{"as_of":"2026-08-03T23:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e0ab946775eacfd6df4e36ae4d1ce3321b1c2eee22c45bcb0c29026d32b28b9","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T06:16:51.199802Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-03T06:30:56.289259+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/2605.12408/citation-record","integrity":"/paper/2605.12408/integrity","json":"/paper/2605.12408/citation-record.json","paper":"/paper/2605.12408"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An EEG- based brain-computer interface for cursor control","venue":null,"work_id":"d6e68cf7-ac81-4cdb-9610-eaf4a84b1878","year":1991},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:96fd8dbb8f5b58593379249fc41a9fce41ac0fb97f20067ce44fc4e54ae94ced","observation_id":"c5c3b5a6-50d8-44a7-99ed-2537797edd64","resolution":{"observed_at":"2026-05-25T06:20:25.620640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Review on motor imagery based BCI systems for upper limb post-stroke neurore- habilitation: From designing to application","venue":null,"work_id":"94f1377e-22b3-4ff3-9fcf-87172f57e647","year":2020},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:32371f654aae99df15154b19a787bd3cc5bc04a2151c39f75cf87a046391f78c","observation_id":"83d975f7-84ad-48b6-97c9-a6f6608e5eb2","resolution":{"observed_at":"2026-05-25T06:20:25.667855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Five-class motor imagery BCI classification and its application to brain-controlled wheelchairs","venue":null,"work_id":"8407f10f-bb1f-49e2-9f42-0880b13cd925","year":2026},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:4f980300f6c5f5a71042da4320d403238d66b232feb1da5c5cc07283d55473ac","observation_id":"b2f63a0a-49d8-4180-b06f-af2b50038c19","resolution":{"observed_at":"2026-05-25T06:20:25.702121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Adaptable Neuro- physiological Biometric Authentication System and Method","venue":null,"work_id":"2f702830-516a-4b61-8b72-c34073e110a8","year":2025},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:f7768d4ca6bdbe52edec6d0e47aad1d2464e176ef5d9f74e154f907e85901f60","observation_id":"9fdc8dcf-238a-48b2-b4ee-4d13cca741f1","resolution":{"observed_at":"2026-05-25T06:20:25.705640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"A comprehen- sive review of EEG-based brain-computer interface paradigms","venue":null,"work_id":"854516d6-b377-4ca4-b92e-08341b672df3","year":2019},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:2abbdb7849bf178cbb9faa4101a1c05fca7fa39903cc7667ea4054900c6b0721","observation_id":"d96e9567-ab1f-485e-a182-361e3e3e2c58","resolution":{"observed_at":"2026-05-25T06:20:25.593927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals","venue":null,"work_id":"ac76fbc9-045b-46d2-9853-97a73f9016e5","year":2007},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:2aa7c007ad7967ead8070baa88133bd42726edac2063f1c9ab89d3d496becd8b","observation_id":"ba6cc6fd-3398-4261-a0ca-e09970a0d703","resolution":{"observed_at":"2026-05-25T06:20:25.590046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Review of challenges associated with the EEG artifact removal methods","venue":null,"work_id":"9c1f377f-c992-41e0-a1be-8118bcf57c12","year":2021},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:292c693f71fd535c36320e3fb8247e4f7888efcffb86bdedd7cb895054468518","observation_id":"7c1ce55d-d4e9-4034-aeba-02423f74eb27","resolution":{"observed_at":"2026-05-25T06:20:25.609183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Improved Riemannian potato field: An automatic artifact rejection method for EEG","venue":null,"work_id":"e9b2f750-8d72-4f17-8b1f-7b71feff76fa","year":2026},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:3c87817e958e13a74f641c6e38b461b4bec3b3ecc8a942392b9003d56f3f89f3","observation_id":"7c07c751-62dc-45b1-b7de-1852109644e9","resolution":{"observed_at":"2026-05-25T06:20:25.616621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Methods for artifact detection and removal from scalp EEG: A review","venue":null,"work_id":"83e91531-d5bb-452d-aa4e-220460543347","year":2016},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:9bfa53c21a0368d55ccaf0c92e3b69135eb2cd9016decf66f4b25aad3e27af7c","observation_id":"7ed85567-d5a2-4e4c-ab02-2b674cf4c3be","resolution":{"observed_at":"2026-05-25T06:20:25.709288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Removal of artifacts from EEG signals: a review","venue":null,"work_id":"da0fa24b-3acf-469a-a459-8e56aad8c0ad","year":2019},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:2a7de23a82f4822d98600ff24cff151a0be8a75802d5d2e7270069432bd36425","observation_id":"35f76b9b-ecfe-4045-bcea-302a3673234e","resolution":{"observed_at":"2026-05-25T06:20:25.698213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Investigating effects of different artefact types on motor imagery BCI","venue":null,"work_id":"b75fb488-c571-4a2c-8dcc-aab14f87258b","year":2015},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:4767bd35b86f8e318dc58db60758d57a3dd5251a88fd899f02d75a87324cd1ee","observation_id":"088e594f-638b-49eb-9e11-e5a7c0a2beae","resolution":{"observed_at":"2026-05-25T06:20:25.690822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"The effect of processing techniques on the classification accuracy of brain-computer interface systems","venue":null,"work_id":"7932417d-8554-4c51-912e-514f276ca0b5","year":2024},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:461f45e40704eb37ae65f6ee97c480cf44ecd11335f2424a1f34282f66bbbfc9","observation_id":"58b7bc03-00d2-4cf0-a485-d344ff64e936","resolution":{"observed_at":"2026-05-25T06:20:25.683097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"An improved feature extraction algorithms of EEG signals based on motor imagery brain-computer interface","venue":null,"work_id":"5363623f-e942-4c28-be34-e2ca04e9980c","year":2022},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:475090b71b59e3d165ee39cc868c2c2f0830592d66c4092444c3914bdedbc693","observation_id":"c701f491-18a2-4c9c-95bd-38367389979c","resolution":{"observed_at":"2026-05-25T06:20:25.687067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Comparison of two methods of removing EOG artifacts for use in a motor imagery-based brain computer interface","venue":null,"work_id":"108caa72-c426-453b-a9b4-72f357eb2b78","year":2021},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:fc7a3c2c78721b588bf2c1963c625f6813408dc89b81d74c53e447db50bf9b5b","observation_id":"a7ce7542-caa6-44ac-9fbd-e62aba17b724","resolution":{"observed_at":"2026-05-25T06:20:25.675344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Subject-dependent artifact removal for enhancing motor imagery classi- fier performance under poor skills","venue":null,"work_id":"349cd253-1db8-4780-b280-0dab1717d3d3","year":2022},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:030da27817224920cea65ba2efb150e7d32d6dcf8d49c0f5562922fc2d97f3ed","observation_id":"460ddcbb-74c8-4096-8a80-926ac0cbc412","resolution":{"observed_at":"2026-05-25T06:20:25.679087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Removing electroencephalographic ar- tifacts by blind source separation","venue":null,"work_id":"332c5ae6-b162-494d-a387-4a41dadff216","year":2000},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:c5f8aa21163bf1c8bc82976d4bace6a5ea514719e6e9e42c6790044ea33d3c52","observation_id":"f224ad66-b2e2-4a25-b8ab-59e0fbb4b6a6","resolution":{"observed_at":"2026-05-25T06:20:25.671628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"EEG is better left alone","venue":null,"work_id":"38709371-27e1-4f80-84d7-8874a7a6b98a","year":2023},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:53196fb54f46d6a2b0b69ba3c0747c4a0c288be1cd39d3375c9eadcb75fa19fd","observation_id":"030c49c5-69b0-4f64-ba65-7017f2c7842c","resolution":{"observed_at":"2026-05-25T06:20:25.694338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","venue":null,"work_id":"7bf1630f-e07b-4f9a-9c54-bbda80b512e7","year":2004},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:9188eb68e4de83e7d4fd499310ff4095df9cde956a8c2cb1db4f72e27204d7fa","observation_id":"ba270b8a-ef04-4422-84ae-ff63edd92146","resolution":{"observed_at":"2026-05-25T06:20:25.663049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Real-time neuroimaging and cognitive monitoring using wearable dry EEG","venue":null,"work_id":"5d9e91d1-6343-4ac1-a4c5-e164ed036248","year":2015},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:23d48451fea209fbabc17f5ea834fc994cf1bb18fdd6184cec3aa09a50f50766","observation_id":"0cc2f3b9-c659-488d-b043-425bb0466b81","resolution":{"observed_at":"2026-05-25T06:20:25.581643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"MEG and EEG data analysis with MNE-Python","venue":null,"work_id":"9278399f-a3df-4727-8b0f-607404e204ff","year":2013},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:ace0a1cf7fa237796da4a9b54f0ba91f86570822be44d675572ca3a06b048b17","observation_id":"cf2c81d5-2fee-4cae-a633-05730b72cdab","resolution":{"observed_at":"2026-05-25T06:20:25.597641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"FASTER: fully automated statistical thresholding for EEG artifact rejection","venue":null,"work_id":"2a66cdcf-40a0-4f4a-8f4d-9f93ff71fbd3","year":2010},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:afb17748d5a88a47e21cfca6bb6f691d0fd43399fd7d0aa7cf69a7e67ca328bd","observation_id":"c60c90af-383a-4856-803d-ce9330556774","resolution":{"observed_at":"2026-05-25T06:20:25.569960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Autoreject: automated artifact rejection for MEG and EEG data","venue":null,"work_id":"aa17d025-32b4-4cf1-a8e0-09e038ac130a","year":2017},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:c86bac2da4fb8a0db4cb7c88a9d21aa1c0da307ac31a8a8daa1a5e34b1be5d88","observation_id":"67dfcfb2-6a9a-472d-9373-d6cfcb626a14","resolution":{"observed_at":"2026-05-25T06:20:25.566368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Reliable and fast automatic artifact rejection of long-term EEG recordings based on Isolation Forest","venue":null,"work_id":"89e76db8-a9e1-46ed-a67d-1f40c3dc93f4","year":2024},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:cd529065e46e217380ceaf1d2d81eee520c2ec62ad586776e8d172c621fb3c3c","observation_id":"d780aa09-7c64-4c7e-9875-6e48c623a702","resolution":{"observed_at":"2026-05-25T06:20:25.574027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"The Riemannian Potato: an automatic and adaptive artifact detection method for online experiments using Riemannian geometry","venue":null,"work_id":"76b8bd51-a80a-48cb-9459-48c9bc88373b","year":2013},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:fe8c73a732fd7bc3a6441ba5a3f6ee5b1f5cde06505b923f6cc0e648618e1ee1","observation_id":"0be48555-5535-4523-8f08-11b02e3487b3","resolution":{"observed_at":"2026-05-25T06:20:25.601304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"The Rieman- nian potato field: a tool for online signal quality index of EEG","venue":null,"work_id":"5849d48c-e651-4837-bb8c-e20985156d7b","year":2019},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:0a8c29f64921fcdd0881686c8713fef6714bdef95850aaf50524fc6bb9bc1525","observation_id":"ceef61a6-8c2e-4a43-98e7-9ae7ece4d086","resolution":{"observed_at":"2026-05-25T06:20:25.558628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"An automatic Riemannian artifact rejection method for P300-based BCIs","venue":null,"work_id":"66b42f07-de06-43b5-8e9f-4d76530dcbbe","year":2024},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:e76644f0286221e0b4f51547a71c5332d7bc5332f0aab84cd8d98abe4dcc8561","observation_id":"f6752eac-7d1a-4fce-aebf-698c03422918","resolution":{"observed_at":"2026-05-25T06:20:25.555044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Good data? The EEG Quality Index for automated assessment of signal quality","venue":null,"work_id":"479d1fe7-ee0e-45ad-ae33-3ff37a4b32ed","year":2019},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:7761f35745b87aaccf5d84aabb13fd29159b67fd2d7bf2301ec9967585212082","observation_id":"35b9a3d9-8fc2-4fb8-b216-16f60636d336","resolution":{"observed_at":"2026-05-25T06:20:25.562746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"The effects of electrode impedance on data quality and statistical significance in ERP recordings","venue":null,"work_id":"ebf4b5b9-53c0-4e8e-824a-d7bbed2f5b37","year":2010},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:abfb46e5d0db0e6f40a57d237ddec0d42f9d6cb698274dbe1a88d0f595033bac","observation_id":"c1da6acd-754f-4f6b-a61c-0c5a8593906a","resolution":{"observed_at":"2026-05-25T06:20:25.577872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer’s disease: A review","venue":null,"work_id":"3b52e6fa-7343-4ca4-83cb-9ce07db7422f","year":2020},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:2371ae0160bea8422c84ee5a3bf789274cc0105f5a3f1e9797a1c2529f352a71","observation_id":"27c022ac-8f2d-4258-bb64-483b2ae9c051","resolution":{"observed_at":"2026-05-25T06:20:25.585741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Najimet al.,Stochastic Processes: Estimation, Optimisation and Analysis","venue":null,"work_id":"b53ba061-9bdf-44f8-b255-67ab87a4f2fc","year":2004},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:d92e89af6c167e4a1bd1f46dc5bf982d52ac13071a4a0b9a0b254355f79abb0e","observation_id":"be301797-d545-4267-91b6-82d0787c2928","resolution":{"observed_at":"2026-05-25T06:20:25.605277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Enhanced detection of arti- facts in EEG data using higher-order statistics and independent component analysis","venue":null,"work_id":"2e38c238-efb3-4a1a-a909-7ffaba327faf","year":2007},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:c9548dbf7c0380063d82f3a6e361574e02f7a121f3c884286f3a7327ddae06d3","observation_id":"a5e0b544-5c8e-42b1-b53c-6f9f0cbea31b","resolution":{"observed_at":"2026-05-25T06:20:25.612883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Evaluation of artifact subspace reconstruction for automatic artifact components removal in multi-channel EEG recordings","venue":null,"work_id":"bec28a8f-cd29-49eb-ada9-6bb804b8f676","year":2020},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:3575000578433bb9327bb631aa0bc01b868b558dd08981b9465372ccffa1428f","observation_id":"61c8e444-de7e-4f1e-90b7-5c753fa6a1aa","resolution":{"observed_at":"2026-05-25T06:20:25.636476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Developing brain vital signs: Initial framework for monitoring brain function changes over time","venue":null,"work_id":"e3537df7-ecc1-45ee-93df-3f5259f28d1a","year":2016},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:961fc4fe264826636cf48910dc9d603a89a80e15304ec9e0c4fcfab2dd8702be","observation_id":"8bf6c9b5-147f-4f18-a7e8-f50481f1fdb7","resolution":{"observed_at":"2026-05-25T06:20:25.643534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Finding a ‘Kneedle’ in a haystack: Detecting knee points in system behavior","venue":null,"work_id":"2536247c-74b8-4294-ab5a-db1791d2a0d7","year":2011},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:3f4a210ee434da2e1d1200244f02c19ae78cb277d8aa07762eae84d159f08dcc","observation_id":"9101ca82-eedf-4f9e-93f2-f5cfbcf7626b","resolution":{"observed_at":"2026-05-25T06:20:25.632429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Kneeliverse: A universal knee- detection library for performance curves","venue":null,"work_id":"80b745fe-150c-4955-bc45-38dce4241a64","year":2025},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:1f41b67b3998bc0e99df178ea73293bf1e9920e2f9e291302d728fb2848f0012","observation_id":"10939e74-a349-4e42-82e7-4346253c86da","resolution":{"observed_at":"2026-05-25T06:20:25.649914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Aristimunhaet al.,Mother of All BCI Benchmarks (MOABB), ver","venue":null,"work_id":"2c986062-47b2-4288-a094-2b20339278b4","year":2025},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:588a9678509b385932a84c331371045128c42e972da6592f2acf6da0ee0084ac","observation_id":"7c9f6016-fe59-4a83-a76c-9c1869a61969","resolution":{"observed_at":"2026-05-25T06:20:25.653834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Multiclass brain- computer interface classification by Riemannian geometry","venue":null,"work_id":"5adc7c8b-4f07-4afa-bf7c-ea773c373c42","year":2012},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:1983981d8ccd5faf2e8d5a5321ef332c5e1f722ebca359dce40f704079d2c220","observation_id":"1cd261c4-1622-4015-af55-0ec8f79d47cc","resolution":{"observed_at":"2026-05-25T06:20:25.628625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark","venue":null,"work_id":"1f27f678-396b-4af2-bf3e-9329267cdf37","year":2024},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:599d889097db2ceaed192e08eb443ca7e6a78844ca8b5a417840dfa30720e46f","observation_id":"a10f4498-fb95-4c73-8df4-f770c7f69a82","resolution":{"observed_at":"2026-05-25T06:20:25.659339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Return of the GEDAI: Unsupervised EEG denoising based on leadfield filtering","venue":null,"work_id":"b76a2279-f2ba-4fb9-8037-bb07b8003150","year":2025},"citing_paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-25T06:16:51.199802Z"},"links":{"citing_paper":"/paper/2605.12408"},"observation_digest":"sha256:fb210d5584ecb48543f0147e9e6af28fe3bf438bff66627981059aa64bf6b174","observation_id":"f7372e92-c772-4eda-9c83-0ce397d55f48","resolution":{"observed_at":"2026-05-25T06:20:25.624370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.12408","last_updated":"2026-05-22T08:52:25Z","latest_version":2,"primary_category":"eess.SP","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:05:13Z","title":"From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":39},"total_outbound_references":39},"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":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"thesis":"As of 3 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2605.12408."}