Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:39:05.328400Z
Paper Citation Record · LEDGER
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline
As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2608.03877.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
68 of 68 outbound references displayed
- verified exact12
- verified fuzzy39
- unresolved14
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a8a896f3-7f38-451b-a43e-ef6211c47a0f · outbound
This paper cites Alzheimer’s disease: epidemiology and clinical progression.Neurology and therapy, 11(2): 553–569, 2022.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Alzheimer’s disease: epidemiology and clinical progression.Neurology and therapy, 11(2): 553–569, 2022
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a5c9d6c3-d554-4fc1-ab92-96387ade2af3 · outbound
This paper cites The challenging concept of preclinical alzheimer’s disease.Revue Neurologique, 181(9):881–892, 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline The challenging concept of preclinical alzheimer’s disease.Revue Neurologique, 181(9):881–892, 2025
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29746678-2b7b-4106-943d-9669e6f97d77 · outbound
This paper cites Alzheimer’s disease–why we need early diagnosis.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Alzheimer’s disease–why we need early diagnosis
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.513861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f31ba102-38ce-4ae4-9c32-51ee12dd081f · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b1bb928f-e959-436f-ac14-e03d9e88ecee · outbound
This paper cites The best treatment is prevention: preven- tion of cognitive decline and dementia–current state, gaps and next steps–.Neurological Research and Practice, 8(1):30, 2026.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline The best treatment is prevention: preven- tion of cognitive decline and dementia–current state, gaps and next steps–.Neurological Research and Practice, 8(1):30, 2026
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a91b0356-5039-496e-96c1-2172763f505d · outbound
This paper cites Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
Reference 6
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f923acbc-f2ca-4460-80fd-f5b9ec6e504a · outbound
This paper cites The cognitive reserve hypothesis: a longitudinal examination of age-associated declines in reasoning and processing speed.Developmental psychology, 45(2):431, 2009.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline The cognitive reserve hypothesis: a longitudinal examination of age-associated declines in reasoning and processing speed.Developmental psychology, 45(2):431, 2009
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 15ab83c4-91dd-4203-9760-54889939a932 · outbound
This paper cites The challenges of implementing hybrid baselines for the interpretation of longitudinal behavioral data from individuals.npj Digital Medicine, 9 (1):331, 2026.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline The challenges of implementing hybrid baselines for the interpretation of longitudinal behavioral data from individuals.npj Digital Medicine, 9 (1):331, 2026
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bf37eae4-2bfb-40bc-82c4-33e6449e373e · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:39:08.460880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4c4180dd-1180-4cb8-b3d3-038ba502a796 · outbound
This paper cites Lack of group-to-individual generalizability is a threat to human subjects research.Proceedings of the National Academy of Sciences, 115(27):E6106–E6115, 2018.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Lack of group-to-individual generalizability is a threat to human subjects research.Proceedings of the National Academy of Sciences, 115(27):E6106–E6115, 2018
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.449959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1032b45e-3ed3-4e2d-87e1-32453c765e43 · outbound
This paper cites Expanding the use of brief cognitive assessments to detect suspected early-stage cognitive impairment in primary care.Alzheimer’s & Dementia, 19(9):4252–4259, 2023.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Expanding the use of brief cognitive assessments to detect suspected early-stage cognitive impairment in primary care.Alzheimer’s & Dementia, 19(9):4252–4259, 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.439797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d23b32d5-5d2a-47ed-b020-28169e7c50f9 · outbound
This paper cites Accessible analysis of longitudinal data with linear mixed effects models.Disease Models & Mechanisms, 15(5): dmm048025, 2022.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Accessible analysis of longitudinal data with linear mixed effects models.Disease Models & Mechanisms, 15(5): dmm048025, 2022
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06ea225b-3c4a-49f0-9503-92d16474dae9 · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 587be501-989f-4ea1-80c1-54729da3818a · outbound
This paper cites Evaluating the performance of bayesian and frequentist approaches for longitudinal modeling: application to alzheimer’s disease.Scientific Reports, 12(1):14448, 2022.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Evaluating the performance of bayesian and frequentist approaches for longitudinal modeling: application to alzheimer’s disease.Scientific Reports, 12(1):14448, 2022
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.407776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d61ce51b-c0b1-4ddc-98b3-95e9d0c675e8 · outbound
This paper cites That blup is a good thing: the estimation of random effects.Statistical science, pages 15–32, 1991.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline That blup is a good thing: the estimation of random effects.Statistical science, pages 15–32, 1991
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.397019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f59c815-3643-4867-97a5-685ae2abce66 · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:39:08.387026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5d5fcba7-6d9d-4531-9355-c58229dfcb93 · outbound
This paper cites Misuse of the linear mixed model when evaluating risk factors of cognitive decline.American journal of epidemiology, 174(9):1077–1088, 2011.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Misuse of the linear mixed model when evaluating risk factors of cognitive decline.American journal of epidemiology, 174(9):1077–1088, 2011
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.376796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b68bbf9-43fc-4810-9bad-ec78d917c0b3 · outbound
This paper cites Instantiated mixed effects modeling of alzheimer’s disease markers.NeuroImage, 142:113–125, 2016.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Instantiated mixed effects modeling of alzheimer’s disease markers.NeuroImage, 142:113–125, 2016
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.366392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7a373be0-d4ca-4246-a308-b4932f3509b1 · outbound
This paper cites An improved model for disease progression in patients from the alzheimer’s disease neuroimaging initiative.The Journal of Clinical Pharmacology, 52(5):629–644, 2012.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline An improved model for disease progression in patients from the alzheimer’s disease neuroimaging initiative.The Journal of Clinical Pharmacology, 52(5):629–644, 2012
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.356184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7b19804-3de1-4b4c-ba7b-c351e541fc96 · outbound
This paper cites Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data.Biometrics, 67(3):819–829, 2011.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data.Biometrics, 67(3):819–829, 2011
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c6d58da-f9c4-40f2-ae93-b2e712aef410 · outbound
This paper cites A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes.Statistical Methods in Medical Research, 31 (3):520–533, 2022.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes.Statistical Methods in Medical Research, 31 (3):520–533, 2022
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.338847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 58dfc65b-b3e3-44a3-b1dc-e3acc4e176bf · outbound
This paper cites Forecasting the prevalence of preclinical and clinical alzheimer’s disease in the united states.Alzheimer’s & Dementia, 14(2):121–129, 2018.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Forecasting the prevalence of preclinical and clinical alzheimer’s disease in the united states.Alzheimer’s & Dementia, 14(2):121–129, 2018
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f52536e5-b3e1-4164-aa3c-8b409a6f8f80 · outbound
This paper cites Mills, Allan Lawrie, David G.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Mills, Allan Lawrie, David G
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.317402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8c0e3126-2d44-4270-befd-3c6a81b466f8 · outbound
This paper cites Forecasting individual progression trajectories in alzheimer’s disease.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Forecasting individual progression trajectories in alzheimer’s disease
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.304435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8dc5f9c4-3c58-43da-9ae8-43642aefcf34 · outbound
This paper cites Reflections on dynamic prediction of alzheimer’s disease: advancements in modeling longitudinal outcomes and time-to-event data.BMC Medical Research Methodology, 25, 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Reflections on dynamic prediction of alzheimer’s disease: advancements in modeling longitudinal outcomes and time-to-event data.BMC Medical Research Methodology, 25, 2025
Reference 25
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 371af631-18a0-45f6-b657-fa39ef0058f8 · outbound
This paper cites Applying deep learning to predicting dementia and mild cognitive impairment.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Applying deep learning to predicting dementia and mild cognitive impairment
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.292763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30de49ad-e8be-4909-9e75-9d2e08e854b2 · outbound
This paper cites Prediction of progression from mild cognitive impairment to alzheimer’s disease with longitudinal and multimodal data.Frontiers in dementia, 2: 1271680, 2023.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Prediction of progression from mild cognitive impairment to alzheimer’s disease with longitudinal and multimodal data.Frontiers in dementia, 2: 1271680, 2023
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6461bd2d-e326-4c90-a824-869982750a81 · outbound
This paper cites Modeling alzheimer’s disease progression using deep recurrent neural networks.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Modeling alzheimer’s disease progression using deep recurrent neural networks
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.268318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 938f931f-9512-4279-bde4-35d60b652835 · outbound
This paper cites Longitudinal methods for alzheimer’s cognitive status prediction with deep learning.Alzheimer’s & Dementia, 21 (9):e70488, 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Longitudinal methods for alzheimer’s cognitive status prediction with deep learning.Alzheimer’s & Dementia, 21 (9):e70488, 2025
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.257137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b34a1d2-d7f3-4f75-baa9-5fd9fbc2607f · outbound
This paper cites Deep learning in alzheimer’s disease: diagnostic classification and prognostic prediction using neuroimaging data.Frontiers in aging neuroscience, 11:220, 2019.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Deep learning in alzheimer’s disease: diagnostic classification and prognostic prediction using neuroimaging data.Frontiers in aging neuroscience, 11:220, 2019
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a58126b-ff0c-42ab-a905-473303893c6a · outbound
This paper cites Transparency of machine-learning in healthcare: The gdpr & european health law.Computer Law & Security Review, 43:105611, 2021.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Transparency of machine-learning in healthcare: The gdpr & european health law.Computer Law & Security Review, 43:105611, 2021
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.237814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f6893644-eeee-41e8-9f07-0a830136de84 · outbound
This paper cites Machine learning approaches for speech-based alzheimer’s detection: a comprehensive survey.Computers, 14(2):36, 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Machine learning approaches for speech-based alzheimer’s detection: a comprehensive survey.Computers, 14(2):36, 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.224575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation be27103b-4241-4194-9349-d857625ae199 · outbound
This paper cites Evaluation of speech-based digital biomarkers: review and recommenda- tions.Digital biomarkers, 4(3):99–108, 2020.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Evaluation of speech-based digital biomarkers: review and recommenda- tions.Digital biomarkers, 4(3):99–108, 2020
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.212144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 07787e4f-1234-44c8-ada3-72e040bc7ab7 · outbound
This paper cites Resting state eeg biomarkers of cognitive decline associated with alzheimer’s disease and mild cognitive impairment.PloS one, 16(2):e0244180, 2021.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Resting state eeg biomarkers of cognitive decline associated with alzheimer’s disease and mild cognitive impairment.PloS one, 16(2):e0244180, 2021
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.200313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3bb9d609-b186-4f4b-92bc-c7b4b24f2d09 · outbound
This paper cites Neuroimaging advances regarding subjective cognitive decline in preclinical alzheimer’s disease.Molecular Neurodegeneration, 15(1):55, 2020.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Neuroimaging advances regarding subjective cognitive decline in preclinical alzheimer’s disease.Molecular Neurodegeneration, 15(1):55, 2020
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.189157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 01b9b68a-31f0-4423-aaed-e8a5d3d66918 · outbound
This paper cites Imaging biomarkers associated with cognitive decline: a review.Biological psychiatry, 77(8):685–692, 2015.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Imaging biomarkers associated with cognitive decline: a review.Biological psychiatry, 77(8):685–692, 2015
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.177230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11b069fd-0664-46aa-af42-060022888a0a · outbound
This paper cites Schein, Alexandrin Popescul, Lyle H.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Schein, Alexandrin Popescul, Lyle H
Reference 37
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T10:39:07.569055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e38a8178-fd32-470d-8185-6ec897b88e34 · outbound
This paper cites A systematic literature review of solutions for cold start problem.International Journal of System Assurance Engineering and Management, 15:2818–2852, 2024.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline A systematic literature review of solutions for cold start problem.International Journal of System Assurance Engineering and Management, 15:2818–2852, 2024
Reference 38
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:06.926548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 91f88141-7e34-43d9-8f79-311761d2ca58 · outbound
This paper cites Sachs, Gordon J.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Sachs, Gordon J
Reference 39
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T10:39:07.371303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 848b058f-2cb7-4854-b854-8e2185f2d591 · outbound
This paper cites Ferri, Mariella Guerra, Yueqin Huang, K.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Ferri, Mariella Guerra, Yueqin Huang, K
Reference 40
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:06.916058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation af335ff9-4474-472d-b46e-a28c9291d437 · outbound
This paper cites Fjell, Linda McEvoy, Dominic Holland, Anders M.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Fjell, Linda McEvoy, Dominic Holland, Anders M
Reference 41
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:06.907123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f5c8b4cb-8e4f-42b2-bd3f-6b26ef2745ee · outbound
This paper cites Harada, Marissa C.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Harada, Marissa C
Reference 42
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:06.725458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f7370c71-3e85-463b-871b-f2a3ec1754db · outbound
This paper cites Intelligible models for classification and regression.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Intelligible models for classification and regression
Reference 43
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T10:39:07.217437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cb88da67-a68f-4bd0-82f6-2c57fcc27d83 · outbound
This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature machine intelligence, 1(5):206–215, 2019.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature machine intelligence, 1(5):206–215, 2019
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:39:03.813891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e5dc743-5bea-415f-85e5-8a73e5130286 · outbound
This paper cites InterpretML: A Unified Framework for Machine Learning Interpretability.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline InterpretML: A Unified Framework for Machine Learning Interpretability
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:39:03.890716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f51d1df-1988-4014-8c6a-b4f4e199abd8 · outbound
This paper cites Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmis- sion.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmis- sion
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:39:03.964578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 089d11a3-ebf9-4da6-bb1f-4d265726950e · outbound
This paper cites Interpretable machine learning for precision cognitive aging.Frontiers in Computational Neuroscience, 19:1560064, 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Interpretable machine learning for precision cognitive aging.Frontiers in Computational Neuroscience, 19:1560064, 2025
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.157746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 65b762ee-04da-4218-93d5-a71d1f69c3a2 · outbound
This paper cites Rand hrs longitudinal file 2022 (v1), May 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Rand hrs longitudinal file 2022 (v1), May 2025
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.146846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3b5d65bc-84b2-46e1-941a-3ef3be7e48f7 · outbound
This paper cites Health and retirement study, rand hrs longitudinal file 2022 (v1) public use dataset, 2025.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Health and retirement study, rand hrs longitudinal file 2022 (v1) public use dataset, 2025
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.135115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b0503fe-290a-46a0-83e4-f1bb06cea109 · outbound
This paper cites URL https://hrsdata.isr.umich.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline URL https://hrsdata.isr.umich
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.124566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation af9b9a4a-2100-43a6-88ef-8a2b23771a07 · outbound
This paper cites Fisher, and A.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Fisher, and A
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.114026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1877928d-2989-4881-979d-f2e1721ee20f · outbound
This paper cites Elias, Alexa Beiser, Philip A.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Elias, Alexa Beiser, Philip A
Reference 52
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:06.394754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ec5f5a4e-f9ed-48ac-b097-898ac506652c · outbound
This paper cites Laukka, and Brent J.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Laukka, and Brent J
Reference 53
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:06.141592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c85b793-faa9-4f02-8022-636bd3a6bbe8 · outbound
This paper cites Langa, David R.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Langa, David R
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.103005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 561bb528-7e59-433a-9540-b5c6dfc1a276 · outbound
This paper cites Langa, David R.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Langa, David R
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.080435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation faf3a5ef-a7df-4171-8a3c-2bd82983a463 · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:39:04.701503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3162e3cf-7bed-40f5-8d53-acbf3095ca17 · outbound
This paper cites Alzheimer’s Disease Neuroimaging Initiative (ADNI), 2024.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Alzheimer’s Disease Neuroimaging Initiative (ADNI), 2024
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.067595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 34069ff1-9186-4a82-b1dc-929fd54b1fe4 · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:39:08.054523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c5c06619-156a-43a6-ad85-ce7139703904 · outbound
This paper cites Hammers, Kevin Duff, Kelsey R.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Hammers, Kevin Duff, Kelsey R
Reference 59
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-05T10:39:07.042824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation daba6f8a-9cdb-40d2-b39e-f5192ce6e8ed · outbound
This paper cites Webb, Yiyi Ou, Tatiana Wilkinson, Andrew M.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Webb, Yiyi Ou, Tatiana Wilkinson, Andrew M
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.043543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1c227a31-4d2d-41d0-92f8-1ceaeb164dd5 · outbound
This paper cites Hurd, Paco Martorell, Adeline Delavande, Kathleen J.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Hurd, Paco Martorell, Adeline Delavande, Kathleen J
Reference 61
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:05.659125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ab8cf428-8156-419b-94c7-6f9ee8321ff6 · outbound
This paper cites Hard negatives were defined as individuals who never had a visit with a worse diagnostic/classification state than their baseline state.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Hard negatives were defined as individuals who never had a visit with a worse diagnostic/classification state than their baseline state
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.031457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28dfce15-862b-4c79-950f-e94c662f8005 · outbound
This paper cites Positive cases not flagged before transition contributed zero reward.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Positive cases not flagged before transition contributed zero reward
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:39:08.019971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dfe5d3ed-96f0-462e-b382-eacdd1dc905c · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:39:08.008470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e7a3550-01a2-4d9c-853b-600b94524ac3 · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:39:07.998565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ed8ea7d3-278a-40af-bbd8-021a5f6fb40f · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:39:08.091643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6d835009-b49f-429b-af7a-d5945ec11ec8 · outbound
This paper cites an unresolved cited work.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline Unresolved cited work
Reference 2022
- Resolution
- verified exact
- doi, observed 2026-08-05T10:39:05.883558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 39356a56-ce57-4a37-82a4-9f80b5d5298d · outbound
This paper cites URLhttps://doi.org/10.1098/rsif.2023.0682.
From population norms to personalized trajectories: interpretable Bayesian forecasting for cognitive decline URLhttps://doi.org/10.1098/rsif.2023.0682
Reference 5689
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T10:39:07.811642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.