Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.10380.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:08:09.844310Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T01:10:09.263107Z
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 95f0783d-2ba4-4e07-9b21-9fe99b94d5f0 · inbound
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? cites this paper.
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:08:09.844310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afe35bbb-cd0f-457a-af95-e9d884bfa81c · inbound
uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN cites this paper.
uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T01:10:09.264241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.