Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
R-FCN: Object Detection via Region-based Fully Convolutional Networks
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1605.06409.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T23:21:43.055970Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T00:28:45.716913Z
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 76b88e54-a647-4971-a863-5665e15810dc · inbound
Rethinking Atrous Convolution for Semantic Image Segmentation cites this paper.
Rethinking Atrous Convolution for Semantic Image Segmentation R-FCN: Object Detection via Region-based Fully Convolutional Networks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.721530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 26bdf4cf-55d7-4124-b08b-581d8339d7b5 · inbound
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras cites this paper.
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras R-FCN: Object Detection via Region-based Fully Convolutional Networks
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:21:36.310475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f7e8c27-0669-4d86-988a-ab5fdea675e2 · inbound
Set Visualizations for Comparing and Evaluating Machine Learning Models cites this paper.
Set Visualizations for Comparing and Evaluating Machine Learning Models R-FCN: Object Detection via Region-based Fully Convolutional Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T23:21:43.055970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.