Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1407.5736.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T18:22:02.391250Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-24T18:24:48.256982Z
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 6392051b-ee18-42db-b956-e0a2267e9cbd · inbound
RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques cites this paper.
RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T18:24:48.260020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.