Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.03151.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:55:38.572727Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:11:00.395616Z
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 cc1d8b4b-7481-4c7f-a5c1-b0eb637bb87d · inbound
Achieving 3D Attention via Triplet Squeeze and Excitation Block cites this paper.
Achieving 3D Attention via Triplet Squeeze and Excitation Block ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:55:38.572727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44787829-9ab3-4f63-8606-0014aafe7096 · inbound
OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning cites this paper.
OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:11:00.402760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.