Paper Citation Record · LEDGER

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.02121.

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

pith.paper-citation-record.v1
2412.02121 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:51:23.966700Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy23
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d86f895-27a1-4d26-ac1b-9a37b91bb17d · outbound

This paper cites K-means++ the ad- vantages of careful seeding.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition K-means++ the ad- vantages of careful seeding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.354318Z

Source-reported events for the cited work

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Observation a1345666-ffea-47ff-967c-9257401df7ed · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Direc- tional self-supervised learning for heavy image augmenta- tions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.341027Z

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Observation a9a313dc-464e-4e4b-a0a0-a737c226b400 · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Deep clustering for unsupervised learning of visual features

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.329071Z

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Observation 0c394818-2bad-4e9d-8e29-f54bcc640d11 · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Unsupervised learning of visual features by contrasting cluster assignments

Reference 4

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Observation 984cd228-a19a-4b9c-927a-47a15c73f24e · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition A simple framework for contrastive learning of visual representations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.304294Z

Source-reported events for the cited work

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Observation cd8be077-12fb-43fd-b95c-9df0748a4994 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Exploring simple siamese rep- resentation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.291514Z

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Observation e9b337e5-e774-43c4-9520-ae60b7b89223 · outbound

This paper cites Cover and Joy A.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Cover and Joy A

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.279773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0b8b9ec-f492-40c0-b447-bb989510bc05 · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition solo-learn: A library of self- supervised methods for visual representation learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.268936Z

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Observation e675828e-f7ee-48eb-bdf9-3a5dca8171af · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Imagenet: A large-scale hierarchical image database

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.257320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 971fce28-8677-4e3a-a6f3-0ae9a9b58674 · outbound

This paper cites Whitening for self-supervised representation learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Whitening for self-supervised representation learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.245261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fa51b98-ad20-4719-9ca6-388cf8fc6758 · outbound

This paper cites Scaling and benchmarking self-supervised visual rep- resentation learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Scaling and benchmarking self-supervised visual rep- resentation learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.232192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bda36eea-8221-449c-bc79-1a08a4f89d65 · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Bootstrap your own latent-a new approach to self-supervised learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.219853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa93ca96-0202-425a-83aa-3848cf717965 · outbound

This paper cites Bits and pieces: Understanding information decomposition from part-whole relationships and formal logic.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Bits and pieces: Understanding information decomposition from part-whole relationships and formal logic

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.207597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2adc2b7b-c978-4176-bd50-e859e6735672 · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition On feature decorrelation in self- supervised learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.195348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a7b93f3-7ac6-4fb1-a834-2d51aa2c7014 · outbound

This paper cites Learning where to learn in cross-view self-supervised learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Learning where to learn in cross-view self-supervised learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.182841Z

Source-reported events for the cited work

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Observation b2d990ad-62fb-4a0a-84e9-b9c1c20b23a2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Adam: A Method for Stochastic Optimization

Reference 16

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Source-reported events for the cited work

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Observation 7a97e13e-1365-4d2d-beb3-8dbf734b8aab · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Learning multiple layers of features from tiny images

Reference 17

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Source-reported events for the cited work

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Observation 7218faff-2d57-46e5-b43b-fcfefa0040c3 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Tiny imagenet visual recognition challenge

Reference 18

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Source-reported events for the cited work

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Observation e3cf0801-ab41-4db9-a6dd-0e56ed546a2c · outbound

This paper cites Prototypical Contrastive Learning of Unsupervised Representations.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Prototypical Contrastive Learning of Unsupervised Representations

Reference 19

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Observation c00706e1-d744-4063-b397-d72879fdccfc · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Active uncertainty representation learn- ing: Toward more label efficiency in deep learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.155611Z

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Observation 024ae09b-9914-4718-87c8-51e6698992bf · outbound

This paper cites Deep Active Ensemble Sampling For Image Classification.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Deep Active Ensemble Sampling For Image Classification

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:51:24.028049Z

Source-reported events for the cited work

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Observation bb05e8a7-74f8-452e-bbfc-a6caf7a80711 · outbound

This paper cites Fussl: Fuzzy uncertain self supervised learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Fussl: Fuzzy uncertain self supervised learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.140695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a68bb544-9ace-4968-802d-3c38e46123a1 · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition More synergy, less redundancy: Exploiting joint mu- tual information for self-supervised learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.126524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b77ff76-d583-4bd8-9296-8166979c853f · outbound

This paper cites Tighter variational bounds are not necessarily better.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Tighter variational bounds are not necessarily better

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.113718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19db1a44-e4d5-47f3-8d38-3e8f86a5e180 · outbound

This paper cites Decomposed mutual information estimation for contrastive representation learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Decomposed mutual information estimation for contrastive representation learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.101430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65496ad0-210b-4686-98af-8d5e7728b267 · outbound

This paper cites What makes for good 9 views for contrastive learning? Advances in Neural Infor- mation Processing Systems, 33:6827–6839, 2020.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition What makes for good 9 views for contrastive learning? Advances in Neural Infor- mation Processing Systems, 33:6827–6839, 2020

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.087912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 991f37ac-843c-42e0-afdf-e3c870cbc64a · outbound

This paper cites Synergy, redundancy, and multivariate infor- mation measures: an experimentalist’s perspective.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Synergy, redundancy, and multivariate infor- mation measures: an experimentalist’s perspective

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.075678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32ce7644-61bb-4929-a971-4303119ec71a · outbound

This paper cites On Mutual Information Maximization for Representation Learning.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition On Mutual Information Maximization for Representation Learning

Reference 28

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Observation 6931fb88-977c-4183-b013-303139c91df7 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Nonnegative Decomposition of Multivariate Information

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T23:51:23.962597Z

Source-reported events for the cited work

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Observation 316b9108-1779-4902-98cd-c49298d7a55b · outbound

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

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition Barlow twins: Self-supervised learning via redundancy reduction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:24.063062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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