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Paper Citation Record · LEDGER

Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.01249.

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

pith.paper-citation-record.v1
2405.01249 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:17:12.921234Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:40:53.051774Z

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 953b5f3f-8b73-4e7e-aaf2-1327470bcaf3 · inbound

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation cites this paper.

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T20:17:12.921234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:17:12.921234Z digest=sha256:dfae89e3da4f1da40713859e25306f38ddd5a104483e47d28b066f3e549cf66e

Observation 5daa96e6-79eb-40a8-9dfe-97ed952b6aaa · inbound

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models cites this paper.

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T15:15:54.684063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:15:54.684063Z digest=sha256:dbb74e38da4797eb8009c32f4a528ee2f041d1a4e419cecbb0206a7ef33bee00

Observation e12181d1-5870-41e5-8d72-64dfdbbc8dd4 · inbound

Clinical trial cohort selection using Large Language Models on n2c2 Challenges cites this paper.

Clinical trial cohort selection using Large Language Models on n2c2 Challenges Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:40:53.058158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T18:40:52.950104Z digest=sha256:161c272206e2b19186c819a99514d92a71bb6c351cf8b8b2d1a65a0d3098a2ac