Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.09476.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T17:16:16.222149Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T06:54:03.759924Z
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 90e5ee79-d6e6-4183-87d2-5de955e5a46d · inbound
Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification cites this paper.
Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:54:03.762638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4232deed-888f-430a-9ae2-87e2925bc269 · inbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images cites this paper.
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:16:16.222149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.