{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:JA5TPFCCRBFOY4VP37JHSDPHNW","short_pith_number":"pith:JA5TPFCC","schema_version":"1.0","canonical_sha256":"483b379442884aec72afdfd2790de76d82e525d7caf58cd0f4b7b77fdc79a1e8","source":{"kind":"arxiv","id":"2506.21287","version":1},"attestation_state":"computed","paper":{"title":"HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Azade Farshad, Diego Biagini, Nassir Navab","submitted_at":"2025-06-26T14:07:23Z","abstract_excerpt":"Surgical Video Synthesis has emerged as a promising research direction following the success of diffusion models in general-domain video generation. Although existing approaches achieve high-quality video generation, most are unconditional and fail to maintain consistency with surgical actions and phases, lacking the surgical understanding and fine-grained guidance necessary for factual simulation. We address these challenges by proposing HieraSurg, a hierarchy-aware surgical video generation framework consisting of two specialized diffusion models. Given a surgical phase and an initial frame,"},"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":"2506.21287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T14:07:23Z","cross_cats_sorted":[],"title_canon_sha256":"00de614f1631602440fb7a5f5fe258663479bcc96f903b067baf36f13fa3abed","abstract_canon_sha256":"dbe7cb12cc7bface34600b7f8e8a662d16e51fbe4945d0fa8e9ace9fe0abfa0c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:42.853177Z","signature_b64":"HCBF+d0y3LStf1fe8HXUz1QVICJ9Wk5tpuDnroQPo+B69BbjzBCrt8WrCSl7FPNBHYzt+laCXnLb/TS1qd9CDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"483b379442884aec72afdfd2790de76d82e525d7caf58cd0f4b7b77fdc79a1e8","last_reissued_at":"2026-07-05T11:27:42.852686Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:42.852686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Azade Farshad, Diego Biagini, Nassir Navab","submitted_at":"2025-06-26T14:07:23Z","abstract_excerpt":"Surgical Video Synthesis has emerged as a promising research direction following the success of diffusion models in general-domain video generation. Although existing approaches achieve high-quality video generation, most are unconditional and fail to maintain consistency with surgical actions and phases, lacking the surgical understanding and fine-grained guidance necessary for factual simulation. We address these challenges by proposing HieraSurg, a hierarchy-aware surgical video generation framework consisting of two specialized diffusion models. Given a surgical phase and an initial frame,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21287","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/2506.21287/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":"2506.21287","created_at":"2026-07-05T11:27:42.852749+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.21287v1","created_at":"2026-07-05T11:27:42.852749+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21287","created_at":"2026-07-05T11:27:42.852749+00:00"},{"alias_kind":"pith_short_12","alias_value":"JA5TPFCCRBFO","created_at":"2026-07-05T11:27:42.852749+00:00"},{"alias_kind":"pith_short_16","alias_value":"JA5TPFCCRBFOY4VP","created_at":"2026-07-05T11:27:42.852749+00:00"},{"alias_kind":"pith_short_8","alias_value":"JA5TPFCC","created_at":"2026-07-05T11:27:42.852749+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/JA5TPFCCRBFOY4VP37JHSDPHNW","json":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW.json","graph_json":"https://pith.science/api/pith-number/JA5TPFCCRBFOY4VP37JHSDPHNW/graph.json","events_json":"https://pith.science/api/pith-number/JA5TPFCCRBFOY4VP37JHSDPHNW/events.json","paper":"https://pith.science/paper/JA5TPFCC"},"agent_actions":{"view_html":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW","download_json":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW.json","view_paper":"https://pith.science/paper/JA5TPFCC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.21287&json=true","fetch_graph":"https://pith.science/api/pith-number/JA5TPFCCRBFOY4VP37JHSDPHNW/graph.json","fetch_events":"https://pith.science/api/pith-number/JA5TPFCCRBFOY4VP37JHSDPHNW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW/action/storage_attestation","attest_author":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW/action/author_attestation","sign_citation":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW/action/citation_signature","submit_replication":"https://pith.science/pith/JA5TPFCCRBFOY4VP37JHSDPHNW/action/replication_record"}},"created_at":"2026-07-05T11:27:42.852749+00:00","updated_at":"2026-07-05T11:27:42.852749+00:00"}