Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00048.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:23.141304Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:32:15.180792Z
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 78400918-19fa-42f6-94c0-ac1224a52454 · inbound
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions cites this paper.
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:59:23.141304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e26f2c5-05d9-4fbd-8c45-5ec4b96d8519 · inbound
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis cites this paper.
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:32:15.268343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.