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Paper Citation Record · LEDGER

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 2 inbound Pith citation observations for arXiv:2507.08036.

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

pith.paper-citation-record.v1
2507.08036 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:00:18.789940Z

measured 8 of 8 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T09:01:38.453097Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:04:04.544121Z

Reference resolution

6 of 6 outbound references displayed

  • verified exact4
  • verified fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a90c919c-083a-4048-99c4-8609aa61304d · outbound

This paper cites Is there a fracture in this image?.

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights Is there a fracture in this image?

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:00:19.191926Z

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=2026-08-06T19:00:18.789940Z digest=sha256:194be85d56e206c276e119596e52dde7bbb298779d910f9062d21576fb4ec06b

Observation 434c0ac3-4e0d-4be9-a212-c03fdb011026 · outbound

This paper cites Multiple Meta-model Quantifying for Medical Visual Question Answering.

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights Multiple Meta-model Quantifying for Medical Visual Question Answering

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:00:19.152648Z

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=2026-08-06T19:00:18.728226Z digest=sha256:93e11aed7099992114a832833ba48150ec4572b3f5552be796ca94c7ddec124b

Observation 90c06517-fe38-4af5-b185-4626485ad37e · outbound

This paper cites JUST at ImageCLEF 2019 Visual Question Answering in the Medical Domain.

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights JUST at ImageCLEF 2019 Visual Question Answering in the Medical Domain

Reference 26

Resolution
verified exact
doi, observed 2026-08-06T19:00:19.221309Z

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=2026-08-06T19:00:18.735859Z digest=sha256:c0bfef2e32af9ad1e5d80faca4991dbbaeacca3397801d87bece4874bb1aaa51

Observation ce062701-5f6d-41a5-bdd3-ef54e8ca7713 · outbound

This paper cites NLM at VQA-Med 2020: Visual Question Answering and Generation in the Medical Domain.

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights NLM at VQA-Med 2020: Visual Question Answering and Generation in the Medical Domain

Reference 43

Resolution
verified exact
raw_fallback, observed 2026-08-06T19:00:19.115795Z

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=2026-08-06T19:00:18.748102Z digest=sha256:a80edca0bdd70f26f6c5340c65c4f04f40712512ef2f54641d327e383dd1aa49

Observation f6647306-465e-4bf3-b121-d451b017d639 · outbound

This paper cites PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents.

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T19:00:18.756500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:00:18.756500Z digest=sha256:a21cf393ba1746824d2d0cd35ff073a86aecf72affc779510d1f789c315db5b5

Observation 98a8d8f1-5f5a-4694-83e7-59d6a227ae9e · outbound

This paper cites Why was this diagnosis suggested?.

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights Why was this diagnosis suggested?

Reference 70

Resolution
verified exact
raw_fallback, observed 2026-08-06T19:00:18.974325Z

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=2026-08-06T19:00:18.768288Z digest=sha256:7be2aef08d432f736de04949dc01e1dafbf9ba1dd52c8ffe51fe6d6444809b91

Pith citing papers

Observation ce7ac532-1064-4a0b-b96a-1d19d1b561fa · 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 Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:58:24.704607Z

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=sha256:3832d52fc2b22517449b37aab06659655fbfd5b633f8f9baba587dcb694ffbf0

Observation c2dad55e-1880-4e93-bb2f-f9167b72f814 · 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 Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:04:04.547514Z

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:bcf2c4d59dc6ee84be9efdf238cf040792946607462e4f74e0d4e96ede01f874