{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:5Z7TEEWFYXINCRD65LATCGVMAO","short_pith_number":"pith:5Z7TEEWF","schema_version":"1.0","canonical_sha256":"ee7f3212c5c5d0d1447eeac1311aac039d82a6fce38a026fcb8959b761d6d151","source":{"kind":"arxiv","id":"2602.07628","version":2},"attestation_state":"computed","paper":{"title":"SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Hyung-Sin Kim, Hyunwoo Ryu, Hyun-Woo Shin, Keondo Park, Younghoon Na, Yourim Choi","submitted_at":"2026-02-07T17:17:45Z","abstract_excerpt":"While the shift toward unified foundation models has revolutionized many deep learning domains, sleep medicine remains largely restricted to task-specific models that focus on localized micro-structure features. These approaches often neglect the rich, multi-modal context of Polysomnography (PSG) and fail to capture the global macro-structure of a full night's sleep. To address this, we introduce SleepMaMi , a Sleep Foundation Model engineered to master both hour-long sleep architectures and fine-grained signal morphologies. Our framework utilizes a hierarchical dual-encoder design: a Macro-En"},"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":"2602.07628","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-07T17:17:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b638738209a6a8a0c9e80eb2095ae4e3059a6e5b5bffc02d5f288c5bcb745897","abstract_canon_sha256":"526f7457c7551505bb175a6527a29a1a5a21ccb86951876852d140bbff8dc77c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:18.517822Z","signature_b64":"S3prX7qptKfEyt/A+WRN/5IihGCbm0hrniUs5uSYzm/7ghqiwQ85BZQvAMjXjSAwmWex/EaAqVpOTHOEDhx8Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee7f3212c5c5d0d1447eeac1311aac039d82a6fce38a026fcb8959b761d6d151","last_reissued_at":"2026-06-19T16:12:18.517455Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:18.517455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Hyung-Sin Kim, Hyunwoo Ryu, Hyun-Woo Shin, Keondo Park, Younghoon Na, Yourim Choi","submitted_at":"2026-02-07T17:17:45Z","abstract_excerpt":"While the shift toward unified foundation models has revolutionized many deep learning domains, sleep medicine remains largely restricted to task-specific models that focus on localized micro-structure features. These approaches often neglect the rich, multi-modal context of Polysomnography (PSG) and fail to capture the global macro-structure of a full night's sleep. To address this, we introduce SleepMaMi , a Sleep Foundation Model engineered to master both hour-long sleep architectures and fine-grained signal morphologies. Our framework utilizes a hierarchical dual-encoder design: a Macro-En"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.07628","kind":"arxiv","version":2},"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/2602.07628/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":"2602.07628","created_at":"2026-06-19T16:12:18.517504+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.07628v2","created_at":"2026-06-19T16:12:18.517504+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.07628","created_at":"2026-06-19T16:12:18.517504+00:00"},{"alias_kind":"pith_short_12","alias_value":"5Z7TEEWFYXIN","created_at":"2026-06-19T16:12:18.517504+00:00"},{"alias_kind":"pith_short_16","alias_value":"5Z7TEEWFYXINCRD6","created_at":"2026-06-19T16:12:18.517504+00:00"},{"alias_kind":"pith_short_8","alias_value":"5Z7TEEWF","created_at":"2026-06-19T16:12:18.517504+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/5Z7TEEWFYXINCRD65LATCGVMAO","json":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO.json","graph_json":"https://pith.science/api/pith-number/5Z7TEEWFYXINCRD65LATCGVMAO/graph.json","events_json":"https://pith.science/api/pith-number/5Z7TEEWFYXINCRD65LATCGVMAO/events.json","paper":"https://pith.science/paper/5Z7TEEWF"},"agent_actions":{"view_html":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO","download_json":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO.json","view_paper":"https://pith.science/paper/5Z7TEEWF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.07628&json=true","fetch_graph":"https://pith.science/api/pith-number/5Z7TEEWFYXINCRD65LATCGVMAO/graph.json","fetch_events":"https://pith.science/api/pith-number/5Z7TEEWFYXINCRD65LATCGVMAO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO/action/storage_attestation","attest_author":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO/action/author_attestation","sign_citation":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO/action/citation_signature","submit_replication":"https://pith.science/pith/5Z7TEEWFYXINCRD65LATCGVMAO/action/replication_record"}},"created_at":"2026-06-19T16:12:18.517504+00:00","updated_at":"2026-06-19T16:12:18.517504+00:00"}