Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.13156.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:55:55.517576Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T14:19:14.743305Z
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 f0e36d09-3d53-450e-93c2-aa57c93dcfb7 · inbound
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation cites this paper.
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:55:55.517576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a17cbb7-aec3-42a5-8271-f88ba864f4c4 · inbound
iFormer: Integrating ConvNet and Transformer for Mobile Application cites this paper.
iFormer: Integrating ConvNet and Transformer for Mobile Application SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:24:25.817540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c8a073b-f9a4-4492-98b2-221aac2cdce3 · inbound
CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model cites this paper.
CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T14:19:14.749936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.