Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.11929.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:15:18.014679Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T05:27:54.393891Z
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 17f037b0-343f-46e4-88ed-28707aa4b40d · inbound
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images cites this paper.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.014679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c2cb2c2-ac51-44d2-a5e5-217ef7d574f6 · inbound
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry cites this paper.
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:28:03.293480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fb78f7d-9db2-4d86-9276-1415d3e08ce2 · inbound
An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures cites this paper.
An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T05:27:54.398553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.