{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FAELIIDAIWI2NQL52WLCCFOZJD","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":"bf279d8dd2056009da7f8b06ec76689d67e17b52f3c57c1a9463e89fd700a9b5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T09:42:54Z","title_canon_sha256":"13b0bc333330e1bfd62f4aa761351a2b3743c5331c1f95c399ece51de1e04a4b"},"schema_version":"1.0","source":{"id":"2506.02692","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02692","created_at":"2026-07-05T11:15:06Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02692v1","created_at":"2026-07-05T11:15:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02692","created_at":"2026-07-05T11:15:06Z"},{"alias_kind":"pith_short_12","alias_value":"FAELIIDAIWI2","created_at":"2026-07-05T11:15:06Z"},{"alias_kind":"pith_short_16","alias_value":"FAELIIDAIWI2NQL5","created_at":"2026-07-05T11:15:06Z"},{"alias_kind":"pith_short_8","alias_value":"FAELIIDA","created_at":"2026-07-05T11:15:06Z"}],"graph_snapshots":[{"event_id":"sha256:e62572c5bf32feeeff78cfc47dc5d101e903b1cd1af1ec9c1db7a92bf1eb9a86","target":"graph","created_at":"2026-07-05T11:15:06Z","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/2506.02692/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-Assisted Intervention (CAI) has the potential to revolutionize modern surgery, with surgical scene understanding serving as a critical component in supporting decision-making, improving procedural efficacy, and ensuring intraoperative safety. While existing AI-driven approaches alleviate annotation burdens via self-supervised spatial representation learning, their lack of explicit temporal modeling during pre-training fundamentally restricts the capture of dynamic surgical contexts, resulting in incomplete spatiotemporal understanding. In this work, we introduce the first video-level ","authors_text":"Alex Qinyang Liu, Fengtao Zhou, Fuxiang Huang, Hao Chen, Huihui Sun, Jeremy YuenChun Teoh, Jing Qin, Lena Maier-Hein, Leon Mayer, \\\"Omer S\\\"umer, Shuchang Xu, Shu Yang, Sunan He, Xi Wang, Yihui Wang, Yiliang Chen, Yueming Jin, Yuxiang Nie, Zheng Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T09:42:54Z","title":"Large-scale Self-supervised Video Foundation Model for Intelligent Surgery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02692","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:dedd1062f2eff29f53c3547be03c28cc02a642ba2489e5de5f9e420c6f012de7","target":"record","created_at":"2026-07-05T11:15:06Z","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":"bf279d8dd2056009da7f8b06ec76689d67e17b52f3c57c1a9463e89fd700a9b5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T09:42:54Z","title_canon_sha256":"13b0bc333330e1bfd62f4aa761351a2b3743c5331c1f95c399ece51de1e04a4b"},"schema_version":"1.0","source":{"id":"2506.02692","kind":"arxiv","version":1}},"canonical_sha256":"2808b420604591a6c17dd5962115d948e8ab6b5b556b33f4caa37aef15eabd3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2808b420604591a6c17dd5962115d948e8ab6b5b556b33f4caa37aef15eabd3f","first_computed_at":"2026-07-05T11:15:06.658057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:06.658057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uYCSLmcCTJZWxab8k1If9hBzG+qSRu5c5LMnDrb61I4mrAbg2fTkxi83JHeFq1l9Dmo1uCd85hG9rovbOWLFBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:06.658679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02692","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dedd1062f2eff29f53c3547be03c28cc02a642ba2489e5de5f9e420c6f012de7","sha256:e62572c5bf32feeeff78cfc47dc5d101e903b1cd1af1ec9c1db7a92bf1eb9a86"],"state_sha256":"f8d61dff649dca223a8119a95ade665bcfe81d8b1e6a1302cea679467bc3fa02"}