Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.07042.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:42.832921Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T06:45:29.593897Z
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 52ec0311-d68c-4070-a7be-28a775b61835 · inbound
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training cites this paper.
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:45:42.832921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9241a81d-d55f-41c1-970f-19135ca2d1fe · inbound
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Reference 157
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:14:26.379628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 747e3389-2cf6-4a32-b1c7-6d6219eda5a5 · inbound
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Reference 232
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:45:29.596834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.