Paper Citation Record · LEDGER

Direct Coloring for Self-Supervised Enhanced Feature Decoupling

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.02109.

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

pith.paper-citation-record.v1
2412.02109 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:06.701734Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e4a1edf-8ed2-4b88-967d-df3346c57f0a · outbound

This paper cites Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction

Reference 1

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Observation d39c76ba-fa77-44ea-9d80-78f0614a28b6 · outbound

This paper cites Direc- tional self-supervised learning for heavy image augmenta- tions.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Direc- tional self-supervised learning for heavy image augmenta- tions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:06.566916Z

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Observation 578ebead-99e3-46f2-961e-446f628c5592 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Deep clustering for unsupervised learning of visual features

Reference 3

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Observation ad31a77e-321c-4100-94da-e65e1c266a69 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Unsupervised learning of visual features by contrasting cluster assignments

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:07.049054Z

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Observation cf1c6024-52d3-4d61-bdf3-18e0783ebca6 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Emerg- ing properties in self-supervised vision transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:07.039299Z

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Observation ae444743-fbe8-4110-bd86-b4fd4930de78 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling A simple framework for contrastive learning of visual representations

Reference 6

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Observation 4e1ffe67-6ead-4014-9a1e-01d1d81684c4 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Exploring simple siamese rep- resentation learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:07.019143Z

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Observation 4224af78-c868-4b34-b5f3-5d2239ceedb0 · outbound

This paper cites Understanding generalized whitening and col- oring transform for universal style transfer.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Understanding generalized whitening and col- oring transform for universal style transfer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:07.009112Z

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Observation 8697be63-fb76-40bc-aa94-ea4ad574fc81 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling solo-learn: A library of self- supervised methods for visual representation learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.998226Z

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Observation 792d3556-517d-4464-ba55-7ca346d0aec8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Imagenet: A large-scale hierarchical image database

Reference 10

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Observation 7b307a65-8ece-4c83-87f5-1338ef7207ac · outbound

This paper cites Whitening for self-supervised representation learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Whitening for self-supervised representation learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.982957Z

Source-reported events for the cited work

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Observation d6463b46-2c82-4bea-aabf-cb9d856b86d2 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling The pascal visual object classes (voc) challenge

Reference 12

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Observation 8f8d7726-a64a-429d-ab9a-cdb1c87fa639 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Bootstrap your own latent-a new approach to self-supervised learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.962625Z

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Observation eb3e3f08-cba9-4019-802c-01efe8eaeba1 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Momentum contrast for unsupervised visual rep- resentation learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.952412Z

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Observation 013a7c22-e09f-4781-bd74-4f0a6470e546 · outbound

This paper cites Deep residual learning for image recognition.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Deep residual learning for image recognition

Reference 15

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Observation b7a0a52d-afab-4dce-ae6d-0a6224b450ec · outbound

This paper cites Whitening and coloring transformations for multivariate gaussian data.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Whitening and coloring transformations for multivariate gaussian data

Reference 16

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Source-reported events for the cited work

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Observation ce42b7b8-1bc1-4114-becf-a415b2bb44c6 · outbound

This paper cites On feature decorrelation in self- supervised learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling On feature decorrelation in self- supervised learning

Reference 17

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Observation e89db87f-eb96-4087-992f-fd1f57eecba6 · outbound

This paper cites Self-supervised visual fea- ture learning with deep neural networks: A survey.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Self-supervised visual fea- ture learning with deep neural networks: A survey

Reference 18

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Observation e95abb05-b6db-4b80-b31e-f9acf9b6dfa4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Adam: A Method for Stochastic Optimization

Reference 19

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Observation 277e829f-69cc-4a06-8913-2fad9b696b44 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Learning multiple layers of features from tiny images

Reference 20

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Observation 9bf0d3f6-9228-41c8-9189-fbcc300e56b8 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Tiny imagenet visual recognition challenge

Reference 21

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Source-reported events for the cited work

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Observation 4cf39e5b-ee36-4674-8728-ea061472f352 · outbound

This paper cites Microsoft coco: Common objects in context.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Microsoft coco: Common objects in context

Reference 22

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Observation be7b9342-de87-4583-950e-139576a26ad3 · outbound

This paper cites Active uncertainty representation learn- ing: Toward more label efficiency in deep learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Active uncertainty representation learn- ing: Toward more label efficiency in deep learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.893781Z

Source-reported events for the cited work

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Observation 315cc9db-f8a3-44a2-9398-56b5f05e4552 · outbound

This paper cites Deep active ensemble sampling for image classification.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Deep active ensemble sampling for image classification

Reference 24

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Observation eb10097d-a36a-4a04-a256-e926ba411220 · outbound

This paper cites Fussl: Fuzzy uncertain self supervised learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Fussl: Fuzzy uncertain self supervised learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.874402Z

Source-reported events for the cited work

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Observation 7185e966-01b0-436d-bb74-f59f224825ef · outbound

This paper cites More synergy, less redundancy: Exploiting joint mu- tual information for self-supervised learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling More synergy, less redundancy: Exploiting joint mu- tual information for self-supervised learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.864899Z

Source-reported events for the cited work

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Observation a6ef2146-fac9-45ae-b168-6b102de1219b · outbound

This paper cites Enhancement of sinusoids in colored noise and the whitening performance of exact least squares predictors.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Enhancement of sinusoids in colored noise and the whitening performance of exact least squares predictors

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.855935Z

Source-reported events for the cited work

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Observation 77183be3-04f5-4d4d-9f11-bc1f5ad28090 · outbound

This paper cites Unsu- pervised domain adaptation using full-feature whitening and colouring.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Unsu- pervised domain adaptation using full-feature whitening and colouring

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.847090Z

Source-reported events for the cited work

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Observation 2c81c227-97fd-480d-9267-fd2aa79f8ac4 · outbound

This paper cites Backdoor attacks on self- supervised learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Backdoor attacks on self- supervised learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.838017Z

Source-reported events for the cited work

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Observation bf91b0ae-ae2d-461d-b8bf-107d714d248a · outbound

This paper cites Whitening and Coloring batch transform for GANs.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Whitening and Coloring batch transform for GANs

Reference 30

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Observation 55b3e81e-8c76-4430-94bc-dc51e8aef505 · outbound

This paper cites Con- trastive multiview coding.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Con- trastive multiview coding

Reference 31

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This paper cites What makes for good views for contrastive learning? Advances in Neural Infor- mation Processing Systems, 33:6827–6839, 2020.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling What makes for good views for contrastive learning? Advances in Neural Infor- mation Processing Systems, 33:6827–6839, 2020

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.819409Z

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Observation d59d074e-211e-4b00-8e2b-e4457fca1801 · outbound

This paper cites The information bottleneck method.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling The information bottleneck method

Reference 33

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Observation 87f12e19-3fc0-4ce0-aeda-3a0a86ba00ad · outbound

This paper cites Un- supervised representation learning by invariance propaga- tion.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Un- supervised representation learning by invariance propaga- tion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.810110Z

Source-reported events for the cited work

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Observation ddcb64b4-996e-4d27-8ae4-9b9437e761b3 · outbound

This paper cites Toward understanding the fea- ture learning process of self-supervised contrastive learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Toward understanding the fea- ture learning process of self-supervised contrastive learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.800649Z

Source-reported events for the cited work

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Observation d9cb5188-5a8e-4d58-99d6-a61fbfc56bea · outbound

This paper cites The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning

Reference 36

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Observation 32ec3b4e-be14-450f-b990-19d4d3a1a33e · outbound

This paper cites Seed the views: Hi- erarchical semantic alignment for contrastive representation learning.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Seed the views: Hi- erarchical semantic alignment for contrastive representation learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.791015Z

Source-reported events for the cited work

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Observation b5dd7f9d-2130-47b4-9935-fbc250416171 · outbound

This paper cites Photorealistic style transfer via wavelet transforms.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Photorealistic style transfer via wavelet transforms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:06.698127Z

Source-reported events for the cited work

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Observation 86d6de8d-7a3d-4c38-8172-9d135a8f6471 · outbound

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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling Barlow twins: Self-supervised learning via redundancy reduction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:54:06.776219Z

Source-reported events for the cited work

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Pith citing papers

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