Seeing the Whole in the Parts in Self-Supervised Representation Learning | Paper Citation Record

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This paper cites Self-supervised classification network.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised classification network

Reference 1

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This paper cites Unsupervised state representation learning in atari.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Unsupervised state representation learning in atari

Reference 2

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Observation 78607ab5-d11c-4828-8e36-6217ee87be0d · outbound

This paper cites Computing receptive fields of convolutional neural networks.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Computing receptive fields of convolutional neural networks

Reference 3

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised learning from images with a joint-embedding predictive architecture

Reference 4

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This paper cites Ernst, C \'e line Teuli \`e re, and Jochen Triesch.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Ernst, C \'e line Teuli \`e re, and Jochen Triesch

Reference 5

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This paper cites Does the brain's ventral visual pathway compute object shape? Trends in Cognitive Sciences, 26 0 (12): 0 1119--1132, 2022.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Does the brain's ventral visual pathway compute object shape? Trends in Cognitive Sciences, 26 0 (12): 0 1119--1132, 2022

Reference 6

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This paper cites Learning representations by maximizing mutual information across views.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Learning representations by maximizing mutual information across views

Reference 7

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Observation d8414204-7363-4ce5-932d-53a4ece85d1c · outbound

This paper cites Deep learning models fail to capture the configural nature of human shape perception.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Deep learning models fail to capture the configural nature of human shape perception

Reference 8

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This paper cites Deep convolutional networks do not classify based on global object shape.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Deep convolutional networks do not classify based on global object shape

Reference 9

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Observation 6da08065-f07e-43bf-982b-11c1334e1627 · outbound

This paper cites Beit: Bert pre-training of image transformers.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Beit: Bert pre-training of image transformers

Reference 10

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning Vicreg: Variance-invariance-covariance regularization for self-supervised learning

Reference 11

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Observation 5ea2fea6-a17a-48e5-b3b3-01d0be0841b3 · outbound

This paper cites Vicregl: Self-supervised learning of local visual features.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Vicregl: Self-supervised learning of local visual features

Reference 12

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Observation 30d687b1-72da-4281-a8fc-bc718fbf4c67 · outbound

This paper cites Towards Democratizing Joint-Embedding Self-Supervised Learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Towards Democratizing Joint-Embedding Self-Supervised Learning

Reference 13

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This paper cites Approximating cnns with bag-of-local-features models works surprisingly well on imagenet.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Approximating cnns with bag-of-local-features models works surprisingly well on imagenet

Reference 14

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning Unsupervised learning of visual features by contrasting cluster assignments

Reference 15

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning Emerging properties in self-supervised vision transformers

Reference 16

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning A simple framework for contrastive learning of visual representations

Reference 17

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This paper cites Exploring simple siamese representation learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Exploring simple siamese representation learning

Reference 18

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This paper cites Improved Baselines with Momentum Contrastive Learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Improved Baselines with Momentum Contrastive Learning

Reference 19

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning An empirical study of training self-supervised vision transformers

Reference 20

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This paper cites Intra-instance vicreg: Bag of self-supervised image patch embedding explains the performance.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Intra-instance vicreg: Bag of self-supervised image patch embedding explains the performance

Reference 21

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This paper cites solo-learn: A library of self-supervised methods for visual representation learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning solo-learn: A library of self-supervised methods for visual representation learning

Reference 22

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This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Scaling up your kernels to 31x31: Revisiting large kernel design in cnns

Reference 23

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This paper cites With a little help from my friends: Nearest-neighbor contrastive learning of visual representations.

Seeing the Whole in the Parts in Self-Supervised Representation Learning With a little help from my friends: Nearest-neighbor contrastive learning of visual representations

Reference 24

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This paper cites All4one: Symbiotic neighbour contrastive learning via self-attention and redundancy reduction.

Seeing the Whole in the Parts in Self-Supervised Representation Learning All4one: Symbiotic neighbour contrastive learning via self-attention and redundancy reduction

Reference 25

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This paper cites Unsupervised statistical learning of higher-order spatial structures from visual scenes.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Unsupervised statistical learning of higher-order spatial structures from visual scenes

Reference 26

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This paper cites Statistical learning of higher-order temporal structure from visual shape sequences.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Statistical learning of higher-order temporal structure from visual shape sequences

Reference 27

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This paper cites Encoding multielement scenes: statistical learning of visual feature hierarchies.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Encoding multielement scenes: statistical learning of visual feature hierarchies

Reference 28

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This paper cites A Review on Discriminative Self-supervised Learning Methods in Computer Vision.

Seeing the Whole in the Parts in Self-Supervised Representation Learning A Review on Discriminative Self-supervised Learning Methods in Computer Vision

Reference 29

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This paper cites Learning representations by predicting bags of visual words.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Learning representations by predicting bags of visual words

Reference 30

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning Bootstrap your own latent: A new approach to self-supervised learning

Reference 31

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This paper cites Deep residual learning for image recognition.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Deep residual learning for image recognition

Reference 32

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This paper cites Momentum contrast for unsupervised visual representation learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Momentum contrast for unsupervised visual representation learning

Reference 33

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This paper cites Masked autoencoders are scalable vision learners.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Masked autoencoders are scalable vision learners

Reference 34

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This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Benchmarking neural network robustness to common corruptions and perturbations

Reference 35

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This paper cites Data augmentation instead of explicit regularization.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Data augmentation instead of explicit regularization

Reference 36

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This paper cites Learning deep representations by mutual information estimation and maximization.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Learning deep representations by mutual information estimation and maximization

Reference 37

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This paper cites Adco: Adversarial contrast for efficient learning of unsupervised representations from self-trained negative adversaries.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Adco: Adversarial contrast for efficient learning of unsupervised representations from self-trained negative adversaries

Reference 38

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This paper cites Texture-like representation of objects in human visual cortex.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Texture-like representation of objects in human visual cortex

Reference 39

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This paper cites Self-distilled self-supervised representation learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-distilled self-supervised representation learning

Reference 40

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This paper cites Shape-selective processing in deep networks: integrating the evidence on perceptual integration.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Shape-selective processing in deep networks: integrating the evidence on perceptual integration

Reference 41

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This paper cites Transformers in vision: A survey.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Transformers in vision: A survey

Reference 42

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This paper cites Adversarial examples in the physical world.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Adversarial examples in the physical world

Reference 43

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This paper cites Are we ready for a new paradigm shift? a survey on visual deep mlp.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Are we ready for a new paradigm shift? a survey on visual deep mlp

Reference 44

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This paper cites Self-supervised learning via maximum entropy coding.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised learning via maximum entropy coding

Reference 45

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This paper cites A convnet for the 2020s.

Seeing the Whole in the Parts in Self-Supervised Representation Learning A convnet for the 2020s

Reference 46

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This paper cites Understanding the effective receptive field in deep convolutional neural networks.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Understanding the effective receptive field in deep convolutional neural networks

Reference 47

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This paper cites Deep reinforcement and infomax learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Deep reinforcement and infomax learning

Reference 48

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Seeing the Whole in the Parts in Self-Supervised Representation Learning Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 49

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This paper cites Self-supervised learning with an information maximization criterion.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised learning with an information maximization criterion

Reference 50

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This paper cites On the integration of self-attention and convolution.

Seeing the Whole in the Parts in Self-Supervised Representation Learning On the integration of self-attention and convolution

Reference 51

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This paper cites Unsupervised visual representation learning by synchronous momentum grouping.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Unsupervised visual representation learning by synchronous momentum grouping

Reference 52

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This paper cites Self-supervised video pretraining yields robust and more human-aligned visual representations.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised video pretraining yields robust and more human-aligned visual representations

Reference 53

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This paper cites Learning transferable visual models from natural language supervision.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Learning transferable visual models from natural language supervision

Reference 54

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This paper cites Foolbox: A Python toolbox to benchmark the robustness of machine learning models.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Foolbox: A Python toolbox to benchmark the robustness of machine learning models

Reference 55

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This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 56

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This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 57

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This paper cites Understanding self-supervised learning dynamics without contrastive pairs.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Understanding self-supervised learning dynamics without contrastive pairs

Reference 58

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This paper cites EMP-SSL: Towards Self-Supervised Learning in One Training Epoch.

Seeing the Whole in the Parts in Self-Supervised Representation Learning EMP-SSL: Towards Self-Supervised Learning in One Training Epoch

Reference 59

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Observation e892d56c-0ed2-406e-9ce9-19c39f77ec59 · outbound

This paper cites Patches are all you need? Transactions on Machine Learning Research, 2023.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Patches are all you need? Transactions on Machine Learning Research, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.969767Z

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Observation 743e971a-cb86-412a-aed0-348397fcd76f · outbound

This paper cites The automaticity of visual statistical learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning The automaticity of visual statistical learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.946409Z

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Observation ae13ac6f-6b57-4523-b6a7-62bb912d89a6 · outbound

This paper cites Self-supervised learning by estimating twin class distribution.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised learning by estimating twin class distribution

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.918189Z

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Observation d4ee1229-fdd3-436d-9b67-ea5e177c9b0d · outbound

This paper cites Pose-aware self-supervised learning with viewpoint trajectory regularization.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Pose-aware self-supervised learning with viewpoint trajectory regularization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.893939Z

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Observation 7cc5d9ca-b596-49c1-a2c5-56fa30262f12 · outbound

This paper cites Contrastive learning with stronger augmentations.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Contrastive learning with stronger augmentations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.875128Z

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Observation 2d326493-4ad6-429c-9cc2-cfbe9ec9557b · outbound

This paper cites Caco: Both positive and negative samples are directly learnable via cooperative-adversarial contrastive learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Caco: Both positive and negative samples are directly learnable via cooperative-adversarial contrastive learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.849822Z

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Observation 5f6029ed-715a-4120-a7e6-1127cce260c6 · outbound

This paper cites Dense contrastive learning for self-supervised visual pre-training.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Dense contrastive learning for self-supervised visual pre-training

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.827201Z

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Observation f006865a-b60f-48a3-8c48-be90dc0b6c21 · outbound

This paper cites Detco: Unsupervised contrastive learning for object detection.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Detco: Unsupervised contrastive learning for object detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.800361Z

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Observation baae4dd8-aba6-4cf9-9e9f-1482e7dbbe27 · outbound

This paper cites Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.773155Z

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Observation c1da68de-8228-4422-a759-ae50d9f4d4f7 · outbound

This paper cites Patch-level representation learning for self-supervised vision transformers.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Patch-level representation learning for self-supervised vision transformers

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.755836Z

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Observation 33cc328e-429d-4974-9b0f-716ab51f1600 · outbound

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

Seeing the Whole in the Parts in Self-Supervised Representation Learning Barlow twins: Self-supervised learning via redundancy reduction

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:10.334280Z

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This paper cites Matrix information theory for self-supervised learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Matrix information theory for self-supervised learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.719586Z

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Observation 7e1d2a00-a8e1-489f-b6f5-7a5e399c3c96 · outbound

This paper cites Places: A 10 million image database for scene recognition.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Places: A 10 million image database for scene recognition

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:10.344443Z

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Observation 2d1bf3e5-87a1-4bba-b878-d3d67094b438 · outbound

This paper cites Self-supervised learning of object parts for semantic segmentation.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Self-supervised learning of object parts for semantic segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:10.675508Z

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Observation bd10a7ce-5c17-408f-8b2f-2723c025c8e8 · outbound

This paper cites write newline.

Seeing the Whole in the Parts in Self-Supervised Representation Learning write newline

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:10.354775Z

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Observation 21c7602c-745c-4cef-ba17-38fe222bc1f9 · outbound

This paper cites @esa (Ref.

Seeing the Whole in the Parts in Self-Supervised Representation Learning @esa (Ref

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:10.360946Z

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Observation a9812bec-8698-400c-a0d9-245a99b03932 · outbound

This paper cites an unresolved cited work.

Seeing the Whole in the Parts in Self-Supervised Representation Learning Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:10.368863Z

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This paper cites A survey on intrinsic motivation in reinforcement learning.

Seeing the Whole in the Parts in Self-Supervised Representation Learning A survey on intrinsic motivation in reinforcement learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:10.376190Z

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