Paper Citation Record · LEDGER

Leveraging Large Language Model as Simulated Patients for Clinical Education

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.13066.

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

pith.paper-citation-record.v1
2404.13066 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:59:44.750633Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:37:49.456126Z

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 794a81bd-07e6-4358-9d08-41dc04cc6f43 · inbound

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation cites this paper.

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation Leveraging Large Language Model as Simulated Patients for Clinical Education

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T15:59:44.750633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94103eb3-9d21-4424-bcd1-1eb722c9deb1 · inbound

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text cites this paper.

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text Leveraging Large Language Model as Simulated Patients for Clinical Education

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:28.276810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a4ab7ec-58f4-4306-8798-fa2791bab0de · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA Leveraging Large Language Model as Simulated Patients for Clinical Education

Reference 177

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:37:49.457599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8bf51d6-1231-4e40-8088-b93778953455 · inbound

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions cites this paper.

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions Leveraging Large Language Model as Simulated Patients for Clinical Education

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:58.428157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.