Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.20327.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:26:28.740621Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T16:21:06.929750Z
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 c5800137-91d9-42a9-98e2-38c9fa5183e6 · inbound
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images cites this paper.
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:26:28.740621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d98937-3b9b-4a47-92f4-fc1afd4bd9c3 · inbound
Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy cites this paper.
Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:42:02.588945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa21e330-df9f-4e71-b264-c7f77075a15b · inbound
SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning cites this paper.
SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:11:03.218284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae256fb4-5645-4760-9f43-d7980e1e9bbc · inbound
SurgCheck: Do Vision-Language Models Really Look at Images in Surgical VQA? cites this paper.
SurgCheck: Do Vision-Language Models Really Look at Images in Surgical VQA? R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:21:06.933526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 766e5d4a-8314-40d3-a7d9-ab5c20543744 · inbound
Improving Medical VQA through Trajectory-Aware Process Supervision cites this paper.
Improving Medical VQA through Trajectory-Aware Process Supervision R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:06:06.545629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.