Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.00328.
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 2026-08-12T18:22:31.404454Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T04:36:04.891763Z
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 c7581413-bfd1-4039-974d-646d699f137b · inbound
SP${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation cites this paper.
SP${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:22:31.404454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0e135c8-ed51-418a-9943-ea27986d565e · inbound
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation cites this paper.
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T04:36:04.898421Z
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.