Paper Citation Record · LEDGER

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.22954.

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

pith.paper-citation-record.v1
2607.22954 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:04:14.507400Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

37 of 37 outbound references displayed

verified exact6
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier4
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3c32ac9-bbf0-44cb-b24e-6d0fa11b1df2 · outbound

This paper cites The artificial intelligence clinician learns optimal treatment strategies for sepsis in inten- sive care.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records The artificial intelligence clinician learns optimal treatment strategies for sepsis in inten- sive care

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-01T04:04:13.236842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c42333-0190-4bdb-93cf-6abf81ea4c86 · outbound

This paper cites Multitask learning and benchmarking with clinical time series data.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Multitask learning and benchmarking with clinical time series data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.247643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f46c7db5-2915-492e-9ff6-0e6cda211e1b · outbound

This paper cites Predicting hospital length of stay using neural networks on mimic iii data.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Predicting hospital length of stay using neural networks on mimic iii data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.281722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29600d52-4206-40ce-9b4f-43699e1053bb · outbound

This paper cites Detection of medication mentions and medication change events in clinical notes using transformer-based models.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Detection of medication mentions and medication change events in clinical notes using transformer-based models

Reference 4

Resolution: verified exact; doi, observed 2026-08-01T04:08:39.816694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0739b984-f5f5-4397-b445-cf477b440867 · outbound

This paper cites Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.357571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ea273c-0d3c-463e-8107-1e3c2bca5bed · outbound

This paper cites Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.389933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cd130f-e24e-4351-9962-fa28771de86e · outbound

This paper cites Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study

Reference 7

Resolution: verified exact; doi, observed 2026-08-01T04:08:39.594028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cf2a009-ca93-4fda-b6cb-0d5051de611e · outbound

This paper cites Improving Diagnosis in Health Care.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Improving Diagnosis in Health Care

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.471665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cccbb19-053c-4f16-8af7-a62f224f4481 · outbound

This paper cites The impact of electronic health records on diagnosis.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records The impact of electronic health records on diagnosis

Reference 9

Resolution: verified exact; doi, observed 2026-08-01T04:08:39.393936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21dc233c-783f-4aa3-8b60-d09e9c9a6bcd · outbound

This paper cites The frequency of diagnostic errors in outpa- tient care: estimations from three large observational studies involving US adult populations.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records The frequency of diagnostic errors in outpa- tient care: estimations from three large observational studies involving US adult populations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.524618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa46cbe-7030-4b32-b7f7-519ebb1f36f4 · outbound

This paper cites Sentinel Event Alert 58.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Sentinel Event Alert 58

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.570066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353a33b1-540a-4ba5-b093-7bb6914ed77e · outbound

This paper cites Georg Thieme Verlag KG.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Georg Thieme Verlag KG

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.605148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16a924b-8c81-4859-9f91-84f777d6e726 · outbound

This paper cites Direct Text Entry in Electronic Progress Notes: An Evaluation of Input Errors.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Direct Text Entry in Electronic Progress Notes: An Evaluation of Input Errors

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-01T04:04:13.643755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fc035a-ff60-43b3-a952-23911dc0513c · outbound

This paper cites Unintended Consequences of Nation- wide Electronic Health Record Adoption: Challenges and Opportunities in the Transition to a Digital Health System.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Unintended Consequences of Nation- wide Electronic Health Record Adoption: Challenges and Opportunities in the Transition to a Digital Health System

Reference 14

Resolution: malformed identifier; doi_truncated, observed 2026-08-01T04:08:39.217327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c0df115-13c7-43df-a8e7-e7b614aeeaee · outbound

This paper cites Unintended medication discrepancies at the time of hospital admission.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Unintended medication discrepancies at the time of hospital admission

Reference 15

Resolution: verified exact; doi, observed 2026-08-01T04:08:39.006388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ead224e2-decb-4b5e-8948-9368a23896eb · outbound

This paper cites Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors

Reference 16

Resolution: verified exact; doi, observed 2026-08-01T04:08:38.784317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cddf52b-b457-4c9f-b7ac-c27fc410b50e · outbound

This paper cites Patient- reported errors in electronic health record ambulatory visit notes.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Patient- reported errors in electronic health record ambulatory visit notes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.789809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3da14e-438a-45a5-b651-7b16132da10e · outbound

This paper cites LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.822723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f6e4266-baf4-45cc-94cd-a1b30e8d26ee · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records BloombergGPT: A Large Language Model for Finance

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.861977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3f1944-ecd9-49f0-8440-1e048b6e964b · outbound

This paper cites Large language models in medicine.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Large language models in medicine

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.898586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a66d90-d9fd-4800-9895-e37a03937d09 · outbound

This paper cites The future landscape of large language models in medicine.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records The future landscape of large language models in medicine

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.936008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf7b981a-2ac2-4248-acc5-f352de602cf9 · outbound

This paper cites Large language models encode clinical knowledge.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Large language models encode clinical knowledge

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:13.972000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68635e5c-7fb1-4cf4-ad47-e3727842a9a3 · outbound

This paper cites Toward expert- level medical question answering with large language models.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Toward expert- level medical question answering with large language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.012667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1e70a5-23a9-43f0-b0a1-cd9757af7f9a · outbound

This paper cites Large Language Models are Few-Shot Clinical Information Extractors.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Large Language Models are Few-Shot Clinical Information Extractors

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.056378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dec30e1-85bf-419c-8e5e-43ef000e208d · outbound

This paper cites A large language model for electronic health records.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records A large language model for electronic health records

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.070453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06d43f7-b161-43f8-8cd7-605e137c515a · outbound

This paper cites Adapted large language models can outperform medical experts in clinical text summarization.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Adapted large language models can outperform medical experts in clinical text summarization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.107421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8aa9ba8-5913-4751-88f8-7ada95211d9c · outbound

This paper cites Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correc- tion.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correc- tion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.138683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c9ea25-5fa4-457a-8fff-e4a678ddd1af · outbound

This paper cites MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.173520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fe5069-206a-4657-b2b7-fbe2d8d5bcc0 · outbound

This paper cites WangLab at MEDIQA-CORR 2024: Retrieval-Augmented and DSPy-Optimized LLM Programs for Medical Error Detection and Correction.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records WangLab at MEDIQA-CORR 2024: Retrieval-Augmented and DSPy-Optimized LLM Programs for Medical Error Detection and Correction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.209444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ac8e99-2a2a-473b-ad9e-e36f0ccee0d8 · outbound

This paper cites PromptMind at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records PromptMind at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.243410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc2076db-5ba0-4757-b208-5313d088c1f1 · outbound

This paper cites Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-01T04:08:38.563297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc51b871-9d11-4134-80f7-8faeadc18089 · outbound

This paper cites Mimic-iv.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Mimic-iv

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.321734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd765ac6-61e6-4311-8e89-fd40cd76a5cc · outbound

This paper cites MIMIC-IV-Note: Deidentified Free-Text Clinical Notes.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records MIMIC-IV-Note: Deidentified Free-Text Clinical Notes

Reference 33

Resolution: malformed identifier; no resolver link, observed 2026-08-01T04:04:14.354384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6787fa42-bc26-4ad5-84d3-8e1d0f39a777 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.391308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd8a451-f4df-4418-a3e7-aada6b852121 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.422197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2716f878-6ada-4126-8535-5b7f71bf573c · outbound

This paper cites Logical Reasoning.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records Logical Reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.464034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb46c991-834c-401b-8cd9-24f226213618 · outbound

This paper cites SemEval-2017 Task 12: Clinical TempEval.

Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records SemEval-2017 Task 12: Clinical TempEval

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:14.507400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.