Paper Citation Record · LEDGER

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.03066.

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

pith.paper-citation-record.v1
2405.03066 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:07.705427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:58:10.947130Z

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 653ef47e-371b-4dd2-9225-be2b3b0049d9 · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:07.705427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2975b656-7471-4252-88d4-89164de1da41 · inbound

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning cites this paper.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:09.003800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb98263-5d1e-4ce6-8caf-2c87f28a04de · inbound

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety cites this paper.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:03.440368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2f2e8f8-9cfa-496f-81b8-7bb181f401dd · inbound

DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction cites this paper.

DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:27.887843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfa6909-3efa-401b-b7f1-d6d8a25c23fe · inbound

FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support cites this paper.

FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T21:52:08.942450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c037622-c297-498e-ae70-56df3b5d9480 · inbound

Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild" cites this paper.

Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild" A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:39.821594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92720d4-1a2d-4a50-b816-196d95a0765e · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:26:25.168786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42293fea-7512-4964-b34b-a8de2e1e485d · inbound

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records cites this paper.

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:22:10.448140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85ed2361-a4ce-4ff3-8924-ba8fcc8a13d5 · inbound

Evaluating the Utility of Personal Health Records in Personalized Health AI cites this paper.

Evaluating the Utility of Personal Health Records in Personalized Health AI A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:58:10.949341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.