Paper Citation Record · LEDGER

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.20327.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.20327 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:42:02.588945Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.