{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:FLGA5RVTI3QOKTXZ5UWK6TEXJF","short_pith_number":"pith:FLGA5RVT","canonical_record":{"source":{"id":"1809.01318","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T04:32:42Z","cross_cats_sorted":[],"title_canon_sha256":"57b260ebf7b6faf1608a8ca61a970bb634c6ed441a674d3ddcc6bb53a8a85f32","abstract_canon_sha256":"7b110033d36f433d579174f88e1dd19de4f3536b42e1c2a8179db4eaf3500365"},"schema_version":"1.0"},"canonical_sha256":"2acc0ec6b346e0e54ef9ed2caf4c974945c2471cd42d1cbb4e3eb4ca42d2ccce","source":{"kind":"arxiv","id":"1809.01318","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01318","created_at":"2026-05-18T00:06:28Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01318v1","created_at":"2026-05-18T00:06:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01318","created_at":"2026-05-18T00:06:28Z"},{"alias_kind":"pith_short_12","alias_value":"FLGA5RVTI3QO","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"FLGA5RVTI3QOKTXZ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"FLGA5RVT","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:FLGA5RVTI3QOKTXZ5UWK6TEXJF","target":"record","payload":{"canonical_record":{"source":{"id":"1809.01318","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T04:32:42Z","cross_cats_sorted":[],"title_canon_sha256":"57b260ebf7b6faf1608a8ca61a970bb634c6ed441a674d3ddcc6bb53a8a85f32","abstract_canon_sha256":"7b110033d36f433d579174f88e1dd19de4f3536b42e1c2a8179db4eaf3500365"},"schema_version":"1.0"},"canonical_sha256":"2acc0ec6b346e0e54ef9ed2caf4c974945c2471cd42d1cbb4e3eb4ca42d2ccce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:28.040014Z","signature_b64":"WZ6emMHaPkcU4s/Rk9ilcXdAac9rFIS0gdD14talafsAEVqaePKVhiTPImXCL/HtLpm6APjERUAzCpsL4PHMDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2acc0ec6b346e0e54ef9ed2caf4c974945c2471cd42d1cbb4e3eb4ca42d2ccce","last_reissued_at":"2026-05-18T00:06:28.039527Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:28.039527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.01318","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V1gxi5Sgg6cO4DBqMp5F2+kc92CcAYkkW35annFXIZoPcRd2qAiJKlAh4Eg90qhNd+5aksiLGB5YvcD9HaB9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T02:21:33.787744Z"},"content_sha256":"02ec1d9ca44046a3fffc2720d0b46d2f0a1f0a08abab6f459960686e8a333122","schema_version":"1.0","event_id":"sha256:02ec1d9ca44046a3fffc2720d0b46d2f0a1f0a08abab6f459960686e8a333122"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:FLGA5RVTI3QOKTXZ5UWK6TEXJF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Han Song, Hongen Liao, Jiahui Zhang, Ke Wang, Xinran Zhang","submitted_at":"2018-09-05T04:32:42Z","abstract_excerpt":"Sensing the medical scenario can ensure the safety during the surgical operations. So, in this regard, a monitor platform which can obtain the accurate location information of the surgery room is desperately needed. Compared to 2D camera image, 3D data contains more information of distance and direction. Therefore, 3D sensors are more suitable to be used in surgical scene monitoring. However, each 3D sensor has its own limitations. For example, Lidar (Light Detection and Ranging) can detect large-scale environment with high precision, but the point clouds or depth maps are very sparse. As for "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01318","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:06:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4VvPdO43ZfXfZSEHsDtNOQaZz0A3UlvT3JDnd+0t6qNSp7tKtfum2UHbWEmWhsi+QZn2zeLN9QQh8RQDLvhsCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T02:21:33.788094Z"},"content_sha256":"3558d13d0569037cc07ee1a5af9b8fd87a665522b212a05c1951891aa04ea3b8","schema_version":"1.0","event_id":"sha256:3558d13d0569037cc07ee1a5af9b8fd87a665522b212a05c1951891aa04ea3b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF/bundle.json","state_url":"https://pith.science/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T02:21:33Z","links":{"resolver":"https://pith.science/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF","bundle":"https://pith.science/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF/bundle.json","state":"https://pith.science/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FLGA5RVTI3QOKTXZ5UWK6TEXJF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FLGA5RVTI3QOKTXZ5UWK6TEXJF","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":"7b110033d36f433d579174f88e1dd19de4f3536b42e1c2a8179db4eaf3500365","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T04:32:42Z","title_canon_sha256":"57b260ebf7b6faf1608a8ca61a970bb634c6ed441a674d3ddcc6bb53a8a85f32"},"schema_version":"1.0","source":{"id":"1809.01318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01318","created_at":"2026-05-18T00:06:28Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01318v1","created_at":"2026-05-18T00:06:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01318","created_at":"2026-05-18T00:06:28Z"},{"alias_kind":"pith_short_12","alias_value":"FLGA5RVTI3QO","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"FLGA5RVTI3QOKTXZ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"FLGA5RVT","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:3558d13d0569037cc07ee1a5af9b8fd87a665522b212a05c1951891aa04ea3b8","target":"graph","created_at":"2026-05-18T00:06:28Z","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"},"paper":{"abstract_excerpt":"Sensing the medical scenario can ensure the safety during the surgical operations. So, in this regard, a monitor platform which can obtain the accurate location information of the surgery room is desperately needed. Compared to 2D camera image, 3D data contains more information of distance and direction. Therefore, 3D sensors are more suitable to be used in surgical scene monitoring. However, each 3D sensor has its own limitations. For example, Lidar (Light Detection and Ranging) can detect large-scale environment with high precision, but the point clouds or depth maps are very sparse. As for ","authors_text":"Han Song, Hongen Liao, Jiahui Zhang, Ke Wang, Xinran Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T04:32:42Z","title":"Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01318","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":"sha256:02ec1d9ca44046a3fffc2720d0b46d2f0a1f0a08abab6f459960686e8a333122","target":"record","created_at":"2026-05-18T00:06:28Z","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":"7b110033d36f433d579174f88e1dd19de4f3536b42e1c2a8179db4eaf3500365","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T04:32:42Z","title_canon_sha256":"57b260ebf7b6faf1608a8ca61a970bb634c6ed441a674d3ddcc6bb53a8a85f32"},"schema_version":"1.0","source":{"id":"1809.01318","kind":"arxiv","version":1}},"canonical_sha256":"2acc0ec6b346e0e54ef9ed2caf4c974945c2471cd42d1cbb4e3eb4ca42d2ccce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2acc0ec6b346e0e54ef9ed2caf4c974945c2471cd42d1cbb4e3eb4ca42d2ccce","first_computed_at":"2026-05-18T00:06:28.039527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:28.039527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WZ6emMHaPkcU4s/Rk9ilcXdAac9rFIS0gdD14talafsAEVqaePKVhiTPImXCL/HtLpm6APjERUAzCpsL4PHMDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:28.040014Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02ec1d9ca44046a3fffc2720d0b46d2f0a1f0a08abab6f459960686e8a333122","sha256:3558d13d0569037cc07ee1a5af9b8fd87a665522b212a05c1951891aa04ea3b8"],"state_sha256":"eb01f3fafd20cdaef08603f49cc7f7c6c4515e6568d9a064659c906269979708"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nT0Uc63/CIMWJpamg0uU6c4FPm5i+j27vXWa5c+y3IrwxEigIcA7GMjbc73gMpwRYg1JUGYYcWWno251UyjyBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T02:21:33.790072Z","bundle_sha256":"14f0cd8f26685f37c9af697f7dc6eecfffc5d2ebcb15b0d22e4231bb6767ab3a"}}