Self-Distillation of Hidden Layers for Self-Supervised Representation Learning | Paper Citation Record

Observation 18bee48b-d9e4-4cb3-b148-efbb9429ccdb · outbound

This paper cites write newline.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:29.210899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d247fa89-3dd1-4fcb-8121-5ef947af325a · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:29.452431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ac3c1d-1f9f-4ef0-a149-cd6b3a7aaff1 · outbound

This paper cites MultiMAE : Multi-modal multi-task masked autoencoders.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning MultiMAE : Multi-modal multi-task masked autoencoders

Reference 4

Resolution: verified exact; doi, observed 2026-08-02T18:14:01.667586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0603e70-837d-46f9-978c-da6b660ba355 · outbound

This paper cites data2vec: A general framework for self-supervised learning in speech, vision and language.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning data2vec: A general framework for self-supervised learning in speech, vision and language

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:29.851651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eae655d-7ef3-4661-afa2-58bee82b38c5 · outbound

This paper cites Efficient self-supervised learning with contextualized target representations for vision, speech and language.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Efficient self-supervised learning with contextualized target representations for vision, speech and language

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.029383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d38da3f2-cee3-4fb6-960c-43e0f6d53e44 · outbound

This paper cites BEiT : BERT pre-training of image transformers.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning BEiT : BERT pre-training of image transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.196630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d6c3cf7-91a0-4e9e-b83c-80879498ee89 · outbound

This paper cites VICR eg: Variance-invariance-covariance regularization for self-supervised learning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning VICR eg: Variance-invariance-covariance regularization for self-supervised learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.322996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05c5a5b-3571-4d06-a373-5267761aa2b7 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.414325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01e3447-c6c5-48e5-91f5-7e5e6b1dba94 · outbound

This paper cites Network dissection: Quantifying interpretability of deep visual representations.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Network dissection: Quantifying interpretability of deep visual representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.502236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c449a7b-8984-4324-be02-f1542ad9e2e8 · outbound

This paper cites Perception encoder: The best visual embeddings are not at the output of the network.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Perception encoder: The best visual embeddings are not at the output of the network

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.666291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1488339-433d-40c6-b160-0830ae32b827 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unsupervised learning of visual features by contrasting cluster assignments

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:30.866017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95542cd8-85fd-48e1-8926-503b63be653f · outbound

This paper cites VL-JEPA : Joint embedding predictive architecture for vision-language.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning VL-JEPA : Joint embedding predictive architecture for vision-language

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.076011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de46d121-3c87-4948-8f92-97a88d4497bc · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning A simple framework for contrastive learning of visual representations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.171750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da0b1bda-5792-428e-a505-3d7b63da41ec · outbound

This paper cites Exploring simple siamese representation learning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Exploring simple siamese representation learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.263324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7224f578-c4a7-4146-ba08-dc423747c860 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Improved Baselines with Momentum Contrastive Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.349964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c4f058-da6a-4c57-abdd-737aa5bf2dc6 · outbound

This paper cites Whatever next? P redictive brains, situated agents, and the future of cognitive science.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Whatever next? P redictive brains, situated agents, and the future of cognitive science

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.534879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0268c35-b832-42e2-b9be-273f7b2e33d0 · outbound

This paper cites SatMAE : Pre-training transformers for temporal and multi-spectral satellite imagery.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning SatMAE : Pre-training transformers for temporal and multi-spectral satellite imagery

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.661063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fca9b85-bd2e-4b04-8f4c-bf50fc2fbe3e · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning The cityscapes dataset for semantic urban scene understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.807163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26cfb88-23fe-4de7-896a-f9a1b3284b40 · outbound

This paper cites Vision transformers need registers.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Vision transformers need registers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.869311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c762cf80-7862-41d6-bbfb-ca0a3c0136b6 · outbound

This paper cites Cluster and predict latents patches for improved masked image modeling.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Cluster and predict latents patches for improved masked image modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:31.957030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b24dcb-f8e8-4c84-92a2-5ce40b2f7b8f · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 24

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:11:32.048632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb7519a-7ea8-4101-a300-294955f63fab · outbound

This paper cites PeCo : Perceptual codebook for BERT pre-training of vision transformers.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning PeCo : Perceptual codebook for BERT pre-training of vision transformers

Reference 25

Resolution: verified exact; doi, observed 2026-08-02T18:14:01.087057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0156d54c-500b-41be-abc8-7e82f0fce037 · outbound

This paper cites Brain-JEPA : Brain dynamics foundation model with gradient positioning and spatiotemporal masking.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Brain-JEPA : Brain dynamics foundation model with gradient positioning and spatiotemporal masking

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:32.280847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297ce068-989e-4153-a91d-7fcbc1e0d228 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:32.409536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0281bf68-2698-4417-9314-ce56e293da97 · outbound

This paper cites an unresolved cited work.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:32.591978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7293d926-4e4f-48a8-87ef-f1512d31f6cd · outbound

This paper cites A-JEPA: Joint-Embedding Predictive Architecture Can Listen.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning A-JEPA: Joint-Embedding Predictive Architecture Can Listen

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:32.731145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375095c0-685d-414b-b901-3d6b9c78c3ae · outbound

This paper cites A theory of cortical responses.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning A theory of cortical responses

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:32.851759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc64a0d-3bb4-4195-9bc5-ef14d90cc6e1 · outbound

This paper cites Predictive coding under the free-energy principle.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Predictive coding under the free-energy principle

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:32.911817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a5c9ac-ff94-4d76-b864-33f17b49327c · outbound

This paper cites Efros, and Ken Goldberg.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Efros, and Ken Goldberg

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.004366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc3ccd06-9916-496c-ba15-200225472452 · outbound

This paper cites an unresolved cited work.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.091202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b20157-9a04-4135-bc30-2755082e0d70 · outbound

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

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Bootstrap your own latent - a new approach to self-supervised learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.172484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b9543a-56a2-4ba7-ad40-af9724657e0f · outbound

This paper cites Using a joint-embedding predictive architecture for symbolic music understanding.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Using a joint-embedding predictive architecture for symbolic music understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.235754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8932240c-19fe-4e43-a54f-5b8d64e79287 · outbound

This paper cites ColorMAE : Exploring data-independent masking strategies in masked autoencoders.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning ColorMAE : Exploring data-independent masking strategies in masked autoencoders

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.351373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f65a7fa-d9a0-4a95-9106-12b57c27c6b7 · outbound

This paper cites Generic decoding of seen and imagined objects using hierarchical visual features.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Generic decoding of seen and imagined objects using hierarchical visual features

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.443481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc5d7ed-d262-4d7f-95ad-db45745762fc · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.525813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51708e83-013f-45b9-9b75-b5bc0a72eeeb · outbound

This paper cites Masked autoencoders that listen.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Masked autoencoders that listen

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.619013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a69a273-0218-467c-b0c4-8674467412ff · outbound

This paper cites iNaturalist 2021 competition dataset.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning iNaturalist 2021 competition dataset

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.709301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed5ace7-2cd9-46e4-ad09-4390a11608f7 · outbound

This paper cites Keller and Thomas D.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Keller and Thomas D

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.802202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbd919f-a40d-4d2a-b041-ce0717bfa430 · outbound

This paper cites Similarity of neural network representations revisited.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Similarity of neural network representations revisited

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.863867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d8fc61-e45b-4203-8990-70865d3a94ad · outbound

This paper cites M3- JEPA : Multimodal alignment via multi-gate M o E based on the joint-embedding predictive architecture.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning M3- JEPA : Multimodal alignment via multi-gate M o E based on the joint-embedding predictive architecture

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:33.909423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a91463-8f67-4990-bf10-85434b7457bc · outbound

This paper cites Lepori, Alexa R.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Lepori, Alexa R

Reference 45

Resolution: verified exact; doi, observed 2026-08-02T18:14:00.768949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f8f99cf-b842-4eb7-8844-4a7f6e856fca · outbound

This paper cites Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.065674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5906c9-216d-4206-bc48-b887d9578549 · outbound

This paper cites Connecting joint-embedding predictive architecture with contrastive self-supervised learning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Connecting joint-embedding predictive architecture with contrastive self-supervised learning

Reference 47

Resolution: verified exact; doi, observed 2026-08-02T18:14:00.455143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8158b104-a566-4010-8aed-699e38424d9d · outbound

This paper cites Self-supervised predictive learning accounts for cortical layer-specificity.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Self-supervised predictive learning accounts for cortical layer-specificity

Reference 48

Resolution: verified exact; doi, observed 2026-08-02T18:14:00.175118Z

Source-reported events for the cited work

correction dated 2025-10-22. Source: crossref record 10.1038/s41467-025-65076-5->10.1038/s41467-025-61399-5:correction, observed 2026-07-11T02:57:25.91959+00:00. This notice travels one citation hop only.

Observation a5cc06e4-7e2e-4fbe-b0fd-590a7fa8ebd8 · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.223967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471bda98-8e27-433e-9940-341e2cfbb0f6 · outbound

This paper cites an unresolved cited work.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.302191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b323aa8-e3b6-4818-9ae8-51a9f317e1df · outbound

This paper cites What do self-supervised vision transformers learn? In The Eleventh International Conference on Learning Representations, 2023.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning What do self-supervised vision transformers learn? In The Eleventh International Conference on Learning Representations, 2023

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.391466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c98df7-0f67-4d78-b3cc-5ab0ba3ff9a8 · outbound

This paper cites Do vision transformers see like convolutional neural networks? In M.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Do vision transformers see like convolutional neural networks? In M

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.453132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56f0952-8a5e-48e1-82e8-008a2c3cf49d · outbound

This paper cites an unresolved cited work.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unresolved cited work

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:11:34.506697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb69e30-2fa9-4bb7-baf2-92169d872803 · outbound

This paper cites Disentangling the Factors of Convergence between Brains and Computer Vision Models.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.562853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c19b29b5-25ed-435d-8514-07779facaae5 · outbound

This paper cites Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.665019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636bdd98-f83c-4043-9bce-718815705187 · outbound

This paper cites Berg, and Li Fei-Fei.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Berg, and Li Fei-Fei

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.707005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2dba60-6c81-4e14-b752-d1f2cb375750 · outbound

This paper cites Enhancing DNA Foundation Models to Address Masking Inefficiencies.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Enhancing DNA Foundation Models to Address Masking Inefficiencies

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-08-02T18:13:59.677290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa0398d6-fac2-4096-a31a-9b14344a15c5 · outbound

This paper cites DINOv3.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning DINOv3

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.817490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6e4b740-b659-4d7b-832b-6be76ddf97e1 · outbound

This paper cites Segmenter: Transformer for semantic segmentation.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Segmenter: Transformer for semantic segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.878790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beee27cc-1806-4823-8f8f-f53b09e3df06 · outbound

This paper cites RoFormer : Enhanced transformer with rotary position embedding.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning RoFormer : Enhanced transformer with rotary position embedding

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.938506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa2b578-04aa-4ef6-b87a-e4a94ac5199d · outbound

This paper cites Many-two-one: Diverse representations across visual pathways emerge from a single objective.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Many-two-one: Diverse representations across visual pathways emerge from a single objective

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:34.998145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8bc09e6-7362-4317-81af-3460eb340b36 · outbound

This paper cites T- JEPA : Augmentation-free self-supervised learning for tabular data.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning T- JEPA : Augmentation-free self-supervised learning for tabular data

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.059330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17a5a9d2-574d-4d27-a0ef-de7d4175cfcc · outbound

This paper cites The information bottleneck method.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning The information bottleneck method

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.115163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f1a689-e70f-43c9-9a42-817712dc2b54 · outbound

This paper cites Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.194361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 606058f3-d65f-4693-bd93-857cf8c5000c · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Representation Learning with Contrastive Predictive Coding

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.284551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86202b4b-092b-4f7b-956b-31d3ef825465 · outbound

This paper cites The iNaturalist species classification and detection dataset.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning The iNaturalist species classification and detection dataset

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.349275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6385984-f60b-4c8b-83b5-9e4ad4322733 · outbound

This paper cites Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.535321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c4f850-4359-4d6c-847c-a162c0cc2f87 · outbound

This paper cites Vilas, Timothy Schauml\" o ffel, and Gemma Roig.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Vilas, Timothy Schauml\" o ffel, and Gemma Roig

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.578435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbaf706c-6761-4a4d-9a5b-d1bd61fce922 · outbound

This paper cites VideoMAE V2 : Scaling video masked autoencoders with dual masking.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning VideoMAE V2 : Scaling video masked autoencoders with dual masking

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.669815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 635896ef-ca1f-457e-bb53-1e8f20f6f82e · outbound

This paper cites Delving into masked autoencoders for multi-label thorax disease classification.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Delving into masked autoencoders for multi-label thorax disease classification

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.821661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77a0207-ce9c-4f49-9640-e610fc975697 · outbound

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

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning SimMiM : A simple framework for masked image modeling

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.896948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d59caf-5ed9-4705-885a-f2d09b3997af · outbound

This paper cites an unresolved cited work.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:35.986653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b741c7-508e-47b5-bace-b818be333507 · outbound

This paper cites an unresolved cited work.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.071764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ceca00-2079-4633-adb5-02626f2c7a14 · outbound

This paper cites Learning efficient coding of natural images with maximum manifold capacity representations.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Learning efficient coding of natural images with maximum manifold capacity representations

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.168431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16e4ff2-4e3d-484f-b7cb-c624da0d4e8f · outbound

This paper cites WavJEPA : Semantic learning unlocks robust audio foundation models for raw waveforms.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning WavJEPA : Semantic learning unlocks robust audio foundation models for raw waveforms

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.227181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b98c6f57-aaec-47ab-9c9f-0ef7bad1604e · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Barlow twins: Self-supervised learning via redundancy reduction

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.283945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042d9855-8606-4259-9779-a76cedd8c603 · outbound

This paper cites Zeiler and Rob Fergus.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Zeiler and Rob Fergus

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.379036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b464598-bf78-4593-9734-3a7f9c71a1d1 · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.446282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4beaa4b3-cdd2-4992-b885-e654194a4e74 · outbound

This paper cites Point- M2AE : Multi-scale masked autoencoders for hierarchical point cloud pre-training.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Point- M2AE : Multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.541452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ac78ce-a600-478f-9bb0-69b0bf51c448 · outbound

This paper cites Object Detectors Emerge in Deep Scene CNNs.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Object Detectors Emerge in Deep Scene CNNs

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.595814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39ee132-783b-480a-9573-8360c415062e · outbound

This paper cites Scene parsing through ADE20K dataset.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Scene parsing through ADE20K dataset

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.659332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4492f70b-79fa-46d6-a6c0-1cec19fb4966 · outbound

This paper cites Image BERT pre-training with online tokenizer.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Image BERT pre-training with online tokenizer

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.754520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b58b76-fe6b-4958-a2ca-b2ba9bd480f5 · outbound

This paper cites Self pre-training with masked autoencoders for medical image classification and segmentation.

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning Self pre-training with masked autoencoders for medical image classification and segmentation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-02T18:11:36.820808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers