Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.06650.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:53:48.721067Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T21:46:34.606389Z
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 a4982bf7-3e5e-4441-9c2d-203a92baa1af · inbound
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning cites this paper.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:53:48.721067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fe031ce-3201-4569-aff4-3e29e04411f5 · inbound
SHTA: Semantic Hard Token Correction and Center Alignment for Semi-Supervised Medical Image Segmentation cites this paper.
SHTA: Semantic Hard Token Correction and Center Alignment for Semi-Supervised Medical Image Segmentation Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:46:34.607780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.