{"as_of":"2026-08-09T22:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e1baddbc2b3ae427becdf6cc84e5483b2ccfb29da831bb4f2ce74ab5e35dedc","coverage":[{"denominator":80,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":80,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T10:05:35.755914Z","state":"measured"},{"denominator":81,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":81,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T00:43:59.328732Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.11917","snapshot_observed_at":"2026-08-03T00:43:59.328732Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28687","last_updated":"2026-07-30T06:38:33Z","snapshot_observed_at":"2026-08-08T06:40:12.581054Z","submitted_at":"2026-07-30T06:38:33Z","title":"Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-03T00:43:59.328732Z"},"links":{"cited_paper":"/paper/2510.11917","citing_paper":"/paper/2607.28687"},"observation_digest":"sha256:34f334b33a8eb9f9c8e8e33ff2cfddc7e55ff3f5fb14f8b621187a815974189c","observation_id":"bdf7dd43-dd73-4be7-97a7-a697260fea4a","resolution":{"observed_at":"2026-08-03T00:43:59.328732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2510.11917/citation-record","integrity":"/paper/2510.11917/integrity","json":"/paper/2510.11917/citation-record.json","paper":"/paper/2510.11917"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:28.566015Z","title":"2025 alzheimer’s disease facts and figures,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:28.566015Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:dd6f72216ad62a499f922c09817b0eb9e6354e5fbebde7d0c9f97ca87fa4dad7","observation_id":"0eaa538a-d899-43b2-9fca-c199a31ed26b","resolution":{"observed_at":"2026-08-04T10:05:28.566015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:28.696397Z","title":"Mohw announces latest epidemiological survey results on dementia in taiwan communities","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:28.696397Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:9388db4b2f635d75e770d0e74e26402a3f3ce5f88a85693326a85aa243e92c6a","observation_id":"9f5728ef-54be-4f58-af1e-ccbb601a69e5","resolution":{"observed_at":"2026-08-04T10:05:28.696397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:28.826359Z","title":"Frontotemporal dementias: a review,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:28.826359Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:1fc3c675e238a0f81aa4ee1e01dac4cd4f8037c1df0a83f27ae93ae0c882081f","observation_id":"576945a3-08a3-4a69-9d7e-dae34f536926","resolution":{"observed_at":"2026-08-04T10:05:28.826359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:28.942254Z","title":"Behaviour in frontotemporal dementia, alzheimer’s disease and vascular dementia,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:28.942254Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:fc726a269d30d0db470ba484285a07ff4ead198c26e0b704fe8017f1caf17805","observation_id":"e8cee132-a0e4-4a52-80db-1feaca93e5b1","resolution":{"observed_at":"2026-08-04T10:05:28.942254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.066945Z","title":"Differences in multimodal electroencephalogram and clinical correlations between early-onset alzheimer’s disease and frontotemporal dementia,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.066945Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:c588e2434da76de1095c32fa344e0c809597080f03ff7c9dd0ba4af6823aa175","observation_id":"f8d22c00-0e33-405e-ac21-0ecf6c1cbb95","resolution":{"observed_at":"2026-08-04T10:05:29.066945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.220132Z","title":"Neural biomarker diagnosis and prediction to mild cognitive impairment and alzheimer’s disease using eeg technology,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.220132Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:bd5c4efe5492610d9516ed29d432c755fb4724f4ca33ec6cab3042488ea22265","observation_id":"6628a118-1e1d-431a-adc4-c02d06c1c85f","resolution":{"observed_at":"2026-08-04T10:05:29.220132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.330668Z","title":"Eeg biomarkers in alzheimer’s and prodromal alzheimer’s: A comprehensive analysis of spectral and connectivity features,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.330668Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:2eec9f182ee3d1f390c87adadcc43a43ceeaac1f08a4e4ff8b21bb5d53ccd8d4","observation_id":"dccbaba0-a4c7-450a-914e-6100bb1ec3a7","resolution":{"observed_at":"2026-08-04T10:05:29.330668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.481372Z","title":"An explainable and efficient deep learning framework for eeg-based diagnosis of alzheimer’s and frontotemporal dementia,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.481372Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:34f979b50ddd9488801e02da8519809d455c413c31d1728ae21d9a551ba5ddf8","observation_id":"25f9b9ab-60da-46c9-8eb3-018f5824f3ba","resolution":{"observed_at":"2026-08-04T10:05:29.481372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.591287Z","title":"Diagnose alzheimer’s disease and mild cogni- tive impairment using deep cascadenet and handcrafted features from eeg signals,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.591287Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:69c8ce3fb6e0195f3d7a62da35f9511ca4ec074a38dcf5e56427c1c0e34e3292","observation_id":"a9bc444b-faf3-455d-8909-bdff7e50beaf","resolution":{"observed_at":"2026-08-04T10:05:29.591287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.706591Z","title":"Olfactory eeg based alzheimer disease classification through transformer based feature fusion with tunable q-factor wavelet coefficient mapping,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.706591Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:757cec15db7c28c4f9b2948f4452d086795b9c390224ad2bbb0ca9230bd11a9c","observation_id":"7ecff23f-ada0-4e65-bf79-ca5c4bcc5586","resolution":{"observed_at":"2026-08-04T10:05:29.706591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.770770Z","title":"Deep ensemble learning with transformer models for enhanced alzheimer’s disease detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.770770Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:6d2b8a09cc7a1ddc94919cff71f7b65cae7bbd118de009909a451bc19abb807c","observation_id":"9106bab8-8c7b-4cba-9462-6ee953aa7c57","resolution":{"observed_at":"2026-08-04T10:05:29.770770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.881261Z","title":"Investigating convolutional and transformer-based models for classifying mild cognitive impairment using 2d spectral images of resting-state eeg,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.881261Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:1b2603fceef6b1cf100ea03cd874ef30c6583c25de4489f589a7efb636c48a53","observation_id":"2747ccf0-76a9-413e-990b-8a9fd0030ec2","resolution":{"observed_at":"2026-08-04T10:05:29.881261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:29.971475Z","title":"Dice-net: a novel convolution-transformer architecture for alzheimer detection in eeg signals,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:29.971475Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:4242e02ce0e6fb7772d8c5498049b226ca090dfbb6ee6dc17cb5fe37aab81864","observation_id":"8a30d2d5-782d-4f01-9163-911194661b3b","resolution":{"observed_at":"2026-08-04T10:05:29.971475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.071757Z","title":"Lead: Large foundation model for eeg-based alzheimer’s disease detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.071757Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:6b86e074957870491342d46c539af6b929d25f89386ed52d185396f015744356","observation_id":"cde01381-08b2-4195-a2fd-81a421a866f4","resolution":{"observed_at":"2026-08-04T10:05:30.071757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.149346Z","title":"A dual path graph neural network framework for dementia diagnosis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.149346Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:345cee0e1c49b451a043af329475dfe20295525d668ead9ae674ab7a6becbb67","observation_id":"36dccb14-573c-4c3d-9f60-be1d8fb07cc3","resolution":{"observed_at":"2026-08-04T10:05:30.149346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.251906Z","title":"A multi-graph convolutional network method for alzheimer’s disease diagnosis based on multi- frequency eeg data with dual-mode connectivity,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.251906Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:08d1dcb528a6e2285344e489bedfb6df0fa764e1fdde9884190832621e050b63","observation_id":"6d66b83d-3516-4541-88bb-5a562bdecae6","resolution":{"observed_at":"2026-08-04T10:05:30.251906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.355652Z","title":"A novel graph neural network method for alzheimer’s disease classifica- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.355652Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:91c8469dcc986203539458942310ea4387b16e39dbefae243dc64d7c5ee0c8e6","observation_id":"6a3a8d84-165a-40d6-8340-4152c84b8f4d","resolution":{"observed_at":"2026-08-04T10:05:30.355652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.430513Z","title":"Eeg-based brain functional network analysis for differential identification of dementia- related disorders and their onset,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.430513Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:484a0d4dbbec5af6f31c28126364423a6c2419f417cdf8e1b7b54f88434d394b","observation_id":"65d6faa0-0f9e-4764-becb-6fdcae091166","resolution":{"observed_at":"2026-08-04T10:05:30.430513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.555384Z","title":"Adap- tive gated graph convolutional network for explainable diagnosis of alzheimer’s disease using eeg data,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.555384Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:eed14863bbb7781a826ffdf3fab7e5b33f4a68c23bed95db90d2ba731a6e82dd","observation_id":"d4128b13-e44a-4ff4-bba3-44ec7bdc3f2a","resolution":{"observed_at":"2026-08-04T10:05:30.555384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.630264Z","title":"Variational graph normalized autoencoders,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.630264Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:1eb1eb3904bb760972830289846dd1403add8c6228d98616bfe21cb4b83896a4","observation_id":"c63aec83-d8ec-4950-9ed8-c76044ed7d7a","resolution":{"observed_at":"2026-08-04T10:05:30.630264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.704506Z","title":"Dynamic causal explanation based diffusion-variational graph neural network for spatiotemporal forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.704506Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:6501d1ffeed260c58fc4eafe3466990558e1a09d6579ae71206cef3671413233","observation_id":"093f84ca-d91d-4b21-96db-8e2303ef2a94","resolution":{"observed_at":"2026-08-04T10:05:30.704506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.771811Z","title":"A survey on mixture of experts in large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.771811Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:318791418b5b015ed2ef31854bd75728b3fccfdad96f2d2463a25c912ff65ddf","observation_id":"94a534a1-62e9-454d-b54a-836ecee0f8ec","resolution":{"observed_at":"2026-08-04T10:05:30.771811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:30.845643Z","title":"Dynamic modeling of patients, modalities and tasks via multi-modal multi-task mixture of experts,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.845643Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:31db58cd0b76ab464097eaae930db3905b2c827258ebf1f6854bc3bdad455f4a","observation_id":"f52e98c5-8e33-475a-8afc-9101f95ddc1a","resolution":{"observed_at":"2026-08-04T10:05:30.845643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.01337","last_updated":"2025-07-02T03:55:13Z","snapshot_observed_at":"2026-08-09T02:14:01.407646Z","submitted_at":"2025-07-02T03:55:13Z","title":"Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.01337","snapshot_observed_at":"2026-08-04T10:05:30.934145Z","title":"Dynamical multimodal fusion with mixture-of-experts for localizations,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:30.934145Z"},"links":{"cited_paper":"/paper/2507.01337","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:b70c2d8d0a91ab9bf6e4e5d100a4711fb175d14a7dd4b8fa85bdf1a490e2fe0d","observation_id":"3fcf22a6-d92e-425c-b394-bf7b627fe72e","resolution":{"observed_at":"2026-08-04T10:05:30.934145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.074864Z","title":"Graph multi-convolution and attention pooling for graph classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.074864Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:31e0a376f999583c29f3c6eaa879b8782af2f76d0a5c9ba1af0c94b0f371f795","observation_id":"b4866494-3648-40e2-a0dc-4dd9d87dcd6d","resolution":{"observed_at":"2026-08-04T10:05:31.074864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.243187Z","title":"A hierarchical mixture-of-experts frame- work for few labeled node classification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.243187Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:3c50a614c1344f29d149af7fe5129eca08aaab5db8ceba7d089f59fb324a8917","observation_id":"505f65a7-ec29-4bde-99ac-176779c6f16e","resolution":{"observed_at":"2026-08-04T10:05:31.243187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.316449Z","title":"Mixture of experts for node classification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.316449Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:f64e072853951a495179352a7a90a96e71b3b1b0ebf9c644c9d46ed54d4ba7f0","observation_id":"350b24c2-2b8b-44f0-9179-01419f162501","resolution":{"observed_at":"2026-08-04T10:05:31.316449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.479078Z","title":"A multi-view mixture-of-experts based on language and graphs for molecular properties prediction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.479078Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:a310001823fa62bc070f8bbd4aea4c29a428f42834ec5102c8822da24904de44","observation_id":"5f26daa0-fc35-4b7d-a95c-143618a4d318","resolution":{"observed_at":"2026-08-04T10:05:31.479078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.532354Z","title":"Graph mixture of experts and memory-augmented routers for multivariate time series anomaly detec- tion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.532354Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:76604719e44a15179542275820ef4806247b39d4781b1db62864d5b74b5c7d2e","observation_id":"3a15b734-dcf0-4e39-8258-9ae66c5d291b","resolution":{"observed_at":"2026-08-04T10:05:31.532354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.619788Z","title":"The more, the better? evaluating the role of eeg preprocessing for deep learning applications.,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.619788Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:8c5d2969522f4af22e986e1bad1c2af188c5846fc29198a2759ed68fc6d60428","observation_id":"196b8cdc-c487-4b7d-af57-c6ba35c51042","resolution":{"observed_at":"2026-08-04T10:05:31.619788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.684066Z","title":"Future of alzheimer’s detection: Advancing diagnostic accuracy through the integration of qeeg and artificial intelligence,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.684066Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:8f2d3858ad643dc63a95da69baaa181f6563cd97c03863acae2cc7a8d9c2f7df","observation_id":"6e780bbd-066d-49e2-ab8a-494265d33e02","resolution":{"observed_at":"2026-08-04T10:05:31.684066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.769140Z","title":"Using cnn saliency maps and eeg modulation spectra for improved and more interpretable machine learning-based alzheimer’s disease diagnosis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.769140Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:653b9014e1bb05d0bec8aa6e092594e9327470543eeeddfcc567948ad1a88642","observation_id":"89974f73-a1ea-4bf5-a1df-1aa6ca88d715","resolution":{"observed_at":"2026-08-04T10:05:31.769140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.846430Z","title":"A novel method for diagnosing alzheimer’s disease using deep pyramid cnn based on eeg signals,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.846430Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:1d0858fa64279218f35ed9db461dfc335f16f31dd49df913b5381b050f39de14","observation_id":"e1c5b4db-5a7e-4af3-9614-e278cef1fe13","resolution":{"observed_at":"2026-08-04T10:05:31.846430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.910653Z","title":"Deep learning into the future: Hybrid cnn-rnn for early detection of alzheimer’s disease,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.910653Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:634882cff91fd7aebf17115355e834a8ff16bd79e5e2c4572de3538cb6e7956d","observation_id":"b3f23396-ecf4-413b-85cb-957e8608749d","resolution":{"observed_at":"2026-08-04T10:05:31.910653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:31.968626Z","title":"Fuzzy rnn model-based classification of alzheimer’s disease and dementia using brain eeg signals,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:31.968626Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:3e16f64f761ce41cf1ab231ccbb0f0a63baba9a2a82606c711e7543dd84548f6","observation_id":"c137ac02-9c85-4c08-bf41-e406ec064c1f","resolution":{"observed_at":"2026-08-04T10:05:31.968626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00032","last_updated":"2025-08-04T06:14:54Z","snapshot_observed_at":"2026-08-08T20:43:39.107316Z","submitted_at":"2024-08-17T14:10:41Z","title":"ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00032","snapshot_observed_at":"2026-08-04T10:05:32.054845Z","title":"Adformer: A multi-granularity transformer for eeg-based alzheimer’s disease assessment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.054845Z"},"links":{"cited_paper":"/paper/2409.00032","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:a8762448538d2fb894207e1d1709892a7e3cde99a81f026362ce43db5bd04365","observation_id":"a69278d4-4216-4c01-98d8-8848e19fd30a","resolution":{"observed_at":"2026-08-04T10:05:32.054845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.127960Z","title":"Multi-frequency eeg and multi- functional connectivity graph convolutional network based detection method of patients with alzheimer’s disease,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.127960Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:5bfcfd42d64cf49097dca411dcafd4b451c86e94442e83f1470a51e0f6370afb","observation_id":"71c5af00-5021-43f1-8050-a0bb84a418aa","resolution":{"observed_at":"2026-08-04T10:05:32.127960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.206823Z","title":"Cognitive and neuropsychiatric correlates of eeg dynamic complexity in patients with alzheimer’s disease,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.206823Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:4778aa95f06d60ad265d813c489505a39e6b3d65037e6f92eb2559b15fc71fd4","observation_id":"7298d0b0-13b3-4477-a680-e04adbf1753e","resolution":{"observed_at":"2026-08-04T10:05:32.206823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.291888Z","title":"Eeg2vec: Learning affective eeg rep- resentations via variational autoencoders,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.291888Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:66851b45982f505b23a07523baeaca4e2e613f5e98dccf1df8ae775db5d0dc52","observation_id":"0f480610-b829-476a-8f3d-fe0fcb8e01ce","resolution":{"observed_at":"2026-08-04T10:05:32.291888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.372412Z","title":"Variational pathway reasoning for eeg emotion recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.372412Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:c06d3007739e33fcf3b6f317452146687389ec3704fdb040aa7ef553810f09ba","observation_id":"181145d0-2ed6-4c34-bf83-abed59463a07","resolution":{"observed_at":"2026-08-04T10:05:32.372412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.441726Z","title":"Variational instance-adaptive graph for eeg emotion recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.441726Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:5b63038de4c9cdc82124662e37b511739704af43fda8ce628d9a3c71c50ebe30","observation_id":"7bfec741-d738-49c7-a4a4-a8d4f6ef685e","resolution":{"observed_at":"2026-08-04T10:05:32.441726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.535150Z","title":"Balancing active inference and active learning with deep variational predictive coding for eeg,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.535150Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:c6cd7c66172f3a24768f26b66e2826bbf4de304feca19e6dde97028414171c3a","observation_id":"ad3f16c5-ec20-4c4f-a1f3-6b59def61f9b","resolution":{"observed_at":"2026-08-04T10:05:32.535150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.590615Z","title":"Vsgt: variational spatial and gaussian temporal graph models for eeg-based emotion recognition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.590615Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:f4f8fe153de6fd8c09dc84d8656b83d69d9e2ffee9fb1b09715f974c2a7a8f63","observation_id":"29c5a753-e288-4185-8149-1e9a286f3660","resolution":{"observed_at":"2026-08-04T10:05:32.590615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.678868Z","title":"An alternative model for mixtures of experts,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.678868Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:6814e3aac1635a156364c95742f729448552b3317c6c56ee381488c47f7e8314","observation_id":"f3ae92e3-0520-47e6-b92e-5e9050de4538","resolution":{"observed_at":"2026-08-04T10:05:32.678868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.777433Z","title":"Empt: a sparsity transformer for eeg- based motor imagery recognition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.777433Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:5ee01f9a015513d02f9ede466b415f2136ab75daa49b7ebb12a2bbaf2173d2e6","observation_id":"bb483da2-fabd-40cd-aef8-6b37609933b8","resolution":{"observed_at":"2026-08-04T10:05:32.777433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.20254","last_updated":"2024-10-06T12:02:35Z","snapshot_observed_at":"2026-08-09T02:13:30.469300Z","submitted_at":"2024-07-20T11:15:47Z","title":"EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.20254","snapshot_observed_at":"2026-08-04T10:05:32.874357Z","title":"Eegmamba: Bidirectional state space model with mixture of experts for eeg multi-task classifica- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.874357Z"},"links":{"cited_paper":"/paper/2407.20254","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:0f69493d3329d1764d3dc87f0f0b46abafd8f1fdf651d4b9f58e1aadf929f0aa","observation_id":"254b95d4-e8a6-4933-9588-179b1f213715","resolution":{"observed_at":"2026-08-04T10:05:32.874357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:32.958844Z","title":"Mixture of experts for eeg-based seizure subtype classification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:32.958844Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:a9d995e91095335643c0b2ac53ee610dcafe31115702ffeefa124e61f2a19fd9","observation_id":"5f178760-b3c5-4c9b-b5ab-b10703e1c68e","resolution":{"observed_at":"2026-08-04T10:05:32.958844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.034035Z","title":"Wavelet/mixture of experts network structure for eeg signals classification,","venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.034035Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:c3edfd66d1c3efc4139a76660eae1066fe7ddd3515a3234f1a2f67fa51036d96","observation_id":"c81625c2-5264-48bd-83cc-4b839f20f099","resolution":{"observed_at":"2026-08-04T10:05:33.034035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.128793Z","title":"Decoding the moving mind: Multi-subject fmri-to-video retrieval with mllm semantic grounding,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.128793Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:915ba2120b29e656b659c6d833784752ee90bcf7f1ce58acc5fa641d9f34e4b2","observation_id":"41d011fd-1b22-4cfe-a79f-dc6e898669cc","resolution":{"observed_at":"2026-08-04T10:05:33.128793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.04128","last_updated":"2025-08-06T06:56:16Z","snapshot_observed_at":"2026-08-09T02:14:02.608806Z","submitted_at":"2025-08-06T06:56:16Z","title":"Neuro-MoBRE: Exploring Multi-subject Multi-task Intracranial Decoding via Explicit Heterogeneity Resolving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.04128","snapshot_observed_at":"2026-08-04T10:05:33.226643Z","title":"Neuro-mobre: Exploring multi-subject multi-task intracranial decoding via explicit heterogeneity resolving,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.226643Z"},"links":{"cited_paper":"/paper/2508.04128","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:b5626a6b9fb534aaf246316c9a54bc0e0936617a8c636684ed56c4981243e937","observation_id":"e344c672-a801-48a7-86f6-cd5ce5948aa6","resolution":{"observed_at":"2026-08-04T10:05:33.226643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.311232Z","title":"Eeg emotion recognition via identity based multi-gate mixture-of-experts network,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.311232Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:3f8b888a96553ee62e337da278b31ccb87da6c171406b5a7edd54cce730a08af","observation_id":"460a4df0-b2e0-4304-8ade-b252dda3a9b5","resolution":{"observed_at":"2026-08-04T10:05:33.311232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.411383Z","title":"Cognitmoe: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.411383Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:6cb93fefd9a28fe069de78436c2e1a05e703b27f20fdf4a63c81f0cf368faea7","observation_id":"de090d95-e643-4e6b-8b20-70cd07947dd2","resolution":{"observed_at":"2026-08-04T10:05:33.411383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07640","last_updated":"2025-03-05T22:19:49Z","snapshot_observed_at":"2026-08-09T02:14:02.866311Z","submitted_at":"2025-03-05T22:19:49Z","title":"BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07640","snapshot_observed_at":"2026-08-04T10:05:33.518987Z","title":"Brainnet-moe: Brain-inspired mixture-of- experts learning for neurological disease identification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.518987Z"},"links":{"cited_paper":"/paper/2503.07640","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:29f691b3f3a41ba34676f4044d78de79e50db155c7bfdc05ed94589ef6cd98b7","observation_id":"b8dad213-3764-495a-b1f5-098498530ca1","resolution":{"observed_at":"2026-08-04T10:05:33.518987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.611798Z","title":"Evaluating eeg com- plexity and spectral signatures in alzheimer’s disease and frontotemporal dementia: evidence for rostrocaudal asymmetry,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.611798Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:dcbdd404c89d4977b287937962a370aedb60c36f07dadd1a6c07abf2405c2c9f","observation_id":"3b4c8780-09dd-444d-8939-17d0d960c3e5","resolution":{"observed_at":"2026-08-04T10:05:33.611798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.723700Z","title":"Mgformer: A lightweight multi-granular transformer for subject-independent alzheimer’s classifi- cation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.723700Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:26c1c71d2dcf7eb8c05475ab6da6d7ccc4c4f500af27160b1509b5417f8cb426","observation_id":"4c49e0f7-0f8a-4c93-9f59-14ef2cba7877","resolution":{"observed_at":"2026-08-04T10:05:33.723700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:33.807694Z","title":"Resting state eeg biomarkers of cognitive decline associated with alzheimer’s disease and mild cognitive impairment,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.807694Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:2449ddcb7f6c227cb95f292c341818cea7d64a193cdd454bd15c6c52e9c02d83","observation_id":"ed58a49b-184c-4e4b-af75-c72f8aaf516c","resolution":{"observed_at":"2026-08-04T10:05:33.807694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-04T10:05:33.922204Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:33.922204Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:0f2872fcb1219c1fe1636241883f65ddfd2765db4e0aa6a3a96af0b82dc03177","observation_id":"dacdfdea-b4b5-4229-86c4-af2b601ae700","resolution":{"observed_at":"2026-08-04T10:05:33.922204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.039844Z","title":"Adaptive mixtures of local experts,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.039844Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:63e396328867997e9243e10b4f02e68198ddd93f9bb0449458c0b60c7e5c8e3d","observation_id":"e60aad64-2297-4e80-ba82-752ea11ff136","resolution":{"observed_at":"2026-08-04T10:05:34.039844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.15622","last_updated":"2021-03-29T14:03:03Z","snapshot_observed_at":"2026-08-09T02:14:01.937658Z","submitted_at":"2021-03-29T14:03:03Z","title":"Graph Classification by Mixture of Diverse Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.15622","snapshot_observed_at":"2026-08-04T10:05:34.131570Z","title":"Graph classification by mixture of diverse experts,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.131570Z"},"links":{"cited_paper":"/paper/2103.15622","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:55f0fdba81dacb5c18f1d4b128065078416ec682d96c74de7a23072cb16d234c","observation_id":"d9b696ab-29ca-4904-a67d-6cd9e8ad7827","resolution":{"observed_at":"2026-08-04T10:05:34.131570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.223887Z","title":"A dataset of scalp eeg recordings of alzheimer’s disease, frontotemporal dementia and healthy subjects from routine eeg,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.223887Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:2dbea6844e403008d98b2a57ac040d1bb975dd8a35fdd03675ace507ffdbcab6","observation_id":"12fd3fbf-ea51-4d5f-992e-22ed8865788c","resolution":{"observed_at":"2026-08-04T10:05:34.223887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.294419Z","title":"Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.294419Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:b2b22349eef8ae2a8e28867cc6b02c0be978c744a70de69354968df12822ce02","observation_id":"88fb3dc6-1788-4aa7-bf98-1201b83ab4db","resolution":{"observed_at":"2026-08-04T10:05:34.294419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00454","last_updated":"2023-08-01T11:10:33Z","snapshot_observed_at":"2026-08-09T02:14:00.953263Z","submitted_at":"2023-08-01T11:10:33Z","title":"ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.00454","snapshot_observed_at":"2026-08-04T10:05:34.375629Z","title":"Vit2eeg: leveraging hybrid pretrained vision transformers for eeg data,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.375629Z"},"links":{"cited_paper":"/paper/2308.00454","citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:93e03e644ddc3971c14b3a66d504d5efabfb9dda7769a552dfe211b7661b1a1d","observation_id":"20c1e5de-d4d6-4c63-bf0c-91c2c3a11872","resolution":{"observed_at":"2026-08-04T10:05:34.375629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.464196Z","title":"Dual- transformer cross-attention framework for alzheimer’s disease detection via dpte-guided eeg channel selection and multi-modal integration,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.464196Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:aeaac27353befacb40c18eeca187d1791e86b11bcb167360318c9efb1d1645dc","observation_id":"1c785c6a-8416-42a9-a31e-0ee8ca097d69","resolution":{"observed_at":"2026-08-04T10:05:34.464196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.574108Z","title":"Deciphering bladder cancer-related circrna biomarkers: An ensemble model integrating deep learning and statistics for circrna analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.574108Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:58e12f4d97f8dd47d735bd3aba9b9e1b951c72507dd88550739caec9f968c051","observation_id":"8cd0582e-fbee-4ab1-b14b-3021e4c4a304","resolution":{"observed_at":"2026-08-04T10:05:34.574108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.636829Z","title":"Graphmore: Mitigating topological heterogeneity via mixture of rie- mannian experts,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.636829Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:84e2c1b8f1e7470e2609faa119490c10b379366b11b5fc82dda99bdac0c41b3f","observation_id":"30b25a96-5a0d-4ec3-be11-7fc4e0ff0c97","resolution":{"observed_at":"2026-08-04T10:05:34.636829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.695617Z","title":"Moge: Mixture of graph experts for cross-subject emotion recognition via decomposing eeg,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.695617Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:4cbb69dccb69402ff6a09f043a78b43b4371d6190b6379b97a149978d253164c","observation_id":"63350b04-8990-446f-9bc7-f363f6d511f7","resolution":{"observed_at":"2026-08-04T10:05:34.695617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.750083Z","title":"Mixture of weak and strong experts on graphs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.750083Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:4cd0ab7506f917a740c3da1ce45bc35a511d4a8245b42c46690c4735f177a47c","observation_id":"2582b7e0-2c37-46c2-bba4-bc6ed6dd0ae1","resolution":{"observed_at":"2026-08-04T10:05:34.750083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.843627Z","title":"A novel approach to identify the brain regions that best classify adhd by means of eeg and deep learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.843627Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:d44657a1431cf9e3787108bb62aa8f281e43aeb5fac7b33f978214d827da2eb3","observation_id":"70de26c6-389b-4b98-b195-2cdfb2da0a67","resolution":{"observed_at":"2026-08-04T10:05:34.843627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.899413Z","title":"American clinical neurophysiology society guideline 2: guidelines for standard electrode position nomenclature,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.899413Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:0169c93d6a07389c1accfa64bbb4537ea511138f96da174dd1203a3d13279e3f","observation_id":"18d2ae33-7d52-4284-a23f-9a7a24b654c2","resolution":{"observed_at":"2026-08-04T10:05:34.899413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:34.999168Z","title":"Resting-state eeg signatures of alzheimer’s disease are driven by periodic but not aperiodic changes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:34.999168Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:b115bb18be066178547d1bb3995570715bc71b23a4bdfa9b88096b5ca5739d43","observation_id":"5b792b84-5224-4110-8aec-8b801585006b","resolution":{"observed_at":"2026-08-04T10:05:34.999168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.068614Z","title":"Slowing of eeg background activity in parkinson’s and alzheimer’s disease with early cognitive dysfunction,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.068614Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:f3e32efc34402b10c9b89fb3d7285e9f77a59f6e4d24acd68a209b74fd73b55b","observation_id":"e2382a45-97d2-4aeb-a11a-c6ee94ad96aa","resolution":{"observed_at":"2026-08-04T10:05:35.068614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.171823Z","title":"Frontal white matter volume and delta eeg sources negatively correlate in awake subjects with mild cognitive impairment and alzheimer’s disease,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.171823Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:6b6400c34db5559ef7213c0d43e2bcf5cb4ba89870d0111e35fa8277ceff419c","observation_id":"61ec91e5-1d84-40e0-b7ff-af55f9cb4970","resolution":{"observed_at":"2026-08-04T10:05:35.171823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.246903Z","title":"Electroencephalographic rhythms in Alzheimer’s disease,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.246903Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:c66f9ff43df3209da82d18b1e29385294287aa1c7f347248aae4f75e5c0bf707","observation_id":"b1bf1d74-35ff-4069-b496-100514074f07","resolution":{"observed_at":"2026-08-04T10:05:35.246903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.305292Z","title":"Quanti- tative eeg in the differential diagnosis of dementia subtypes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.305292Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:250802f32dfd2441ef58325b9f8ff252a190aae9708898720e657b89cb30e3b8","observation_id":"cc0bf52e-c7a8-4ec6-ae59-c954e5bfd50d","resolution":{"observed_at":"2026-08-04T10:05:35.305292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.350559Z","title":"Eeg-based minimum spanning tree analysis reveals network disruptions in alzheimer’s disease spectrum: An observational study,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.350559Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:8f3b8e3bea3c76fb1ed238898f59643034f37e0200aad4ef4aa4afc2dca7fbba","observation_id":"d90db343-d545-4728-8f26-f73d6fc6d7dd","resolution":{"observed_at":"2026-08-04T10:05:35.350559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.426831Z","title":"Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.426831Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:f31a51fa131fe5609e76b723310235a2a580fc9f262168b0fc5040cf18fc256d","observation_id":"d825de60-4c5f-4bda-911d-89d803a58def","resolution":{"observed_at":"2026-08-04T10:05:35.426831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.494552Z","title":"Evaluating brain electroencephalo- gram signal dynamics across cognitive disorders using information geometry,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.494552Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:aef0310e09e04026ca63ff81f924554da94ac3dfed03b3595e00f0c69334dd41","observation_id":"3f43ba28-da85-41a7-ad34-6d04263f887c","resolution":{"observed_at":"2026-08-04T10:05:35.494552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.578552Z","title":"Implication of eeg theta/alpha and theta/beta ratio in alzheimer’s and lewy body disease,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.578552Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:9937a0ac918151d9a181cc289cedb0d8d2cb09bde4afa69e125ad8411f2d601f","observation_id":"449cceb6-4876-442e-a348-e3020ebafe95","resolution":{"observed_at":"2026-08-04T10:05:35.578552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.666869Z","title":"Time- frequency functional connectivity alterations in alzheimer’s disease and frontotemporal dementia: An eeg analysis using machine learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.666869Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:2619d7a67a5bdae1a64364a85fb9bf632ac7bc7bc503d1f43eb5ec27468c54da","observation_id":"fc43c3f2-7427-41d7-8d22-296990f2b73e","resolution":{"observed_at":"2026-08-04T10:05:35.666869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:05:35.755914Z","title":"Differences in quanti- tative eeg between frontotemporal dementia and alzheimer’s disease as revealed by loreta,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-04T10:05:35.755914Z"},"links":{"citing_paper":"/paper/2510.11917"},"observation_digest":"sha256:0fa422a92a8ac8576b25087056ad88269520f3aed250f5405289354d331f750a","observation_id":"98725f14-5706-4bc3-8c13-f56b2ebb64d9","resolution":{"observed_at":"2026-08-04T10:05:35.755914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.11917","last_updated":"2026-07-15T01:33:52Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T02:13:39.398098Z","submitted_at":"2025-10-13T20:37:18Z","title":"Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks"},"reference_resolution":{"displayed":80,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":80,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":80},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2510.11917."}