{"as_of":"2026-08-14T07:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b69a74d49403fcb0ab55172a4687a423c669b3235ec21d173b2cbada5201247d","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:12:52.422729Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2412.14522/citation-record","integrity":"/paper/2412.14522/integrity","json":"/paper/2412.14522/citation-record.json","paper":"/paper/2412.14522"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.872951Z","title":"Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the global burden of disease study 2016","venue":null,"work_id":"131e1428-e04e-4b6f-b796-e6066ddcbe65","year":1990},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.285437Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:27a5c437925f6656b99b9737900635439b5586a3aac3ab138819ad2c52a741ec","observation_id":"ba616b4e-5259-4f1a-9f0a-de964ee46b3a","resolution":{"observed_at":"2026-08-11T12:12:52.877799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.858232Z","title":"Burden of neurological disorders across the us from 1990-2017: a global burden of disease study","venue":null,"work_id":"75d2bf0e-d202-45b0-a268-175b787d816b","year":1990},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.291155Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:9539d26c7c0cce9da6df92620b9665175889a7e3e3167638526186e3c81855ee","observation_id":"7c1ff0b0-d102-46d5-bfc7-ade0f420749d","resolution":{"observed_at":"2026-08-11T12:12:52.862906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.842892Z","title":"Diagnosis and prognosis of mental disorders by means of eeg and deep learning: a systematic mapping study","venue":null,"work_id":"39d88807-6217-4bf7-93c2-f356964f4bd4","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.295854Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:4236503aafdeffe1eea8e82183bd5e461034eb6179936a78391d83b4bb0ac4fa","observation_id":"bc2aa4f8-7819-47cc-bf33-e39f404551b3","resolution":{"observed_at":"2026-08-11T12:12:52.847600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.827743Z","title":"A comprehensive survey on the detection, classification, and challenges of neurological disorders","venue":null,"work_id":"8afdc66c-dba2-47ea-8182-ff2fdb1f5f20","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.300723Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:0cf3ae78ba9db0c065f31ebf6108fa97621327b66e29bbad3371be2897395e12","observation_id":"babaeef5-e7c5-4f14-87a9-1273c25cc2b5","resolution":{"observed_at":"2026-08-11T12:12:52.832698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.812552Z","title":"Feature extraction by using deep learning: A survey","venue":null,"work_id":"999306e0-b88c-4898-a938-cb4ef817cd17","year":2018},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.305388Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:ea1257a04fd14799445499db45242badfeb89a7833c56380c09e01c617ace27d","observation_id":"4893cc86-cded-4496-b07f-4852bffb45e8","resolution":{"observed_at":"2026-08-11T12:12:52.817509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.796110Z","title":"Feature extraction and classification for eeg signals using wavelet transform and machine learning techniques","venue":null,"work_id":"4793ecf2-ad6e-42f1-9ee3-7ec09dc65c41","year":2015},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.310788Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:f0e9b9b44abc9568802a124f5cab16ae67ff8be91d2f32e14b34b3381c93e6db","observation_id":"ff70c4f9-4726-4f0d-a76e-6503b8528706","resolution":{"observed_at":"2026-08-11T12:12:52.801548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.780515Z","title":"Survey on the research direction of eeg-based signal processing","venue":null,"work_id":"e2845a91-fa77-4f73-b280-7aefad586bb9","year":2023},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.316614Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:1cfa397e7d275229442f5acde04414fe9d9cca20fe5fb90e796eaebb802e2dc6","observation_id":"ea3ee5e9-4e28-4fe4-a3bc-0b4541f4555d","resolution":{"observed_at":"2026-08-11T12:12:52.785683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.764836Z","title":"Feature extraction of epilepsy eeg using discrete wavelet transform","venue":null,"work_id":"8a97cf47-ea0a-4803-83f3-dfa59b18cc6d","year":2016},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.321099Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:5a87873e28d25b7f512876ab2b3e6311a256753dbcf6e7e71de9bb16ec620d4e","observation_id":"87466b56-6831-475d-aecd-e5c29612a231","resolution":{"observed_at":"2026-08-11T12:12:52.769832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.747966Z","title":"Classification of eeg signal using wavelet transform and support vector machine for epileptic seizure diction","venue":null,"work_id":"aabd5b30-e7f5-49ab-9d9e-51f1254bcb9a","year":2010},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.325829Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:4ec0aa56c73b34261fc1b4de5fd926c34b59855824587addd6b46d2601e14722","observation_id":"12b58986-8e7a-4cce-863f-4af7197391b7","resolution":{"observed_at":"2026-08-11T12:12:52.753776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.733021Z","title":"Motor imagery eeg signal classification with a multivariate time series approach","venue":null,"work_id":"ca73e13a-6c6d-4f3b-aee2-a90b325cccdf","year":2023},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.330599Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:15b896c9fb840291187af6778bf6c170a996df353b2e9785dd1557ebcfbbf5e0","observation_id":"5253b160-8467-4b99-8772-7d44b18228c8","resolution":{"observed_at":"2026-08-11T12:12:52.737998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.717091Z","title":"Epileptic seizure detection in long-term eeg recordings by using wavelet-based directed transfer function","venue":null,"work_id":"0c105635-a196-4d92-a1b7-8ba6733a224e","year":2018},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.335195Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:bc697f487e1ca6bcce0aecedd4ce7a1882fde61e50931e46213612e04be92dea","observation_id":"baa02be3-1b14-48eb-bfcd-b2cf6033088f","resolution":{"observed_at":"2026-08-11T12:12:52.723130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.700813Z","title":"Eeg conformer: Convolutional transformer for eeg decoding and visualization","venue":null,"work_id":"55acbe5c-fb48-4c4f-bc59-9bb5b6a38305","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.341091Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:5165eae7f3325d9e4fc9c7d3863cd1401b81e6c2b7b5092a7a7967ff6176bf10","observation_id":"e44beb56-ea5c-4264-bb1b-d456d0c7854a","resolution":{"observed_at":"2026-08-11T12:12:52.705698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.684765Z","title":"A transformer- based approach combining deep learning network and spatial-temporal information for raw eeg classification","venue":null,"work_id":"b3c82fe5-8e6a-4951-9c9e-ef20b4d8bb67","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.346108Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:f13ff42ee2e12eafaed024da9d4589016c548d574ef7b64af74c1ce11e5081b3","observation_id":"5d81e21a-11be-49e5-b1fa-209da319f698","resolution":{"observed_at":"2026-08-11T12:12:52.690452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.668488Z","title":"Tc-net: A transformer capsule network for eeg-based emotion recognition","venue":null,"work_id":"d850b99e-b720-4d19-8f02-ca42b6256b25","year":2023},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.351274Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:f9370bc3d1513dbba0671cba583ded9a2429b96c08bf42a7a4ecffd1491e629c","observation_id":"65cc635b-bf07-4c52-a530-d788fa5262b9","resolution":{"observed_at":"2026-08-11T12:12:52.673589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.653742Z","title":"Epilepsynet: Novel automated detection of epilepsy using transformer model with eeg signals from 121 patient population","venue":null,"work_id":"524ab84f-b2dc-466b-86e3-d62fcf55cbd4","year":2023},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.355806Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:a8f738477bd7fe9f042ada88c09bf244e2d1a2e814dab34a4fc81961e4e945a2","observation_id":"f373a11b-19ed-4761-b216-51acc81e21b9","resolution":{"observed_at":"2026-08-11T12:12:52.658960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.638082Z","title":"A one-dimensional cnn-lstm model for epileptic seizure recognition using eeg signal analysis","venue":null,"work_id":"cd6eedfa-b6ee-491c-ae30-b28724326fff","year":2020},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.360273Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:450d22a515499a99ce3a8cdc25044a3a1d2deda4259a333cb0e3fa43294003b7","observation_id":"dce4e969-9b48-4eb3-acf7-bf0de190c0c1","resolution":{"observed_at":"2026-08-11T12:12:52.643361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.621109Z","title":"A deep learning based model using rnn-lstm for the detection of schizophrenia from eeg data","venue":null,"work_id":"f3009356-121c-4f67-a4aa-8655abc2ef56","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.365066Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:929a7dcf544942de28b5ba0400918d2c6543776841e93aa463c6768fbf2ad5bb","observation_id":"fdd67280-b1e3-43d5-8ec7-6c9e3e7a404d","resolution":{"observed_at":"2026-08-11T12:12:52.626157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.605937Z","title":"Eeg-based emotion recognition via transformer neural architecture search","venue":null,"work_id":"c6df628c-fbf6-4264-86cc-b40de8e5e8f0","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.369680Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:f408661d14f7e7e3e7fd615e80d235f873b0f9e1a22a5d2c7631f434b7642006","observation_id":"fe52ed0c-1337-4ef8-93e5-ea7bcaac9627","resolution":{"observed_at":"2026-08-11T12:12:52.610831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.590589Z","title":"Peeking inside the black-box: a survey on explainable artificial intelligence (xai)","venue":null,"work_id":"1fe1904e-1029-434c-ac9b-b3f341c9b985","year":2018},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.374779Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:298439dd053f7555175258a6dd0aa5e46c23243066aa0f91c51c2ac2ab292a51","observation_id":"9d068b2f-1844-4b3b-8b79-8b8ed4d3a136","resolution":{"observed_at":"2026-08-11T12:12:52.595388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-11T12:12:52.379268Z","title":"Mobilenets: efficient convolutional neural networks for mobile vision applications (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.379268Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:7f5a58ed7f9123d352b8938c7879458f255d8c6b197781bd62e7776325ff12ea","observation_id":"1c61e2cc-62a2-454c-8864-954a877804da","resolution":{"observed_at":"2026-08-11T12:12:52.379268Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.575261Z","title":"Mobilenetv3","venue":null,"work_id":"02635d51-2deb-478e-9b51-12637e80ab9a","year":2021},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.384171Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:e026030819f906811fb6af637622e55fa299c1235d0df41e5b51ad58fad3582e","observation_id":"d6e040d5-97be-4d04-bb39-1100893a0998","resolution":{"observed_at":"2026-08-11T12:12:52.580074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.560355Z","title":"Mobile- former: Bridging mobilenet and transformer","venue":null,"work_id":"4ef16bc2-3622-4a0a-9fc8-a76323c378fd","year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.389031Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:6f247646936c1e63c5071893e0c1bada49e7dc33e9c21a0269e25c1f6b6e1513","observation_id":"9a796f0f-d029-46d5-8c7e-5ed584a26d7a","resolution":{"observed_at":"2026-08-11T12:12:52.565469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.393698Z","title":"Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.393698Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:af20ebc88737f0347ff7392f8159e62f9ff4fd2ad33e9f3e3156a6a3ab85ada1","observation_id":"f1dbfe69-71df-49c5-a2c1-65d78f75089c","resolution":{"observed_at":"2026-08-11T12:12:52.393698Z","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":"2026-08-11T12:12:52.398572Z","title":"Deep learning with convolutional neural networks for eeg decoding and visualization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.398572Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:926313c902261636bddba8681f03bb79b1b52796fb31e3a1b38f4a2de4302915","observation_id":"9c1b19a3-4161-4391-81b5-9c10ec81fcf0","resolution":{"observed_at":"2026-08-11T12:12:52.398572Z","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":"2026-08-11T12:12:52.403329Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.403329Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:75ebbe5dffcd17c35183dc8e79d03f17b171404cdda1c9d41a9ff2b60389c83b","observation_id":"84976e57-37c5-4b12-ace2-e0aa16f5a5f3","resolution":{"observed_at":"2026-08-11T12:12:52.403329Z","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":"2026-08-11T12:12:52.407917Z","title":"Transformer quality in linear time","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.407917Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:4b2fd3192e96143e1b015bda5b133dac566b29c58b95ff9b30f34875dae43397","observation_id":"9be3ad1e-c196-49e7-94a5-f22a7457bd7c","resolution":{"observed_at":"2026-08-11T12:12:52.407917Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.504878Z","title":"Carrier frequency and doa estimation of sub-nyquist sampling multi-band sensor signals","venue":null,"work_id":"3c47ad11-34a1-47bd-82b3-ea18e66cc504","year":2017},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.412655Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:9d5c61d8ad9c57b9546fe74cc05c8243fab5cf671a3b84a027617714369b2f0b","observation_id":"90814d3a-3f6c-462c-b3f7-aa22927646ff","resolution":{"observed_at":"2026-08-11T12:12:52.510132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.488623Z","title":"Graph convolution neural network based end-to-end channel selection and classification for motor imagery brain–computer interfaces","venue":null,"work_id":"fb58d0b8-472e-4008-9fd2-835abaafe0a2","year":2023},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.417566Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:9d6a70e2471bd3091eb53ad084b9b2e9563b479347f0ec3e869d7470c8ca9fc0","observation_id":"7dbe50d4-6915-466c-ae0c-135d53000277","resolution":{"observed_at":"2026-08-11T12:12:52.494202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:12:52.470533Z","title":"Eeg-based pathology detection for home health monitoring","venue":null,"work_id":"1f70a901-b19f-4928-93f4-ee29af07bbfd","year":2020},"citing_paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T12:12:52.422729Z"},"links":{"citing_paper":"/paper/2412.14522"},"observation_digest":"sha256:0ec4f9cd117712843bbf44c8b7d05d614ba002dda12913f71e3f7e5df5223b83","observation_id":"16793b07-d54e-416f-97a4-1adab049a181","resolution":{"observed_at":"2026-08-11T12:12:52.477774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.14522","last_updated":"2024-12-24T00:56:06Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T18:27:47.079940Z","submitted_at":"2024-12-19T04:38:34Z","title":"CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":29},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2412.14522."}