Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks
As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2001.10504.
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 2026-07-22T06:31:00.163083+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T21:42:26.287739Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T21:42:48.133724Z
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 f587949d-2959-4f97-8891-edddeb895382 · inbound
A Holistic Method for Superquadric Fitting Using Unsupervised Clustering Analysis cites this paper.
A Holistic Method for Superquadric Fitting Using Unsupervised Clustering Analysis Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T21:42:48.135612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.