Paper Citation Record · LEDGER

VISReg: Variance-Invariance-Sketching Regularization for JEPA training

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2606.02572.

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

pith.paper-citation-record.v1
2606.02572 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:17:59.919440Z

measured 18 of 18 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:21:13.104589Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact6
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae447b37-d6b2-4217-b2bc-826ab092ee54 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:36:17.059211Z

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 f7f753b0-bbfa-46a1-bcac-6625c7e560ab · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Improved Baselines with Momentum Contrastive Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:36:17.065915Z

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 796a45f2-7717-4748-b294-961a88f42bfe · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for lan- guage understanding.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Bert: Pre-training of deep bidirectional transformers for lan- guage understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5b7182-0dc6-4bdf-b859-a396f0c094bf · outbound

This paper cites Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:36:17.075072Z

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 a5782d23-903f-45e9-b3b1-7a22dd239107 · outbound

This paper cites an unresolved cited work.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d47bd86f-b591-4504-81ef-83178fa942db · outbound

This paper cites an unresolved cited work.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9cc8f31-b86d-475a-8443-69e2cfa3c3f5 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Fine-Grained Visual Classification of Aircraft

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:36:17.069287Z

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 aa4c9160-869c-476a-aa14-8fce30c641aa · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training ImageNet-21K Pretraining for the Masses

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.080856Z

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 a2d47978-9784-418d-8976-a36e7d9842f0 · outbound

This paper cites DINOv3.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training DINOv3

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:36:17.071973Z

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 767a2e5d-fca9-4148-b2ab-14e335ec4046 · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training What matters for representation alignment: Global information or spatial structure?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.078001Z

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 77b8e864-1d92-406a-9a34-7840181b9b00 · outbound

This paper cites Kerjepa: Kernel discrepancies for euclidean self-supervised learning.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Kerjepa: Kernel discrepancies for euclidean self-supervised learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.062920Z

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 78f208db-d1d2-497b-ae05-fc85b6c19e80 · outbound

This paper cites Both models are trained from scratch using the VISReg regularization objective and timm for backbones.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Both models are trained from scratch using the VISReg regularization objective and timm for backbones

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31f21ed-e825-4a48-98a6-dfce8af427da · outbound

This paper cites The multi-crop strategy uses Ng=2 global crops and Nl=8 local crops (98×98), still yielding 10 views per image.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training The multi-crop strategy uses Ng=2 global crops and Nl=8 local crops (98×98), still yielding 10 views per image

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15d6bdd2-7b6b-4be8-b386-555d7165f649 · outbound

This paper cites an unresolved cited work.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3217c195-b4cc-43f6-b2d8-ee427023649b · outbound

This paper cites The shape component is the most impactful of the three DSSO objectives.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training The shape component is the most impactful of the three DSSO objectives

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da3705c-2b7e-4cb8-9e30-4b6d332b044d · outbound

This paper cites 15 VISReg : a scaling friendly method with a better generalizability.

VISReg: Variance-Invariance-Sketching Regularization for JEPA training 15 VISReg : a scaling friendly method with a better generalizability

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:59.919440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1d1ae10a-0d8b-4312-849b-8fec1e5099e2 · inbound

A Framework for Early Sepsis Prediction via Self-Supervised (JEPA) and Federated Representation Learning cites this paper.

A Framework for Early Sepsis Prediction via Self-Supervised (JEPA) and Federated Representation Learning VISReg: Variance-Invariance-Sketching Regularization for JEPA training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:13.104589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a344c8ac-eb3e-49c9-b92f-3c408a8332dd · inbound

QQWorld: Quantile-Quantile Matching for World Model Regularization cites this paper.

QQWorld: Quantile-Quantile Matching for World Model Regularization VISReg: Variance-Invariance-Sketching Regularization for JEPA training

Reference 1968

Resolution: unresolved; no resolver link, observed 2026-07-31T08:06:19.879794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.