Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:47:13.856071Z
Paper Citation Record · LEDGER
GViT: Representing Images as Gaussians for Visual Recognition
As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.23532.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
Reference resolution
54 of 54 outbound references displayed
- verified exact3
- verified fuzzy28
- unresolved23
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9945d05e-7020-4d1e-9ab0-bd728522523a · outbound
This paper cites Slic superpixels compared to state-of-the-art superpixel methods.
GViT: Representing Images as Gaussians for Visual Recognition Slic superpixels compared to state-of-the-art superpixel methods
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:18.892758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c890d52-e762-428e-9657-dad3cf888b27 · outbound
This paper cites BEiT: BERT Pre-Training of Image Transformers.
GViT: Representing Images as Gaussians for Visual Recognition BEiT: BERT Pre-Training of Image Transformers
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0092c7e7-3d0d-4b55-b20f-f251c06928f2 · outbound
This paper cites an unresolved cited work.
GViT: Representing Images as Gaussians for Visual Recognition Unresolved cited work
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5910e295-c639-4bc8-80ed-03a55f33dc01 · outbound
This paper cites Class-Discriminative Attention Maps for Vision Transformers.
GViT: Representing Images as Gaussians for Visual Recognition Class-Discriminative Attention Maps for Vision Transformers
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd5ef612-735c-428c-a5a7-dfeddb721ae2 · outbound
This paper cites Generative pretraining from pixels.
GViT: Representing Images as Gaussians for Visual Recognition Generative pretraining from pixels
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 936e8e54-4ae0-45ba-b2b1-bb233b9fc377 · outbound
This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.
GViT: Representing Images as Gaussians for Visual Recognition ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:11.283757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4c5c823-5540-4b5a-b51a-db3931724776 · outbound
This paper cites Vision transformers need registers.
GViT: Representing Images as Gaussians for Visual Recognition Vision transformers need registers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:18.656085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37e73944-bae5-47a0-860c-c20c99361830 · outbound
This paper cites Scaling vision transformers to 22 billion parameters.
GViT: Representing Images as Gaussians for Visual Recognition Scaling vision transformers to 22 billion parameters
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdd7961f-9de7-4c5f-be6a-aead69cc1528 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
GViT: Representing Images as Gaussians for Visual Recognition An image is worth 16x16 words: Transformers for image recognition at scale
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c3db3c5-a6d1-4b5d-ba0d-e706919159f9 · outbound
This paper cites Adaptive slot attention: Object discovery with dynamic slot number.
GViT: Representing Images as Gaussians for Visual Recognition Adaptive slot attention: Object discovery with dynamic slot number
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:18.466824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f66e188e-2881-48ee-bffe-e431d0f62f50 · outbound
This paper cites 3d gaussian splatting as new era: A survey.
GViT: Representing Images as Gaussians for Visual Recognition 3d gaussian splatting as new era: A survey
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:18.364413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c1fc16db-617d-46d9-86a7-162eed514be1 · outbound
This paper cites Efficient graph-based image segmentation.
GViT: Representing Images as Gaussians for Visual Recognition Efficient graph-based image segmentation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:18.238363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 579af9de-e56a-451e-b5b9-2714f0311f26 · outbound
This paper cites Understanding the difficulty of training deep feedfor- ward neural networks.
GViT: Representing Images as Gaussians for Visual Recognition Understanding the difficulty of training deep feedfor- ward neural networks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:18.119540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ff0bb9f3-9761-48f2-affb-e7a0de90b98a · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
GViT: Representing Images as Gaussians for Visual Recognition Explaining and Harnessing Adversarial Examples
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:11.771826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b192aebd-5bf7-4416-977f-feba17913d7e · outbound
This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.
GViT: Representing Images as Gaussians for Visual Recognition Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:11.840094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c6a61b4-d77f-49b5-bc12-b73b59d2e83d · outbound
This paper cites Faster neural networks straight from jpeg.
GViT: Representing Images as Gaussians for Visual Recognition Faster neural networks straight from jpeg
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.992426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc0b8bf2-6a07-4b45-a0b1-4398de97033a · outbound
This paper cites Masked autoencoders are scalable vision learners.
GViT: Representing Images as Gaussians for Visual Recognition Masked autoencoders are scalable vision learners
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:11.946548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 261a297a-38f0-42d1-a87a-84055dd8365c · outbound
This paper cites Deep residual learning for im- age recognition.
GViT: Representing Images as Gaussians for Visual Recognition Deep residual learning for im- age recognition
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.880417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 846f3813-b848-4d05-990d-3c5ce50e77ea · outbound
This paper cites Bytes are all you need: Transformers operating directly on file bytes.
GViT: Representing Images as Gaussians for Visual Recognition Bytes are all you need: Transformers operating directly on file bytes
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.757233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 200ecfb6-b37f-43f2-9086-224e9134a633 · outbound
This paper cites 2d gaussian splatting for geometrically accurate radiance fields.
GViT: Representing Images as Gaussians for Visual Recognition 2d gaussian splatting for geometrically accurate radiance fields
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.643782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa411bc1-4037-4db5-8286-9e0aeb480988 · outbound
This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.
GViT: Representing Images as Gaussians for Visual Recognition Perceiver IO: A General Architecture for Structured Inputs & Outputs
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.543035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b67a148-fc63-4ce8-97dd-954a45b029db · outbound
This paper cites Perceiver IO: A general architecture for structured inputs & outputs.
GViT: Representing Images as Gaussians for Visual Recognition Perceiver IO: A general architecture for structured inputs & outputs
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.398396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b1e8f434-2fcf-4c5b-a4b2-4ecf418d0a53 · outbound
This paper cites Perceiver: General Perception with Iterative Attention.
GViT: Representing Images as Gaussians for Visual Recognition Perceiver: General Perception with Iterative Attention
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.294073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ea2f901f-f3cd-4cd1-80f6-79f9c737a85f · outbound
This paper cites Superpixel sampling networks.
GViT: Representing Images as Gaussians for Visual Recognition Superpixel sampling networks
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.179891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3738d5c8-68ff-4a31-be72-2ea36e1b9ea0 · outbound
This paper cites Unsupervised image segmentation by backpropagation.
GViT: Representing Images as Gaussians for Visual Recognition Unsupervised image segmentation by backpropagation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:17.066064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56d5519e-e377-4930-93b9-f89ca3ee78ca · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.
GViT: Representing Images as Gaussians for Visual Recognition 3d gaussian splatting for real-time radiance field rendering
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:16.962101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6efc2d2-c4bc-4755-a961-289d45fa081b · outbound
This paper cites Seac and the start of image processing at the national bureau of standards.
GViT: Representing Images as Gaussians for Visual Recognition Seac and the start of image processing at the national bureau of standards
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:16.825354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ab25380-ec07-491d-b429-42da834e935e · outbound
This paper cites an unresolved cited work.
GViT: Representing Images as Gaussians for Visual Recognition Unresolved cited work
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6ba2d68d-75c3-4501-8c4f-b387e64c880e · outbound
This paper cites Kutulakos, David J.
GViT: Representing Images as Gaussians for Visual Recognition Kutulakos, David J
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:16.415159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6cba2a0-19ec-475c-a0c7-e0cc0eefc094 · outbound
This paper cites PyTorch Distributed: Experiences on Accelerating Data Parallel Training.
GViT: Representing Images as Gaussians for Visual Recognition PyTorch Distributed: Experiences on Accelerating Data Parallel Training
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c815d31-fe80-4758-a764-4601fe534137 · outbound
This paper cites A convnet for the 2020s.
GViT: Representing Images as Gaussians for Visual Recognition A convnet for the 2020s
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bdd6e5d4-4c34-4d8b-9461-9dcca0ac6c66 · outbound
This paper cites Object-centric learning with slot attention.
GViT: Representing Images as Gaussians for Visual Recognition Object-centric learning with slot attention
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d926a667-08f5-4c40-bb5b-b0e508e55a00 · outbound
This paper cites Sgdr: Stochastic gradient descent with warm restarts.
GViT: Representing Images as Gaussians for Visual Recognition Sgdr: Stochastic gradient descent with warm restarts
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:16.093469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 30cabcaf-6846-453f-a2e5-9f7095397d4b · outbound
This paper cites Decoupled Weight Decay Regularization.
GViT: Representing Images as Gaussians for Visual Recognition Decoupled Weight Decay Regularization
Reference 34
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9c6bfc4-7a58-4297-a4ed-650674a643db · outbound
This paper cites Enhance the Visual Representation via Discrete Adversarial Training.
GViT: Representing Images as Gaussians for Visual Recognition Enhance the Visual Representation via Discrete Adversarial Training
Reference 35
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cf18a7bb-9b6b-4674-8f32-bc1ff44f1e3c · outbound
This paper cites An image is worth more than 16x16 patches: Exploring transformers on individual pixels.
GViT: Representing Images as Gaussians for Visual Recognition An image is worth more than 16x16 patches: Exploring transformers on individual pixels
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:15.980100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42d1f6b9-685f-462f-9500-ad2e411fcf97 · outbound
This paper cites an unresolved cited work.
GViT: Representing Images as Gaussians for Visual Recognition Unresolved cited work
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e517d215-d6b7-45cc-b96d-efacca6aeec9 · outbound
This paper cites Rgb no more: Minimally-decoded jpeg vision transformers.
GViT: Representing Images as Gaussians for Visual Recognition Rgb no more: Minimally-decoded jpeg vision transformers
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:15.695604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51ff19dd-a76a-45ab-9c72-8799982fd377 · outbound
This paper cites Gaussian Masked Autoencoders.
GViT: Representing Images as Gaussians for Visual Recognition Gaussian Masked Autoencoders
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:47:14.169384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 326b0d3b-41f2-4a27-9b57-1129e725fce4 · outbound
This paper cites Learning a classification model for segmentation.
GViT: Representing Images as Gaussians for Visual Recognition Learning a classification model for segmentation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:15.493510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0836e8a5-4ef1-445b-bacb-576c6956ee30 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
GViT: Representing Images as Gaussians for Visual Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0ea71a1-20eb-4917-9fc1-5c0ec8c287e8 · outbound
This paper cites How to train your vit? data, augmentation, and regularization in vision transformers.
GViT: Representing Images as Gaussians for Visual Recognition How to train your vit? data, augmentation, and regularization in vision transformers
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:15.305740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a4d8a551-bbbe-44e0-a939-83fbef92fc93 · outbound
This paper cites Superpixels: An evaluation of the state-of-the-art.
GViT: Representing Images as Gaussians for Visual Recognition Superpixels: An evaluation of the state-of-the-art
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5340c48a-b528-4227-a4de-b16e52df9857 · outbound
This paper cites Single-view view synthesis with multiplane images.
GViT: Representing Images as Gaussians for Visual Recognition Single-view view synthesis with multiplane images
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:15.139091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 635841d9-9702-4ce9-8f0c-7eb7efbe101f · outbound
This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.
GViT: Representing Images as Gaussians for Visual Recognition Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:13.279370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffd14c20-ccef-4ae2-ab4f-20b68397693d · outbound
This paper cites Matching networks for one shot learning.
GViT: Representing Images as Gaussians for Visual Recognition Matching networks for one shot learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:13.354326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1d282c4-f13d-41c1-801a-ac2fb39a08f0 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
GViT: Representing Images as Gaussians for Visual Recognition Image quality assessment: from error visibility to structural similarity
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:13.357382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06c8f80a-1f85-441c-86cf-7007377b6e37 · outbound
This paper cites Beyond Language Models: Byte Models are Digital World Simulators.
GViT: Representing Images as Gaussians for Visual Recognition Beyond Language Models: Byte Models are Digital World Simulators
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:47:14.007426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5135e461-daef-48a1-bcdd-0af3d01951a0 · outbound
This paper cites Learning in the frequency domain.
GViT: Representing Images as Gaussians for Visual Recognition Learning in the frequency domain
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:14.983179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c8e13307-e537-4105-9de6-390e916900c0 · outbound
This paper cites gsplat: An open-source library for gaussian splatting.
GViT: Representing Images as Gaussians for Visual Recognition gsplat: An open-source library for gaussian splatting
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3daf0d46-cb1e-448f-a58b-7f7da4af2f18 · outbound
This paper cites Vector-quantized Image Modeling with Improved VQGAN.
GViT: Representing Images as Gaussians for Visual Recognition Vector-quantized Image Modeling with Improved VQGAN
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba8285a7-b6e8-454e-b4eb-2ab2b9d54e0a · outbound
This paper cites A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond.
GViT: Representing Images as Gaussians for Visual Recognition A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:13.697596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8da1c4bd-7218-4bd1-8d90-9ac99f21af3d · outbound
This paper cites Gaussianimage: 1000 fps image representation and compression by 2d gaussian splatting.
GViT: Representing Images as Gaussians for Visual Recognition Gaussianimage: 1000 fps image representation and compression by 2d gaussian splatting
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:47:14.800213Z
Source-reported events for the cited work
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Observation 9d935b03-d3ab-47a7-9c6d-74efc9df2911 · outbound
This paper cites Self-supervised learning of object parts for semantic segmentation.
GViT: Representing Images as Gaussians for Visual Recognition Self-supervised learning of object parts for semantic segmentation
Reference 54
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- raw_fallback, observed 2026-08-06T21:47:14.591969Z
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Pith citing papers
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