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Paper Citation Record · LEDGER

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.19567.

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

pith.paper-citation-record.v1
2405.19567 v2

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:53:18.195725Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T16:15:49.777675Z

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 dae8e74d-edeb-4299-90d5-3f5645ed24a7 · inbound

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key cites this paper.

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T19:52:08.984941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:52:08.984941Z digest=sha256:279746bc022e6a7d4d5a0e3a0666541d97a822fc3510c00a66c552d96ecf48f6

Observation 8f022ea8-e26c-4161-acd8-5bc4f3e09759 · inbound

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design cites this paper.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T04:53:18.195725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:53:18.195725Z digest=sha256:ddd1a08ad7080a21201514ed482b8b51fe7034fae613fbabfe1af12da47196f3

Observation ae1a2270-ab9a-43e5-b4ad-626d358bdcd3 · inbound

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis cites this paper.

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:09:51.773184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-21T08:06:02.176934Z digest=sha256:801e533bfd14a6e60c20ef806e70528daa6d7f7321bd09701c03ee54f48e381c

Observation 17ddd6ed-3d48-43b7-b326-425b5b77aa56 · inbound

IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations cites this paper.

IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.779015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T00:48:12.921470Z digest=sha256:d0f0607a763635d1a936da67355afc7680b9c9cca843f8957a79d135dbe9aa4a