{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:F6PVJ57PKP2UH4YSQIXTUQMODK","short_pith_number":"pith:F6PVJ57P","canonical_record":{"source":{"id":"1602.03468","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-10T17:56:47Z","cross_cats_sorted":[],"title_canon_sha256":"9f45fb7e82cc5797c93e99d8dd3722ce86df7f86f1ff231b561defaab84cf246","abstract_canon_sha256":"c4fbc85c96282a17b420b836f3a55ecaa49df9ee07079dc9d1fbef52c1cfd454"},"schema_version":"1.0"},"canonical_sha256":"2f9f54f7ef53f543f312822f3a418e1abb1c63988cfd53b7866f791f0ee22563","source":{"kind":"arxiv","id":"1602.03468","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.03468","created_at":"2026-05-18T00:52:08Z"},{"alias_kind":"arxiv_version","alias_value":"1602.03468v4","created_at":"2026-05-18T00:52:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.03468","created_at":"2026-05-18T00:52:08Z"},{"alias_kind":"pith_short_12","alias_value":"F6PVJ57PKP2U","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"F6PVJ57PKP2UH4YS","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"F6PVJ57P","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:F6PVJ57PKP2UH4YSQIXTUQMODK","target":"record","payload":{"canonical_record":{"source":{"id":"1602.03468","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-10T17:56:47Z","cross_cats_sorted":[],"title_canon_sha256":"9f45fb7e82cc5797c93e99d8dd3722ce86df7f86f1ff231b561defaab84cf246","abstract_canon_sha256":"c4fbc85c96282a17b420b836f3a55ecaa49df9ee07079dc9d1fbef52c1cfd454"},"schema_version":"1.0"},"canonical_sha256":"2f9f54f7ef53f543f312822f3a418e1abb1c63988cfd53b7866f791f0ee22563","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:08.521904Z","signature_b64":"Tw1jVEIRwpDVoJYiJODTXx5jkBqXCJusDGbWccbONM9voa0zR3PRB/lx6zamHnj7CS7o2x3w/WEydtizhEQ7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f9f54f7ef53f543f312822f3a418e1abb1c63988cfd53b7866f791f0ee22563","last_reissued_at":"2026-05-18T00:52:08.521220Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:08.521220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.03468","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":"2026-05-18T00:52:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KUWzDp+vaU7FrjkFYokAbhfezHmm1Po5qrqu71oPSLxt1JFTnymHrr4+MekBso7PHx/Et2Rc7lrUcvYpRwKtBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T01:54:11.369545Z"},"content_sha256":"fe734cbeafd2e29f57285c7651e48469569bbd2eb727f80c5b15c638891363d2","schema_version":"1.0","event_id":"sha256:fe734cbeafd2e29f57285c7651e48469569bbd2eb727f80c5b15c638891363d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:F6PVJ57PKP2UH4YSQIXTUQMODK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy","submitted_at":"2016-02-10T17:56:47Z","abstract_excerpt":"Reliable human pose estimation (HPE) is essential to many clinical applications, such as surgical workflow analysis, radiation safety monitoring and human-robot cooperation. Proposed methods for the operating room (OR) rely either on foreground estimation using a multi-camera system, which is a challenge in real ORs due to color similarities and frequent illumination changes, or on wearable sensors or markers, which are invasive and therefore difficult to introduce in the room. Instead, we propose a novel approach based on Pictorial Structures (PS) and on RGB-D data, which can be easily deploy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.03468","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":"2026-05-18T00:52:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cs6YMLvw38at+1qjKhYkvNUKYP6kcQlocakhQvzy/2VXrM6vLUY80JV1luDVfA9NOpBZkN/XIThRGkdo5KQKAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T01:54:11.370204Z"},"content_sha256":"b2bab87f2f966227bd214b0651946c834ec3f7d2aa1b63c9d00a9654f4d51d8e","schema_version":"1.0","event_id":"sha256:b2bab87f2f966227bd214b0651946c834ec3f7d2aa1b63c9d00a9654f4d51d8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F6PVJ57PKP2UH4YSQIXTUQMODK/bundle.json","state_url":"https://pith.science/pith/F6PVJ57PKP2UH4YSQIXTUQMODK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F6PVJ57PKP2UH4YSQIXTUQMODK/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":"2026-06-05T01:54:11Z","links":{"resolver":"https://pith.science/pith/F6PVJ57PKP2UH4YSQIXTUQMODK","bundle":"https://pith.science/pith/F6PVJ57PKP2UH4YSQIXTUQMODK/bundle.json","state":"https://pith.science/pith/F6PVJ57PKP2UH4YSQIXTUQMODK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F6PVJ57PKP2UH4YSQIXTUQMODK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:F6PVJ57PKP2UH4YSQIXTUQMODK","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":"c4fbc85c96282a17b420b836f3a55ecaa49df9ee07079dc9d1fbef52c1cfd454","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-10T17:56:47Z","title_canon_sha256":"9f45fb7e82cc5797c93e99d8dd3722ce86df7f86f1ff231b561defaab84cf246"},"schema_version":"1.0","source":{"id":"1602.03468","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.03468","created_at":"2026-05-18T00:52:08Z"},{"alias_kind":"arxiv_version","alias_value":"1602.03468v4","created_at":"2026-05-18T00:52:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.03468","created_at":"2026-05-18T00:52:08Z"},{"alias_kind":"pith_short_12","alias_value":"F6PVJ57PKP2U","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"F6PVJ57PKP2UH4YS","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"F6PVJ57P","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:b2bab87f2f966227bd214b0651946c834ec3f7d2aa1b63c9d00a9654f4d51d8e","target":"graph","created_at":"2026-05-18T00:52:08Z","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":"Reliable human pose estimation (HPE) is essential to many clinical applications, such as surgical workflow analysis, radiation safety monitoring and human-robot cooperation. Proposed methods for the operating room (OR) rely either on foreground estimation using a multi-camera system, which is a challenge in real ORs due to color similarities and frequent illumination changes, or on wearable sensors or markers, which are invasive and therefore difficult to introduce in the room. Instead, we propose a novel approach based on Pictorial Structures (PS) and on RGB-D data, which can be easily deploy","authors_text":"Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-10T17:56:47Z","title":"Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.03468","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:fe734cbeafd2e29f57285c7651e48469569bbd2eb727f80c5b15c638891363d2","target":"record","created_at":"2026-05-18T00:52:08Z","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":"c4fbc85c96282a17b420b836f3a55ecaa49df9ee07079dc9d1fbef52c1cfd454","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-10T17:56:47Z","title_canon_sha256":"9f45fb7e82cc5797c93e99d8dd3722ce86df7f86f1ff231b561defaab84cf246"},"schema_version":"1.0","source":{"id":"1602.03468","kind":"arxiv","version":4}},"canonical_sha256":"2f9f54f7ef53f543f312822f3a418e1abb1c63988cfd53b7866f791f0ee22563","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f9f54f7ef53f543f312822f3a418e1abb1c63988cfd53b7866f791f0ee22563","first_computed_at":"2026-05-18T00:52:08.521220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:52:08.521220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Tw1jVEIRwpDVoJYiJODTXx5jkBqXCJusDGbWccbONM9voa0zR3PRB/lx6zamHnj7CS7o2x3w/WEydtizhEQ7BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:52:08.521904Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.03468","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe734cbeafd2e29f57285c7651e48469569bbd2eb727f80c5b15c638891363d2","sha256:b2bab87f2f966227bd214b0651946c834ec3f7d2aa1b63c9d00a9654f4d51d8e"],"state_sha256":"b0dda6567073560d52af029f26d646f8fac2f20f6b06b0bb494c80156a7f6505"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FdSwrsfBshkwJNAx9EfsZFZNRW6vsRa81MR8ZsAvLFN8iztgV0+hdbve3/ok/FuZ0dWVqIu7AHhNGc/POPTMBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T01:54:11.373902Z","bundle_sha256":"a685850dff4f72816ad08b32c7b6aeade15efa9c58c90657deab06c1b24c73aa"}}