eb82-2671-4e20-8ed9-532491679207 · outbound

This paper cites All are Worth Words: A ViT Backbone for Diffusion Models.

Improving Joint Embedding Predictive Architecture with Diffusion Noise All are Worth Words: A ViT Backbone for Diffusion Models

Reference 3

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Observation f5998b31-bc20-4d43-9294-050980f571ae · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Improving Joint Embedding Predictive Architecture with Diffusion Noise BEiT: BERT Pre-Training of Image Transformers

Reference 4

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Observation 28e63d23-40bb-4f14-afbb-9d82879502a3 · outbound

This paper cites Stochastic positional embeddings improve masked image modeling, 2024.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Stochastic positional embeddings improve masked image modeling, 2024

Reference 5

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Observation 0009c23f-d6bb-4fce-832f-30bcda13e495 · outbound

This paper cites Unsuper- vised learning of visual features by contrasting cluster assignments, 2021.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Unsuper- vised learning of visual features by contrasting cluster assignments, 2021

Reference 6

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Observation a37d9532-5aee-4739-8d1b-6ee235acd15d · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Emerging properties in self-supervised vision transformers

Reference 7

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Observation 13a359ed-b458-475b-a8d0-18791237fb6b · outbound

This paper cites Big self- supervised models are strong semi-supervised learners.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Big self- supervised models are strong semi-supervised learners

Reference 8

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Observation 15e0a08a-40e9-404c-a99b-60d70c8d6f73 · outbound

This paper cites Improved baselines with momentum contrastive learning, 2020.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Improved baselines with momentum contrastive learning, 2020

Reference 9

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Observation 1810b710-c4cd-4d26-91c7-66cc08512054 · outbound

This paper cites Context autoencoder for self-supervised representation learning, 2023.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Context autoencoder for self-supervised representation learning, 2023

Reference 10

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Observation 93679f88-0a45-478f-bcc2-bd1f3f05dad9 · outbound

This paper cites Deconstructing denoising diffusion models for self-supervised learning, 2024.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Deconstructing denoising diffusion models for self-supervised learning, 2024

Reference 11

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Observation 5455c5c5-137f-4fc6-be69-f8326d8cbcb2 · outbound

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

Improving Joint Embedding Predictive Architecture with Diffusion Noise BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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Observation eceaae9d-1dfa-483b-9484-4a91066d0269 · outbound

This paper cites Hospedales.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Hospedales

Reference 13

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Observation 8118ede1-3ad3-4be1-ad4b-92a3576403cc · outbound

This paper cites Rethinking Patch Dependence for Masked Autoencoders.

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

This paper cites MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer.

Improving Joint Embedding Predictive Architecture with Diffusion Noise MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer

Reference 15

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Observation c6b3ff39-1f35-42a4-81ef-52b0ce2e2db7 · outbound

This paper cites Learning and leveraging world models in visual representation learning, 2024.

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

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

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

This paper cites Momentum contrast for unsupervised visual representation learning, 2020.

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

This paper cites Masked autoencoders are scalable vision learners.

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

This paper cites Denoising diffusion probabilistic models.

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

This paper cites What to hide from your students: Attention-guided masked im- age modeling.

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

This paper cites Elucidating the design space of diffusion-based generative models.

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

This paper cites Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.

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

This paper cites Exploring the role of mean teachers in self-supervised masked auto-encoders, 2022.

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

This paper cites Dreamteacher: Pretraining image backbones with deep generative models.

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

This paper cites Metaug: Contrastive learning via meta feature augmentation, 2023.

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

This paper cites Training stacked denoising autoencoders for representation learning, 2021.

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

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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

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

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

This paper cites On distillation of guided diffusion models.

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

This paper cites From points to functions: Infinite- dimensional representations in diffusion models, 2022.

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

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022.

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

This paper cites Improved denoising diffusion probabilistic models.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Improved denoising diffusion probabilistic models

Reference 33

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Observation 11fe9e0a-1c7d-4f2b-9fbe-71241504676b · outbound

This paper cites Scalable diffusion models with transformers.

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

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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

This paper cites High-resolution image synthesis with latent diffusion models, 2022.

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

This paper cites Numerical treatment of stochastic differential equations.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Numerical treatment of stochastic differential equations

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.787227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.570419Z digest=sha256:3beb97f69a08b0ce7f0c85b2b3e89511cf78ee99633c548d00ff797c21049191

Observation a6d7aa16-8a7b-4040-9c47-ca102de1f375 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Progressive Distillation for Fast Sampling of Diffusion Models

Reference 38

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no resolver link, observed 2026-08-06T15:44:53.572636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.572636Z digest=sha256:545a3b4e1b7548c6be7c09d482567dcc876f429ab2894ac6b8cc77fab1170c2e

Observation 1e5f8d3a-e5ac-45ee-9da5-ca1e16fb6b75 · outbound

This paper cites Denoising Diffusion Implicit Models.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Denoising Diffusion Implicit Models

Reference 39

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no resolver link, observed 2026-08-06T15:44:53.575274Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:44:53.575274Z digest=sha256:aa2af34fb421a8a8b9c5d140f8b13e2a697ecc6a75ceb44f15295986a985e6cf

Observation 1bb9afe6-5c1e-42f5-b8e3-07bdb7eab872 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Generative modeling by estimating gradients of the data distribution

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.780087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.577389Z digest=sha256:05589328bd893780e2893bbb76c7c1e103b56de9ba615deac29480c77c40bb3b

Observation 0f00526e-991e-4ac1-8eae-da557cfd8bb2 · outbound

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

Improving Joint Embedding Predictive Architecture with Diffusion Noise Score-Based Generative Modeling through Stochastic Differential Equations

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.579941Z digest=sha256:b25f267ffa78fd04a0b0db2c82937df0d298b6c9838d5ece876876c866cbe3ff

Observation d814f043-4876-4ee9-96dd-af68c26c44e1 · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Maximum likelihood training of score-based diffusion models

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.773141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.582427Z digest=sha256:9144a8a07b3efdd931b6d014bb7bfeb35bb528cbd014a44cc7c578c8725c4cc6

Observation 09b48508-3084-45f8-8f50-3a78cba7df8f · outbound

This paper cites Siamese image modeling for self-supervised vision representation learning, 2022.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Siamese image modeling for self-supervised vision representation learning, 2022

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.766259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.584399Z digest=sha256:eb558b076c61ad2b92cee039c549e1ed37c7340e1da6a8e1a21d404e7c8ddde8

Observation c98f246d-5220-4edf-9944-e5992320225e · outbound

This paper cites an unresolved cited work.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Unresolved cited work

Reference 44

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unresolved
raw_fallback, observed 2026-08-06T15:44:53.758664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.586378Z digest=sha256:926f9971385ec1a2dc37dedd83f7970788c949eff1a49ca7e5e4c9df068b524a

Observation ec51dd81-a2ec-4fe0-81b3-a1a2b170c209 · outbound

This paper cites Masked feature prediction for self-supervised visual pre-training.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Masked feature prediction for self-supervised visual pre-training

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.751999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.588752Z digest=sha256:5c8aeb262eafd9d132d7386362a6dd3b1ec9f64f331d16d2e21f020dd0727873

Observation 4b75491b-f8b3-414f-beae-5033ddcd25c5 · outbound

This paper cites Diffusion Models as Masked Autoencoders.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Diffusion Models as Masked Autoencoders

Reference 46

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verified exact
local_arxiv, observed 2026-08-06T15:44:53.666043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.590862Z digest=sha256:661e26748b20fbf3a00f438b0731118bc6698a07f0be94f767d22b6e11c4ba70

Observation 45e1f33d-49bf-4728-a426-2b16a07ea676 · outbound

This paper cites Hallucination improves the performance of unsupervised visual representation learning, 2023.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Hallucination improves the performance of unsupervised visual representation learning, 2023

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.745396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.593243Z digest=sha256:2c68ee476b52636adf3a037f81e1b7021583a673e3831cb3062a1f90f0b03f2b

Observation ffac9774-75e0-488d-a58e-320abd714ec4 · outbound

This paper cites Denoising diffusion autoencoders are unified self-supervised learners, 2023.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Denoising diffusion autoencoders are unified self-supervised learners, 2023

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.738576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.595439Z digest=sha256:7931049ec4d0c7947707cfd3ae6038c6e41fafde8925704a486aa4d7cce2483a

Observation 29a05637-f6bd-42f1-8d5b-4b4725c6029e · outbound

This paper cites Simmim: A simple framework for masked image modeling.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Simmim: A simple framework for masked image modeling

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:44:53.731992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:44:53.597698Z digest=sha256:7ffdaa2d5a27d788e77575aa0aab990847ca2beed22e6f228ab125ab8ed30f09

Observation 51aaf2b8-c807-4cba-b657-6221beb3dfed · outbound

This paper cites Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 50

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unresolved
no resolver link, observed 2026-08-06T15:44:53.599644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.599644Z digest=sha256:951fe1f41636b92ff5325affd50a7e86c89cba73ca8a2a8ced6ba8df7ce7511a

Observation 27eb47d6-c0c5-4c6a-9075-379b55a1b951 · outbound

This paper cites MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices.

Improving Joint Embedding Predictive Architecture with Diffusion Noise MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices

Reference 51

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unresolved
no resolver link, observed 2026-08-06T15:44:53.602283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.602283Z digest=sha256:8a4c7a8e01f730c37cf46b727256e822a714ddc804edb7e2b19817ef324bc37d

Observation 1261d8e6-cabb-4627-a43f-00f83fb3e609 · outbound

This paper cites Fast Training of Diffusion Models with Masked Transformers.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Fast Training of Diffusion Models with Masked Transformers

Reference 52

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no resolver link, observed 2026-08-06T15:44:53.604445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.604445Z digest=sha256:40a86a13a8f3d2c0b386cf236ca925754aea240cef65395a88ed3066a504f51e

Observation 1c410d63-ba17-413d-99ee-64c11bd99a5f · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

Improving Joint Embedding Predictive Architecture with Diffusion Noise iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.606732Z digest=sha256:2e2a14a0341421d2a04383df9e44db3a3caf6fcf81d773c826ae7c37db6996d3

Pith citing papers

No inbound Pith citation observations are available.