Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.13523.
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 2026-08-05T10:46:06.490159Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:30:59.576568Z
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 56045d27-ec37-4ba5-a6bd-9f2a0988974a · inbound
MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting cites this paper.
MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:46:06.490159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83da55b3-1166-485a-a68e-5d782a383b38 · inbound
Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation cites this paper.
Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T08:39:01.975337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 433df59f-4e51-47d3-9406-14464e8661c0 · inbound
A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing cites this paper.
A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:30:59.579981Z
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.