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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.008606Z digest=sha256:2f762f7bc610de502bb705227abae815ae0d9c3c3d659fb8d50cbb2bd3f67620

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.014692Z digest=sha256:479ed10aeb92e06f07f5333d6f97b9a5dc078159de7d06e47899f85ce43b2de0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.019759Z digest=sha256:1677bd2365074b33487dfec6602660d609c22bccc00caa73b9a7c9e525dfd723

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.024776Z digest=sha256:8105a2b97374e4b0e9b13b13ea71da73a4303a6320f6fcaf55772e7bada4e1da

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.029867Z digest=sha256:0fec918272e25c38b5437e6cc0b0777804da4b602d8d7eff3bcc973c2eb282e7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.034736Z digest=sha256:78f90da2d1afc6dd9d2fb6494f13ce089614f3c3ecd2d6e26069f3a2ab5363ef

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.041329Z digest=sha256:ed9c466a138a220bd13840024896bc5c7a31521ecb71ac1a9b8964579d5056dd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.046364Z digest=sha256:14c818a8c4fa1811a1ad40d347ecdd85d0f43d7d4b68c97dcc5b2356674fdc49

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.051430Z digest=sha256:408474d303138538088ee4be2850070a83cf0ff174b5686869102eff4cfb5cfa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.056465Z digest=sha256:c9ee22c7611c8686a31bd5d7cf4fb29de4326978eabba2cfe20edf33d75449cb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.061669Z digest=sha256:7771bf7ad20ea120fac0cb7894e3c54e79c2b0bf3ff4155f14c71ef6779935b2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.066841Z digest=sha256:8a5dbeec49469f86a8a39d2205b169b480afa990030a522521b76bde5396372b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.071884Z digest=sha256:cdc47ea5ddbf719460d798467de5a508ccbde7e0edbb1db94914ab7731a57ab1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.076969Z digest=sha256:ad6bfb56ca4f2750de3fa11a37f67c7e8368977134c145383521c8ec8951fd30

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.081921Z digest=sha256:d7378eec4fc6c32dfcfe21fcf7e883cb2d8eed169fb63da5046ba28b427f05db

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.086567Z digest=sha256:68d72a4acf549a854630a95ae496af78c34ef9389b88002c13539fc33c112881

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.091060Z digest=sha256:f0999fe0de5be6685b78d112691ee1d724ced0e15ca505902c9c056ff9e24f1f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.096315Z digest=sha256:41f73361a6d07829d6e47dc6fd521f4e9c9980de3284ff3168b2ae9d43af88b8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.101784Z digest=sha256:0de08694ce5496ef4b880ef98630efde45762b45a93f52b8734a7cc6586a7741

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.106734Z digest=sha256:517132041a126fab610dcffc8f397b0cdefef3fdd40b2775353a692addfe5d12

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.112336Z digest=sha256:db860a9cc15e82a6c38e4bda8638c8821c606b7574e4564d49db11c8b5012826

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T05:25:04.117103Z digest=sha256:6410b0793cd95ae0141bbb5b95a35474cebc5e1e2d8c93ff27263a7d0e7d4883

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:17:14.552203Z digest=sha256:73c5e23abc83ff7178df27e790fd4ad6a2a7ca4f73a8d98250810077d2f06212