Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.01882.
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 2026-08-10T12:17:32.215047Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T12:17:33.643979Z
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 76eb88b7-f12f-41df-bac8-aaa2b9551e92 · inbound
Efficient Object Detection of Marine Debris using Pruned YOLO Model cites this paper.
Efficient Object Detection of Marine Debris using Pruned YOLO Model A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T12:17:33.651542Z
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 5b7c6dfb-17d1-4300-89fc-93632cbe0875 · inbound
A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras cites this paper.
A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:54:10.952594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.