Paper Citation Record · LEDGER

Prompt Engineering for Healthcare: Methodologies and Applications

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.14670.

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

pith.paper-citation-record.v1
2304.14670 v2

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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:22:43.864444Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:48:53.237968Z

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 400272ed-23b9-46ba-919b-cf500ee7f217 · inbound

Improving LLM Group Fairness on Tabular Data via In-Context Learning cites this paper.

Improving LLM Group Fairness on Tabular Data via In-Context Learning Prompt Engineering for Healthcare: Methodologies and Applications

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T21:22:43.864444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76c1f5b-5080-408f-91df-628c561a9bdf · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Prompt Engineering for Healthcare: Methodologies and Applications

Reference 201

Resolution: unresolved; no resolver link, observed 2026-08-10T20:05:12.653355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdf4996-88d3-4ec6-b6c0-57263cea18ea · inbound

TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference cites this paper.

TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference Prompt Engineering for Healthcare: Methodologies and Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:15.968117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bbffbae-0a52-4bdb-990f-47b13c7490d6 · inbound

Graph Repairs with Large Language Models: An Empirical Study cites this paper.

Graph Repairs with Large Language Models: An Empirical Study Prompt Engineering for Healthcare: Methodologies and Applications

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:43.999416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c781ccf-4d98-4d06-9347-fc68f8ad6215 · inbound

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques cites this paper.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Prompt Engineering for Healthcare: Methodologies and Applications

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.734141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf1390a-193a-489b-acc7-a722bd7cd2b0 · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents Prompt Engineering for Healthcare: Methodologies and Applications

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T11:48:53.301379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.