{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RMD7RBQ7OXYXAPKRLPEKH3T7F4","short_pith_number":"pith:RMD7RBQ7","canonical_record":{"source":{"id":"2207.07418","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-15T11:57:14Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"b8d512025e36e24a6a9869a087323edbade092529ddcc407ab0a113648d11614","abstract_canon_sha256":"0e7982523696ae94bc182669e7d7c4b2c88a8dc0e452e6e75a15edcb6ecde6c1"},"schema_version":"1.0"},"canonical_sha256":"8b07f8861f75f1703d515bc8a3ee7f2f17675f1ae8f2506bec8e638c39f14550","source":{"kind":"arxiv","id":"2207.07418","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.07418","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"arxiv_version","alias_value":"2207.07418v1","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.07418","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"pith_short_12","alias_value":"RMD7RBQ7OXYX","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"pith_short_16","alias_value":"RMD7RBQ7OXYXAPKR","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"pith_short_8","alias_value":"RMD7RBQ7","created_at":"2026-07-05T06:35:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RMD7RBQ7OXYXAPKRLPEKH3T7F4","target":"record","payload":{"canonical_record":{"source":{"id":"2207.07418","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-15T11:57:14Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"b8d512025e36e24a6a9869a087323edbade092529ddcc407ab0a113648d11614","abstract_canon_sha256":"0e7982523696ae94bc182669e7d7c4b2c88a8dc0e452e6e75a15edcb6ecde6c1"},"schema_version":"1.0"},"canonical_sha256":"8b07f8861f75f1703d515bc8a3ee7f2f17675f1ae8f2506bec8e638c39f14550","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:35:04.461144Z","signature_b64":"jaCULXy7pBeaxc98p+BDurZkuwze0v1l6QolfyrNMCsW2afHaP9kUg+srCdt9T/Q4QJT8ZAGuVzb0qsXqlGOAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b07f8861f75f1703d515bc8a3ee7f2f17675f1ae8f2506bec8e638c39f14550","last_reissued_at":"2026-07-05T06:35:04.460679Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:35:04.460679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.07418","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":"2026-07-05T06:35:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HNSHBFFKPTlA9n3vfahb1AzsWYuViCFQgH/QVYjiUOtq8OUDxKtZaWL0QBkNlLmkut7l/XkZvYBzc6ZUPxSRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:53:44.791619Z"},"content_sha256":"41136b8414ade131857221c4185777b74f39981862ac679c6db80ad817654873","schema_version":"1.0","event_id":"sha256:41136b8414ade131857221c4185777b74f39981862ac679c6db80ad817654873"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RMD7RBQ7OXYXAPKRLPEKH3T7F4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Beat Peter M\\\"uller-Stich, Benjamin Alt, Christian Kunz, Darko Katic, Franziska Mathis-Ullrich, Martin Wagner, Rainer J\\\"akel, Rayan Younis","submitted_at":"2022-07-15T11:57:14Z","abstract_excerpt":"The semantic segmentation of surgical scenes is a prerequisite for task automation in robot assisted interventions. We propose LapSeg3D, a novel DNN-based approach for the voxel-wise annotation of point clouds representing surgical scenes. As the manual annotation of training data is highly time consuming, we introduce a semi-autonomous clustering-based pipeline for the annotation of the gallbladder, which is used to generate segmented labels for the DNN. When evaluated against manually annotated data, LapSeg3D achieves an F1 score of 0.94 for gallbladder segmentation on various datasets of ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.07418","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/2207.07418/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:35:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"st71n+VAj2OvNIuxHJIFmBH39h0u9vU7EAZyOVE4U3TXA9I8I5nA4Y3YTES2lZLJbLomLB+/swmvBnAjeRbHBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:53:44.792152Z"},"content_sha256":"f01501a8d95ea07d359b79630f590d0c23824c265106ac674f7811c4f18ae7f8","schema_version":"1.0","event_id":"sha256:f01501a8d95ea07d359b79630f590d0c23824c265106ac674f7811c4f18ae7f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4/bundle.json","state_url":"https://pith.science/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4/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":"2026-08-23T05:53:44Z","links":{"resolver":"https://pith.science/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4","bundle":"https://pith.science/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4/bundle.json","state":"https://pith.science/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RMD7RBQ7OXYXAPKRLPEKH3T7F4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RMD7RBQ7OXYXAPKRLPEKH3T7F4","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":"0e7982523696ae94bc182669e7d7c4b2c88a8dc0e452e6e75a15edcb6ecde6c1","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-15T11:57:14Z","title_canon_sha256":"b8d512025e36e24a6a9869a087323edbade092529ddcc407ab0a113648d11614"},"schema_version":"1.0","source":{"id":"2207.07418","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.07418","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"arxiv_version","alias_value":"2207.07418v1","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.07418","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"pith_short_12","alias_value":"RMD7RBQ7OXYX","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"pith_short_16","alias_value":"RMD7RBQ7OXYXAPKR","created_at":"2026-07-05T06:35:04Z"},{"alias_kind":"pith_short_8","alias_value":"RMD7RBQ7","created_at":"2026-07-05T06:35:04Z"}],"graph_snapshots":[{"event_id":"sha256:f01501a8d95ea07d359b79630f590d0c23824c265106ac674f7811c4f18ae7f8","target":"graph","created_at":"2026-07-05T06:35:04Z","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/2207.07418/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The semantic segmentation of surgical scenes is a prerequisite for task automation in robot assisted interventions. We propose LapSeg3D, a novel DNN-based approach for the voxel-wise annotation of point clouds representing surgical scenes. As the manual annotation of training data is highly time consuming, we introduce a semi-autonomous clustering-based pipeline for the annotation of the gallbladder, which is used to generate segmented labels for the DNN. When evaluated against manually annotated data, LapSeg3D achieves an F1 score of 0.94 for gallbladder segmentation on various datasets of ex","authors_text":"Beat Peter M\\\"uller-Stich, Benjamin Alt, Christian Kunz, Darko Katic, Franziska Mathis-Ullrich, Martin Wagner, Rainer J\\\"akel, Rayan Younis","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-15T11:57:14Z","title":"LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.07418","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":"sha256:41136b8414ade131857221c4185777b74f39981862ac679c6db80ad817654873","target":"record","created_at":"2026-07-05T06:35:04Z","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":"0e7982523696ae94bc182669e7d7c4b2c88a8dc0e452e6e75a15edcb6ecde6c1","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-15T11:57:14Z","title_canon_sha256":"b8d512025e36e24a6a9869a087323edbade092529ddcc407ab0a113648d11614"},"schema_version":"1.0","source":{"id":"2207.07418","kind":"arxiv","version":1}},"canonical_sha256":"8b07f8861f75f1703d515bc8a3ee7f2f17675f1ae8f2506bec8e638c39f14550","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b07f8861f75f1703d515bc8a3ee7f2f17675f1ae8f2506bec8e638c39f14550","first_computed_at":"2026-07-05T06:35:04.460679Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:35:04.460679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jaCULXy7pBeaxc98p+BDurZkuwze0v1l6QolfyrNMCsW2afHaP9kUg+srCdt9T/Q4QJT8ZAGuVzb0qsXqlGOAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:35:04.461144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.07418","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41136b8414ade131857221c4185777b74f39981862ac679c6db80ad817654873","sha256:f01501a8d95ea07d359b79630f590d0c23824c265106ac674f7811c4f18ae7f8"],"state_sha256":"f881206279d3648ae4e582e9e5a3e2cb3a580873f5489562c034b38011662b62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XJvSwaztMn7kH6pos8zzvhGW4aLPiYnA+MOuNmmUmeuhHZOsEzAoID20jyjURTWrC/DNi2IDACqtEgYEpcGYCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T05:53:44.796731Z","bundle_sha256":"6f01e72db0875981e3310504184e89cffc77909fecde4d32c7e0bcc9ca21b19f"}}