{"as_of":"2026-08-16T14:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0bdf7ac91c778a44b538367ce0492f6ada1c399bcf02c4ecca91130b6e0c94cd","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:53:51.305241Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.02252/citation-record","integrity":"/paper/1908.02252/integrity","json":"/paper/1908.02252/citation-record.json","paper":"/paper/1908.02252"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:53:51.862089Z","title":"Effects of mental workload and fatigue on the p300, alpha and theta band power during operation of an erp (p300) brain–computer interface,","venue":null,"work_id":"509b5d60-4151-4ae6-bdbf-b06e5ebfe45c","year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.165851Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:2cc8ca827e705b7996fc80d8ef54f207e6d17d6275df0e4dc85ee82885325c5b","observation_id":"ccd77698-2dca-41c5-a45d-87c2683e4470","resolution":{"observed_at":"2026-08-14T14:53:51.865470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.853819Z","title":"Brain computer interfacing: Applications and challenges,","venue":null,"work_id":"fce8a38e-021f-4314-8e20-3f4f5d0e2490","year":2015},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.169732Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:9061006f1dc0273350e08e7609c34839a997da82e6eb29ce87c41ee553d10149","observation_id":"8ac86e1d-8e17-47f7-ac3a-fd270cda0e4b","resolution":{"observed_at":"2026-08-14T14:53:51.857070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.845828Z","title":"Brain–computer interfaces in neurological rehabilitation,","venue":null,"work_id":"1b782afc-de9f-495c-99d4-86cbbbc41c97","year":2008},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.172906Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:ba30719ef98936ff47f9fa1d08bc6acb887d0163b613747d03c0d5eed5a2c80e","observation_id":"713399cf-5c4d-4f81-bcd1-a3fa432d790d","resolution":{"observed_at":"2026-08-14T14:53:51.848796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.837386Z","title":"Brain–computer interfaces for communication and control,","venue":null,"work_id":"300de8f6-924d-46bc-9ab6-bbbb9a6adc09","year":2002},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.176191Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:2e2da1f48e5fa00e1a1d8ea121f865dfbd5e1b55c42e6e020467d25a1031c5e8","observation_id":"99791134-3d60-4cc1-a652-ec778d425442","resolution":{"observed_at":"2026-08-14T14:53:51.840513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.828784Z","title":"Event related desynchronization-modulated functional elec- trical stimulation system for stroke rehabilitation: a feasibility study,","venue":null,"work_id":"e0286699-9b31-4cd8-8a2e-44a51f378f88","year":2012},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.179597Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:70e623a3b2957a9e6814f0f68abb9ba565e3bf0a1ae6e9249e59b365f5b758ea","observation_id":"57face64-a44d-4535-b961-c3fd108bced0","resolution":{"observed_at":"2026-08-14T14:53:51.832102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.820094Z","title":"Neuronal ensemble control of prosthetic devices by a human with tetraplegia,","venue":null,"work_id":"9e32c17c-fe8e-4958-a393-1474591d966a","year":2006},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.182824Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:abaa48e630cab1a890801a45af24236cfde4dfc9a8a929edd369fb6ce3c685e0","observation_id":"48048b72-3bec-47f3-bb99-1a6187ca1e4d","resolution":{"observed_at":"2026-08-14T14:53:51.823606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.811362Z","title":"Current trends in graz brain-computer interface (bci) research,","venue":null,"work_id":"a56f870f-57a2-40bd-8de0-d26d35495960","year":2000},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.186090Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:faf9e9fd3ca4393d44da059c14e7951802efe51d75c8c13c694716270e4447a2","observation_id":"d7754b0d-bbe7-40ab-8f76-c4d980d93e08","resolution":{"observed_at":"2026-08-14T14:53:51.814513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.802895Z","title":"An approach to improve the per- formance of subject-independent bcis-based on motor imagery allocating subjects by gender,","venue":null,"work_id":"a1be55da-056d-4ed6-aba7-5e90d6592d45","year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.189087Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:cfe8c34e8c99947268aa8749f641847629a0976d8ab8e9996413c7587d3a6644","observation_id":"a28ca703-654d-4c97-bde4-d5a725e58f1d","resolution":{"observed_at":"2026-08-14T14:53:51.806053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.794207Z","title":"Comparison of designs towards a subject-independent brain-computer interface based on motor imagery,","venue":null,"work_id":"7ae42074-4b8b-47ff-9895-d1ce3d714467","year":2009},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.191849Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:26554d29181843f38203f31144d2e0c2a20f11091a536c6d8016ffbc7b7b8b87","observation_id":"dc9327b0-a255-4f40-a7ed-2fe21f1edd6a","resolution":{"observed_at":"2026-08-14T14:53:51.797496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.785128Z","title":"Comprehensive common spatial patterns with temporal structure information of EEG data: minimizing nontask re- lated EEG component,","venue":null,"work_id":"bfda9d09-4979-4d11-85e7-5561facebe12","year":2012},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.195408Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:c3d704c78bc7a71a97558e933524a6f260b1181222bbc90b46d77245bd2bb7f6","observation_id":"9dc0f135-4602-4946-8de2-4b27ed159af4","resolution":{"observed_at":"2026-08-14T14:53:51.788937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.774859Z","title":"Comparison of classiﬁers and statistical analysis for EEG signals used in brain computer interface motor task paradigm,","venue":null,"work_id":"484e6094-3c26-4114-86c1-ba21adfc006d","year":2015},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.198335Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:39239e04fb21b2dc1a513602a349ae419059f973f9895b186e729e84c90d610e","observation_id":"6dfe2dbb-a5eb-4ac4-8026-d0126293d191","resolution":{"observed_at":"2026-08-14T14:53:51.778159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.765849Z","title":"Rough set-based classiﬁcation of EEG signals related to real and imagery motion,","venue":null,"work_id":"330fe3d6-15ee-43d7-83c2-d17ffb4121d0","year":2016},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.201629Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:ef7ce9bbbf13c551797a61e83252b3f566aad8b954847c2c9f064c96be1f1a10","observation_id":"c07027e1-af39-4c48-bf2d-4d93aad3451c","resolution":{"observed_at":"2026-08-14T14:53:51.769026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.757608Z","title":"Comparison of classiﬁcation ,ethods for EEG signals of real and imaginary motion,","venue":null,"work_id":"fd3cebd4-09be-4711-b584-9efc6d56c218","year":2018},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.204434Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:5aba8ac1c9e194c665ddbc934b071bdc452c488d55acf51e1dc013fff8c3e72f","observation_id":"9c9fd6b2-c879-4d4f-890b-dd7ea09cc20e","resolution":{"observed_at":"2026-08-14T14:53:51.760777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.749002Z","title":"Real and imaginary motion classiﬁcation based on rough set analysis of EEG signals for multimedia applications,","venue":null,"work_id":"00031073-e459-4e57-9f20-369effcfcfff","year":2017},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.207404Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:d007961289ed258e203a143afe35ca6e12ae06fea133caebfc747471616bce44","observation_id":"cb19ea90-c621-40f9-a1c1-872c5b838311","resolution":{"observed_at":"2026-08-14T14:53:51.752330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.740771Z","title":"Discrimi- nation of EEG-based motor imagery tasks by means of a simple phase information method,","venue":null,"work_id":"3a763e65-0da3-4bc2-8d07-e38df5a69f39","year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.209850Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:eb7f72360b13780a167c61e4a42fea43304adc39cf6c00475956aee308ddc83e","observation_id":"3b26d438-7016-4f44-ac45-e4a20dfd81c2","resolution":{"observed_at":"2026-08-14T14:53:51.744026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.732249Z","title":"Classiﬁcation of left/right hand movement EEG signals using event related potentials and advanced features,","venue":null,"work_id":"e770d803-1a6a-407b-a617-70a149f10aa8","year":2017},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.212173Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:e7b761d050e9ace8ed50ccfbd452a19e3defd51f688ba59a4b74a0f92b704177","observation_id":"1ccf825b-f861-449d-872d-d35d52beaa15","resolution":{"observed_at":"2026-08-14T14:53:51.735459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.723557Z","title":"Logistic regression for single trial EEG classiﬁcation,","venue":null,"work_id":"d3010c05-d7d5-4ade-9b20-8d75d5a981c5","year":2007},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.214477Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:8d15144da0f75dab82c8007a3f064d6860517b706be103dc03da424cf50051c8","observation_id":"9de3ea16-2dce-4966-9f18-c81d825956f1","resolution":{"observed_at":"2026-08-14T14:53:51.726612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.715076Z","title":"Performance analysis of left/right hand movement classiﬁcation from EEG signal by intelligent algorithms,","venue":null,"work_id":"f89b6eb0-3b35-4876-a8a0-3c799bd42a8a","year":2011},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.216898Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:137c507e81bd9ada92318076e2483b8da735398c064903251e5ed9f702d4e492","observation_id":"e0a267c7-36c5-4973-8444-b011e1aadd46","resolution":{"observed_at":"2026-08-14T14:53:51.718292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.707001Z","title":"Single-trial EEG classiﬁcation of motor imagery using deep convolutional neural networks,","venue":null,"work_id":"59cf04d3-e85e-4d39-976d-332615f540a9","year":2017},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.219260Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:7fdb605913aa1fde9f6c125858da94752827c8a3984fc6d9e1e2c175699074f8","observation_id":"9552145f-6621-41c5-88f3-0a3781f381c6","resolution":{"observed_at":"2026-08-14T14:53:51.710108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.698594Z","title":"A novel deep learning approach for classi- ﬁcation of eeg motor imagery signals,","venue":null,"work_id":"ba4a9353-2e6e-460f-af96-fd1895c81628","year":2016},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.221703Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:a475a70dd7f7bff91b32cd42cda8f9379f54d2f9f01368e10f7d2edf1ef79a1e","observation_id":"8404debe-9f54-4b8d-8b94-ab60f4bf742c","resolution":{"observed_at":"2026-08-14T14:53:51.701897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.690277Z","title":"Lstm-based EEG classiﬁcation in motor imagery tasks,","venue":null,"work_id":"6b9e5fb0-c9e5-40ad-a7f3-08215ced2119","year":2018},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.224179Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:d040cd5b4c117a9bcb73570c10e9fb3b1acf4dfa2a83e28416bd0405b808543f","observation_id":"beb97944-9cbb-4ba7-8358-54678ee80504","resolution":{"observed_at":"2026-08-14T14:53:51.693491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.06578","last_updated":"2021-06-10T14:42:54Z","snapshot_observed_at":"2026-08-14T20:39:59.159991Z","submitted_at":"2017-08-22T12:21:21Z","title":"Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.06578","snapshot_observed_at":"2026-08-14T14:53:51.227016Z","title":"Eeg- based intention recognition from spatio-temporal representations via cascade and parallel convolutional recurrent neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.227016Z"},"links":{"cited_paper":"/paper/1708.06578","citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:ddf55cb0fb2e65cef821fc06d068371ec02ce117f5e21d3b83e70547c35c5b97","observation_id":"044eaefa-c84f-4817-90ff-8993ec510213","resolution":{"observed_at":"2026-08-14T14:53:51.227016Z","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":"2026-08-14T14:53:51.680516Z","title":"EEG-based emotion recognition in music listening,","venue":null,"work_id":"f7968862-7cbe-4f97-8992-29fd90d63e80","year":2010},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.230334Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:898dc6645823dfba48f92bf58f9856e92b95d358a483214e1b079154cb1dcf28","observation_id":"8a649d2b-9e7f-4ba5-9726-608f7ea1eeb1","resolution":{"observed_at":"2026-08-14T14:53:51.684552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.2877","last_updated":"2013-12-10T17:04:18Z","snapshot_observed_at":"2026-08-14T23:52:10.938578Z","submitted_at":"2013-12-10T17:04:18Z","title":"Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning","version":1},"cited_work":{"arxiv_id":"1312.2877","doi":null,"metadata_source":"pith","pith_arxiv_id":"1312.2877","snapshot_observed_at":"2026-08-14T14:53:51.346570Z","title":"Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning","venue":"cs.NE","work_id":"9b9461ee-130b-42a7-9b20-aa6d4011aace","year":2013},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.233075Z"},"links":{"cited_paper":"/paper/1312.2877","citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:f3f3b96870705270014bea9b55a4630b40d4430ea5b9dce5ded7b50c77a28bfc","observation_id":"90a9f407-4f4f-44c2-b4db-05ff0c819076","resolution":{"observed_at":"2026-08-14T14:53:51.459677Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.671770Z","title":"A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals,","venue":null,"work_id":"6fa10f66-723d-4dcf-a493-e01dcbacb266","year":2018},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.236454Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:d2c2ff60742f63ef8f183fc84a5fd00c6b87e9e7923697181fcf6a31a6ba42dd","observation_id":"890ab4a6-18c2-40f0-9b58-2722c39beced","resolution":{"observed_at":"2026-08-14T14:53:51.675117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.662930Z","title":"Attention- based bidirectional long short-term memory networks for relation clas- siﬁcation,","venue":null,"work_id":"76a8c029-f032-4d8d-a42e-0834f9d7b98e","year":2016},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.239340Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:92668e3c962bfc903458381919feda7352c3481845ce96470549065f41c7320f","observation_id":"59e61fab-f8a6-401d-8387-f70de55f7130","resolution":{"observed_at":"2026-08-14T14:53:51.666433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.653413Z","title":"Attention-based lstm for aspect- level sentiment classiﬁcation,","venue":null,"work_id":"5d6a8715-4903-4d79-8e42-7b04767b5d80","year":2016},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.242316Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:e93e59fba656bfd3c02b7fe75f11961c30719ef54c18c6c2cff6f3b2fea6a046","observation_id":"3c8e30f0-bbbf-40a7-b579-e007f6158e5f","resolution":{"observed_at":"2026-08-14T14:53:51.656736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.00019","last_updated":"2015-10-17T05:06:11Z","snapshot_observed_at":"2026-08-14T22:46:30.846767Z","submitted_at":"2015-05-29T20:16:51Z","title":"A Critical Review of Recurrent Neural Networks for Sequence Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.00019","snapshot_observed_at":"2026-08-14T14:53:51.245340Z","title":"A critical review of recurrent neural networks for sequence learning,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.245340Z"},"links":{"cited_paper":"/paper/1506.00019","citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:1c61af80579ad103d4589dcf9fa21f46b750b1b365e4fbd715e157a7528006dd","observation_id":"1ba79cb5-2179-4eea-ab5c-95a27dd5028e","resolution":{"observed_at":"2026-08-14T14:53:51.245340Z","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":"2026-08-14T14:53:51.644621Z","title":"Lstm: A search space odyssey,","venue":null,"work_id":"872170a7-eaac-4b65-9eaf-d8e5877803eb","year":2017},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.248496Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:1a4021a647f027332799cacf0c3868fc4d28664c5c4b2ec4704db7373c9ff413","observation_id":"ba3f89cb-3a5e-4804-ab97-ccc9cfaa8a97","resolution":{"observed_at":"2026-08-14T14:53:51.647771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.632440Z","title":"Bci2000: a general-purpose brain-computer interface (BCI) system,","venue":null,"work_id":"bc88933f-3027-4c78-b793-7cc15c36de59","year":2004},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.251323Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:0efcf661960b56209125454bcd6c29179455c1bb9bd16286ec4b7c0af0422382","observation_id":"696b9207-a3eb-4ebd-9ca5-5f052560ea20","resolution":{"observed_at":"2026-08-14T14:53:51.635740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.622707Z","title":"Physionet: components of a new research resource for complex physiologic signals,","venue":null,"work_id":"5edf62f4-ac59-49da-9b3b-84faa1e9da37","year":null},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.254229Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:ba6edce58ca7dda45f228f291096f6561f463249fa7b449e350b41e534d66909","observation_id":"962d6aa5-e7f9-4642-b778-94a2f0b9d96b","resolution":{"observed_at":"2026-08-14T14:53:51.626544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T14:53:51.257199Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.257199Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:d0b7f66b0a086e4a1ca2d615cb1c1654d153b5fb7872c478fa103aed68a1acaa","observation_id":"85599e9c-99cd-4a7d-afd2-6617ebd7844d","resolution":{"observed_at":"2026-08-14T14:53:51.257199Z","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":"2026-08-14T14:53:51.612737Z","title":"Decision tree structure based classiﬁ- cation of eeg signals recorded during two dimensional cursor movement imagery,","venue":null,"work_id":"c9477c2c-80fd-4532-aa07-efd3501ca953","year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.260200Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:c7ffdf4ca754a7788d2cfe1383b7ef452f5acc6ce2faceac137836f216216609","observation_id":"5863877a-4fc7-433e-b403-55e1d92d2a3b","resolution":{"observed_at":"2026-08-14T14:53:51.616217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.603482Z","title":"Random forest and ﬁlter bank common spatial patterns for eeg-based motor imagery classiﬁcation,","venue":null,"work_id":"52a5b704-cfe1-4d3b-ba01-1c6b20fc4d4f","year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.262953Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:e246ab31480c5bb01b3008202ee45293112bffbd2a8e07bf2cb71b8ec7449fd1","observation_id":"694b7dfa-def4-4740-8355-b67337946f71","resolution":{"observed_at":"2026-08-14T14:53:51.607042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.594638Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":"895347dc-4400-4c3c-8876-4a790a9c428d","year":2009},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.265581Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:906bda599611380b2e02cfabf5de698b9c82eba15974cc7cefa7cf0dfea7dc84","observation_id":"4a9c7a10-2708-492c-9867-cff70ad11b53","resolution":{"observed_at":"2026-08-14T14:53:51.597925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.268931Z","title":"Random forests,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.268931Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:340a474ec13ec72a90db5a1278d1af9e0369e432bc630ae241496876acb661c3","observation_id":"d512cf16-e4de-455b-9771-d181fece6d22","resolution":{"observed_at":"2026-08-14T14:53:51.268931Z","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":"2026-08-14T14:53:51.579854Z","title":"An extensive empirical study of feature selection metrics for text classiﬁcation,","venue":null,"work_id":"b31bd1b4-6a1a-40aa-8fe1-03c039b53038","year":2003},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.271503Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:fa8e46b8b00f2f42dc40142bb644856fe2174d695274f44c1cacc827eeb20bd3","observation_id":"482bf57c-f9b6-4ea4-8a07-9bada1985853","resolution":{"observed_at":"2026-08-14T14:53:51.583354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.570704Z","title":"Exploring large virtual environments by thoughts using a brain–computer interface based on motor imagery and high-level commands,","venue":null,"work_id":"91b162e2-3625-4c84-b996-6e8fd88e8f1f","year":2010},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.274426Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:0aabfe49bfb5ba128e22b7f81dbee0ba4aee20af79d5cdb7b1820d547d97c102","observation_id":"b03c603c-e2d9-4d2f-aa6f-a28c3db263f3","resolution":{"observed_at":"2026-08-14T14:53:51.574163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.561691Z","title":"A direct demonstration of functional specialization in human visual cortex,","venue":null,"work_id":"677eba36-a269-4159-b2e0-9dc21c006f1e","year":1991},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.277193Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:f13d23562e4977e4461a6b377958162c2bf61edd657e718b286a9a0a64408fed","observation_id":"7fcbfd1a-d680-4ff9-94b2-237a5e6fd567","resolution":{"observed_at":"2026-08-14T14:53:51.565164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.280056Z","title":"Two visual systems re-viewed,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.280056Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:56aa6b1d914d3480be5e18ac920b18f6b95fce2a3547572a7344dbe57dca86ef","observation_id":"77d12fc3-ae28-4653-b8b9-5eee598b73ac","resolution":{"observed_at":"2026-08-14T14:53:51.280056Z","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":"2026-08-14T14:53:51.548017Z","title":"Visual ﬁeld maps in human cortex,","venue":null,"work_id":"c6cfe7e8-52d6-440d-ad15-7787414857f0","year":2007},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.282801Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:4d2073f8b314a2afe71e5238143f9446171a8f301896d4d96e8763a61f34e4ba","observation_id":"8b568d45-27fd-4aab-b50d-686db566650a","resolution":{"observed_at":"2026-08-14T14:53:51.551281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.538933Z","title":"The mental prosthesis: assessing the speed of a p300-based brain-computer interface,","venue":null,"work_id":"c9a1d4e6-6b32-4d0f-990a-585d43f247d1","year":2000},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.285567Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:6f971d4d9dff3a2cbec576cedb70fdbe29ca71331604ad197fd7f30df7a18978","observation_id":"869d9626-9b51-44ee-abc6-c51740e8c0d6","resolution":{"observed_at":"2026-08-14T14:53:51.542344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.530099Z","title":"On the usability of electroencephalographic signals for biometric recognition: A survey,","venue":null,"work_id":"4125057e-aab0-497d-9ecf-211dbdcb4341","year":2017},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.288177Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:f1b9a4015d363d1ccd8f5afc49b2f951514ec1c78bb3485b95e1db5bb0ffb809","observation_id":"f8c8297a-00a1-4f71-94b9-e87e72a804e0","resolution":{"observed_at":"2026-08-14T14:53:51.533487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.520693Z","title":"Factors inﬂuencing the latency of simple reaction time,","venue":null,"work_id":"c44eb18b-67f1-487e-a33f-b655b4e1c348","year":2015},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.291211Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:819476930ae63d1c1a0575678dd755d6071d8eb53b4d2b8204f997d5df388b21","observation_id":"38dd0da7-70e8-48ca-9d41-1bb2b976bc1c","resolution":{"observed_at":"2026-08-14T14:53:51.524422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.510833Z","title":"Separate visual pathways for perception and action,","venue":null,"work_id":"4a7e7496-31a5-442f-9cf6-687927e56369","year":1992},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.294051Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:aeab20ff1ed614cf7d277d9a1eebdf23ba51f7700ce11813a93b6fb884caae6f","observation_id":"2abee261-6d21-4a16-ada5-8e20f2e72c3c","resolution":{"observed_at":"2026-08-14T14:53:51.514021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.501576Z","title":"Bottom-up visual integration in the medial parietal lobe,","venue":null,"work_id":"31f726ac-50ec-45e0-8c08-2d463deb50f9","year":2014},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.296792Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:103ccf696afba970036ee77887c1ba5121c92dc54ae10225d79e5b87c834d288","observation_id":"411b61df-764a-42b8-a4d3-52b370c914c7","resolution":{"observed_at":"2026-08-14T14:53:51.504992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.492422Z","title":"Motor functions of the parietal lobe,","venue":null,"work_id":"c72a2e65-4f43-472c-b251-6b1e9f1c604c","year":2005},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.299641Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:6c80138d110307ca3f3e8b386efff18965802f6b5303a8cd93d41671cf33cfe7","observation_id":"70a21cc8-edb3-48e7-95b6-5a8176665de9","resolution":{"observed_at":"2026-08-14T14:53:51.495815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.483202Z","title":"Motor areas in the frontal lobe of the primate,","venue":null,"work_id":"8001cbf5-6744-44f6-a037-1de14c0e86b8","year":2002},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.302539Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:ceed54ce8a7c20d58b8d0a1f50c42d8982eba1e76551bea072bc58676659b400","observation_id":"23a9dc3a-2aa2-4efd-9df4-1cb14b01be8f","resolution":{"observed_at":"2026-08-14T14:53:51.486610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:53:51.474048Z","title":"Wgan domain adap- tation for eeg-based emotion recognition,","venue":null,"work_id":"d27ef9b1-fd4b-4590-9599-6e6aa737f4be","year":2018},"citing_paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T14:53:51.305241Z"},"links":{"citing_paper":"/paper/1908.02252"},"observation_digest":"sha256:9f9b1abdee688469d9f5e0bd0ae33eccd9db2756769c394d9472640949aaecc3","observation_id":"d10d4157-ae93-4a73-84b3-2b3b1a375ac1","resolution":{"observed_at":"2026-08-14T14:53:51.477378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02252","last_updated":"2019-10-31T09:59:28Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T14:47:10.687136Z","submitted_at":"2019-08-06T16:42:46Z","title":"Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":43},"total_outbound_references":49},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:1908.02252."}