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Paper Citation Record · LEDGER

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.08679.

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

pith.paper-citation-record.v1
2509.08679 v1

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measured 34 of 34 reference resolution

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34 of 34 outbound references displayed

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Outbound references

Observation c72f7af9-c8a2-4a92-a548-becb05e5d386 · outbound

This paper cites Early-onset Alzheimer disease.Neurol Clin.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Early-onset Alzheimer disease.Neurol Clin

Reference 1

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Observation 3300d0ed-3bb8-431d-8ac1-9639d36932e2 · outbound

This paper cites The diagnosis of young-onset dementia.Lancet Neurol.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data The diagnosis of young-onset dementia.Lancet Neurol

Reference 2

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Observation 97dbfb7a-0dac-4825-95cc-35691ea76384 · outbound

This paper cites 2023 Alzheimer’s disease facts and figures.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data 2023 Alzheimer’s disease facts and figures

Reference 3

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Observation bbad7040-06b8-4fb9-81f1-8b9c44064803 · outbound

This paper cites The global prevalence of dementia: a systematic review and metaanalysis.Alzheimers Dement.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data The global prevalence of dementia: a systematic review and metaanalysis.Alzheimers Dement

Reference 4

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Observation 6f160cca-89d7-4a8e-9cd6-6298695fdeef · outbound

This paper cites Inequalities in dementia incidence between six racial and ethnic groups over 14 years.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Inequalities in dementia incidence between six racial and ethnic groups over 14 years

Reference 5

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Observation 25d11f42-75e2-4b24-8a82-5ae3f26b5926 · outbound

This paper cites Analysis of dementia in the US population using Medicare claims: insights from linked survey and administrative claims data.Alzheimers Dement (N Y).

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Analysis of dementia in the US population using Medicare claims: insights from linked survey and administrative claims data.Alzheimers Dement (N Y)

Reference 6

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Observation c503a86d-7b61-45b6-b0a6-84d4199c7f9d · outbound

This paper cites Effect of socioeconomic disparities on incidence of dementia among biracial older adults: prospective study.BMJ.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Effect of socioeconomic disparities on incidence of dementia among biracial older adults: prospective study.BMJ

Reference 7

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Observation 29a692b3-5907-4bb3-a55f-c8c892e07fa4 · outbound

This paper cites A meta-analysis of Alzheimer’s disease incidence and prevalence comparing African Americans and Caucasians.J Alzheimers Dis.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data A meta-analysis of Alzheimer’s disease incidence and prevalence comparing African Americans and Caucasians.J Alzheimers Dis

Reference 8

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Observation 49482619-c1c5-4ad4-a5f1-0ef0b092fe8a · outbound

This paper cites Association of incident dementia with hospitalizations.JAMA.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Association of incident dementia with hospitalizations.JAMA

Reference 9

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Observation e96c0397-6d27-4d3e-aca3-7127f5d48f43 · outbound

This paper cites Australian pop- ulation trends and disparities in diabetes-related hospitalizations.Diabetes Care.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Australian pop- ulation trends and disparities in diabetes-related hospitalizations.Diabetes Care

Reference 10

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Observation f03bca38-45da-42f7-a3cf-8a9d829f98df · outbound

This paper cites Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data

Reference 11

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Observation 44be755b-bfe0-4f64-8d21-7400006a2bee · outbound

This paper cites Rethinking domain adaptation for ma- chine learning over clinical language.JAMIA Open.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Rethinking domain adaptation for ma- chine learning over clinical language.JAMIA Open

Reference 12

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Observation 549d0c46-3568-4d3b-9470-a089905b4a90 · outbound

This paper cites Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

Reference 13

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Observation 88457645-d1f2-4bea-81d7-ea663a1923a9 · outbound

This paper cites Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

Reference 14

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Observation 308f0322-e52f-4e44-b4a2-3d44cf89f0eb · outbound

This paper cites EHR foundation models improve robustness in the presence of temporal distribution shift.Sci Rep.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data EHR foundation models improve robustness in the presence of temporal distribution shift.Sci Rep

Reference 15

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Observation bced2447-130b-441d-9f3d-d8db13ae35d8 · outbound

This paper cites Scal- able and accurate deep learning with electronic health records.npj Digital Medicine.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Scal- able and accurate deep learning with electronic health records.npj Digital Medicine

Reference 16

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Observation 52ebe2ff-7559-4c86-a9b7-d6465018befd · outbound

This paper cites Calibration drift in regression and machine learning models for acute kidney injury.J Am Med Inform Assoc.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Calibration drift in regression and machine learning models for acute kidney injury.J Am Med Inform Assoc

Reference 17

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Observation 84f22a55-ddab-4ac2-8d15-11a3120d9842 · outbound

This paper cites Machine learning approaches for electronic health records phenotyping: a methodical review.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Machine learning approaches for electronic health records phenotyping: a methodical review

Reference 18

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Observation 039e14e4-8ff2-4c04-aa0b-43fe948029ad · outbound

This paper cites Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.IEEE J Biomed Health Inform.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.IEEE J Biomed Health Inform

Reference 19

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Observation 2e6e11a1-34ab-400c-a32d-b6218a9e168b · outbound

This paper cites Electronic health records-driven pheno- typing: challenges, recent advances, and perspectives.J Am Med Inform Assoc.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Electronic health records-driven pheno- typing: challenges, recent advances, and perspectives.J Am Med Inform Assoc

Reference 20

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Observation 01816c03-109d-4ccc-9607-d9dbebf393fe · outbound

This paper cites Federated Learning for Healthcare Informatics.Int J Healthc Inf Syst Inform.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Federated Learning for Healthcare Informatics.Int J Healthc Inf Syst Inform

Reference 21

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Observation 2d5794bb-9d7b-4347-b203-ba81cdfe952e · outbound

This paper cites The future of digital health with federated learning.NPJ Digit Med.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data The future of digital health with federated learning.NPJ Digit Med

Reference 22

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Observation 36e9d1cf-00f8-44fc-8fd2-b80a6258ec9f · outbound

This paper cites Effect of socioeconomic disparities on incidence of dementia among biracial older adults: prospective study.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Effect of socioeconomic disparities on incidence of dementia among biracial older adults: prospective study

Reference 23

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Observation 9d76087b-fc23-4887-8eea-cc08d123adf1 · outbound

This paper cites Conformal prediction under covariate shift.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Conformal prediction under covariate shift

Reference 27

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Observation 1388320b-0629-4a7d-83fb-8cbae988a80d · outbound

This paper cites Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure.Neural Computation, 14(1):21–41, 2002.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure.Neural Computation, 14(1):21–41, 2002

Reference 28

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Observation 2f5f97a5-a4be-448d-993e-adcfc1bd33b7 · outbound

This paper cites Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly

Reference 29

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Observation 6942078a-4408-4330-b48c-0281d7071c92 · outbound

This paper cites Evidential deep learning to quantify classification uncertainty.Advances in Neural Information Processing Sys- tems, 31:3179–3189, 2018.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Evidential deep learning to quantify classification uncertainty.Advances in Neural Information Processing Sys- tems, 31:3179–3189, 2018

Reference 30

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This paper cites Define the Signal Fidelity Index (SFI) for each patient asSF Ii, and let ¯SF IS denote the average SFI in the training data.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Define the Signal Fidelity Index (SFI) for each patient asSF Ii, and let ¯SF IS denote the average SFI in the training data

Reference 32

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Observation 0f9e857a-b17f-43e5-a55d-3a099c50a288 · outbound

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Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Unresolved cited work

Reference 33

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Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Unresolved cited work

Reference 34

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Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Unresolved cited work

Reference 35

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Reference 36

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Observation 0830087a-9e29-46f6-9856-0c0b0125dcfa · outbound

This paper cites The optimal alpha for each metric was defined as: αopt,m = min{αi :p(∆ m(αi))<0.05 andp(∆ m(αi+1))≥0.05}, subject to the constraintα opt,m ≤2.0 to prevent over-calibration.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data The optimal alpha for each metric was defined as: αopt,m = min{αi :p(∆ m(αi))<0.05 andp(∆ m(αi+1))≥0.05}, subject to the constraintα opt,m ≤2.0 to prevent over-calibration

Reference 37

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Observation 95bb6ade-e94d-405b-a4e2-9d874fd9ca68 · outbound

This paper cites Thermal Alteration and Differential Sublimation Can Create Phaethons "Rock Comet" Activity and Blue Color.

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data Thermal Alteration and Differential Sublimation Can Create Phaethons "Rock Comet" Activity and Blue Color

Reference 2022

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