Paper Citation Record · LEDGER

Variance-Covariance Regularization Improves Representation Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:59:53.717788Z

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 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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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.

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.