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Paper Citation Record · LEDGER

BYOL works even without batch statistics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2010.10241.

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

pith.paper-citation-record.v1
2010.10241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:11.671755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:08.304988Z

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 26150a24-ac88-4cfa-b807-4143defd5a9d · inbound

Emerging Properties in Self-Supervised Vision Transformers cites this paper.

Emerging Properties in Self-Supervised Vision Transformers BYOL works even without batch statistics

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:04:51.602209Z

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.

source=pdf_text observed=2026-05-16T14:04:51.458382Z digest=sha256:7f479fa76063076fc14bfb4e7842a8a3ae76f69de4375bffb66b61f59272647c

Observation 330d3a76-f673-4a60-8947-1e82e2bb4bc4 · inbound

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

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning BYOL works even without batch statistics

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:29:28.888352Z

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.

source=arxiv_source observed=2026-05-15T15:29:28.776822Z digest=sha256:93f64c94787f5b5424dae7bd0c3b0cda86d4758023415b31c2a647d02f4619f1

Observation 851415e0-3aff-430f-a62c-4453b4e319ed · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers BYOL works even without batch statistics

Reference 136

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T09:41:38.228279Z

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.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:0c7f923a366237b5b2d003a618fbf1ce97c2065d6d2da9acb8fbece8e7a48655

Observation 7fa8c2e7-fee1-4dd1-8e19-0d2851ed4681 · inbound

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning cites this paper.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning BYOL works even without batch statistics

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:22:11.671755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:11.671755Z digest=sha256:a0b68abd1a6447db4164bff69dbf328677377f51aa32ab516439ac83795b6f0e

Observation 631a5fd7-ce4a-4e72-8875-f4be03b25d27 · inbound

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining cites this paper.

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining BYOL works even without batch statistics

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T14:56:48.011793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:56:48.011793Z digest=sha256:d883b49f166623d05b772f2b304b6f6c0f6ef19d6d1c65f9cd03b5be7da57fc8

Observation 23d7a8df-edd9-4c8f-9722-bbbe4ace6a3b · inbound

IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning cites this paper.

IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning BYOL works even without batch statistics

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T18:12:53.385797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:12:53.385797Z digest=sha256:f5997134c6d1f433d1fcfbf4fb3ad3663a5e68f9b98f17918fda8c4f1a095b81

Observation 5d50edd9-16b9-42bc-be67-23c3b51cdec8 · inbound

Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes cites this paper.

Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes BYOL works even without batch statistics

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:58:58.634733Z

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.

source=pdf_text observed=2026-05-20T19:58:06.851171Z digest=sha256:4e9a636772985d289fe8777077245294bcea6c73de6121c255633f46ea8cee56

Observation a2a2ee49-629e-4253-86ae-c4a3c2019bd6 · inbound

The Geometry of Projection Heads: Conditioning, Invariance, and Collapse cites this paper.

The Geometry of Projection Heads: Conditioning, Invariance, and Collapse BYOL works even without batch statistics

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:18:21.479357Z

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.

source=arxiv_source observed=2026-05-20T14:13:43.554051Z digest=sha256:4cc206ad56c2a0776ce2cfe0899974dcf980c9e8d335ce6aaf1c1af0314f5fae

Observation ffa0cd58-3238-43cb-834d-f99db0d33cf8 · inbound

Group-Equivariant Poincar\'e Convolutional Networks cites this paper.

Group-Equivariant Poincar\'e Convolutional Networks BYOL works even without batch statistics

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:08.306783Z

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.

source=pdf_text observed=2026-07-02T16:01:53.876557Z digest=sha256:4d15dc5f9e5f07c1c6a0fe04f627495b967e02985151dea3072d7d4a07ad1277