Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.18341.
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 2026-08-07T13:18:04.031328Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:12:26.211862Z
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 444a4454-237d-4382-a608-f7411a48bf5a · inbound
Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation cites this paper.
Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:18:04.031328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1b40a4f-718d-4160-a6c6-d4c6c699e653 · inbound
RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze cites this paper.
RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T18:12:26.240412Z
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.