Paper Citation Record · LEDGER

Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.07396.

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

pith.paper-citation-record.v1
2304.07396 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:20.425921Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.389993Z

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 07a0ad48-b746-40b5-9e09-fd260156e5c8 · inbound

Generative AI in Medicine cites this paper.

Generative AI in Medicine Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-11T16:00:17.424689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b442b2-e5f1-40b5-bcee-529c98dd7609 · inbound

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care cites this paper.

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:45:21.743692Z

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.

Observation 8959d647-4f7d-4fe9-9c58-4ae1d53025ae · inbound

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration cites this paper.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.425921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e125cf8-808e-4347-89df-128689dd393a · inbound

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs cites this paper.

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T17:05:50.391458Z

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.