Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.04978.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T14:00:21.640627Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:17:37.589931Z
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 511514d3-e7e2-4772-9c22-9784ec921a10 · inbound
Spectral Vision Transformer for Efficient Tokenization with Limited Data cites this paper.
Spectral Vision Transformer for Efficient Tokenization with Limited Data Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:28.110102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d6a14228-110c-4746-ae7c-d67f5f126388 · inbound
FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation cites this paper.
FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:17:37.592413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.