Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1809.00076.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:01:54.390092Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T15:01:54.466872Z
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 fae178cf-3fa1-4070-bc41-4b9be2ac037f · inbound
A Comprehensive Review of Adversarial Attacks on Machine Learning cites this paper.
A Comprehensive Review of Adversarial Attacks on Machine Learning 3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:01:54.473211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.