Paper Citation Record · LEDGER

GENIE: Generative Note Information Extraction model for structuring EHR data

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2501.18435.

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

pith.paper-citation-record.v1
2501.18435 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:34:19.408667Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:19:07.370921Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T16:19:07.431953Z

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy28
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25572438-24de-4b4d-acb3-4283ab5bd2b8 · outbound

This paper cites A data quality ontology for the secondary use of EHR data.

GENIE: Generative Note Information Extraction model for structuring EHR data A data quality ontology for the secondary use of EHR data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.754031Z

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 b45efba9-e923-42ce-b949-fd66eb59ee38 · outbound

This paper cites Recommendations for the use of operational electronic health record data in comparative effectiveness research.

GENIE: Generative Note Information Extraction model for structuring EHR data Recommendations for the use of operational electronic health record data in comparative effectiveness research

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.742791Z

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 1764b05e-5255-483c-89fe-869aa693a923 · outbound

This paper cites Clinical information extraction applications: a literature review.

GENIE: Generative Note Information Extraction model for structuring EHR data Clinical information extraction applications: a literature review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.732195Z

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 bd33b1ac-28fa-4673-8fd3-a35894877d56 · outbound

This paper cites Impacts of structuring the electronic health record: Results of a systematic literature review from the perspective of secondary use of patient data.

GENIE: Generative Note Information Extraction model for structuring EHR data Impacts of structuring the electronic health record: Results of a systematic literature review from the perspective of secondary use of patient data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.721808Z

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 c5a6f0be-a7c5-4f33-b5fd-224c5e2c4c68 · outbound

This paper cites The evolving use of electronic health records (EHR) for research.

GENIE: Generative Note Information Extraction model for structuring EHR data The evolving use of electronic health records (EHR) for research

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.711496Z

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 7be09eba-cbaf-4580-8d60-cccc1c975ee5 · outbound

This paper cites Efficient string matching: an aid to bibliographic search.

GENIE: Generative Note Information Extraction model for structuring EHR data Efficient string matching: an aid to bibliographic search

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.700769Z

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 a1e92d45-9487-4dc7-a7da-93c70433fb6b · outbound

This paper cites The unified medical language system (UMLS): integrating biomedical terminology.

GENIE: Generative Note Information Extraction model for structuring EHR data The unified medical language system (UMLS): integrating biomedical terminology

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.689693Z

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 602b0694-7d63-4270-b985-e7d962410a33 · outbound

This paper cites BIOS: An Algorithmically Generated Biomedical Knowledge Graph.

GENIE: Generative Note Information Extraction model for structuring EHR data BIOS: An Algorithmically Generated Biomedical Knowledge Graph

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T23:34:19.042457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da41298-14eb-457d-b6bc-7dc8fe01e987 · outbound

This paper cites term: status\n.

GENIE: Generative Note Information Extraction model for structuring EHR data term: status\n

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.776163Z

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 1f810ba0-a6b7-4a42-bf6c-3d46a05f9d16 · outbound

This paper cites Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

GENIE: Generative Note Information Extraction model for structuring EHR data Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.678527Z

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 96d107ec-87cd-4dce-a3a7-1cdcec74b1e9 · outbound

This paper cites SNOMED -CT: The advanced terminology and coding system for eHealth.

GENIE: Generative Note Information Extraction model for structuring EHR data SNOMED -CT: The advanced terminology and coding system for eHealth

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.649353Z

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 01261008-1eab-4131-9964-dbfd45a7dc6e · outbound

This paper cites BERN2: an advanced neural biomedical named entity recognition and normalization tool.

GENIE: Generative Note Information Extraction model for structuring EHR data BERN2: an advanced neural biomedical named entity recognition and normalization tool

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.659513Z

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 bb20cf52-465e-458d-a718-70e6a5e10f3c · outbound

This paper cites RxNorm: prescription for electronic drug information exchange.

GENIE: Generative Note Information Extraction model for structuring EHR data RxNorm: prescription for electronic drug information exchange

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.628196Z

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 01652da5-cdd9-42c0-b7d8-9071767ab776 · outbound

This paper cites ICD -11: an international classification of diseases for the twenty - first century.

GENIE: Generative Note Information Extraction model for structuring EHR data ICD -11: an international classification of diseases for the twenty - first century

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.639083Z

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 45b80794-5a01-4965-a0d0-23e34e0b6d26 · outbound

This paper cites Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

GENIE: Generative Note Information Extraction model for structuring EHR data Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.606087Z

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 1a0e111b-a6ea-4379-9dc7-4f638ba3b634 · outbound

This paper cites Current procedural terminology: CPT.

GENIE: Generative Note Information Extraction model for structuring EHR data Current procedural terminology: CPT

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.617369Z

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 9a5393a7-a84a-463c-81d9-6579ff09a8dd · outbound

This paper cites A simple algorithm for identifying negated findings and diseases in discharge summaries.

GENIE: Generative Note Information Extraction model for structuring EHR data A simple algorithm for identifying negated findings and diseases in discharge summaries

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.669244Z

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 1711fdf8-14ae-4015-b0dc-11ed308bbe0c · outbound

This paper cites CLAMP –a toolkit for efficiently building customized clinical natural language processing pipelines.

GENIE: Generative Note Information Extraction model for structuring EHR data CLAMP –a toolkit for efficiently building customized clinical natural language processing pipelines

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.593430Z

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 c92adee1-ecdd-497c-a6d3-6073388c1ebd · outbound

This paper cites NILE: Fast Natural Language Processing for Electronic Health Records.

GENIE: Generative Note Information Extraction model for structuring EHR data NILE: Fast Natural Language Processing for Electronic Health Records

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-09T23:34:19.448113Z

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 3d3065c1-3e71-41f7-b1f9-6fdf99b19cef · outbound

This paper cites ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports.

GENIE: Generative Note Information Extraction model for structuring EHR data ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.581796Z

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 6f9e52d5-76bd-435c-845c-b10b25d7a303 · outbound

This paper cites Extracting timing and status descriptors for colonoscopy testing from electronic medical records.

GENIE: Generative Note Information Extraction model for structuring EHR data Extracting timing and status descriptors for colonoscopy testing from electronic medical records

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.559869Z

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 b53bef34-c715-43d8-8dd3-dad35949fc73 · outbound

This paper cites 2010 i2b2/V A challenge on concepts, assertions, and relations in clinical text.

GENIE: Generative Note Information Extraction model for structuring EHR data 2010 i2b2/V A challenge on concepts, assertions, and relations in clinical text

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.570362Z

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 dc58c533-8a34-40f6-a98a-4d6f9e3f22de · outbound

This paper cites DeepPhe: a natural language processing system for extracting cancer phenotypes from clinical records.

GENIE: Generative Note Information Extraction model for structuring EHR data DeepPhe: a natural language processing system for extracting cancer phenotypes from clinical records

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.537756Z

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 dfae57dd-82c0-4219-870e-74915fac4bd8 · outbound

This paper cites Chem 140, 3.6, 103, 26, 20, 1.1 and 107.

GENIE: Generative Note Information Extraction model for structuring EHR data Chem 140, 3.6, 103, 26, 20, 1.1 and 107

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.764961Z

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 6b65dc7f-02c7-43db-b632-6bf6db8693ad · outbound

This paper cites Automated information extraction on treatment and prognosis for non – small cell lung Cancer radiotherapy patients: clinical study.

GENIE: Generative Note Information Extraction model for structuring EHR data Automated information extraction on treatment and prognosis for non – small cell lung Cancer radiotherapy patients: clinical study

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.549129Z

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 ad3c59eb-f400-40f1-a784-497c171f8dfe · outbound

This paper cites EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

GENIE: Generative Note Information Extraction model for structuring EHR data EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.524684Z

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 8cada5d5-725c-44d8-a16e-853b30596fa2 · outbound

This paper cites MedEx: a medication information extraction system for clinical narratives.

GENIE: Generative Note Information Extraction model for structuring EHR data MedEx: a medication information extraction system for clinical narratives

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.512648Z

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 ffc45834-20c5-48df-938f-1acbf106c024 · outbound

This paper cites Large language models encode clinical knowledge.

GENIE: Generative Note Information Extraction model for structuring EHR data Large language models encode clinical knowledge

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.499219Z

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 104d57e0-106d-423f-959a-d1097cc0abb4 · outbound

This paper cites PMC -LLaMA: toward building open -source language models for medicine.

GENIE: Generative Note Information Extraction model for structuring EHR data PMC -LLaMA: toward building open -source language models for medicine

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.485871Z

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 d27150bc-8da1-43c1-aaac-fc746566ad51 · outbound

This paper cites MIMIC-III, a freely accessible critical care database.

GENIE: Generative Note Information Extraction model for structuring EHR data MIMIC-III, a freely accessible critical care database

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:34:19.473522Z

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.

Pith citing papers

Observation b4c5db1c-4ae4-4f6a-9f29-14f168c858b4 · inbound

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment cites this paper.

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment GENIE: Generative Note Information Extraction model for structuring EHR data

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:19:07.437063Z

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.