Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.11986.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:41:18.953335Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T05:09:38.779237Z
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 218f96ad-106e-4865-a80e-b36e26a2955c · inbound
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows cites this paper.
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:27:56.864167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 47d3589c-2079-428c-a30d-e7b82a390d01 · inbound
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection cites this paper.
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:41:18.953335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a693005f-2040-484f-9e6b-e44f16f35afe · inbound
Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations cites this paper.
Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:09:38.781237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.