{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JD5TWG3DIGDUSSXM55NZIMJXKR","short_pith_number":"pith:JD5TWG3D","canonical_record":{"source":{"id":"1806.02952","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-08T02:50:19Z","cross_cats_sorted":[],"title_canon_sha256":"f36230d401ef27421dd807c95f3d4632bd5ffbb3d4c0f1158862c5d524e2fba2","abstract_canon_sha256":"63261e7c8c9784acb27d28aa010151dcd0de89122ad0cba2ef8520617a3181a6"},"schema_version":"1.0"},"canonical_sha256":"48fb3b1b634187494aecef5b943137545334532a9e5f31934219109594a75354","source":{"kind":"arxiv","id":"1806.02952","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02952","created_at":"2026-05-18T00:13:54Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02952v1","created_at":"2026-05-18T00:13:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02952","created_at":"2026-05-18T00:13:54Z"},{"alias_kind":"pith_short_12","alias_value":"JD5TWG3DIGDU","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JD5TWG3DIGDUSSXM","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JD5TWG3D","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JD5TWG3DIGDUSSXM55NZIMJXKR","target":"record","payload":{"canonical_record":{"source":{"id":"1806.02952","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-08T02:50:19Z","cross_cats_sorted":[],"title_canon_sha256":"f36230d401ef27421dd807c95f3d4632bd5ffbb3d4c0f1158862c5d524e2fba2","abstract_canon_sha256":"63261e7c8c9784acb27d28aa010151dcd0de89122ad0cba2ef8520617a3181a6"},"schema_version":"1.0"},"canonical_sha256":"48fb3b1b634187494aecef5b943137545334532a9e5f31934219109594a75354","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:54.176552Z","signature_b64":"PmRpOaCvy0CFJt0EQ1wpaEmxbPQLCmMtCwt+dRcrD5SWGcbF4jwTQE4U+u87hzgNA+yFJnDtT3/fzo/tuS0UAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48fb3b1b634187494aecef5b943137545334532a9e5f31934219109594a75354","last_reissued_at":"2026-05-18T00:13:54.175497Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:54.175497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.02952","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":"2026-05-18T00:13:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xgEZ0REEXLNngnvzSA6t8Bv4SRcKjHEhB2ZA0IlarxGtefqXDWufHWsiMYAcwwjJudg50ByaNsf0rDY2qz2gCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T23:52:53.826822Z"},"content_sha256":"7c04bf17cd8fd3bf5032f2edd88bf9fe5f171fcf215f20f136661299a59517cc","schema_version":"1.0","event_id":"sha256:7c04bf17cd8fd3bf5032f2edd88bf9fe5f171fcf215f20f136661299a59517cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JD5TWG3DIGDUSSXM55NZIMJXKR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RGCNN: Regularized Graph CNN for Point Cloud Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amin Zheng, Gusi Te, Wei Hu, Zongming Guo","submitted_at":"2018-06-08T02:50:19Z","abstract_excerpt":"Point cloud, an efficient 3D object representation, has become popular with the development of depth sensing and 3D laser scanning techniques. It has attracted attention in various applications such as 3D tele-presence, navigation for unmanned vehicles and heritage reconstruction. The understanding of point clouds, such as point cloud segmentation, is crucial in exploiting the informative value of point clouds for such applications. Due to the irregularity of the data format, previous deep learning works often convert point clouds to regular 3D voxel grids or collections of images before feedi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02952","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":"2026-05-18T00:13:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2VYVKMNTEGpnlfGyTq9feIbh/0JD4d1QKKuxTVoTEyDzDsjl4MMXnw51tH/N7HZqcIqhNijowY+k3BhaCPouAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T23:52:53.827537Z"},"content_sha256":"7f3ea97ae6cb17d75fdfe2d5cd6c1f06be5cdb68da1cccda9977c1c56353409d","schema_version":"1.0","event_id":"sha256:7f3ea97ae6cb17d75fdfe2d5cd6c1f06be5cdb68da1cccda9977c1c56353409d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JD5TWG3DIGDUSSXM55NZIMJXKR/bundle.json","state_url":"https://pith.science/pith/JD5TWG3DIGDUSSXM55NZIMJXKR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JD5TWG3DIGDUSSXM55NZIMJXKR/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":"2026-05-31T23:52:53Z","links":{"resolver":"https://pith.science/pith/JD5TWG3DIGDUSSXM55NZIMJXKR","bundle":"https://pith.science/pith/JD5TWG3DIGDUSSXM55NZIMJXKR/bundle.json","state":"https://pith.science/pith/JD5TWG3DIGDUSSXM55NZIMJXKR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JD5TWG3DIGDUSSXM55NZIMJXKR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JD5TWG3DIGDUSSXM55NZIMJXKR","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":"63261e7c8c9784acb27d28aa010151dcd0de89122ad0cba2ef8520617a3181a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-08T02:50:19Z","title_canon_sha256":"f36230d401ef27421dd807c95f3d4632bd5ffbb3d4c0f1158862c5d524e2fba2"},"schema_version":"1.0","source":{"id":"1806.02952","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02952","created_at":"2026-05-18T00:13:54Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02952v1","created_at":"2026-05-18T00:13:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02952","created_at":"2026-05-18T00:13:54Z"},{"alias_kind":"pith_short_12","alias_value":"JD5TWG3DIGDU","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JD5TWG3DIGDUSSXM","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JD5TWG3D","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:7f3ea97ae6cb17d75fdfe2d5cd6c1f06be5cdb68da1cccda9977c1c56353409d","target":"graph","created_at":"2026-05-18T00:13:54Z","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":"Point cloud, an efficient 3D object representation, has become popular with the development of depth sensing and 3D laser scanning techniques. It has attracted attention in various applications such as 3D tele-presence, navigation for unmanned vehicles and heritage reconstruction. The understanding of point clouds, such as point cloud segmentation, is crucial in exploiting the informative value of point clouds for such applications. Due to the irregularity of the data format, previous deep learning works often convert point clouds to regular 3D voxel grids or collections of images before feedi","authors_text":"Amin Zheng, Gusi Te, Wei Hu, Zongming Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-08T02:50:19Z","title":"RGCNN: Regularized Graph CNN for Point Cloud Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02952","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":"sha256:7c04bf17cd8fd3bf5032f2edd88bf9fe5f171fcf215f20f136661299a59517cc","target":"record","created_at":"2026-05-18T00:13:54Z","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":"63261e7c8c9784acb27d28aa010151dcd0de89122ad0cba2ef8520617a3181a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-08T02:50:19Z","title_canon_sha256":"f36230d401ef27421dd807c95f3d4632bd5ffbb3d4c0f1158862c5d524e2fba2"},"schema_version":"1.0","source":{"id":"1806.02952","kind":"arxiv","version":1}},"canonical_sha256":"48fb3b1b634187494aecef5b943137545334532a9e5f31934219109594a75354","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48fb3b1b634187494aecef5b943137545334532a9e5f31934219109594a75354","first_computed_at":"2026-05-18T00:13:54.175497Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:54.175497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PmRpOaCvy0CFJt0EQ1wpaEmxbPQLCmMtCwt+dRcrD5SWGcbF4jwTQE4U+u87hzgNA+yFJnDtT3/fzo/tuS0UAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:54.176552Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.02952","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c04bf17cd8fd3bf5032f2edd88bf9fe5f171fcf215f20f136661299a59517cc","sha256:7f3ea97ae6cb17d75fdfe2d5cd6c1f06be5cdb68da1cccda9977c1c56353409d"],"state_sha256":"fb78805fdfe55fcaa0ba1bb2e41b8fe5682d5f40f41e94391ac3447ce7d68845"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qt+4w1QrhbYa41RIP8ymbIDPmdqBs5OSo0rySSj09oHJEW0c8wVUEx7gRxGKArwSZ4kYLhbsvwMa9BeBN9QQDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T23:52:53.831565Z","bundle_sha256":"e168f580f0cda70ad979228aac365b0ffa04b109adf1a7055aa6c54bf274dad0"}}