{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:56PQEYHUSOIREY67DJ75ZJ7XPC","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":"09e429e9925eac40948b097f9e3da2edc7a78c127500531b9e6949e4d208dbef","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-09-21T08:53:51Z","title_canon_sha256":"2930a051644ad8aa7f50d0d051ee3991eafc1c9e349b4ba027047d909cec71dc"},"schema_version":"1.0","source":{"id":"2310.03747","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.03747","created_at":"2026-07-05T06:57:40Z"},{"alias_kind":"arxiv_version","alias_value":"2310.03747v1","created_at":"2026-07-05T06:57:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.03747","created_at":"2026-07-05T06:57:40Z"},{"alias_kind":"pith_short_12","alias_value":"56PQEYHUSOIR","created_at":"2026-07-05T06:57:40Z"},{"alias_kind":"pith_short_16","alias_value":"56PQEYHUSOIREY67","created_at":"2026-07-05T06:57:40Z"},{"alias_kind":"pith_short_8","alias_value":"56PQEYHU","created_at":"2026-07-05T06:57:40Z"}],"graph_snapshots":[{"event_id":"sha256:8da49326ff6ce96b35e01a78686f398f6f1a41f6d05d0ba491f4131f69dbbb72","target":"graph","created_at":"2026-07-05T06:57:40Z","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/2310.03747/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the abundant neurophysiological information in the electroencephalogram (EEG) signal, EEG signals integrated with deep learning methods have gained substantial traction across numerous real-world tasks. However, the development of supervised learning methods based on EEG signals has been hindered by the high cost and significant label discrepancies to manually label large-scale EEG datasets. Self-supervised frameworks are adopted in vision and language fields to solve this issue, but the lack of EEG-specific theoretical foundations hampers their applicability across various tasks. To so","authors_text":"Chunyan Miao, Qihui Zhang, Weining Weng, Yang Gu, Yingying Huang, Yiqiang Chen","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-09-21T08:53:51Z","title":"A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.03747","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":"sha256:6a41c78331df528d9fcaef02d5776361a0b94aaca38da4af0f41163e44b1beb8","target":"record","created_at":"2026-07-05T06:57:40Z","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":"09e429e9925eac40948b097f9e3da2edc7a78c127500531b9e6949e4d208dbef","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-09-21T08:53:51Z","title_canon_sha256":"2930a051644ad8aa7f50d0d051ee3991eafc1c9e349b4ba027047d909cec71dc"},"schema_version":"1.0","source":{"id":"2310.03747","kind":"arxiv","version":1}},"canonical_sha256":"ef9f0260f493911263df1a7fdca7f778a084fea0d981c0f4cfb51fb779226e18","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef9f0260f493911263df1a7fdca7f778a084fea0d981c0f4cfb51fb779226e18","first_computed_at":"2026-07-05T06:57:40.263876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:40.263876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BCLLsMg3iDVyqAElC3Jdukb0PlXPx/P23UIP2Tn7ZyucyoqvN+GPrECKdU7sTF2x/DENw3wRWS6sKX7PG4E2Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:40.264302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.03747","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a41c78331df528d9fcaef02d5776361a0b94aaca38da4af0f41163e44b1beb8","sha256:8da49326ff6ce96b35e01a78686f398f6f1a41f6d05d0ba491f4131f69dbbb72"],"state_sha256":"e1e460b67c0d191aebc8fd8c57fccb8b609702be84af6fb79d3cbe93f8a4ac27"}