{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KS7BYCQMZEWY7S4RKLP4HYA3NY","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":"b920f9689b734257fdf3c10ec8de4f44ffce990bbb7c93365b88d10bb4d3fcb4","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-07T13:48:30Z","title_canon_sha256":"0db84ddb0368e22d8626802931b7e4424873c43a76e2379d829855ea75e40fbc"},"schema_version":"1.0","source":{"id":"2101.02538","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.02538","created_at":"2026-07-05T02:05:14Z"},{"alias_kind":"arxiv_version","alias_value":"2101.02538v1","created_at":"2026-07-05T02:05:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.02538","created_at":"2026-07-05T02:05:14Z"},{"alias_kind":"pith_short_12","alias_value":"KS7BYCQMZEWY","created_at":"2026-07-05T02:05:14Z"},{"alias_kind":"pith_short_16","alias_value":"KS7BYCQMZEWY7S4R","created_at":"2026-07-05T02:05:14Z"},{"alias_kind":"pith_short_8","alias_value":"KS7BYCQM","created_at":"2026-07-05T02:05:14Z"}],"graph_snapshots":[{"event_id":"sha256:ac1ba6defbcfcca4f5c783bf30cc03f949e41ea8cbe73ab8580688bbc9d87f0d","target":"graph","created_at":"2026-07-05T02:05:14Z","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/2101.02538/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sleep staging based on electroencephalogram (EEG) plays an important role in the clinical diagnosis and treatment of sleep disorders. In order to emancipate human experts from heavy labeling work, deep neural networks have been employed to formulate automated sleep staging systems recently. However, EEG signals lose considerable detailed information in network propagation, which affects the representation of deep features. To address this problem, we propose a new framework, called MRNet, for data-driven sleep staging by integrating a multi-scale feature fusion model and a Markov-based sequent","authors_text":"Xue Jiang","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-07T13:48:30Z","title":"MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.02538","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":"sha256:15390e86f53156d505005725bc82e2ce99aed0ed954c70dd2f4395f28db39014","target":"record","created_at":"2026-07-05T02:05:14Z","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":"b920f9689b734257fdf3c10ec8de4f44ffce990bbb7c93365b88d10bb4d3fcb4","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-07T13:48:30Z","title_canon_sha256":"0db84ddb0368e22d8626802931b7e4424873c43a76e2379d829855ea75e40fbc"},"schema_version":"1.0","source":{"id":"2101.02538","kind":"arxiv","version":1}},"canonical_sha256":"54be1c0a0cc92d8fcb9152dfc3e01b6e1a24330fd0d462089052bb7c30bb6292","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54be1c0a0cc92d8fcb9152dfc3e01b6e1a24330fd0d462089052bb7c30bb6292","first_computed_at":"2026-07-05T02:05:14.733600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:05:14.733600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ehyLUYBaGmEY6SFR88fsoJ+PSjfE+pVfgS8ensx3wQRpDWkEP4OHY8wYC/MQLv2ZnT1cBXVvps5QD2slLxmKBg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:05:14.734014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.02538","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15390e86f53156d505005725bc82e2ce99aed0ed954c70dd2f4395f28db39014","sha256:ac1ba6defbcfcca4f5c783bf30cc03f949e41ea8cbe73ab8580688bbc9d87f0d"],"state_sha256":"29be88c35dc4fbc5d4c72fc95ad19846a2a76b089e9a0a7e9d2896f96a404ca2"}