{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WVNQ3T6SNSTTYO4DZCDXRVKRKQ","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":"62705df1593c425f9aaaa21f800e9362d1b5ab07c916083b388846d269ce8e2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-17T12:30:17Z","title_canon_sha256":"d37af4abe4f8ab10f8e86adb9cea9e7215ad33c30717912cf7ef40848d8b90a6"},"schema_version":"1.0","source":{"id":"2203.09287","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.09287","created_at":"2026-07-05T05:47:58Z"},{"alias_kind":"arxiv_version","alias_value":"2203.09287v2","created_at":"2026-07-05T05:47:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.09287","created_at":"2026-07-05T05:47:58Z"},{"alias_kind":"pith_short_12","alias_value":"WVNQ3T6SNSTT","created_at":"2026-07-05T05:47:58Z"},{"alias_kind":"pith_short_16","alias_value":"WVNQ3T6SNSTTYO4D","created_at":"2026-07-05T05:47:58Z"},{"alias_kind":"pith_short_8","alias_value":"WVNQ3T6S","created_at":"2026-07-05T05:47:58Z"}],"graph_snapshots":[{"event_id":"sha256:478cd90c6542169c1d32edea3202f87bf281fc2b2bfc17c2be774742437dad88","target":"graph","created_at":"2026-07-05T05:47:58Z","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/2203.09287/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monocular 3D motion capture (mocap) is beneficial to many applications. The use of a single camera, however, often fails to handle occlusions of different body parts and hence it is limited to capture relatively simple movements. We present a light-weight, hybrid mocap technique called HybridCap that augments the camera with only 4 Inertial Measurement Units (IMUs) in a learning-and-optimization framework. We first employ a weakly-supervised and hierarchical motion inference module based on cooperative Gated Recurrent Unit (GRU) blocks that serve as limb, body and root trackers as well as an i","authors_text":"Chengfeng Zhao, Han Liang, Jingya Wang, Jingyi Yu, Lan Xu, Mutian Li, Yannan He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-17T12:30:17Z","title":"HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.09287","kind":"arxiv","version":2},"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":"sha256:5a8c481ae5477a814c161f15e3f07c61d2a27a71adcd1e65b63da0e7a119dd8e","target":"record","created_at":"2026-07-05T05:47:58Z","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":"62705df1593c425f9aaaa21f800e9362d1b5ab07c916083b388846d269ce8e2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-17T12:30:17Z","title_canon_sha256":"d37af4abe4f8ab10f8e86adb9cea9e7215ad33c30717912cf7ef40848d8b90a6"},"schema_version":"1.0","source":{"id":"2203.09287","kind":"arxiv","version":2}},"canonical_sha256":"b55b0dcfd26ca73c3b83c88778d5515438fed9673b216fb42fd290740250c9b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b55b0dcfd26ca73c3b83c88778d5515438fed9673b216fb42fd290740250c9b0","first_computed_at":"2026-07-05T05:47:58.143167Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:58.143167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qtVabz3L/41hAKQO0Nq0x1N1DBPtKY52XcYHgQcRs+OWoCTjYkVe4UDCnwHqQLfnns3iYh0f/KpoCyy+YHETDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:58.143708Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.09287","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a8c481ae5477a814c161f15e3f07c61d2a27a71adcd1e65b63da0e7a119dd8e","sha256:478cd90c6542169c1d32edea3202f87bf281fc2b2bfc17c2be774742437dad88"],"state_sha256":"0f70dde8fa1cb7cb2866570ab796f2bc5369663e3106bed43d60069c1caf676e"}