{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3IJML3VXXRDMV5KVSBDYFULIDS","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":"afe014ff8f7dd70d0c26b5f627fc00c33f9cb2e6b70723ffd3077f9eed7c2a5c","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2019-01-02T19:24:38Z","title_canon_sha256":"d0112ee1e098e3ff33be6a6e526d0eac2a046f9fc2a83622ed3abb0d92938446"},"schema_version":"1.0","source":{"id":"1901.00512","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.00512","created_at":"2026-07-05T01:21:45Z"},{"alias_kind":"arxiv_version","alias_value":"1901.00512v1","created_at":"2026-07-05T01:21:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00512","created_at":"2026-07-05T01:21:45Z"},{"alias_kind":"pith_short_12","alias_value":"3IJML3VXXRDM","created_at":"2026-07-05T01:21:45Z"},{"alias_kind":"pith_short_16","alias_value":"3IJML3VXXRDMV5KV","created_at":"2026-07-05T01:21:45Z"},{"alias_kind":"pith_short_8","alias_value":"3IJML3VX","created_at":"2026-07-05T01:21:45Z"}],"graph_snapshots":[{"event_id":"sha256:5c45c28301aec0e0f7d106ef8dfa430edbf77a3ae3b1cb551033571c3f65c703","target":"graph","created_at":"2026-07-05T01:21:45Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1901.00512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A brain-computer interface (BCI) based on the motor imagery (MI) paradigm translates one's motor intention into a control signal by classifying the Electroencephalogram (EEG) signal of different tasks. However, most existing systems either (i) use a high-quality algorithm to train the data off-line and run only classification in real-time, since the off-line algorithm is too slow, or (ii) use low-quality heuristics that are sufficiently fast for real-time training but introduces relatively large classification error. In this work, we propose a novel processing pipeline that allows real-time an","authors_text":"Alex Frid, Dan Feldman, Eitan Netzer","cross_cats":["cs.LG","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2019-01-02T19:24:38Z","title":"Real-Time EEG Classification via Coresets for BCI Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00512","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:f151cfded6408c192cb7fd01224002b654c5cccb71a4caf30d9a97b1eaa8f693","target":"record","created_at":"2026-07-05T01:21:45Z","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":"afe014ff8f7dd70d0c26b5f627fc00c33f9cb2e6b70723ffd3077f9eed7c2a5c","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2019-01-02T19:24:38Z","title_canon_sha256":"d0112ee1e098e3ff33be6a6e526d0eac2a046f9fc2a83622ed3abb0d92938446"},"schema_version":"1.0","source":{"id":"1901.00512","kind":"arxiv","version":1}},"canonical_sha256":"da12c5eeb7bc46caf555904782d1681cad85f5fa7ad4effe0101715d9e85e116","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da12c5eeb7bc46caf555904782d1681cad85f5fa7ad4effe0101715d9e85e116","first_computed_at":"2026-07-05T01:21:45.366411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:21:45.366411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"soYQd9L1CFOT4mOuaMkdYP1HL+Mdhl+z10xoZIqptqaRiIqmaU39VyfBBGGw4/nNeW99PyztA7r9xWtvT80bCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:21:45.366910Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.00512","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f151cfded6408c192cb7fd01224002b654c5cccb71a4caf30d9a97b1eaa8f693","sha256:5c45c28301aec0e0f7d106ef8dfa430edbf77a3ae3b1cb551033571c3f65c703"],"state_sha256":"ac43a839387432bcbe02079b774073c4f715002abd981945e45bea532d813cac"}