{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EUV3TSC3VBACEJFCXB7FCUFBB3","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":"b9914dd359443033267721ba7f57ed6b6956358836060bcaabe05eb727f9b12f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T05:53:14Z","title_canon_sha256":"f856c8216e1afeb2c7af141345eac6e83d51c019156bad80bb3c83cd1c46b404"},"schema_version":"1.0","source":{"id":"1904.09085","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09085","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09085v1","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09085","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"pith_short_12","alias_value":"EUV3TSC3VBAC","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EUV3TSC3VBACEJFC","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EUV3TSC3","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:75fc92f536ffa5a6ab1383996625477a1b0ba39aff731ec66b82723d8b4e85e2","target":"graph","created_at":"2026-05-17T23:48:08Z","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":"LiDAR (Light Detection And Ranging) is an essential and widely adopted sensor for autonomous vehicles, particularly for those vehicles operating at higher levels (L4-L5) of autonomy. Recent work has demonstrated the promise of deep-learning approaches for LiDAR-based detection. However, deep-learning algorithms are extremely data hungry, requiring large amounts of labeled point-cloud data for training and evaluation. Annotating LiDAR point cloud data is challenging due to the following issues: 1) A LiDAR point cloud is usually sparse and has low resolution, making it difficult for human annota","authors_text":"Bernie Wang, Bichen Wu, Kurt Keutzer, Virginia Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T05:53:14Z","title":"LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09085","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:fd910eac1e68c6732620a2a540bd0068a70967cb54a78b120d89d7b09b912a75","target":"record","created_at":"2026-05-17T23:48:08Z","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":"b9914dd359443033267721ba7f57ed6b6956358836060bcaabe05eb727f9b12f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T05:53:14Z","title_canon_sha256":"f856c8216e1afeb2c7af141345eac6e83d51c019156bad80bb3c83cd1c46b404"},"schema_version":"1.0","source":{"id":"1904.09085","kind":"arxiv","version":1}},"canonical_sha256":"252bb9c85ba8402224a2b87e5150a10ef2aad530f79b3ccb18cc92dcfd91fe12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"252bb9c85ba8402224a2b87e5150a10ef2aad530f79b3ccb18cc92dcfd91fe12","first_computed_at":"2026-05-17T23:48:08.405968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:08.405968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vtp8aPrW80NcBFNahtreXdzFc9V5yvblzSzRb2lWUf2sS+NuSaXtQEncZtlJ3Qwh9QbFCmFDldMyrbJOaCRGCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:08.406698Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09085","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd910eac1e68c6732620a2a540bd0068a70967cb54a78b120d89d7b09b912a75","sha256:75fc92f536ffa5a6ab1383996625477a1b0ba39aff731ec66b82723d8b4e85e2"],"state_sha256":"72848a23ae9f3137844c84fe6b1325a7424f9908d9f8551a1114ed242d8a88a4"}