Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.04388.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:26:33.422369Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:19:47.848254Z
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 db1415c1-653f-4286-8bbc-92afaadb206e · inbound
From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection cites this paper.
From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:19:47.849563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation aa10ea11-f6e9-4607-b8ec-5923b39e18ca · inbound
Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing cites this paper.
Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T11:26:33.422369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.