Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.15178.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:11.364432Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:01:11.537230Z
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 ca26b1be-5d55-410a-89be-3e05a384d287 · inbound
Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning cites this paper.
Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:01:11.541357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ade1604d-36ea-48fb-a453-be2e78676cda · inbound
DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection cites this paper.
DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T04:28:52.135999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.