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Paper Citation Record · LEDGER

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2506.18378.

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

pith.paper-citation-record.v1
2506.18378 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:40:37.231957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:04:04.549147Z

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 684bc499-dd20-4f97-b109-a8e3d89bad96 · inbound

6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models cites this paper.

6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T18:40:37.231957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:40:37.231957Z digest=sha256:c298beb931be300e439821ede6ebd0647665c76cacc88aeba208baad58389af3

Observation a5e48800-f60e-45f3-9045-70035c70b634 · inbound

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation cites this paper.

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:23:41.062018Z

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.

source=pdf_text observed=2026-05-20T19:18:54.747828Z digest=sha256:054a5c78420d64773f4752d8b15e5685bc9a7ba99fa2ae1468953b784da3f8fe

Observation 0fef9fef-aeee-4871-bc0e-36c54706a139 · inbound

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation cites this paper.

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:58:24.710350Z

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.

source=arxiv_source observed=2026-05-20T14:54:59.212600Z digest=sha256:3020f963ea802bb134b38c2aff76ebb2b81118dd07c1d62a961007b4d74a1412

Observation ddaec0b3-66a5-4dd2-b8f1-3def0a8a11eb · inbound

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation cites this paper.

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:04:04.551098Z

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.

source=arxiv_source observed=2026-05-21T09:01:38.453097Z digest=sha256:66d47ea4405129b20d04336225c41b2ebe86645d4b33de113506dbc0e43d6eb3

Observation b72ae5c2-a160-42ad-91c7-0b38d5a9c4d9 · inbound

Can Multimodal Large Language Models Understand OCT? cites this paper.

Can Multimodal Large Language Models Understand OCT? Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T20:30:26.495092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:30:26.495092Z digest=sha256:3801b9f1c1886183e13e3219abdf28bbe3c3c4ca0352882668e49e1386d32f09