Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.11542.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:55:09.288561Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:29:45.046708Z
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 61e7e29d-1536-4d17-8174-51e96d90c46f · inbound
Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images cites this paper.
Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:55:09.288561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98385c6f-20d6-4289-9e1e-ebf772922e15 · inbound
Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift cites this paper.
Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:29:45.048088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.