Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1808.01050.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:34:34.622456Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-25T02:46:33.835611Z
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 ad30f0fe-cab5-4d1c-a40f-7bb7784dadb9 · inbound
C^3 Framework: An Open-source PyTorch Code for Crowd Counting cites this paper.
C^3 Framework: An Open-source PyTorch Code for Crowd Counting Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:46:33.837857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 73a3831f-0238-41a9-b297-3e98af484074 · inbound
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting cites this paper.
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:08:38.240940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25f8c198-4a32-4d9c-b3f8-49fec092efe9 · inbound
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network cites this paper.
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:34:34.622456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.