Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:48:04.491035Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2506.01456.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:48:04.491035Z
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
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 98f07c24-3452-40cb-9a23-40c792e3dfd4 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023, 19(4): 1598-695
Reference 1
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Observation 75b82f49-daca-4578-863a-7a75c28dc75e · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Disentangling the heterogeneity of brain atrophy in Alzheimer’s Disease [J]
Reference 2
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Alzheimer's Disease: Epidemiology and Clinical Progression [J]
Reference 3
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Hypergraph -regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis [J]
Reference 4
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes A Deep Generative -Discriminative Learning for Multimodal Representation in Imaging Genetics [J]
Reference 5
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Linkage disequilibrium --understanding the evolutionary past and mapping the medical future [J]
Reference 6
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Opening the Black Box: Interpretable Machine Learning for Geneticists [J]
Reference 7
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Attention -based Deep Multiple Instance Learning [Z]//JENNIFER D, ANDREAS K
Reference 8
Source-reported events for the cited work
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Observation cc5a30f0-56a2-44b4-82db-40d3ecd96609 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Multimodal deep learning models for early detection of Alzheimer’s disease stage [J]
Reference 9
Source-reported events for the cited work
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Observation a1f9dfdd-b2e1-4027-8112-0c8767460bff · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes A Transformer -Based Knowledge Distillation Network for Cortical Cataract Grading [J]
Reference 10
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Observation 839dac35-c230-4f58-a8ba-18c258e989a3 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Comprehensive learning and adaptive teaching: Distilling multi- modal knowledge for pathological glioma grading [J]
Reference 11
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Observation 333d51ea-f461-479a-8bed-32a097ffc8ed · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Predictive classification of Alzheimer's disease using brain imaging and genetic data [J]
Reference 12
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Observation 8f9408f4-9c12-4e0d-9c27-dfdd63042a08 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Distilling the Knowledge in a Neural Network [J]
Reference 13
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes A Self-organizing Deep Auto-Encoder approach for Classification of Complex Diseases using SNP Genomics Data [J]
Reference 14
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes A novel representation of genomic sequences for taxonomic clustering and visualization by means of self -organizing maps [J]
Reference 15
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes BOOST: A fast approach to detecting gene -gene interactions in genome-wide case-control studies [J]
Reference 16
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Informative SNP selection methods based on SNP prediction [J]
Reference 17
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Machine learning -based models for genomic predicting neoadjuvant chemotherapeutic sensitivity in cervical cancer [J]
Reference 18
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Landmark-based deep multi-instance learning for brain disease diagnosis [J]
Reference 19
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes MRI -based Alzheimer's disease prediction via distilling the knowledge in multi-modal data [J]
Reference 20
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Deep Multi -Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis [J]
Reference 21
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Solving the multiple instance problem with axis-parallel rectangles [J]
Reference 22
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Attention -based Deep Multiple Instance Learning [J]
Reference 23
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Observation 5f6e5412-f0c2-470c-878d-cfadcad9f62b · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Regional cerebral atrophy correlates with amyloid accumulation in preclinical Alzheimer's disease [J]
Reference 24
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Observation d9bca450-a0f4-4ff8-81c8-b5172f770081 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Enhanced polygenic risk score incorporating gene -environment interaction suggests the association of major depressive disorder with cardiac and lung function [J]
Reference 25
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Observation e49fa556-25ba-497c-a822-15e8b6b838ac · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes CXCR6 orchestrates brain CD8(+) T cell residency and limits mouse Alzheimer's disease pathology [J]
Reference 26
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation [J]
Reference 27
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling [J]
Reference 28
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Deep Residual Learning for Image Recognition [J]
Reference 29
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Adam: A Method for Stochastic Optimization [J]
Reference 30
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes XGBoost: A Scalable Tree Boosting System [J]
Reference 31
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Random Forests [J]
Reference 32
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Support-vector networks [J]
Reference 33
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Multimodal integration of neuroimaging and genetic data for the diagnosis of mood disorders based on computer vision models [J]
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Multi -modal deep learning from imaging genomic data for schizophrenia classification [J]
Reference 35
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Unresolved cited work
Reference 36
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Observation 71a0d48e-3836-425b-9f67-4908c35eaf79 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Alzheimer's Disease Classification Through Imaging Genetic Data With IGnet [J]
Reference 37
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis [J]
Reference 38
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Observation f5a84077-c31e-4482-89b1-187a80e122b3 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Robustness in machine learning explanations: does it matter? [Z]
Reference 39
Source-reported events for the cited work
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Sanity checks for saliency maps [Z]
Reference 40
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Observation 35805a98-f61e-4b1a-a4ed-82cec0d61286 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Vitamin K and the nervous system: an overview of its actions [J]
Reference 41
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Observation 4fa7cc53-95bb-4f49-9083-aa41be334a58 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Decrease in naturally occurring antibodies against epitopes of Alzheimer's disease (AD) risk gene products is associated with cognitive decline in AD [J]
Reference 42
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes The transcriptional cofactor Tle3 reciprocally controls effector and central memory CD8+ T cell fates [J]
Reference 43
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Transducin-like enhancer of split 3 (TLE3) in adipose tissue is increased in situations characterized by decreased PPAR γ gene expression [J]
Reference 44
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Aberrant microRNA expression in the brains of neurodegenerative diseases: miR-29a decreased in Alzheimer disease brains targets neurone navigator 3 [J]
Reference 45
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes The impact of blood MCP-1 levels on Alzheimer's disease with genetic variation of UNC5C and NAV3 loci [J]
Reference 46
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Defining Alzheimer's Disease through Proteomic CSF Profiling [J]
Reference 47
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Association of CSF proteins with tau and amyloid β levels in asymptomatic 70-year-olds [J]
Reference 48
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Clinical and genetic characterization of a progressive RBL2 -associated neurodevelopmental disorder [J]
Reference 49
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Exploration and validation of biomarkers for Alzheimer's disease based on GEO database [J]
Reference 50
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Reduction of Nuak1 Decreases Tau and Reverses Phenotypes in a Tauopathy Mouse Model [J]
Reference 51
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes PCP4 Promotes Alzheimer's Disease Pathogenesis by Affecting Amyloid-β Protein Precursor Processing [J]
Reference 52
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes GNG13 Is a Potential Marker of the State of Health of Alzheimer's Disease Patients' Cerebellum [J]
Reference 53
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Genome -wide pleiotropy analysis of neuropathological traits related to Alzheimer's disease [J]
Reference 54
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Comparison of methods for multivariate gene -based association tests for complex diseases using common variants [J]
Reference 55
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy [J]
Reference 56
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Type -I-interferon signaling drives microglial dysfunction and senescence in human iPSC models of Down syndrome and Alzheimer's disease [J]
Reference 57
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes An environment -dependent transcriptional network specifies human microglia identity [J]
Reference 58
Source-reported events for the cited work
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Observation b5cdb525-b660-452e-8e8c-b1a8e2a070d7 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Genome-wide association study identifies SIAH3 locus influencing the rate of ventricular enlargement in non -demented elders [J]
Reference 59
Source-reported events for the cited work
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Polypeptide N -acetylgalactosaminyltransferase-Associated Phenotypes in Mammals [J]
Reference 60
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Observation 2066435b-32d1-4a11-b92e-4a72428a9d45 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Transcriptomic and glycomic analyses highlight pathway-specific glycosylation alterations unique to Alzheimer's disease [J]
Reference 61
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GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes p63 Regulates adult neural precursor and newly born neuron survival to control hippocampal -dependent Behavior [J]
Reference 62
Source-reported events for the cited work
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Observation 68e21ec1-a59a-47ed-9873-23acd14778b9 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Predicting Alzheimer's disease subtypes and understanding their molecular characteristics in living patients with transcriptomic trajectory profiling [J]
Reference 63
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Observation c846fc44-9955-4bbd-aa06-57f4ce357e34 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single - subject brain [J]
Reference 64
Source-reported events for the cited work
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Observation 8b793944-e83a-41dd-a2d1-ecb5f1e53bd5 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Distinct regional vulnerability to A β and iron accumulation in post mortem AD brains [J]
Reference 65
Source-reported events for the cited work
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Observation 0e240f73-acf7-4680-b732-a9d6632cd742 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes Therapeutic potential and mechanisms of repetitive transcranial magnetic stimulation in Alzheimer's disease: a literature review [J]
Reference 66
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Observation 9aeaaac7-06ca-47e7-b9f7-0c5add01c494 · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes β2-Microglobulin coaggregates with Aβ and contributes to amyloid pathology and cognitive deficits in Alzheimer’s disease model mice [J]
Reference 67
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 a453a8aa-eb52-4732-b11c-f85e444871ae · outbound
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes APOE4/4 is linked to damaging lipid droplets in Alzheimer’s disease microglia [J]
Reference 68
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