{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q5IXEBWOH2QUVNC632GVXQKQJI","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":"02ebe3d84f045079f237d398513092c68e47824b442a3b572fe3f0309860110b","cross_cats_sorted":["cs.CV","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-05-02T02:34:19Z","title_canon_sha256":"e21096933b846d2a9ed872c682f5838d5c718e75c09f4a61b552074118472875"},"schema_version":"1.0","source":{"id":"2405.00956","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.00956","created_at":"2026-07-05T08:52:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.00956v3","created_at":"2026-07-05T08:52:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.00956","created_at":"2026-07-05T08:52:32Z"},{"alias_kind":"pith_short_12","alias_value":"Q5IXEBWOH2QU","created_at":"2026-07-05T08:52:32Z"},{"alias_kind":"pith_short_16","alias_value":"Q5IXEBWOH2QUVNC6","created_at":"2026-07-05T08:52:32Z"},{"alias_kind":"pith_short_8","alias_value":"Q5IXEBWO","created_at":"2026-07-05T08:52:32Z"}],"graph_snapshots":[{"event_id":"sha256:1f547247ea6efb94a7c002db2f87909cd0c8d91f2b0549eea69f9b5d316df65f","target":"graph","created_at":"2026-07-05T08:52:32Z","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/2405.00956/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surgical scene simulation plays a crucial role in surgical education and simulator-based robot learning. Traditional approaches for creating these environments with surgical scene involve a labor-intensive process where designers hand-craft tissues models with textures and geometries for soft body simulations. This manual approach is not only time-consuming but also limited in the scalability and realism. In contrast, data-driven simulation offers a compelling alternative. It has the potential to automatically reconstruct 3D surgical scenes from real-world surgical video data, followed by the ","authors_text":"Kai Chen, Qi Dou, Yonghao Long, Zhenya Yang","cross_cats":["cs.CV","cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-05-02T02:34:19Z","title":"SimEndoGS: Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.00956","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":"sha256:8fe54bf681ad6bd99a844c30622ac174a789294901e076e0c02c3ab16c537005","target":"record","created_at":"2026-07-05T08:52:32Z","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":"02ebe3d84f045079f237d398513092c68e47824b442a3b572fe3f0309860110b","cross_cats_sorted":["cs.CV","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-05-02T02:34:19Z","title_canon_sha256":"e21096933b846d2a9ed872c682f5838d5c718e75c09f4a61b552074118472875"},"schema_version":"1.0","source":{"id":"2405.00956","kind":"arxiv","version":3}},"canonical_sha256":"87517206ce3ea14ab45ede8d5bc1504a07782b90b6d59633be69ee5da545e64a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87517206ce3ea14ab45ede8d5bc1504a07782b90b6d59633be69ee5da545e64a","first_computed_at":"2026-07-05T08:52:32.454107Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:32.454107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G3e/tXtwYXymYTEdjlDxB1PGEOgZ6DRK7+gPYSWB6oYjZPcl3Ko+wCMacCo4+jH8/HcaMLiiM8ItDCZleh4aDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:32.454517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.00956","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8fe54bf681ad6bd99a844c30622ac174a789294901e076e0c02c3ab16c537005","sha256:1f547247ea6efb94a7c002db2f87909cd0c8d91f2b0549eea69f9b5d316df65f"],"state_sha256":"ccd3d6f7140861b0027deab34c81d164c8fbc70e9871349e1447d67dc9cec057"}