Paper Citation Record · LEDGER

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.00491.

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

pith.paper-citation-record.v1
2412.00491 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:25:04.117103Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:14.552203Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:17:15.709854Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f99bf8d-dddb-4558-b2df-e1fa5bc34541 · outbound

This paper cites However, implementing CDEs presents challenges due to the broad range and variety of data elements.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models However, implementing CDEs presents challenges due to the broad range and variety of data elements

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.590976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 665076a1-d6e1-4cfc-b360-306ad935b80e · outbound

This paper cites an unresolved cited work.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:25:04.575164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4622ade4-1478-4393-800b-c5a9735e7f35 · outbound

This paper cites Overview of retrospective data harmonisation in the MINDMAP project: process and results.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Overview of retrospective data harmonisation in the MINDMAP project: process and results

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.560309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3201cc2-95f8-4883-939e-5b4eaf1d48cc · outbound

This paper cites The potential for fetal alcohol spectrum disorder prevention of a harmonized approach to data collection about alcohol use in pregnancy cohort studies.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models The potential for fetal alcohol spectrum disorder prevention of a harmonized approach to data collection about alcohol use in pregnancy cohort studies

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.543570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d105a575-4475-4e4c-a8d8-c554be07304e · outbound

This paper cites Practice patterns and outcomes of transcatheter aortic valve replacement in the United States and Japan: a report from joint data harmonization initiative of STS/ACC TVT and J‐TVT.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Practice patterns and outcomes of transcatheter aortic valve replacement in the United States and Japan: a report from joint data harmonization initiative of STS/ACC TVT and J‐TVT

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.527597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f92df29-0694-4f79-a7c1-f23cc719948d · outbound

This paper cites Improving cancer data interoperability: the promise of the Minimal Common Oncology Data Elements (mCODE) initiative.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Improving cancer data interoperability: the promise of the Minimal Common Oncology Data Elements (mCODE) initiative

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.511952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 278c2180-9572-49d2-ba97-8066ffef4cb0 · outbound

This paper cites Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.495601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f26b41b8-e0cb-4d9f-9e6c-0c3c1e4f47db · outbound

This paper cites an unresolved cited work.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:25:04.479032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13692b07-4f81-4fd8-a1a9-5f4c476c8a8a · outbound

This paper cites Common data elements for disorders of consciousness: recommendations from the electrophysiology working group.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Common data elements for disorders of consciousness: recommendations from the electrophysiology working group

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.462468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f778406-584c-424b-88a8-b7f7f21d5fc3 · outbound

This paper cites Toward common data elements for international research in long-term care homes: Advancing person-centered care.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Toward common data elements for international research in long-term care homes: Advancing person-centered care

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.445157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6cf2ebac-65fc-4a32-b5b4-403d36319d91 · outbound

This paper cites Pre-clinical traumatic brain injury common data elements: toward a common language across laboratories.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Pre-clinical traumatic brain injury common data elements: toward a common language across laboratories

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.428004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e915148-5c1f-4272-b2d2-89e5f1d9d12c · outbound

This paper cites FAIR data sharing: the roles of common data elements and harmonization.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models FAIR data sharing: the roles of common data elements and harmonization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.410725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f4c36ad3-13fe-4a04-8053-a16d295cf585 · outbound

This paper cites The FAIR Guiding Principles for scientific data management and stewardship.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models The FAIR Guiding Principles for scientific data management and stewardship

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.393271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86c25216-1b8a-4c0e-bb2f-3e55f9efe5f5 · outbound

This paper cites Common Data Elements Repository.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Common Data Elements Repository

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.376937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23e6c756-4ff1-4a83-8c86-bb6e301cc5b8 · outbound

This paper cites IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.359815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f0c4156-c37b-45e0-b239-f6ec6344b750 · outbound

This paper cites The GAAIN entity mapper: an active-learning system for medical data mapping.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models The GAAIN entity mapper: an active-learning system for medical data mapping

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.344210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dcf9887-0aa3-490c-88e2-947c88585bb6 · outbound

This paper cites The D2Refine platform for the standardization of clinical research study data dictionaries: usability study.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models The D2Refine platform for the standardization of clinical research study data dictionaries: usability study

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.326002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2548f49-b2b2-4f88-9de6-aef5849f5d3e · outbound

This paper cites Mapping of Alzheimer’s disease related data elements and the NIH Common Data Elements.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Mapping of Alzheimer’s disease related data elements and the NIH Common Data Elements

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.307236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da75b3e3-a1e8-41a4-81df-a308f785c672 · outbound

This paper cites Mapping study variables to Common Data Elements using GPT for Sheets: Towards standardized data collection and sharing.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Mapping study variables to Common Data Elements using GPT for Sheets: Towards standardized data collection and sharing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.287974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2dcaba1f-0cbf-4826-bab2-cc7b632d8bc6 · outbound

This paper cites Fine-tuning Large Language Models for Rare Disease Concept Normalization.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Fine-tuning Large Language Models for Rare Disease Concept Normalization

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-12T05:25:04.230791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d00e9f9-366d-479e-bcca-b45880f3171d · outbound

This paper cites The American Academy of Ophthalmology IRIS Registry (Intelligent Research In Sight): current and future state of big data analytics.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models The American Academy of Ophthalmology IRIS Registry (Intelligent Research In Sight): current and future state of big data analytics

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.265412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de384dae-b8a2-408c-a820-06492d6f2980 · outbound

This paper cites Consensus recommendations for standardized data elements, scales, and time segmentations in studies of human circadian/diurnal biology and stroke.

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models Consensus recommendations for standardized data elements, scales, and time segmentations in studies of human circadian/diurnal biology and stroke

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:25:04.247773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation b74b4fc6-566a-4ccb-9e52-1e0e7064e7af · inbound

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model cites this paper.

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:17:15.773237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.