Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Self-supervised Vision Transformers for Representation Learning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.09785.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:44:15.718289Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T02:10:27.591382Z
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 a20ae6eb-c455-4ef2-bc08-fd1e244be254 · inbound
iBOT: Image BERT Pre-Training with Online Tokenizer cites this paper.
iBOT: Image BERT Pre-Training with Online Tokenizer Efficient Self-supervised Vision Transformers for Representation Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:10:27.595160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0a770448-b49f-4d77-a908-8c8e8a140dea · inbound
Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing cites this paper.
Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing Efficient Self-supervised Vision Transformers for Representation Learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:44:17.127222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7ae4e06-d3ee-4f6c-a930-2450346d26a0 · inbound
Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network cites this paper.
Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Efficient Self-supervised Vision Transformers for Representation Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:44:15.718289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23afbe91-3470-4ed9-9088-096b90a142d9 · inbound
Information theoretic underpinning of self-supervised learning by clustering cites this paper.
Information theoretic underpinning of self-supervised learning by clustering Efficient Self-supervised Vision Transformers for Representation Learning
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T06:22:23.147515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7e36be43-e386-4aeb-b486-5a5db272fb61 · inbound
NAE: Normalizing AutoEncoder cites this paper.
NAE: Normalizing AutoEncoder Efficient Self-supervised Vision Transformers for Representation Learning
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:22:07.624836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.