Paper Citation Record · LEDGER

Clustering Properties of Self-Supervised Learning

As of 15 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.18452.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18452 v2

Coverage vector

measured 56 of 56 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-09T23:29:44.338015Z

measured 56 of 56 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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Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation 5e421ce6-28e8-47d3-92c3-5cce50ea2517 · outbound

This paper cites write newline.

Clustering Properties of Self-Supervised Learning write newline

Reference 1

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Observation 99918e68-5d3d-4e2c-be3d-4ca61f3c3fcf · outbound

This paper cites A critical analysis of self-supervision, or what we can learn from a single image.

Clustering Properties of Self-Supervised Learning A critical analysis of self-supervision, or what we can learn from a single image

Reference 2

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This paper cites The Hidden Uniform Cluster Prior in Self-Supervised Learning.

Clustering Properties of Self-Supervised Learning The Hidden Uniform Cluster Prior in Self-Supervised Learning

Reference 3

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This paper cites Masked siamese networks for label-efficient learning.

Clustering Properties of Self-Supervised Learning Masked siamese networks for label-efficient learning

Reference 4

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

Clustering Properties of Self-Supervised Learning Self-supervised learning from images with a joint-embedding predictive architecture

Reference 5

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This paper cites D., and Buchwalter, W.

Clustering Properties of Self-Supervised Learning D., and Buchwalter, W

Reference 6

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Observation ae437fb9-4966-4f85-bce1-a55e74a61637 · outbound

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

Clustering Properties of Self-Supervised Learning BEiT: BERT Pre-Training of Image Transformers

Reference 7

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

Clustering Properties of Self-Supervised Learning Vicreg: Variance-invariance-covariance regularization for self-supervised learning

Reference 8

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This paper cites Reverse engineering self-supervised learning.

Clustering Properties of Self-Supervised Learning Reverse engineering self-supervised learning

Reference 9

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This paper cites No Free Lunch in Self Supervised Representation Learning.

Clustering Properties of Self-Supervised Learning No Free Lunch in Self Supervised Representation Learning

Reference 10

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Observation 72b9bfd3-683f-4c82-9cc1-4a580704e76a · outbound

This paper cites A Probabilistic Model Behind Self-Supervised Learning.

Clustering Properties of Self-Supervised Learning A Probabilistic Model Behind Self-Supervised Learning

Reference 11

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Observation 4723dc89-77b8-4c58-840b-481a992cd007 · outbound

This paper cites Food-101--mining discriminative components with random forests.

Clustering Properties of Self-Supervised Learning Food-101--mining discriminative components with random forests

Reference 12

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Observation 548ead5e-74c2-4fb7-aaab-da6a342e2cde · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

Clustering Properties of Self-Supervised Learning Deep clustering for unsupervised learning of visual features

Reference 13

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Observation f86910ff-a148-4126-a348-312fa0c8b0a3 · outbound

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

Clustering Properties of Self-Supervised Learning Unsupervised learning of visual features by contrasting cluster assignments

Reference 14

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Observation 9256be40-eb79-44c9-8f23-e9480c6728a6 · outbound

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

Clustering Properties of Self-Supervised Learning Emerging properties in self-supervised vision transformers

Reference 15

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

Clustering Properties of Self-Supervised Learning A simple framework for contrastive learning of visual representations

Reference 16

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This paper cites and He, K.

Clustering Properties of Self-Supervised Learning and He, K

Reference 17

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Observation d3617261-1361-4210-b3d0-9be7608ee972 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Clustering Properties of Self-Supervised Learning Improved Baselines with Momentum Contrastive Learning

Reference 18

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Observation 1e77668f-c9ed-48e4-8113-0e0ae9d80afa · outbound

This paper cites An empirical study of training self-supervised vision transformers.

Clustering Properties of Self-Supervised Learning An empirical study of training self-supervised vision transformers

Reference 19

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Observation 9eb67c4b-55fe-496e-8b26-8a1b381deb5b · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Clustering Properties of Self-Supervised Learning Sinkhorn distances: Lightspeed computation of optimal transport

Reference 20

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Clustering Properties of Self-Supervised Learning Unresolved cited work

Reference 21

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This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

Clustering Properties of Self-Supervised Learning ImageNet: A Large-Scale Hierarchical Image Database

Reference 22

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

Clustering Properties of Self-Supervised Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 23

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This paper cites Whitening for self-supervised representation learning.

Clustering Properties of Self-Supervised Learning Whitening for self-supervised representation learning

Reference 24

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Observation 04139a5b-815f-46bb-b72a-b63d504fcef7 · outbound

This paper cites How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization.

Clustering Properties of Self-Supervised Learning How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization

Reference 25

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

Clustering Properties of Self-Supervised Learning Bootstrap your own latent - a new approach to self-supervised learning

Reference 26

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This paper cites Understanding and Improving the Role of Projection Head in Self-Supervised Learning.

Clustering Properties of Self-Supervised Learning Understanding and Improving the Role of Projection Head in Self-Supervised Learning

Reference 27

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This paper cites Momentum contrast for unsupervised visual representation learning.

Clustering Properties of Self-Supervised Learning Momentum contrast for unsupervised visual representation learning

Reference 28

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This paper cites M., Khan, S., Yang, M.-H., and Khan, F.

Clustering Properties of Self-Supervised Learning M., Khan, S., Yang, M.-H., and Khan, F

Reference 29

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Clustering Properties of Self-Supervised Learning and Arabie, P

Reference 30

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This paper cites Understanding dimensional collapse in contrastive self-supervised learning.

Clustering Properties of Self-Supervised Learning Understanding dimensional collapse in contrastive self-supervised learning

Reference 31

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This paper cites Learning multiple layers of features from tiny images.

Clustering Properties of Self-Supervised Learning Learning multiple layers of features from tiny images

Reference 32

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Clustering Properties of Self-Supervised Learning Microsoft coco: Common objects in context

Reference 33

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Clustering Properties of Self-Supervised Learning Self-supervised learning via maximum entropy coding

Reference 34

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Clustering Properties of Self-Supervised Learning and Hutter, F

Reference 35

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This paper cites Deciphering the Projection Head: Representation Evaluation Self-supervised Learning.

Clustering Properties of Self-Supervised Learning Deciphering the Projection Head: Representation Evaluation Self-supervised Learning

Reference 36

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This paper cites Augmentations vs Algorithms: What Works in Self-Supervised Learning.

Clustering Properties of Self-Supervised Learning Augmentations vs Algorithms: What Works in Self-Supervised Learning

Reference 37

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This paper cites You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning.

Clustering Properties of Self-Supervised Learning You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning

Reference 38

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Clustering Properties of Self-Supervised Learning and Zisserman, A

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Clustering Properties of Self-Supervised Learning Representation Learning with Contrastive Predictive Coding

Reference 40

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Clustering Properties of Self-Supervised Learning DINOv2: Learning Robust Visual Features without Supervision

Reference 41

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Clustering Properties of Self-Supervised Learning Unresolved cited work

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Clustering Properties of Self-Supervised Learning M., Vedaldi, A., Zisserman, A., and Jawahar, C

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Clustering Properties of Self-Supervised Learning and Gupta, A

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Clustering Properties of Self-Supervised Learning Unresolved cited work

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Clustering Properties of Self-Supervised Learning Contrastive multiview coding

Reference 46

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Clustering Properties of Self-Supervised Learning and Hinton, G

Reference 47

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Clustering Properties of Self-Supervised Learning On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning

Reference 48

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Clustering Properties of Self-Supervised Learning The caltech-ucsd birds-200-2011 dataset

Reference 49

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Clustering Properties of Self-Supervised Learning and Liu, H

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Clustering Properties of Self-Supervised Learning and Isola, P

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Clustering Properties of Self-Supervised Learning M., Khan, S., and Khan, F

Reference 52

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Clustering Properties of Self-Supervised Learning M., Khan, S., Khan, F

Reference 53

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Clustering Properties of Self-Supervised Learning X., and Lin, D

Reference 54

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Clustering Properties of Self-Supervised Learning Barlow twins: Self-supervised learning via redundancy reduction

Reference 55

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Clustering Properties of Self-Supervised Learning Ressl: Relational self-supervised learning with weak augmentation

Reference 56

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Pith citing papers

No inbound Pith citation observations are available.