Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.12833.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T20:12:54.142406Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:59:40.269543Z
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 50e4c603-bc22-4515-a8e1-30e63fa11e02 · inbound
BUSTR: Descriptor-Aware Vision-Language Learning for Breast Ultrasound Report Generation cites this paper.
BUSTR: Descriptor-Aware Vision-Language Learning for Breast Ultrasound Report Generation A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:12:54.142406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 487d5d92-26db-4cde-bb8f-859f01af9a91 · inbound
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging cites this paper.
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.799011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 49f30445-ad5d-4d9b-b6d5-36d69fa86235 · inbound
GTA-Net: Cooperative Game Theory for Vision-Language Alignment in Chest X-Ray Report Generation cites this paper.
GTA-Net: Cooperative Game Theory for Vision-Language Alignment in Chest X-Ray Report Generation A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T07:59:40.270769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.