{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:5H7FE6F2GWED5ZCRANZMYG2PGP","short_pith_number":"pith:5H7FE6F2","canonical_record":{"source":{"id":"1608.08526","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-30T16:00:42Z","cross_cats_sorted":[],"title_canon_sha256":"9c8bc3faa07be9f1e642f4a96b286741ea9853da324d921f3af92020330b4bda","abstract_canon_sha256":"07952ed3f4a3566560f4b59114d99c2a4466a77d5a97288deeab08e06299b9c1"},"schema_version":"1.0"},"canonical_sha256":"e9fe5278ba35883ee4510372cc1b4f33c6b0eade7d2621f85b158d645ed7f704","source":{"kind":"arxiv","id":"1608.08526","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.08526","created_at":"2026-05-18T01:06:40Z"},{"alias_kind":"arxiv_version","alias_value":"1608.08526v2","created_at":"2026-05-18T01:06:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08526","created_at":"2026-05-18T01:06:40Z"},{"alias_kind":"pith_short_12","alias_value":"5H7FE6F2GWED","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"5H7FE6F2GWED5ZCR","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"5H7FE6F2","created_at":"2026-05-18T12:30:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:5H7FE6F2GWED5ZCRANZMYG2PGP","target":"record","payload":{"canonical_record":{"source":{"id":"1608.08526","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-30T16:00:42Z","cross_cats_sorted":[],"title_canon_sha256":"9c8bc3faa07be9f1e642f4a96b286741ea9853da324d921f3af92020330b4bda","abstract_canon_sha256":"07952ed3f4a3566560f4b59114d99c2a4466a77d5a97288deeab08e06299b9c1"},"schema_version":"1.0"},"canonical_sha256":"e9fe5278ba35883ee4510372cc1b4f33c6b0eade7d2621f85b158d645ed7f704","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:06:40.301696Z","signature_b64":"HiGG974QM/rvDfGkDzCj50FXKn83EUikc/Vt//kXFTNdB2Vway3BqMSCSdGQmxiUl1gWemd6EIE/fZ7xxfrPBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9fe5278ba35883ee4510372cc1b4f33c6b0eade7d2621f85b158d645ed7f704","last_reissued_at":"2026-05-18T01:06:40.301072Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:06:40.301072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.08526","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:06:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PIJtY1dS2D7vJ+1Da8U9NoDh3TUNnFYU9VNPbWO8040DTU5b7VXQKgxhqR9Gw/u6Grfm4ATv6gZe3UDzR1sjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T20:39:32.095616Z"},"content_sha256":"839d66f554e1b05d2ce28b565eab75806396ef7c09e959f3545fd5dcb87ceff5","schema_version":"1.0","event_id":"sha256:839d66f554e1b05d2ce28b565eab75806396ef7c09e959f3545fd5dcb87ceff5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:5H7FE6F2GWED5ZCRANZMYG2PGP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Person Pose Estimation with Local Joint-to-Person Associations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Juergen Gall, Umar Iqbal","submitted_at":"2016-08-30T16:00:42Z","abstract_excerpt":"Despite of the recent success of neural networks for human pose estimation, current approaches are limited to pose estimation of a single person and cannot handle humans in groups or crowds. In this work, we propose a method that estimates the poses of multiple persons in an image in which a person can be occluded by another person or might be truncated. To this end, we consider multi-person pose estimation as a joint-to-person association problem. We construct a fully connected graph from a set of detected joint candidates in an image and resolve the joint-to-person association and outlier de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08526","kind":"arxiv","version":2},"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":"2026-05-18T01:06:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+lET8GhM7oVDsyklxQl6tSqGl//Bxb0iD9/ZLPC9brgzeWTmBf2rX0pMpREXi+NTseInU7aRjZb0NsZZrUN8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T20:39:32.096108Z"},"content_sha256":"b9ff9fb19ad87dded1e48250069df58f8fc27f9373084ca498303141d926c4da","schema_version":"1.0","event_id":"sha256:b9ff9fb19ad87dded1e48250069df58f8fc27f9373084ca498303141d926c4da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5H7FE6F2GWED5ZCRANZMYG2PGP/bundle.json","state_url":"https://pith.science/pith/5H7FE6F2GWED5ZCRANZMYG2PGP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5H7FE6F2GWED5ZCRANZMYG2PGP/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":"2026-05-30T20:39:32Z","links":{"resolver":"https://pith.science/pith/5H7FE6F2GWED5ZCRANZMYG2PGP","bundle":"https://pith.science/pith/5H7FE6F2GWED5ZCRANZMYG2PGP/bundle.json","state":"https://pith.science/pith/5H7FE6F2GWED5ZCRANZMYG2PGP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5H7FE6F2GWED5ZCRANZMYG2PGP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:5H7FE6F2GWED5ZCRANZMYG2PGP","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":"07952ed3f4a3566560f4b59114d99c2a4466a77d5a97288deeab08e06299b9c1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-30T16:00:42Z","title_canon_sha256":"9c8bc3faa07be9f1e642f4a96b286741ea9853da324d921f3af92020330b4bda"},"schema_version":"1.0","source":{"id":"1608.08526","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.08526","created_at":"2026-05-18T01:06:40Z"},{"alias_kind":"arxiv_version","alias_value":"1608.08526v2","created_at":"2026-05-18T01:06:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08526","created_at":"2026-05-18T01:06:40Z"},{"alias_kind":"pith_short_12","alias_value":"5H7FE6F2GWED","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"5H7FE6F2GWED5ZCR","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"5H7FE6F2","created_at":"2026-05-18T12:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:b9ff9fb19ad87dded1e48250069df58f8fc27f9373084ca498303141d926c4da","target":"graph","created_at":"2026-05-18T01:06:40Z","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":"Despite of the recent success of neural networks for human pose estimation, current approaches are limited to pose estimation of a single person and cannot handle humans in groups or crowds. In this work, we propose a method that estimates the poses of multiple persons in an image in which a person can be occluded by another person or might be truncated. To this end, we consider multi-person pose estimation as a joint-to-person association problem. We construct a fully connected graph from a set of detected joint candidates in an image and resolve the joint-to-person association and outlier de","authors_text":"Juergen Gall, Umar Iqbal","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-30T16:00:42Z","title":"Multi-Person Pose Estimation with Local Joint-to-Person Associations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08526","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":"sha256:839d66f554e1b05d2ce28b565eab75806396ef7c09e959f3545fd5dcb87ceff5","target":"record","created_at":"2026-05-18T01:06:40Z","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":"07952ed3f4a3566560f4b59114d99c2a4466a77d5a97288deeab08e06299b9c1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-30T16:00:42Z","title_canon_sha256":"9c8bc3faa07be9f1e642f4a96b286741ea9853da324d921f3af92020330b4bda"},"schema_version":"1.0","source":{"id":"1608.08526","kind":"arxiv","version":2}},"canonical_sha256":"e9fe5278ba35883ee4510372cc1b4f33c6b0eade7d2621f85b158d645ed7f704","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9fe5278ba35883ee4510372cc1b4f33c6b0eade7d2621f85b158d645ed7f704","first_computed_at":"2026-05-18T01:06:40.301072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:06:40.301072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HiGG974QM/rvDfGkDzCj50FXKn83EUikc/Vt//kXFTNdB2Vway3BqMSCSdGQmxiUl1gWemd6EIE/fZ7xxfrPBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:06:40.301696Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.08526","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:839d66f554e1b05d2ce28b565eab75806396ef7c09e959f3545fd5dcb87ceff5","sha256:b9ff9fb19ad87dded1e48250069df58f8fc27f9373084ca498303141d926c4da"],"state_sha256":"e0e6065f4ee3b6dbf7ae52ccd356012f513883e2f6762942d6876d0c271484fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lfXX3HMbl0LGkm8M3VO7gk7GM8wOaokeidXW1veFYbFugM4DEHMjp5EW+XVe6EuUfFpY7RwmBeAldwwwpgcNCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T20:39:32.099640Z","bundle_sha256":"9558501553a6c2cbd548a45e71530e47c08d4d4d600c6b150e32a61412c4a4f9"}}