{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PDK2TSCQUYP3Q6M2T43B5ASLJJ","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":"cc4b29b9688a5a6244b0d12f445fd358ec1de37603a790bbfacfeccb165354fb","cross_cats_sorted":["cs.AI","cs.MM","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T16:34:51Z","title_canon_sha256":"76ea2c2781d590f9e74bb1e8f85c0fb954238aa9f728e0b8c0259362ca6925d0"},"schema_version":"1.0","source":{"id":"2412.14018","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14018","created_at":"2026-07-05T11:25:06Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14018v3","created_at":"2026-07-05T11:25:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14018","created_at":"2026-07-05T11:25:06Z"},{"alias_kind":"pith_short_12","alias_value":"PDK2TSCQUYP3","created_at":"2026-07-05T11:25:06Z"},{"alias_kind":"pith_short_16","alias_value":"PDK2TSCQUYP3Q6M2","created_at":"2026-07-05T11:25:06Z"},{"alias_kind":"pith_short_8","alias_value":"PDK2TSCQ","created_at":"2026-07-05T11:25:06Z"}],"graph_snapshots":[{"event_id":"sha256:2f652a6d61f56eb569588705d7f1960f8a223d14432a39aedaa4f163e10912a4","target":"graph","created_at":"2026-07-05T11:25:06Z","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/2412.14018/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surgical video generation can enhance medical education and research, but existing methods lack fine-grained motion control and realism. We introduce SurgSora, a framework that generates high-fidelity, motion-controllable surgical videos from a single input frame and user-specified motion cues. Unlike prior approaches that treat objects indiscriminately or rely on ground-truth segmentation masks, SurgSora leverages self-predicted object features and depth information to refine RGB appearance and optical flow for precise video synthesis. It consists of three key modules: (1) the Dual Semantic I","authors_text":"Hongliang Ren, Junyi Wang, Long Bai, Luping Zhou, Shuya Yang, Tong Chen","cross_cats":["cs.AI","cs.MM","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T16:34:51Z","title":"SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14018","kind":"arxiv","version":3},"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":"sha256:30afe4d08e347e45e3f92fcb2eeff1cc46e3555fe85866245b55e3f7e0840537","target":"record","created_at":"2026-07-05T11:25:06Z","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":"cc4b29b9688a5a6244b0d12f445fd358ec1de37603a790bbfacfeccb165354fb","cross_cats_sorted":["cs.AI","cs.MM","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T16:34:51Z","title_canon_sha256":"76ea2c2781d590f9e74bb1e8f85c0fb954238aa9f728e0b8c0259362ca6925d0"},"schema_version":"1.0","source":{"id":"2412.14018","kind":"arxiv","version":3}},"canonical_sha256":"78d5a9c850a61fb8799a9f361e824b4a78deea2e2263d13ba02ce7a185f4e449","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78d5a9c850a61fb8799a9f361e824b4a78deea2e2263d13ba02ce7a185f4e449","first_computed_at":"2026-07-05T11:25:06.728048Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:06.728048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+qh7dEFPiv6BKE2lsSiyPO0/Ip+SQSdFhEc8gGt2bPXINOhQjeTJGOBczCTccj8QcahPYbaJduX+/yE8p/L9Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:06.728698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14018","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30afe4d08e347e45e3f92fcb2eeff1cc46e3555fe85866245b55e3f7e0840537","sha256:2f652a6d61f56eb569588705d7f1960f8a223d14432a39aedaa4f163e10912a4"],"state_sha256":"6ea2bd02d4ab14666645f85ad931ad1db1e4a3b0a276c5bd9b5a26a3538a3285"}