{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:RE3CFX23HOSDL745NB3ETAXQHR","short_pith_number":"pith:RE3CFX23","canonical_record":{"source":{"id":"2012.03762","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-07T14:58:25Z","cross_cats_sorted":[],"title_canon_sha256":"46002344a8fe461c82a00f4dc2b531139393ef7df9edb727b148db132c2d0332","abstract_canon_sha256":"a26cdfb2120329f0a1f23300ad999cad5c1c017e651a051defeabe7b9c006b64"},"schema_version":"1.0"},"canonical_sha256":"893622df5b3ba435ff9d68764982f03c44cbda8886cb4f41437d82b7f11eec46","source":{"kind":"arxiv","id":"2012.03762","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.03762","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"arxiv_version","alias_value":"2012.03762v1","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.03762","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"pith_short_12","alias_value":"RE3CFX23HOSD","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"pith_short_16","alias_value":"RE3CFX23HOSDL745","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"pith_short_8","alias_value":"RE3CFX23","created_at":"2026-07-05T01:57:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:RE3CFX23HOSDL745NB3ETAXQHR","target":"record","payload":{"canonical_record":{"source":{"id":"2012.03762","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-07T14:58:25Z","cross_cats_sorted":[],"title_canon_sha256":"46002344a8fe461c82a00f4dc2b531139393ef7df9edb727b148db132c2d0332","abstract_canon_sha256":"a26cdfb2120329f0a1f23300ad999cad5c1c017e651a051defeabe7b9c006b64"},"schema_version":"1.0"},"canonical_sha256":"893622df5b3ba435ff9d68764982f03c44cbda8886cb4f41437d82b7f11eec46","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:57:33.843713Z","signature_b64":"yPR1CxfkWKskKmoS5Y+/PerumtJe39fIrpKecb5MhxSRO0MqqJTFmwz6jaL349IOtkZR+srnVmIW3TSaRH2dCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"893622df5b3ba435ff9d68764982f03c44cbda8886cb4f41437d82b7f11eec46","last_reissued_at":"2026-07-05T01:57:33.843228Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:57:33.843228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.03762","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":"2026-07-05T01:57:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ad33rySPmahHPcP2vj4BSQoj2X4S70rL3aTAkO4b4duHgbAXMPNYpxQ22+SETDRRIFBwFpfBn88v+pEwCovlBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T23:12:45.615582Z"},"content_sha256":"225c5aa95016d6a26b68f1e435290b719898940721dbcd9ad9e2d03de670b80c","schema_version":"1.0","event_id":"sha256:225c5aa95016d6a26b68f1e435290b719898940721dbcd9ad9e2d03de670b80c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:RE3CFX23HOSDL745NB3ETAXQHR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiantao Gao, Jie Li, Rui Huang, Ruimao Zhang, Shuguang Cui, Xu Yan, Zhen Li","submitted_at":"2020-12-07T14:58:25Z","abstract_excerpt":"LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to achieve. In this paper, we propose a novel sparse LiDAR point cloud semantic segmentation framework assisted by learned contextual shape priors. In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input. By m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.03762","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/2012.03762/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":"2026-07-05T01:57:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CSO7w47E+wUxdzT+dc87Czsb0wjguVb5VFEPIktDdagUfraT7uXPABodP1oi2rRb45SN/eYF5EO2tcXe7f+WBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T23:12:45.615961Z"},"content_sha256":"0d0b2deca15a32ef12ab77276fdf42473480729882e363f71380cfc082669c02","schema_version":"1.0","event_id":"sha256:0d0b2deca15a32ef12ab77276fdf42473480729882e363f71380cfc082669c02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RE3CFX23HOSDL745NB3ETAXQHR/bundle.json","state_url":"https://pith.science/pith/RE3CFX23HOSDL745NB3ETAXQHR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RE3CFX23HOSDL745NB3ETAXQHR/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":"2026-08-22T23:12:45Z","links":{"resolver":"https://pith.science/pith/RE3CFX23HOSDL745NB3ETAXQHR","bundle":"https://pith.science/pith/RE3CFX23HOSDL745NB3ETAXQHR/bundle.json","state":"https://pith.science/pith/RE3CFX23HOSDL745NB3ETAXQHR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RE3CFX23HOSDL745NB3ETAXQHR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:RE3CFX23HOSDL745NB3ETAXQHR","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":"a26cdfb2120329f0a1f23300ad999cad5c1c017e651a051defeabe7b9c006b64","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-07T14:58:25Z","title_canon_sha256":"46002344a8fe461c82a00f4dc2b531139393ef7df9edb727b148db132c2d0332"},"schema_version":"1.0","source":{"id":"2012.03762","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.03762","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"arxiv_version","alias_value":"2012.03762v1","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.03762","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"pith_short_12","alias_value":"RE3CFX23HOSD","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"pith_short_16","alias_value":"RE3CFX23HOSDL745","created_at":"2026-07-05T01:57:33Z"},{"alias_kind":"pith_short_8","alias_value":"RE3CFX23","created_at":"2026-07-05T01:57:33Z"}],"graph_snapshots":[{"event_id":"sha256:0d0b2deca15a32ef12ab77276fdf42473480729882e363f71380cfc082669c02","target":"graph","created_at":"2026-07-05T01:57:33Z","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/2012.03762/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to achieve. In this paper, we propose a novel sparse LiDAR point cloud semantic segmentation framework assisted by learned contextual shape priors. In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input. By m","authors_text":"Jiantao Gao, Jie Li, Rui Huang, Ruimao Zhang, Shuguang Cui, Xu Yan, Zhen Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-07T14:58:25Z","title":"Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.03762","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":"sha256:225c5aa95016d6a26b68f1e435290b719898940721dbcd9ad9e2d03de670b80c","target":"record","created_at":"2026-07-05T01:57:33Z","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":"a26cdfb2120329f0a1f23300ad999cad5c1c017e651a051defeabe7b9c006b64","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-07T14:58:25Z","title_canon_sha256":"46002344a8fe461c82a00f4dc2b531139393ef7df9edb727b148db132c2d0332"},"schema_version":"1.0","source":{"id":"2012.03762","kind":"arxiv","version":1}},"canonical_sha256":"893622df5b3ba435ff9d68764982f03c44cbda8886cb4f41437d82b7f11eec46","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"893622df5b3ba435ff9d68764982f03c44cbda8886cb4f41437d82b7f11eec46","first_computed_at":"2026-07-05T01:57:33.843228Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:57:33.843228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yPR1CxfkWKskKmoS5Y+/PerumtJe39fIrpKecb5MhxSRO0MqqJTFmwz6jaL349IOtkZR+srnVmIW3TSaRH2dCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:57:33.843713Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.03762","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:225c5aa95016d6a26b68f1e435290b719898940721dbcd9ad9e2d03de670b80c","sha256:0d0b2deca15a32ef12ab77276fdf42473480729882e363f71380cfc082669c02"],"state_sha256":"0d2c786a223372e3dbca6c3c1a6c05434d5e89bbee57ca1cf8beee3c5399895a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MY39cCue+p/qDZA7aV1oPxyfJudy+cy6l4TObyefNpKDNI69R56OqzTujbGSrV5h0t73f5ggYcY69HD0MfbqDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T23:12:45.618641Z","bundle_sha256":"b1e329f0917ba080f0b0ab6f5c20811fb817d79ed7f961cec77c9321a501c6ba"}}