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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:20:31.649036Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T03:43:45.135458Z digest=sha256:dd560966b85fe3bc642d5bfe0f695b9b27a5d5b235ec86d19e14b3ad41a658fa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T04:20:31.649036Z digest=sha256:9a6967cef502d7b9e0620901d8ca1fcb495dcb0de7b031504eb002a6f30b216c