Paper Citation Record · LEDGER

Understanding self-supervised Learning Dynamics without Contrastive Pairs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2102.06810.

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

pith.paper-citation-record.v1
2102.06810 v4

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:37:45.763788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:16:14.332082Z

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 ac883230-c1b1-4e41-8a0c-be1b90f8a6c1 · inbound

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning cites this paper.

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Understanding self-supervised Learning Dynamics without Contrastive Pairs

Reference 121

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:29:28.879959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0ab17cc-ed45-49b7-a9c1-8c518def2f07 · inbound

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication cites this paper.

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication Understanding self-supervised Learning Dynamics without Contrastive Pairs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:13:21.924108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 452ae844-b176-47ae-baf7-4cc708f896b6 · inbound

Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs cites this paper.

Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs Understanding self-supervised Learning Dynamics without Contrastive Pairs

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T23:37:45.763788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48700a53-60b9-4f2a-b5fc-c899031debf4 · inbound

Representation Without Reward: A JEPA Audit for LLM Fine-Tuning cites this paper.

Representation Without Reward: A JEPA Audit for LLM Fine-Tuning Understanding self-supervised Learning Dynamics without Contrastive Pairs

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:32:39.671004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5545670a-8454-47a2-b66f-a274521a3a3d · inbound

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures cites this paper.

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures Understanding self-supervised Learning Dynamics without Contrastive Pairs

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:16:14.333808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99a6e6b6-09ee-4aa3-bb0a-308daa6455b5 · inbound

Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data cites this paper.

Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data Understanding self-supervised Learning Dynamics without Contrastive Pairs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T05:26:06.743589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.