Paper Citation Record · LEDGER

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.08231.

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

pith.paper-citation-record.v1
2506.08231 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:14.745364Z

measured 29 of 29 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact18
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9983eef-9441-4a9d-a322-253488d40daf · outbound

This paper cites good enough.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework good enough

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.629452Z

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 361fdfd3-affb-49ba-9b10-a321f999a2b0 · outbound

This paper cites Use of Generative AI to Identify Helmet Status Among Patients With Micromobility-Related Injuries From Unstructured Clinical Notes.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Use of Generative AI to Identify Helmet Status Among Patients With Micromobility-Related Injuries From Unstructured Clinical Notes

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:20:15.577173Z

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 be81ccd2-520b-4ba9-b3e5-08fbea1ec1d5 · outbound

This paper cites Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:12.809314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf843fd-3cd6-4859-ac68-7008d12897d0 · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Large Language Models Encode Clinical Knowledge

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:12.990475Z

Source-reported events for the cited work

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Observation a8782495-8ee6-4132-aafb-71e14458dd82 · outbound

This paper cites A Large Language Model for Electronic Health Records.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework A Large Language Model for Electronic Health Records

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:13.063866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becd1319-3196-4bf8-be6d-d77a4a079869 · outbound

This paper cites an unresolved cited work.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:20:15.618018Z

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 8a472009-c1f4-4baf-b6ba-9cfcec131773 · outbound

This paper cites Machine Learning Methods in Health Economics and Outcomes Research—The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Machine Learning Methods in Health Economics and Outcomes Research—The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.216744Z

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 246e98e1-a124-478f-b804-931b6f4a988b · outbound

This paper cites Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.205635Z

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 79b563b8-abcf-4224-82f5-bdba995fad8f · outbound

This paper cites Implementing Accuracy, Completeness, and Traceability for Data Reliability.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Implementing Accuracy, Completeness, and Traceability for Data Reliability

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:20:15.508598Z

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 1967e7c5-32ee-4b13-855b-94687372126c · outbound

This paper cites A Framework for Evaluating Clinical Artificial Intelligence Systems without Ground-Truth Annotations.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework A Framework for Evaluating Clinical Artificial Intelligence Systems without Ground-Truth Annotations

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.195369Z

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 97b21d55-a684-4ca9-ac14-db6c568d9486 · outbound

This paper cites A Reproducible and Transparent Framework for Evaluating Foundation Models (accessed on 21 May 2025).

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework A Reproducible and Transparent Framework for Evaluating Foundation Models (accessed on 21 May 2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.607804Z

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 5bf18e88-aa5f-4df0-af9f-d2f7ad31f4dc · outbound

This paper cites Approach to Machine Learning for Extraction of Real-World Data Variables from Electronic Health Records.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Approach to Machine Learning for Extraction of Real-World Data Variables from Electronic Health Records

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:20:15.427421Z

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 59095713-afb4-43d6-afcd-a541806093ad · outbound

This paper cites Large Language Model Extraction of PD-L1 Biomarker Testing Details From Electronic Health Records.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Large Language Model Extraction of PD-L1 Biomarker Testing Details From Electronic Health Records

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:20:15.345991Z

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 e5408e6a-b7ea-41bd-b0de-16b638ceeed6 · outbound

This paper cites Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.183966Z

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 58c0e047-212b-410a-b262-e78484ed2fcd · outbound

This paper cites A Natural Language Processing Algorithm to Improve Completeness of ECOG Performance Status in Real-World Data.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework A Natural Language Processing Algorithm to Improve Completeness of ECOG Performance Status in Real-World Data

Reference 15

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.173703Z

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 44bc6e16-4aa6-4791-b35d-69c88b9925d7 · outbound

This paper cites Impact of Carboplatin and Cisplatin Shortages on Treatment Patterns in Patients with Metastatic Solid Tumors.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Impact of Carboplatin and Cisplatin Shortages on Treatment Patterns in Patients with Metastatic Solid Tumors

Reference 16

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.163477Z

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 ae4fa896-c6c7-4165-95d4-362714b960f4 · outbound

This paper cites Real-World CtDNA Testing Patterns, Associated Biomarkers and Sites of Metastasis in Early Stage Colorectal Cancer.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Real-World CtDNA Testing Patterns, Associated Biomarkers and Sites of Metastasis in Early Stage Colorectal Cancer

Reference 17

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.153689Z

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 b7bcf019-60f5-4a91-a9c7-25d34b708780 · outbound

This paper cites PPM8 A MACHINE LEARNING MODEL FOR CANCER BIOMARKER IDENTIFICATION IN ELECTRONIC HEALTH RECORDS.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework PPM8 A MACHINE LEARNING MODEL FOR CANCER BIOMARKER IDENTIFICATION IN ELECTRONIC HEALTH RECORDS

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.142862Z

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 ffc6ca74-abd4-48a8-9020-17482edf2ca9 · outbound

This paper cites TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:20:15.132036Z

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 1fea1acd-699a-47de-89af-38c80988c083 · outbound

This paper cites A Hybrid Approach to Scalable Real-World Data Curation by Machine Learning and Human Experts.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework A Hybrid Approach to Scalable Real-World Data Curation by Machine Learning and Human Experts

Reference 20

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.115996Z

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

Observation 0e877f65-6502-467b-a202-5de7ac1c0ca0 · outbound

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Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation a6e1ef1e-087e-4adc-adec-9dfa655096be · outbound

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Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:20:15.597869Z

Source-reported events for the cited work

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Observation 94f90a4a-6f60-4e48-931c-a1e869d07dfc · outbound

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Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:20:15.586505Z

Source-reported events for the cited work

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Observation a7817ab5-9e79-4710-83da-2c6f2902b854 · outbound

This paper cites Concordance of Response-Based Clinical Trial and Machine Learning–Generated Real-World End Points.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Concordance of Response-Based Clinical Trial and Machine Learning–Generated Real-World End Points

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.094075Z

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 e083fea9-3946-4de9-a9ce-9d86bebe28d5 · outbound

This paper cites Real-World (Rw) CtDNA Testing Trends and Associated Outcomes in Patients (Pts) with Early Stage Breast Cancer (EBC).

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Real-World (Rw) CtDNA Testing Trends and Associated Outcomes in Patients (Pts) with Early Stage Breast Cancer (EBC)

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.083451Z

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 14f2e62a-63c9-4bbe-953b-f2f8d9426822 · outbound

This paper cites Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework

Reference 26

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.072511Z

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 110dca48-95fd-47b1-a787-ff8453e51283 · outbound

This paper cites Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T05:20:15.060919Z

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 a350b6d1-7c66-44f5-8179-ed0970c429cb · outbound

This paper cites Misclassification in Administrative Claims Data: Quantifying the Impact on Treatment Effect Estimates.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Misclassification in Administrative Claims Data: Quantifying the Impact on Treatment Effect Estimates

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T05:20:14.947626Z

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 255da10b-e13d-4f30-b3c0-da640aa0b532 · outbound

This paper cites Good Practices for Quantitative Bias Analysis.

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework Good Practices for Quantitative Bias Analysis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:14.745364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.