Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.11086.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:59:02.265926Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T01:02:39.586559Z
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 69c59aa7-3300-43fc-b2f6-848fd60a0d7a · inbound
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation cites this paper.
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:59:02.265926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edec3fad-ddc6-439e-aae0-87219c327960 · inbound
JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation cites this paper.
JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T01:02:39.635385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.