Paper Citation Record · LEDGER

What Do Self-Supervised Vision Transformers Learn?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.00729.

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

pith.paper-citation-record.v1
2305.00729 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:19.301548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:29.165580Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 c4e1a270-117c-4352-a6d8-f674418d3192 · inbound

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling cites this paper.

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling What Do Self-Supervised Vision Transformers Learn?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:19.301548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ef4d47-f9b0-4f19-b51a-22e64076b132 · inbound

Self-Guided Masked Autoencoder cites this paper.

Self-Guided Masked Autoencoder What Do Self-Supervised Vision Transformers Learn?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:55.768397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b39d459-1780-468e-8f95-86b3e6480a83 · inbound

Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models cites this paper.

Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models What Do Self-Supervised Vision Transformers Learn?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T22:22:58.793132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2069efb1-1c01-4349-98c5-a891ba92175e · inbound

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems cites this paper.

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems What Do Self-Supervised Vision Transformers Learn?

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:31:10.824852Z

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 cf2828a1-66e3-4d08-a901-df90ddda564d · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding What Do Self-Supervised Vision Transformers Learn?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:15.488660Z

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 77a0e991-0237-48ca-afef-02cb99a45e70 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding What Do Self-Supervised Vision Transformers Learn?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:16.406737Z

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 067f32a6-dd26-463c-bc9a-3dc03c5a2897 · inbound

The Hidden Evolution of Disguised Visual Context inside the VLM cites this paper.

The Hidden Evolution of Disguised Visual Context inside the VLM What Do Self-Supervised Vision Transformers Learn?

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:29.169229Z

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 299be697-32bd-403b-bfda-b5d5256831b5 · inbound

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention cites this paper.

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention What Do Self-Supervised Vision Transformers Learn?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:38:33.120461Z

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.