{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:OGETJPTNF73LT6TLJF7NWDXQIO","short_pith_number":"pith:OGETJPTN","schema_version":"1.0","canonical_sha256":"718934be6d2ff6b9fa6b497edb0ef043b246a0f228f1dba2fd65d9c0a47f49bc","source":{"kind":"arxiv","id":"2607.03925","version":1},"attestation_state":"computed","paper":{"title":"NeuroOnline: Bridging Pretraining and Online Adaptation for EEG Foundation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chen Wei, Quanying Liu, Weibin Li, Wendu Li, Yushan You","submitted_at":"2026-07-04T15:37:47Z","abstract_excerpt":"EEG foundation models have shown strong potential in learning generalized representations across subjects and tasks. However, most existing approaches follow a pretraining-static deployment paradigm, which suffers from two key limitations: (1) misalignment between pretraining objectives and downstream tasks, and (2) limited adaptability to distribution shifts in online settings. We propose Online Neural Adaptation (NeuroOnline), a unified framework that enables continuous adaptation in online scenarios. NeuroOnline integrates two complementary mechanisms: (1) multi-view consistency learning, w"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.03925","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-04T15:37:47Z","cross_cats_sorted":[],"title_canon_sha256":"3eac1735843ae20fb1e457a0654a6e4961d22b71f8aa18ec0c9704ffa8fcb5e5","abstract_canon_sha256":"25be5e4e09f3af076e4217f8f808d2dbb83a8c6267d6a186b237ae4899229e04"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:18:14.911847Z","signature_b64":"n0CCi6RRTNC1keblBaa5OftiDGhWNbU2FjvA7oTqHyrh9jA+SbFZr35j4F2GK89eBmMFgNDb8cG1aLBDQe8qCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"718934be6d2ff6b9fa6b497edb0ef043b246a0f228f1dba2fd65d9c0a47f49bc","last_reissued_at":"2026-07-07T02:18:14.911108Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:18:14.911108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NeuroOnline: Bridging Pretraining and Online Adaptation for EEG Foundation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chen Wei, Quanying Liu, Weibin Li, Wendu Li, Yushan You","submitted_at":"2026-07-04T15:37:47Z","abstract_excerpt":"EEG foundation models have shown strong potential in learning generalized representations across subjects and tasks. However, most existing approaches follow a pretraining-static deployment paradigm, which suffers from two key limitations: (1) misalignment between pretraining objectives and downstream tasks, and (2) limited adaptability to distribution shifts in online settings. We propose Online Neural Adaptation (NeuroOnline), a unified framework that enables continuous adaptation in online scenarios. NeuroOnline integrates two complementary mechanisms: (1) multi-view consistency learning, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03925","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.03925/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.03925","created_at":"2026-07-07T02:18:14.911210+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.03925v1","created_at":"2026-07-07T02:18:14.911210+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03925","created_at":"2026-07-07T02:18:14.911210+00:00"},{"alias_kind":"pith_short_12","alias_value":"OGETJPTNF73L","created_at":"2026-07-07T02:18:14.911210+00:00"},{"alias_kind":"pith_short_16","alias_value":"OGETJPTNF73LT6TL","created_at":"2026-07-07T02:18:14.911210+00:00"},{"alias_kind":"pith_short_8","alias_value":"OGETJPTN","created_at":"2026-07-07T02:18:14.911210+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO","json":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO.json","graph_json":"https://pith.science/api/pith-number/OGETJPTNF73LT6TLJF7NWDXQIO/graph.json","events_json":"https://pith.science/api/pith-number/OGETJPTNF73LT6TLJF7NWDXQIO/events.json","paper":"https://pith.science/paper/OGETJPTN"},"agent_actions":{"view_html":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO","download_json":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO.json","view_paper":"https://pith.science/paper/OGETJPTN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.03925&json=true","fetch_graph":"https://pith.science/api/pith-number/OGETJPTNF73LT6TLJF7NWDXQIO/graph.json","fetch_events":"https://pith.science/api/pith-number/OGETJPTNF73LT6TLJF7NWDXQIO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO/action/storage_attestation","attest_author":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO/action/author_attestation","sign_citation":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO/action/citation_signature","submit_replication":"https://pith.science/pith/OGETJPTNF73LT6TLJF7NWDXQIO/action/replication_record"}},"created_at":"2026-07-07T02:18:14.911210+00:00","updated_at":"2026-07-07T02:18:14.911210+00:00"}