Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.13378.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-02T15:32:42.523362Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation d8b02fb5-9323-4d33-b68e-dd8facfadfaf · inbound
Revisiting Feature Prediction for Learning Visual Representations from Video Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Reference 139
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7ac2bc54-0479-4ec7-b2c6-02903bf3c784 · inbound
Perception Encoder: The best visual embeddings are not at the output of the network Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d052a31-2d4c-4f32-afd0-ffdc5d521b69 · inbound
Radial Basis Function Networks as Projection Heads in Self-Supervised Learning Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8e785b9a-39b8-4560-b7d4-085dff09138c · inbound
LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.