{"as_of":"2026-08-13T05:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85508dde26ce49845113adf94d69e752a93e43abda9368760b3c2ad9fb35f520","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:38:30.209160Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.17833/citation-record","integrity":"/paper/2412.17833/integrity","json":"/paper/2412.17833/citation-record.json","paper":"/paper/2412.17833"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:38:31.566761Z","title":"Progress in brain computer in- terface: Challenges and opportunities,","venue":null,"work_id":"1d881280-aa36-4c12-9b3d-0d35e21ebd78","year":2021},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.704253Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:7d1e13b274f58779f7a786aed653d0fe9fc8d1ee27a94ad39f94819a795f5288","observation_id":"24a21682-ae53-45c5-ac7b-5c4ce77e8eac","resolution":{"observed_at":"2026-08-11T15:38:31.571384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.549850Z","title":"A novel deep learning scheme for motor imagery eeg decoding based on spatial representation fusion,","venue":null,"work_id":"2ee2962a-ca7e-4496-9f5c-95983ef3d131","year":2020},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.710356Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:15bf04c1f56ff395085c39d23a95148011e2ecb62194539fac21bdda80bf5445","observation_id":"565f5e17-98fd-4f73-9e85-d7508e74cf72","resolution":{"observed_at":"2026-08-11T15:38:31.555099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.532766Z","title":"Fuzzy temporal convolutional neural networks in p300-based brain–computer interface for smart home interaction,","venue":null,"work_id":"26d0564a-e27c-4316-833c-072d6d86aee1","year":2022},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.716001Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:df1c71b439bf184022704674f29d118796af20d6268fe1bba3cdd28497d709a1","observation_id":"12a3ea00-6cdc-493f-b71c-71c6633d496e","resolution":{"observed_at":"2026-08-11T15:38:31.537793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.516469Z","title":"Improving speller bci performance using a cluster-based under-sampling method,","venue":null,"work_id":"7128e687-6978-424d-9e8b-a91b6db291c1","year":2020},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.720924Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:6df0a2a484a3e56050fb73392c3f76736dc1c3890e9887f1a0c8635aa4d861e2","observation_id":"c3dfa205-e1d7-4ba4-89e2-a3e0b64cd0bc","resolution":{"observed_at":"2026-08-11T15:38:31.521928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.500593Z","title":"Under-sampling and classification of p300 single-trials using self-organized maps and deep neural networks for a speller bci,","venue":null,"work_id":"3ac8f0c0-827f-492e-aa6d-5a6caff318be","year":2020},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.729836Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:e1e6ccd386d85494006baff2690247e07b6cd54a9b41cbe6666d771094f40f1f","observation_id":"7f0712be-e581-419a-a9d5-08bd8cd98b80","resolution":{"observed_at":"2026-08-11T15:38:31.505883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.484067Z","title":"The application of transfer learning in p300 detection,","venue":null,"work_id":"a2e04bc5-576d-4835-89d5-8fc5a8a92afc","year":2018},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.819694Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:1a86867c252703150401b4819564f34390ef3664505645447d97a524bd1b896a","observation_id":"ef34b540-7408-4abb-bb45-18b32a3a5db6","resolution":{"observed_at":"2026-08-11T15:38:31.489108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.408824Z","title":"Cross- domain mlp and cnn transfer learning for biological signal processing: Eeg and emg,","venue":null,"work_id":"79a78c58-dd4b-446a-b55b-810828943b6a","year":2020},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.866586Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:97dfb91624469e8d0929e4d959e8294e1bab2975e760784cff3135111afab7ef","observation_id":"99dfae93-2e36-462e-8cb6-7ccb1d4e9189","resolution":{"observed_at":"2026-08-11T15:38:31.473164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.307039Z","title":"A deep transfer convolutional neural network framework for eeg signal classification,","venue":null,"work_id":"99e45152-f989-47b4-a94d-f4a9264b4807","year":2019},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.908936Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:59df762fb97bcc3c323a3d9859615897228015e10ac2e9582f248af61dc88715","observation_id":"3be887ae-0b38-4d69-84fc-2a19bfa82439","resolution":{"observed_at":"2026-08-11T15:38:31.351958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.226632Z","title":"Classification and transfer learning of eeg during a kinesthetic motor imagery task using deep convolutional neural networks,","venue":null,"work_id":"15b0aab5-995f-4a73-aa31-a5a7f6a1a4d7","year":2019},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:29.953594Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:eb1eb5db183a642233a0ab196259171ab38e65c7d64ba7ac6f7c31aa0d9a826d","observation_id":"c22b3f31-fc36-4b58-bfd1-c17e2a1773b6","resolution":{"observed_at":"2026-08-11T15:38:31.240120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.209713Z","title":"Adaptive transfer learning for eeg motor imagery classification with deep convolutional neural network,","venue":null,"work_id":"7f585448-73eb-4827-b286-9c734a6f70a5","year":2021},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.107611Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:cf6cfb58f5dc0dbfc343747d9c7ea9358c7c408a53e1f8e0c20d69a7816c8499","observation_id":"d0e7b36f-bf47-4ae7-8b5f-69d02862ea7f","resolution":{"observed_at":"2026-08-11T15:38:31.215144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.193313Z","title":"Accelerating minibatch stochastic gradient descent using stratified sampling,","venue":null,"work_id":"dd8614f3-2c14-44c6-9b7a-70a147a50e3b","year":2014},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.113409Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:1152d05164ab30829d8343e28b6cb4afb449554efdf185184467d6c4650e6fd7","observation_id":"cebb38aa-5d15-4018-ad4a-ba1908d4fb60","resolution":{"observed_at":"2026-08-11T15:38:31.198613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.175140Z","title":"Posterior transfer learning with active sampling,","venue":null,"work_id":"e6af6b94-5fff-4c38-90f3-b5c36a8505a1","year":2020},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.117987Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:57b2fd67627ff25c5908afca6beede5861ca9523208f74f4a0a2fdc4f4a830bc","observation_id":"4085d632-b9d5-4a3c-841a-b038749bd88a","resolution":{"observed_at":"2026-08-11T15:38:31.181663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.158284Z","title":"Imbalanced data classification: Using transfer learning and active sampling,","venue":null,"work_id":"8f16fd29-605e-4f86-b405-9697144ea82e","year":2023},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.122271Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:57ed4d42e8d2d88b1d82ba24906d44d14a94626b18008ac5c0d3528e471a7f86","observation_id":"bad64d49-1c39-4758-8c73-befd9b0a93b2","resolution":{"observed_at":"2026-08-11T15:38:31.164101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.142509Z","title":"Positive-negative momen- tum: Manipulating stochastic gradient noise to improve generalization,","venue":null,"work_id":"f52f5525-5288-4fc0-b635-67bb6bad164d","year":2021},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.126570Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:b0e9dd0b03b3408f395b3dafdca2f3ca0345e765da9c639b65c4c295a9280a85","observation_id":"af7d61a2-4362-4470-80b7-7179f64ea6d5","resolution":{"observed_at":"2026-08-11T15:38:31.147466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.126545Z","title":"Kulesza and B","venue":null,"work_id":"bc8be842-3f72-4ad5-8313-186a4aca62e3","year":2012},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.130636Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:d9d88c5a6928c874090b5ec03a5f5bd5ece63dde054bd2cf044bcea1a8bab46c","observation_id":"79ecbeaf-5fd7-4601-968f-6b11aaa8c536","resolution":{"observed_at":"2026-08-11T15:38:31.131290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.110224Z","title":"k-dpps: Fixed-size determinantal point processes,","venue":null,"work_id":"3f607a69-6cbe-40c8-b1fa-cfb95fba39d6","year":2011},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.135635Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:328d583344213915dc7fe0bfc7629a5a46e8d77a17f8c1a252a300c558121fb1","observation_id":"801e5517-e3a0-4ff7-b02f-40e8858f1020","resolution":{"observed_at":"2026-08-11T15:38:31.115022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:31.094049Z","title":"Determinantal point processes for machine learning,","venue":null,"work_id":"1cd11e2d-b0e5-44da-8110-38a3cc5496dc","year":2012},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.139824Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:f9c386590892b0e8b7a26588856d2ca3864de41896b97734a2cc10763455c0cc","observation_id":"b117131f-31ef-4670-8435-a5dcd722fb5d","resolution":{"observed_at":"2026-08-11T15:38:31.099258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.05954","last_updated":"2019-01-17T18:56:50Z","snapshot_observed_at":"2026-07-06T07:27:23.918977Z","submitted_at":"2019-01-17T18:56:50Z","title":"Diverse mini-batch Active Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.05954","snapshot_observed_at":"2026-08-11T15:38:30.144158Z","title":"Diverse mini-batch active learning,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.144158Z"},"links":{"cited_paper":"/paper/1901.05954","citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:e464eb9de4033ad000d08dd26bd50aee76f910f459e74d2863e2c9210be0d5fc","observation_id":"8666f203-a1b5-4ac1-b490-d3586399b944","resolution":{"observed_at":"2026-08-11T15:38:30.144158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.00607","last_updated":"2017-08-23T23:34:28Z","snapshot_observed_at":"2026-08-08T16:39:01.454436Z","submitted_at":"2017-05-01T17:53:51Z","title":"Determinantal Point Processes for Mini-Batch Diversification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.00607","snapshot_observed_at":"2026-08-11T15:38:30.149304Z","title":"Stochastic learning on im- balanced data: Determinantal point processes for mini-batch diversifica- tion,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.149304Z"},"links":{"cited_paper":"/paper/1705.00607","citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:a8e485cd78cace72c3b12ca4bdb016298f4f52914d50dac9392b939514a8992c","observation_id":"f306f8f5-4c6e-43ed-a04f-4c15e199870a","resolution":{"observed_at":"2026-08-11T15:38:30.149304Z","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":"2026-08-11T15:38:31.005685Z","title":"Active mini-batch sampling using repulsive point processes,","venue":null,"work_id":"bfded41b-de88-42c9-a420-cf176fff2b21","year":2019},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.154557Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:ac0b088286866ef58bf1f50aa124a32af038db789b83d7b178acd47195dcc9bb","observation_id":"0d3abff9-bfb5-4a24-a15e-72909d99b797","resolution":{"observed_at":"2026-08-11T15:38:31.082658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.859087Z","title":"A comparison of methods for generating poisson disk distributions,","venue":null,"work_id":"705c776a-6d03-41a9-be02-a1b4a2236d17","year":2008},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.159744Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:9948398278130bb96449a1720842f067668b32c55d2f4084fcdd790ff3d4636c","observation_id":"e00c5114-1ab1-497c-8731-832512972d19","resolution":{"observed_at":"2026-08-11T15:38:30.905875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.754098Z","title":"An efficient p300-based brain–computer interface for disabled subjects,","venue":null,"work_id":"765b5837-595f-4546-af0e-7c8a95cfa633","year":2008},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.164699Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:47a02e1b5b031c3ecc5674bc65cc39739e7a70905599bdb37ec95b5b4e316c85","observation_id":"45f1ce1d-f11c-4750-8beb-3cf0f00d9001","resolution":{"observed_at":"2026-08-11T15:38:30.780659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.737992Z","title":"Perfor- mance evaluation of a p300 brain-computer interface using a kernel extreme learning machine classifier,","venue":null,"work_id":"50609a6d-ddc3-460c-a877-f0c6730c714e","year":2018},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.169209Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:a4a905a238fa8c026511b0b28bf6db706ae776b85a36932b4117d4edc7741c2f","observation_id":"18ee412e-355f-4f09-b322-f8df6c26cb0b","resolution":{"observed_at":"2026-08-11T15:38:30.743453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.720854Z","title":"Deep learning techniques for eeg signal applications–a review,","venue":null,"work_id":"e793f095-3880-447e-8fbd-95958ab79d13","year":2022},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.174465Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:ed9f2e22f6b4f99424da3252d6d521b05ea8a274d5ca4f3fb5d0375c9c81839b","observation_id":"91c05001-bc29-43cc-b68f-f9351e1e519c","resolution":{"observed_at":"2026-08-11T15:38:30.726769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.703113Z","title":"Brain–computer interfaces for communication and control,","venue":null,"work_id":"02709a63-4142-40ba-9c7e-b01bbdc1cc03","year":2002},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.179523Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:11df6d9902b6447ea26f06efffce948ae4e55057b6acd3dbcbbe821cc04e3b79","observation_id":"b306602f-2a3a-4834-ad5c-99a6b6ca7458","resolution":{"observed_at":"2026-08-11T15:38:30.709311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.684641Z","title":"A gentle introduction and survey on computing with words (cww) methodologies,","venue":null,"work_id":"3e759789-564d-4f11-9769-56c1a662b543","year":2022},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.184774Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:f2d59bdfe56bb9f545e7dd9b47aa37b034c97228333ff62f4c6313a5bf78fa0a","observation_id":"d852b39c-95c2-4548-97f3-3d5fb397ba0a","resolution":{"observed_at":"2026-08-11T15:38:30.690370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.667309Z","title":"Towards understanding human functional brain development with explainable artificial intelligence: Challenges and perspectives,","venue":null,"work_id":"9b618200-7d5f-4cda-89e6-36814ec55d01","year":2022},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.189315Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:ba49cf86360656c18508d53ec027aabbb774b2213b3cc6a53527669553e6ba56","observation_id":"49df714c-480c-49a7-9872-3622dce626a8","resolution":{"observed_at":"2026-08-11T15:38:30.672357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.650538Z","title":"Real time recognition of human activities from wearable sensors by evolving classifiers,","venue":null,"work_id":"0a5769b9-c7dc-4914-9e8b-061385ce9c98","year":2011},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.193866Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:a504b20486c8f082b793af72731f7cb053ea72a5b1a231bb76db1a8ec97826f6","observation_id":"0bdd9823-f38d-4148-8ed3-3aa54e7b18ce","resolution":{"observed_at":"2026-08-11T15:38:30.656343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.539402Z","title":"Effective brain connectivity for fnirs with fuzzy cog- nitive maps in neuroergonomics,","venue":null,"work_id":"b50e6a8f-5ec2-4e4b-a7d2-42177dedb5ba","year":2019},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.199060Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:c126d83813b3999a8621587446806b430edfd5c9aed83623976070faefac287f","observation_id":"b635ca6c-39af-4b45-b056-355970f5f116","resolution":{"observed_at":"2026-08-11T15:38:30.606828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.420855Z","title":"Deep learning towards intelligent vehicle fault diagnosis,","venue":null,"work_id":"0a17c88b-a406-4340-b749-b61ce84acc2f","year":2020},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.204065Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:d44fa3574452bb3e203d3f697e3a34afac7f44af2c8d692bc26d47c3573dd804","observation_id":"4d44eab8-505e-465b-bc20-cc5f3a4bbd5d","resolution":{"observed_at":"2026-08-11T15:38:30.487687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T15:38:30.281506Z","title":"Single-trial recognition of video gamer’s expertise from brain haemodynamic and facial emotion re- sponses,","venue":null,"work_id":"9c1a62eb-ddaa-4fd4-ab66-96557b491bf1","year":2021},"citing_paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:30.209160Z"},"links":{"citing_paper":"/paper/2412.17833"},"observation_digest":"sha256:fa0ea815b7618ee403c29bae7c6902e365f4feb5601c675d50e7694c9de9aadd","observation_id":"f2229d66-af3b-4392-b2b8-82fd3a7f56a1","resolution":{"observed_at":"2026-08-11T15:38:30.376944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.17833","last_updated":"2024-12-14T14:20:21Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-11T15:31:58.118332Z","submitted_at":"2024-12-14T14:20:21Z","title":"Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":31},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.17833."}