{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:VTCKRV5ZDVDDJLD4OH2QBRMQBL","short_pith_number":"pith:VTCKRV5Z","canonical_record":{"source":{"id":"1705.01583","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-03T19:13:23Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"552cde3bfa0b886600688b0ec2a5aa304cb056be87e0ef49ffd0606d645d803b","abstract_canon_sha256":"0418aa7368df6021cabe13479129dddb3eee5f580b34b8fe03793fa8403398ae"},"schema_version":"1.0"},"canonical_sha256":"acc4a8d7b91d4634ac7c71f500c5900af4b65f797114ac357156edaa1d0c262b","source":{"kind":"arxiv","id":"1705.01583","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.01583","created_at":"2026-05-18T00:00:09Z"},{"alias_kind":"arxiv_version","alias_value":"1705.01583v1","created_at":"2026-05-18T00:00:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.01583","created_at":"2026-05-18T00:00:09Z"},{"alias_kind":"pith_short_12","alias_value":"VTCKRV5ZDVDD","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VTCKRV5ZDVDDJLD4","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VTCKRV5Z","created_at":"2026-05-18T12:31:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:VTCKRV5ZDVDDJLD4OH2QBRMQBL","target":"record","payload":{"canonical_record":{"source":{"id":"1705.01583","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-03T19:13:23Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"552cde3bfa0b886600688b0ec2a5aa304cb056be87e0ef49ffd0606d645d803b","abstract_canon_sha256":"0418aa7368df6021cabe13479129dddb3eee5f580b34b8fe03793fa8403398ae"},"schema_version":"1.0"},"canonical_sha256":"acc4a8d7b91d4634ac7c71f500c5900af4b65f797114ac357156edaa1d0c262b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:09.281865Z","signature_b64":"njEQsaNktOBRmGdf87Wq32X842tJ2WKd+FEU51jD7hk2eb2MYzQ8JHbtE4rvxE+WK19hO748ZCoBa69yhpoAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"acc4a8d7b91d4634ac7c71f500c5900af4b65f797114ac357156edaa1d0c262b","last_reissued_at":"2026-05-18T00:00:09.281388Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:09.281388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.01583","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":"2026-05-18T00:00:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ngaPbw5jLEde3VLXpPRVJht4v2JEsx2Agy8UbuDg2KWVTBN8FC8GyPBti0v3SJNrDIjliL5BpiSmXge7OJeWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T05:54:03.655306Z"},"content_sha256":"5870b4ecd71fa5a0059cbc2b375fe57140002030386659604652c9d480fd381e","schema_version":"1.0","event_id":"sha256:5870b4ecd71fa5a0059cbc2b375fe57140002030386659604652c9d480fd381e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:VTCKRV5ZDVDDJLD4OH2QBRMQBL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Christian Theobalt, Dan Casas, Dushyant Mehta, Hans-Peter Seidel, Helge Rhodin, Mohammad Shafiei, Oleksandr Sotnychenko, Srinath Sridhar, Weipeng Xu","submitted_at":"2017-05-03T19:13:23Z","abstract_excerpt":"We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB camera. Our method combines a new convolutional neural network (CNN) based pose regressor with kinematic skeleton fitting. Our novel fully-convolutional pose formulation regresses 2D and 3D joint positions jointly in real time and does not require tightly cropped input frames. A real-time kinematic skeleton fitting method uses the CNN output to yield temporally stable 3D global pose reconstructions on the basis of a coherent kinematic skeleto"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.01583","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":"2026-05-18T00:00:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ZocoJbnPqytUPw0sH1+WCM1kR8lLJK2DJsalxCVQJBYWwmnCvSZ1rUkciq1W9UbuCnNT24xwv92IhD9LygYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T05:54:03.656048Z"},"content_sha256":"5d89aa70a1fcedba1d36542e5cd3a8e4d28f47d7d2fca17259ab6ed43906d347","schema_version":"1.0","event_id":"sha256:5d89aa70a1fcedba1d36542e5cd3a8e4d28f47d7d2fca17259ab6ed43906d347"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL/bundle.json","state_url":"https://pith.science/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL/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":"2026-06-06T05:54:03Z","links":{"resolver":"https://pith.science/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL","bundle":"https://pith.science/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL/bundle.json","state":"https://pith.science/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTCKRV5ZDVDDJLD4OH2QBRMQBL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VTCKRV5ZDVDDJLD4OH2QBRMQBL","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":"0418aa7368df6021cabe13479129dddb3eee5f580b34b8fe03793fa8403398ae","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-03T19:13:23Z","title_canon_sha256":"552cde3bfa0b886600688b0ec2a5aa304cb056be87e0ef49ffd0606d645d803b"},"schema_version":"1.0","source":{"id":"1705.01583","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.01583","created_at":"2026-05-18T00:00:09Z"},{"alias_kind":"arxiv_version","alias_value":"1705.01583v1","created_at":"2026-05-18T00:00:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.01583","created_at":"2026-05-18T00:00:09Z"},{"alias_kind":"pith_short_12","alias_value":"VTCKRV5ZDVDD","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VTCKRV5ZDVDDJLD4","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VTCKRV5Z","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:5d89aa70a1fcedba1d36542e5cd3a8e4d28f47d7d2fca17259ab6ed43906d347","target":"graph","created_at":"2026-05-18T00:00:09Z","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":"We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB camera. Our method combines a new convolutional neural network (CNN) based pose regressor with kinematic skeleton fitting. Our novel fully-convolutional pose formulation regresses 2D and 3D joint positions jointly in real time and does not require tightly cropped input frames. A real-time kinematic skeleton fitting method uses the CNN output to yield temporally stable 3D global pose reconstructions on the basis of a coherent kinematic skeleto","authors_text":"Christian Theobalt, Dan Casas, Dushyant Mehta, Hans-Peter Seidel, Helge Rhodin, Mohammad Shafiei, Oleksandr Sotnychenko, Srinath Sridhar, Weipeng Xu","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-03T19:13:23Z","title":"VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.01583","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":"sha256:5870b4ecd71fa5a0059cbc2b375fe57140002030386659604652c9d480fd381e","target":"record","created_at":"2026-05-18T00:00:09Z","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":"0418aa7368df6021cabe13479129dddb3eee5f580b34b8fe03793fa8403398ae","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-03T19:13:23Z","title_canon_sha256":"552cde3bfa0b886600688b0ec2a5aa304cb056be87e0ef49ffd0606d645d803b"},"schema_version":"1.0","source":{"id":"1705.01583","kind":"arxiv","version":1}},"canonical_sha256":"acc4a8d7b91d4634ac7c71f500c5900af4b65f797114ac357156edaa1d0c262b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"acc4a8d7b91d4634ac7c71f500c5900af4b65f797114ac357156edaa1d0c262b","first_computed_at":"2026-05-18T00:00:09.281388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:09.281388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"njEQsaNktOBRmGdf87Wq32X842tJ2WKd+FEU51jD7hk2eb2MYzQ8JHbtE4rvxE+WK19hO748ZCoBa69yhpoAAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:09.281865Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.01583","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5870b4ecd71fa5a0059cbc2b375fe57140002030386659604652c9d480fd381e","sha256:5d89aa70a1fcedba1d36542e5cd3a8e4d28f47d7d2fca17259ab6ed43906d347"],"state_sha256":"aad6631cec730d6f5279edb2b3a13a117fc7c32d9daa62ae271de7a4e4cfb10b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G+WqmfQcft0d5Gi+hwnJLevIJDNWhdmuh1iScEqUU1i+YnAiCpzw9OxVk++M12J6bTdhBuJiMC2B9h+IM1h8AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T05:54:03.660122Z","bundle_sha256":"ab2778e886b253cb297720146d23ca071a17f7383f99d4424a1163f8e8c7da88"}}