{"as_of":"2026-08-18T19:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e314219e04b2d67dd126cb4de37c9f09a97f0a1fe2937f2b54d12dc9d8183b36","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":"2026-08-18T06:34:40.430872+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":"sha256:50cde0a6adf7a1792ee5a0aa5274b0e4c57e66e8c814ee2fb278fb14fee61097","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:3bda0484915ea943b1157cfa2e5e41f419c0019be47987f38d45f7f871cbe877","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:0f06f0a68b285be1b6da9ef78a80f4c78f7e8a21ce7858fc258d45002a2f17f6","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:dccca665ba0acb3af1aeb3da7392844a281bb305422814e0a3bbf6a463162d6a","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:ddd276a3fcb49a4a315d3ba05b7010464ef2309d6a9535b439632b2345de4ef9","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:272a64dbd681e7db4c70a4b59ac1accaaca6206bddf3fba9a524761ced785b7c","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:4c4384ef99d8e781ae4a39b1e174d9a2f3761c7f6864f5c6d7c427f2af444d91","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:f721bb56271430b028751d84273072a3fdd2f4e2f116edfa6feea8fff287f659","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:0f4a6211c720090119c23a76e2e41d4ccfe18164898bf17d98c84cde36406409","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:90feed5e46bb03a06a4f0817ac64ebe125d8d7eda0c534a5e7c09d63dc0e5d75","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:a24261122168bd68bb8ebba8356e5bcd14c7e50489f6d86299cf67b462b8718c","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:c0d53f48d2588b5c6a741b1713ccf899aac9f569e66f161830a6017b1c539805","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:cd6cc04f0c5229589b675d47a58786cf5dee1e727c0fe2591da2a56b6f438948","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:e31a6b4a445ddbdd6c68791ad27fb6fdadfa47962ae2ecc12223967496e97a92","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:6bcc287bcbecba01a4cf447f34890126087cf8b534ee31c3b5ad6df8a0a16c78","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:235648e11f872586de678776c781cd55c4dcefa93a72754b532b81b801e04290","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:8339bae7fdb42bb22a27eeee7fc25ae154533584503638f7b494d6558017ae26","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:83b46ff7201ddeb14b5ac3709a50717ae84fdf5989b7c92fc7a00e578e902f74","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:599cd877a6f22d52ac3c7021cce1bc0bba7844a80f121ff3bef49ee5acaf6bfd","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:2ba2e8e2a3a231f664fefec2a8bd3e69b8b24779de4d455667b78cac8182a42f","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:36e8f3f723c2f90a8e11e171f7d019d4f7fa576a54c05a2bb0938ca89209efd9","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:fc90e74766948442b240fa643c75091dfd9df16843f554f286809bcc5e8f3852","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:c5d5ae29c4e870564fa50607714ad949ad8277e51793310e35172b76d548180f","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:66332f529e01a373e4b385ce91411ea387f52c89442b5d69515d814c1a4fcb68","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:c0b750adea4da6ecd82bd4b83bcd36cdf1b4bfc4865a6eab340c854190179d14","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:bf326768d05859e4ca1bd3719d667b33c7d8831cdb8fde7348693d26284898eb","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:69e928e82ebc9bb0ce223716f67c2989f82572e0b718934bbc4796b6687ec599","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:bc1bf362897f7a6cd19591c78d8f50f1c30e30935a94633f8381d19971adadd8","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:84f1af77ef826513cb5baa906050abdefa9c2c29cf78e022c5f990ad4f5d85ed","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:3c6be606275d2628e14cfd39865672199763d0796f5df535aadbb4c2e1cc0240","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:d1ad0df12037d027e35d41f15462976d45aaa1b0f211a46d06dee4e380a21eb5","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:835e29f8704457f41aa810e9d584a878739d425728c6a3c124a9b009968b954d","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:7cdc7f6efb2feb5f788b6ea36db5c4207acb1a91a0e7466c6df1b852baf09eb6","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:845993284f3a4b1186a080e9aa47cfbed564be6bff653d1723e8bd505f785e93","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:e5e0e3ae0e29234add774889c775d3a594bee028725ffea384100c169282b952","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:6c60c219ee6b3a6c56b4a1e654a747bdc77b9a0678ad6a7871844e8633d2d164","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:dafdf11ad2558f911aa22f2151a0d093c480a6b40aef98279118fce9ee8e70ed","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"sha256:7946ae044cdc15e2401857852acda140dcc5ca25ed6d386e05cbe0c56abc2d6d","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:bfc90d0dfff2cfb1cfa6523a233bb0005cc4da36566f261d91e74eb00edded75","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2605.12408."}