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Paper Citation Record · LEDGER

Variance-Covariance Regularization Improves Representation Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.13292.

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

pith.paper-citation-record.v1
2306.13292 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:33:35.020514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:17:48.422337Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 511f9f14-6c56-43fe-9fb1-0790c3881300 · inbound

Video Representation Learning with Joint-Embedding Predictive Architectures cites this paper.

Video Representation Learning with Joint-Embedding Predictive Architectures Variance-Covariance Regularization Improves Representation Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:33:35.020514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:33:35.020514Z digest=sha256:661c5025540022290845bd90e70b806dbff90cc13b657574fc04fddaa93fa290

Observation 597af42e-1911-4e36-82ed-2177059a12ae · inbound

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems cites this paper.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Variance-Covariance Regularization Improves Representation Learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T14:59:53.717788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:59:53.717788Z digest=sha256:48aaddf2649ba60863aaf4ce43f0bb52884a6300ed126a263f2aa61dcda70d1d

Observation 6e967c30-a53a-4d0c-8758-a6061a5cacad · inbound

MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization cites this paper.

MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization Variance-Covariance Regularization Improves Representation Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:04.482663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T14:53:57.003351Z digest=sha256:77acc02be11954b31340091721b43819cce688f878bfac46773ecba45978d343

Observation d6eb44f3-50f0-4013-af11-2bc02c50d79c · inbound

RePAIR: Predictive Self-Supervised Representation Learning in Chess cites this paper.

RePAIR: Predictive Self-Supervised Representation Learning in Chess Variance-Covariance Regularization Improves Representation Learning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:17:48.423733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T10:28:06.087771Z digest=sha256:24666874ac9845cc601c2659471f447f8b85593ba402fed6963b062596a279ec

Observation 8a428ec8-1cc0-4fc3-8f65-79261938f527 · inbound

Music-JEPA: Learning a World Model of Sound from Action cites this paper.

Music-JEPA: Learning a World Model of Sound from Action Variance-Covariance Regularization Improves Representation Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T06:12:44.487815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:12:44.487815Z digest=sha256:f955e9c06a58736173ee1b5d2f731d849dde92fd2c11bcd1b077f0e6a944a959

Observation ea6ddf7b-cf18-4572-b4dc-7a4905e03cbb · inbound

Music-JEPA: Learning a World Model of Sound from Action cites this paper.

Music-JEPA: Learning a World Model of Sound from Action Variance-Covariance Regularization Improves Representation Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T06:12:44.623623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:12:44.623623Z digest=sha256:3afbc1499db7b6faf04145c7ea7793e1060b3216a7cfa7ae7c8a44871d393a09