Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.05119.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:23.089046Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:25:46.320420Z
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 7e806cdd-2fbb-45e9-99cf-8cef7c826c01 · inbound
On the Out-of-Distribution Generalization of Self-Supervised Learning cites this paper.
On the Out-of-Distribution Generalization of Self-Supervised Learning Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:03:23.089046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dc97d0f-24b1-49a5-bbf7-bc09c38a1790 · inbound
A Generalized Learning Framework for Self-Supervised Contrastive Learning cites this paper.
A Generalized Learning Framework for Self-Supervised Contrastive Learning Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:03:17.933415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c079aa95-2589-4711-90c0-ff4e302b1ac4 · inbound
Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness cites this paper.
Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:25:46.322939Z
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.