{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:HNYZT53UFFJIRU4B42SH5BWYAZ","short_pith_number":"pith:HNYZT53U","canonical_record":{"source":{"id":"1511.06692","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-20T17:08:18Z","cross_cats_sorted":[],"title_canon_sha256":"3430d93bda3cb2f0b9d8449dd241ee3b402fb1b6db07af7223be44c4dacf3562","abstract_canon_sha256":"98eb96d7f4d0998a72e79c1149fe5f0c09c1411228f2164c7d267bd9148a32cd"},"schema_version":"1.0"},"canonical_sha256":"3b7199f774295288d381e6a47e86d80653869052f3bcfc1fd14460ac4618426a","source":{"kind":"arxiv","id":"1511.06692","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06692","created_at":"2026-05-18T01:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06692v4","created_at":"2026-05-18T01:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06692","created_at":"2026-05-18T01:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"HNYZT53UFFJI","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"HNYZT53UFFJIRU4B","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"HNYZT53U","created_at":"2026-05-18T12:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:HNYZT53UFFJIRU4B42SH5BWYAZ","target":"record","payload":{"canonical_record":{"source":{"id":"1511.06692","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-20T17:08:18Z","cross_cats_sorted":[],"title_canon_sha256":"3430d93bda3cb2f0b9d8449dd241ee3b402fb1b6db07af7223be44c4dacf3562","abstract_canon_sha256":"98eb96d7f4d0998a72e79c1149fe5f0c09c1411228f2164c7d267bd9148a32cd"},"schema_version":"1.0"},"canonical_sha256":"3b7199f774295288d381e6a47e86d80653869052f3bcfc1fd14460ac4618426a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:06:24.530546Z","signature_b64":"/M7Pxbf9PWChKy12oRGezsR10ytewKFj6y+LDECUosa04cGozzTuXXx634NRJOtk2OCb60w6xn11v1E/+UKhBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b7199f774295288d381e6a47e86d80653869052f3bcfc1fd14460ac4618426a","last_reissued_at":"2026-05-18T01:06:24.530189Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:06:24.530189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.06692","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cGukj/X7syHBvpXLRlwbq+y5FSh8fXepWyeNkEAknU+ZvAEiqK55FGduPIdglhlKQHfj5kHcieoGSANGP2sZCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:53:08.757055Z"},"content_sha256":"be52fa6af00b7390cf169de7c4e995d5a3dd44d564bb81837545b71baef723f2","schema_version":"1.0","event_id":"sha256:be52fa6af00b7390cf169de7c4e995d5a3dd44d564bb81837545b71baef723f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:HNYZT53UFFJIRU4B42SH5BWYAZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Direct Prediction of 3D Body Poses from Motion Compensated Sequences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Artem Rozantsev, Bugra Tekin, Pascal Fua, Vincent Lepetit","submitted_at":"2015-11-20T17:08:18Z","abstract_excerpt":"We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processing step to resolve ambiguities. By contrast, we directly regress from a spatio-temporal volume of bounding boxes to a 3D pose in the central frame.\n  We further show that, for this approach to achieve its full potential, it is essential to compensate for the motion in consecutive frames so that the subject remains centered. This then allows u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06692","kind":"arxiv","version":4},"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":"2026-05-18T01:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bia7P29m9iH9zruk+8oG5xcsP8mLGMpsIPLMB+psSgd//zyw2RnBqvABqKSqM4lL0i7zSP31tnvnhjmgVGooBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:53:08.757411Z"},"content_sha256":"2f2e116865ea7a85dd107f248d28df3c3c78d91fecefb2d292b9d019be2e8678","schema_version":"1.0","event_id":"sha256:2f2e116865ea7a85dd107f248d28df3c3c78d91fecefb2d292b9d019be2e8678"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HNYZT53UFFJIRU4B42SH5BWYAZ/bundle.json","state_url":"https://pith.science/pith/HNYZT53UFFJIRU4B42SH5BWYAZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HNYZT53UFFJIRU4B42SH5BWYAZ/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":"2026-05-28T12:53:08Z","links":{"resolver":"https://pith.science/pith/HNYZT53UFFJIRU4B42SH5BWYAZ","bundle":"https://pith.science/pith/HNYZT53UFFJIRU4B42SH5BWYAZ/bundle.json","state":"https://pith.science/pith/HNYZT53UFFJIRU4B42SH5BWYAZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HNYZT53UFFJIRU4B42SH5BWYAZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:HNYZT53UFFJIRU4B42SH5BWYAZ","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":"98eb96d7f4d0998a72e79c1149fe5f0c09c1411228f2164c7d267bd9148a32cd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-20T17:08:18Z","title_canon_sha256":"3430d93bda3cb2f0b9d8449dd241ee3b402fb1b6db07af7223be44c4dacf3562"},"schema_version":"1.0","source":{"id":"1511.06692","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06692","created_at":"2026-05-18T01:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06692v4","created_at":"2026-05-18T01:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06692","created_at":"2026-05-18T01:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"HNYZT53UFFJI","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"HNYZT53UFFJIRU4B","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"HNYZT53U","created_at":"2026-05-18T12:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:2f2e116865ea7a85dd107f248d28df3c3c78d91fecefb2d292b9d019be2e8678","target":"graph","created_at":"2026-05-18T01:06:24Z","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 propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processing step to resolve ambiguities. By contrast, we directly regress from a spatio-temporal volume of bounding boxes to a 3D pose in the central frame.\n  We further show that, for this approach to achieve its full potential, it is essential to compensate for the motion in consecutive frames so that the subject remains centered. This then allows u","authors_text":"Artem Rozantsev, Bugra Tekin, Pascal Fua, Vincent Lepetit","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-20T17:08:18Z","title":"Direct Prediction of 3D Body Poses from Motion Compensated Sequences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06692","kind":"arxiv","version":4},"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:be52fa6af00b7390cf169de7c4e995d5a3dd44d564bb81837545b71baef723f2","target":"record","created_at":"2026-05-18T01:06:24Z","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":"98eb96d7f4d0998a72e79c1149fe5f0c09c1411228f2164c7d267bd9148a32cd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-20T17:08:18Z","title_canon_sha256":"3430d93bda3cb2f0b9d8449dd241ee3b402fb1b6db07af7223be44c4dacf3562"},"schema_version":"1.0","source":{"id":"1511.06692","kind":"arxiv","version":4}},"canonical_sha256":"3b7199f774295288d381e6a47e86d80653869052f3bcfc1fd14460ac4618426a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b7199f774295288d381e6a47e86d80653869052f3bcfc1fd14460ac4618426a","first_computed_at":"2026-05-18T01:06:24.530189Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:06:24.530189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/M7Pxbf9PWChKy12oRGezsR10ytewKFj6y+LDECUosa04cGozzTuXXx634NRJOtk2OCb60w6xn11v1E/+UKhBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:06:24.530546Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.06692","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be52fa6af00b7390cf169de7c4e995d5a3dd44d564bb81837545b71baef723f2","sha256:2f2e116865ea7a85dd107f248d28df3c3c78d91fecefb2d292b9d019be2e8678"],"state_sha256":"f283561e7f148fe1f7d4412975cb8b8e00299131af4e22b1fe04fa4b59168a18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VS1zhUzdiKWY8X1weMtUwzSTqkKsytlFa1WBvWW3RYCdHX+E0wKM/eEz1H2/IGse046PAFaiQOMZueEC64foAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:53:08.759323Z","bundle_sha256":"6f939a25bd35dc6282c6f883382b3c4de4e82917c28194596c45d245c4496716"}}