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Paper Citation Record · LEDGER

Zero-Shot Clinical Trial Patient Matching with LLMs

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.05125.

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

pith.paper-citation-record.v1
2402.05125 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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:38:00.904066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:28:21.475698Z

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 8c8d8d45-ceff-452c-81d5-1158ee4a1bdb · inbound

Entry-level guide to the use of large language models for medical research cites this paper.

Entry-level guide to the use of large language models for medical research Zero-Shot Clinical Trial Patient Matching with LLMs

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:28:21.478752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T19:26:48.548573Z digest=sha256:e0b2d9951c870e404fb769893912290ad97bf036c4a2a21ce9f14f53f0077890

Observation a101d7ab-8b53-4b63-be45-43ec741cebda · inbound

Enhancing Clinical Trial Patient Matching through Knowledge Augmentation and Reasoning with Multi-Agent cites this paper.

Enhancing Clinical Trial Patient Matching through Knowledge Augmentation and Reasoning with Multi-Agent Zero-Shot Clinical Trial Patient Matching with LLMs

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:03:12.483035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T17:01:30.638046Z digest=sha256:c09b619bab37e25e0c56d6643b7b6a781e20fdef6e503b91f75d823e0b95eacb

Observation 600edf56-3deb-4330-a51c-e74302c76ed5 · inbound

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation cites this paper.

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation Zero-Shot Clinical Trial Patient Matching with LLMs

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T23:42:00.090691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:42:00.090691Z digest=sha256:67b155300976f4a2afd269d587901e64c49dcf44c4a49a3ca349b4937aafca6c

Observation 5f372246-7ee4-4be9-9662-e44b5f601c6b · inbound

Distilling Large Language Models for Efficient Clinical Information Extraction cites this paper.

Distilling Large Language Models for Efficient Clinical Information Extraction Zero-Shot Clinical Trial Patient Matching with LLMs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T10:38:00.904066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:38:00.904066Z digest=sha256:7066c3ffde9b0cac0f76abc4b80119ee79410a9588a5e1297f571f53449a2875

Observation 7c111e91-80b2-4bad-accc-176359ce3486 · inbound

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation cites this paper.

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation Zero-Shot Clinical Trial Patient Matching with LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T18:36:42.767220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:36:42.767220Z digest=sha256:a4a45bfe9ffbe7b1b610f5cecda711e16785a91ce000a642132a3e7e67a42598

Observation ed8ea64d-8c92-48ae-9fba-e6423028e07a · inbound

Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods cites this paper.

Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods Zero-Shot Clinical Trial Patient Matching with LLMs

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:05:29.206042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T11:04:52.642119Z digest=sha256:5d2cdef3e7457c0619abba463ffbea4a775637d1661f9ae9750b2bcd66bd03fd