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Paper Citation Record · LEDGER

Visual Prompt Engineering for Vision Language Models in Radiology

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.15802.

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

pith.paper-citation-record.v1
2408.15802 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:10.480611Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.096599Z

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 fcc10b61-34dd-4f50-bd0d-da45c831aed0 · inbound

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models cites this paper.

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models Visual Prompt Engineering for Vision Language Models in Radiology

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T18:42:17.692227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:42:17.692227Z digest=sha256:5ae01248a3bef83021bc341737fe4163bf8dde45e84ff1ba77123b0ab3d27834

Observation b16f3523-4d28-410e-9df5-a39d39058c52 · inbound

Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models cites this paper.

Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models Visual Prompt Engineering for Vision Language Models in Radiology

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:53:10.480611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:10.480611Z digest=sha256:6367e39db30e783033e8d211bc37ebdf88b2f2488039f972d22dac2aaa005c70

Observation fa4693dd-cf30-43ed-958c-a43967d57595 · inbound

The Philosophy and Physics of Duality cites this paper.

The Philosophy and Physics of Duality Visual Prompt Engineering for Vision Language Models in Radiology

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T05:32:07.427430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:32:07.427430Z digest=sha256:d079a15bbd65260b2610cf3f16ee045962187ec32c4057656b6646902928755d

Observation 6b3613d6-7e60-4c93-be0a-39cf4ae84fca · inbound

A 3D SAM-Based Progressive Prompting Framework for Multi-Task Segmentation of Radiotherapy-induced Normal Tissue Injuries in Limited-Data Settings cites this paper.

A 3D SAM-Based Progressive Prompting Framework for Multi-Task Segmentation of Radiotherapy-induced Normal Tissue Injuries in Limited-Data Settings Visual Prompt Engineering for Vision Language Models in Radiology

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:05:29.336069Z

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=2026-05-10T14:03:18.336634Z digest=sha256:a22853f7bf858ddb3e45b6bc1baffa2453b36524190fec4f1d218609e05fcc65

Observation 55db53ba-4df3-40af-bfd8-762590652eb3 · inbound

When Prompts Mislead: Textual Dominance and Diagnostic Bias in MLLMs cites this paper.

When Prompts Mislead: Textual Dominance and Diagnostic Bias in MLLMs Visual Prompt Engineering for Vision Language Models in Radiology

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:45:46.201363Z

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=2026-06-30T22:46:15.479933Z digest=sha256:4556aa38df006afa0f1c17cdfc3fc5ceb8c93520d9579b367fd528e2b707eee5

Observation e89d2b04-6e12-4bd9-9089-dbf601e10c2f · inbound

PROMPT: A Pre-registered Randomized Protocol for Component-Level Evaluation of Clinical AI Prompts cites this paper.

PROMPT: A Pre-registered Randomized Protocol for Component-Level Evaluation of Clinical AI Prompts Visual Prompt Engineering for Vision Language Models in Radiology

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:39:46.098221Z

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=2026-06-26T09:47:07.280454Z digest=sha256:2a846b677e4fb862094b59010f1cfda5c2f44140648018a531587e915c501f77