{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TWCGBHNFSZSY226ODCPK3Q4N3N","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":"53bd2118f2c96f7c842ccf5f65e9acabaa9e04f440a32d64215c9f4e00714a91","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-30T22:21:05Z","title_canon_sha256":"a1e40388233f4a941bdd5bb69111a783127278b65a966e1226422feeb42e7624"},"schema_version":"1.0","source":{"id":"2410.00263","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00263","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00263v2","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00263","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"pith_short_12","alias_value":"TWCGBHNFSZSY","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"pith_short_16","alias_value":"TWCGBHNFSZSY226O","created_at":"2026-07-05T10:30:23Z"},{"alias_kind":"pith_short_8","alias_value":"TWCGBHNF","created_at":"2026-07-05T10:30:23Z"}],"graph_snapshots":[{"event_id":"sha256:165b11a5d256a19e5c3c020f688a3f7e0be259180ff6a1ed29a28ed5b05f3102","target":"graph","created_at":"2026-07-05T10:30:23Z","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/2410.00263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap and the scarcity of multi-modal data. This study aims to bridge the gap by addressing issues regarding textual information loss in surgical lecture videos and the spatial-temporal challenges of surgical VLP. We propose a hierarchical knowledge augmentation approach and a novel Procedure-Encoded Surgical Knowledge-Augmented Video-Language Pretraining (PeskaVLP) framework to tackle these issues. The knowledge augmentation uses large language models (LLM) for refining and enriching surgical concepts,","authors_text":"Kun Yuan, Nassir Navab, Nicolas Padoy, Vinkle Srivastav","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-30T22:21:05Z","title":"Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00263","kind":"arxiv","version":2},"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":"sha256:5836763f6bf334e53a6fabdfb311565b769031a740b3e33ec6da140ead259885","target":"record","created_at":"2026-07-05T10:30:23Z","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":"53bd2118f2c96f7c842ccf5f65e9acabaa9e04f440a32d64215c9f4e00714a91","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-30T22:21:05Z","title_canon_sha256":"a1e40388233f4a941bdd5bb69111a783127278b65a966e1226422feeb42e7624"},"schema_version":"1.0","source":{"id":"2410.00263","kind":"arxiv","version":2}},"canonical_sha256":"9d84609da596658d6bce189eadc38ddb55a6cfdacaf81dd7f51ecbc71101df26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d84609da596658d6bce189eadc38ddb55a6cfdacaf81dd7f51ecbc71101df26","first_computed_at":"2026-07-05T10:30:23.661443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:23.661443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TAMQyPN0/4rulBmN91AKIRkOSEiqBei7RuUDAlszRQk99MGaGsZFLQic+BRigvBJXrwm2UiADtuUlpUQShdSDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:23.661938Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00263","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5836763f6bf334e53a6fabdfb311565b769031a740b3e33ec6da140ead259885","sha256:165b11a5d256a19e5c3c020f688a3f7e0be259180ff6a1ed29a28ed5b05f3102"],"state_sha256":"4c480dedf48d988dfb10895e1f33c84f99b14e343876d17bd95f227e5d44c72d"}