{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:4MW4TTTBOJ5ZMYDGOX6TDDJO4I","short_pith_number":"pith:4MW4TTTB","canonical_record":{"source":{"id":"1306.3474","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-06-14T18:24:19Z","cross_cats_sorted":["cs.HC","stat.ML"],"title_canon_sha256":"387eee6d214c06ae49338ee5c2a6218e4482309aaee57b451dda972f1a47eaab","abstract_canon_sha256":"1b5768ee6a143c867f14aac0b236e0dcf46828440f11c149dd00980d0d832806"},"schema_version":"1.0"},"canonical_sha256":"e32dc9ce61727b96606675fd318d2ee214578d897353eee71eac7f9879c88c4b","source":{"kind":"arxiv","id":"1306.3474","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1306.3474","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"arxiv_version","alias_value":"1306.3474v1","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.3474","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"pith_short_12","alias_value":"4MW4TTTBOJ5Z","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"4MW4TTTBOJ5ZMYDG","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"4MW4TTTB","created_at":"2026-05-18T12:27:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:4MW4TTTBOJ5ZMYDGOX6TDDJO4I","target":"record","payload":{"canonical_record":{"source":{"id":"1306.3474","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-06-14T18:24:19Z","cross_cats_sorted":["cs.HC","stat.ML"],"title_canon_sha256":"387eee6d214c06ae49338ee5c2a6218e4482309aaee57b451dda972f1a47eaab","abstract_canon_sha256":"1b5768ee6a143c867f14aac0b236e0dcf46828440f11c149dd00980d0d832806"},"schema_version":"1.0"},"canonical_sha256":"e32dc9ce61727b96606675fd318d2ee214578d897353eee71eac7f9879c88c4b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:20:57.606939Z","signature_b64":"dC0MymrA1r27oF5EKhdmxt4TPa7Pp/mREA4KIS8gJpYqvw1+nOnfNG8Ehp6nI1iX/EPGSa9u+6Ri6mMubYqaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e32dc9ce61727b96606675fd318d2ee214578d897353eee71eac7f9879c88c4b","last_reissued_at":"2026-05-18T03:20:57.606375Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:20:57.606375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1306.3474","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:20:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HZOzxEsq4iHziHx0CM/sTkQg5kB3F9fdzGodIjGxfkLyWVJ5TLzm18miv8VMJIn6RmADf7hbw/cTwaVqr6lbBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T12:17:46.962685Z"},"content_sha256":"74f268236fba40b99d8d1748612d15f6f6628ce46c89462758fee85165f4c17f","schema_version":"1.0","event_id":"sha256:74f268236fba40b99d8d1748612d15f6f6628ce46c89462758fee85165f4c17f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:4MW4TTTBOJ5ZMYDGOX6TDDJO4I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classifying Single-Trial EEG during Motor Imagery with a Small Training Set","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Yijun Wang","submitted_at":"2013-06-14T18:24:19Z","abstract_excerpt":"Before the operation of a motor imagery based brain-computer interface (BCI) adopting machine learning techniques, a cumbersome training procedure is unavoidable. The development of a practical BCI posed the challenge of classifying single-trial EEG with a small training set. In this letter, we addressed this problem by employing a series of signal processing and machine learning approaches to alleviate overfitting and obtained test accuracy similar to training accuracy on the datasets from BCI Competition III and our own experiments."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.3474","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:20:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"trNXWHsnCg++tyNj1FBRx9POrdbb1kSUQrI/yGShRXJs8Xd5HadT4yjuxQx4757lwvKUBGrFA4wqzhtk1bXWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T12:17:46.963234Z"},"content_sha256":"12c34a27457d5a57c2498d47fe397bda44b127b3379f5b8b768287d14fa09186","schema_version":"1.0","event_id":"sha256:12c34a27457d5a57c2498d47fe397bda44b127b3379f5b8b768287d14fa09186"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I/bundle.json","state_url":"https://pith.science/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-08T12:17:46Z","links":{"resolver":"https://pith.science/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I","bundle":"https://pith.science/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I/bundle.json","state":"https://pith.science/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4MW4TTTBOJ5ZMYDGOX6TDDJO4I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:4MW4TTTBOJ5ZMYDGOX6TDDJO4I","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1b5768ee6a143c867f14aac0b236e0dcf46828440f11c149dd00980d0d832806","cross_cats_sorted":["cs.HC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-06-14T18:24:19Z","title_canon_sha256":"387eee6d214c06ae49338ee5c2a6218e4482309aaee57b451dda972f1a47eaab"},"schema_version":"1.0","source":{"id":"1306.3474","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1306.3474","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"arxiv_version","alias_value":"1306.3474v1","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.3474","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"pith_short_12","alias_value":"4MW4TTTBOJ5Z","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"4MW4TTTBOJ5ZMYDG","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"4MW4TTTB","created_at":"2026-05-18T12:27:34Z"}],"graph_snapshots":[{"event_id":"sha256:12c34a27457d5a57c2498d47fe397bda44b127b3379f5b8b768287d14fa09186","target":"graph","created_at":"2026-05-18T03:20:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Before the operation of a motor imagery based brain-computer interface (BCI) adopting machine learning techniques, a cumbersome training procedure is unavoidable. The development of a practical BCI posed the challenge of classifying single-trial EEG with a small training set. In this letter, we addressed this problem by employing a series of signal processing and machine learning approaches to alleviate overfitting and obtained test accuracy similar to training accuracy on the datasets from BCI Competition III and our own experiments.","authors_text":"Yijun Wang","cross_cats":["cs.HC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-06-14T18:24:19Z","title":"Classifying Single-Trial EEG during Motor Imagery with a Small Training Set"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.3474","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:74f268236fba40b99d8d1748612d15f6f6628ce46c89462758fee85165f4c17f","target":"record","created_at":"2026-05-18T03:20:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1b5768ee6a143c867f14aac0b236e0dcf46828440f11c149dd00980d0d832806","cross_cats_sorted":["cs.HC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-06-14T18:24:19Z","title_canon_sha256":"387eee6d214c06ae49338ee5c2a6218e4482309aaee57b451dda972f1a47eaab"},"schema_version":"1.0","source":{"id":"1306.3474","kind":"arxiv","version":1}},"canonical_sha256":"e32dc9ce61727b96606675fd318d2ee214578d897353eee71eac7f9879c88c4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e32dc9ce61727b96606675fd318d2ee214578d897353eee71eac7f9879c88c4b","first_computed_at":"2026-05-18T03:20:57.606375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:20:57.606375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dC0MymrA1r27oF5EKhdmxt4TPa7Pp/mREA4KIS8gJpYqvw1+nOnfNG8Ehp6nI1iX/EPGSa9u+6Ri6mMubYqaBA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:20:57.606939Z","signed_message":"canonical_sha256_bytes"},"source_id":"1306.3474","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74f268236fba40b99d8d1748612d15f6f6628ce46c89462758fee85165f4c17f","sha256:12c34a27457d5a57c2498d47fe397bda44b127b3379f5b8b768287d14fa09186"],"state_sha256":"ad59ad45a05c726659783798b8d03fc5e6d3274bb42a12e6b744d201c4561dfd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EjmRJgd/gZHgVbu9TDDOvUew0DiKP2HQLVpamxYr9X6iy2WAktcDfTxkz/2berZt2GUHFjQ+HbxVDnHt6CVbDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T12:17:46.966079Z","bundle_sha256":"8e065b31241771aa0af396a37c0f8da22e9025c4d291f66a1a578e8dfdac0c73"}}