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Paper Citation Record · LEDGER

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.13378.

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

pith.paper-citation-record.v1
2206.13378 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:33:44.775678Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d8b02fb5-9323-4d33-b68e-dd8facfadfaf · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T12:40:24.059997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:bf8e68c6e51cc9ff8feb7b63e562740285afdcc8a069104fef791500f42c7077

Observation 75f03cd1-b01c-47e9-8a35-d6450691bcd8 · inbound

Adversarial Dependence Minimization cites this paper.

Adversarial Dependence Minimization Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T05:33:44.775678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:33:44.775678Z digest=sha256:12f4e758df13782d164f355b5e3820a334e8d24ebb832c097c4eaace13613072

Observation 7ac2bc54-0479-4ec7-b2c6-02903bf3c784 · inbound

Perception Encoder: The best visual embeddings are not at the output of the network cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:21:15.739681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T22:21:15.681336Z digest=sha256:78e8e5696a9cd85653e1c06b1badc83ff8fe1073dcf0da65facbdf40884a9791

Observation 6d052a31-2d4c-4f32-afd0-ffdc5d521b69 · inbound

Radial Basis Function Networks as Projection Heads in Self-Supervised Learning cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-06-26T14:59:31.894825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:55:11.061677Z digest=sha256:108f10bda96701d052bbf63bc7fd156128418a74a44285debed14dfbfcc7eb41

Observation 8e785b9a-39b8-4560-b7d4-085dff09138c · inbound

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:37:06.005165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T15:32:42.523362Z digest=sha256:cdfa3b989468faa03f416ef035652f9d8ace00cd75d5d129f09cfa76213420bd