Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.08967.
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 2026-08-08T05:35:36.400568Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:55:43.032493Z
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 570cbbd1-072d-4908-ad9d-12749c886827 · inbound
Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact cites this paper.
Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:35:36.400568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae9faecd-c764-4750-9ced-9c2509d280b7 · inbound
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology cites this paper.
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:16:21.438545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 495defc2-7de4-4268-b6b0-fb972fd55273 · inbound
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning cites this paper.
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:55:43.039262Z
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.