{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2ADDBJ4RRCUNIDRJTPETNHLRUV","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":"3b6ce64b244f06cb0844b1db4fb689fb0f074eda5fc3d0e0ea7c5f13fe4fd4fb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T12:52:45Z","title_canon_sha256":"72b7b97890c2777efe9d90e1650c739fe067d53ed7b61ac4674249d4d6e378c1"},"schema_version":"1.0","source":{"id":"2203.14698","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14698","created_at":"2026-07-05T04:09:08Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14698v1","created_at":"2026-07-05T04:09:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14698","created_at":"2026-07-05T04:09:08Z"},{"alias_kind":"pith_short_12","alias_value":"2ADDBJ4RRCUN","created_at":"2026-07-05T04:09:08Z"},{"alias_kind":"pith_short_16","alias_value":"2ADDBJ4RRCUNIDRJ","created_at":"2026-07-05T04:09:08Z"},{"alias_kind":"pith_short_8","alias_value":"2ADDBJ4R","created_at":"2026-07-05T04:09:08Z"}],"graph_snapshots":[{"event_id":"sha256:ed2ffa329e4224f56bfd1fb00bf29e9923a976852a0a2dede0b43ae60e5af244","target":"graph","created_at":"2026-07-05T04:09:08Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2203.14698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing motion capture datasets are largely short-range and cannot yet fit the need of long-range applications. We propose LiDARHuman26M, a new human motion capture dataset captured by LiDAR at a much longer range to overcome this limitation. Our dataset also includes the ground truth human motions acquired by the IMU system and the synchronous RGB images. We further present a strong baseline method, LiDARCap, for LiDAR point cloud human motion capture. Specifically, we first utilize PointNet++ to encode features of points and then employ the inverse kinematics solver and SMPL optimizer to re","authors_text":"Chenglu Wen, Cheng Wang, Jialian Li, Jingyi Yu, Jingyi Zhang, Lan Xu, Siqi Shen, Yuexin Ma, Zhiyong Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T12:52:45Z","title":"LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14698","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:e781d8e3789d6fe6e037f87f3919af121778759d4df191cc1485f1e7090e4d3c","target":"record","created_at":"2026-07-05T04:09:08Z","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":"3b6ce64b244f06cb0844b1db4fb689fb0f074eda5fc3d0e0ea7c5f13fe4fd4fb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-28T12:52:45Z","title_canon_sha256":"72b7b97890c2777efe9d90e1650c739fe067d53ed7b61ac4674249d4d6e378c1"},"schema_version":"1.0","source":{"id":"2203.14698","kind":"arxiv","version":1}},"canonical_sha256":"d00630a79188a8d40e299bc9369d71a564a9e0c4eb1adfdeb907b7049db8c0bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d00630a79188a8d40e299bc9369d71a564a9e0c4eb1adfdeb907b7049db8c0bb","first_computed_at":"2026-07-05T04:09:08.040191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:08.040191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uUPdPtSrnQMzHQfu9kNvjnYpVIKY1SQLXYgr/y1YgWZmAXYoWJEm+muoO2HzSem3/DAisVD7T1x9U+Ita+cqDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:08.040625Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.14698","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e781d8e3789d6fe6e037f87f3919af121778759d4df191cc1485f1e7090e4d3c","sha256:ed2ffa329e4224f56bfd1fb00bf29e9923a976852a0a2dede0b43ae60e5af244"],"state_sha256":"2d96f9691ef2115e526d9dae42f33fbb287fc93779c68b3dd63ba8f50a238e5d"}