Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.13391.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:37:06.453696Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T00:25:53.859973Z
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 0527bce0-ac43-4d95-916b-e6c39b6e8da5 · inbound
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN cites this paper.
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:25:53.863774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 88a1f333-995f-4714-8796-40c56be4d8aa · inbound
Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition cites this paper.
Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:37:06.453696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d22be74-2827-45b6-b70b-bf93e7bd6c92 · inbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition cites this paper.
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:42:51.075466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.