Paper Citation Record · LEDGER

On Mutual Information Maximization for Representation Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1907.13625.

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

pith.paper-citation-record.v1
1907.13625 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:11.540244Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

220
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 70600f9c-7919-4778-a2c9-061f52116caf · inbound

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

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark On Mutual Information Maximization for Representation Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:12:05.826407Z

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 22a05829-170b-4e24-986f-0845431ea2fe · inbound

A Simple Framework for Contrastive Learning of Visual Representations cites this paper.

A Simple Framework for Contrastive Learning of Visual Representations On Mutual Information Maximization for Representation Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:31:53.339899Z

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 30896a5b-7d10-46ec-9996-891d6d31cfe7 · inbound

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

Revisiting Feature Prediction for Learning Visual Representations from Video On Mutual Information Maximization for Representation Learning

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T12:40:23.961091Z

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 09910e01-e78b-47c1-9af7-39a5c4b29b77 · inbound

A Mathematical Perspective On Contrastive Learning cites this paper.

A Mathematical Perspective On Contrastive Learning On Mutual Information Maximization for Representation Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:11.540244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7339ba12-af84-48d9-b96b-df14e369345b · inbound

DeInfoReg: A Decoupled Learning Framework for Better Training Throughput cites this paper.

DeInfoReg: A Decoupled Learning Framework for Better Training Throughput On Mutual Information Maximization for Representation Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:57.626429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af1a60b1-0a08-48e8-8aa9-f17e2db72715 · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning On Mutual Information Maximization for Representation Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:26:49.833600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7950e97-1992-4efa-bc1d-14d61aa1d00d · inbound

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning cites this paper.

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning On Mutual Information Maximization for Representation Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:56:59.660079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387def19-6c8f-40e8-9976-398bd35603e4 · inbound

Structure Maintained Representation Learning Neural Network for Causal Inference cites this paper.

Structure Maintained Representation Learning Neural Network for Causal Inference On Mutual Information Maximization for Representation Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T05:24:25.551345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc3de95-4e55-41f6-83b4-6200ca066d95 · inbound

Language-Aware Information Maximization for Transductive Few-Shot CLIP cites this paper.

Language-Aware Information Maximization for Transductive Few-Shot CLIP On Mutual Information Maximization for Representation Learning

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:29.928805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ca47cb-2e3d-4a12-9dba-f85fd3a44ea0 · inbound

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense cites this paper.

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense On Mutual Information Maximization for Representation Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T07:04:35.517654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c82268-bee7-4de0-837e-b6aa83bb4b39 · inbound

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model cites this paper.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model On Mutual Information Maximization for Representation Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:08.616505Z

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 295ee554-8b17-46c3-98c8-4c4ee7987ff9 · inbound

Information as Maximum-Caliber Deviation: A bridge between Integrated Information Theory and the Free Energy Principle cites this paper.

Information as Maximum-Caliber Deviation: A bridge between Integrated Information Theory and the Free Energy Principle On Mutual Information Maximization for Representation Learning

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:57.933926Z

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 874516cd-5dbe-4c3a-8039-93d4dc6fd36f · inbound

InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate cites this paper.

InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate On Mutual Information Maximization for Representation Learning

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:02:46.905646Z

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.