{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:CWJRT3JP6G465JYMNNTCZPK2P6","short_pith_number":"pith:CWJRT3JP","canonical_record":{"source":{"id":"1803.10630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-27T06:09:36Z","cross_cats_sorted":[],"title_canon_sha256":"e73cf4117d82b68a7f14591e38e34dc5a7b612b8629b3c32dd82ef8e4859b9fd","abstract_canon_sha256":"7d755de797905cab4e5d036a97845c8cfa4ae4d827f7382214606a2972ed26a4"},"schema_version":"1.0"},"canonical_sha256":"159319ed2ff1b9eea70c6b662cbd5a7fbfb12b8bf6b94dd365df94e9bd8890b3","source":{"kind":"arxiv","id":"1803.10630","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.10630","created_at":"2026-05-18T00:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"1803.10630v1","created_at":"2026-05-18T00:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.10630","created_at":"2026-05-18T00:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"CWJRT3JP6G46","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"CWJRT3JP6G465JYM","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"CWJRT3JP","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:CWJRT3JP6G465JYMNNTCZPK2P6","target":"record","payload":{"canonical_record":{"source":{"id":"1803.10630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-27T06:09:36Z","cross_cats_sorted":[],"title_canon_sha256":"e73cf4117d82b68a7f14591e38e34dc5a7b612b8629b3c32dd82ef8e4859b9fd","abstract_canon_sha256":"7d755de797905cab4e5d036a97845c8cfa4ae4d827f7382214606a2972ed26a4"},"schema_version":"1.0"},"canonical_sha256":"159319ed2ff1b9eea70c6b662cbd5a7fbfb12b8bf6b94dd365df94e9bd8890b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:54.656739Z","signature_b64":"EV9a6FzavcRT4i+FH4uAVV5FvxNZrgrKuQ+WafYYoWAQW7ZCADWXx4YLBTFUY0oEqkfqS4SQM2yKt59KwxU3Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"159319ed2ff1b9eea70c6b662cbd5a7fbfb12b8bf6b94dd365df94e9bd8890b3","last_reissued_at":"2026-05-18T00:19:54.655971Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:54.655971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.10630","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":"2026-05-18T00:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uuQOTz6YK28EBHInUurD0SC+pHceVe0HRCoTB6uTj+/g5voiEnPC5VdsfpTCM97edWnO4qXzCT153bm804mPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T15:13:05.016131Z"},"content_sha256":"366f315fbf8dca438d6511399efcd34d97c2d8938e2c68472d0a42cff4e97843","schema_version":"1.0","event_id":"sha256:366f315fbf8dca438d6511399efcd34d97c2d8938e2c68472d0a42cff4e97843"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:CWJRT3JP6G465JYMNNTCZPK2P6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Person re-identification with fusion of hand-crafted and deep pose-based body region features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jubin Johnson, ShengMei Shen, Shunsuke Yasugi, Sugiri Pranata, Yoichi Sugino","submitted_at":"2018-03-27T06:09:36Z","abstract_excerpt":"Person re-identification (re-ID) aims to accurately re- trieve a person from a large-scale database of images cap- tured across multiple cameras. Existing works learn deep representations using a large training subset of unique per- sons. However, identifying unseen persons is critical for a good re-ID algorithm. Moreover, the misalignment be- tween person crops to detection errors or pose variations leads to poor feature matching. In this work, we present a fusion of handcrafted features and deep feature representa- tion learned using multiple body parts to complement the global body features"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.10630","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":"2026-05-18T00:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KVYF8uL9KU3sblrbfcm1QRAUrQUBMQdS6mkcgmiFWeypCnnrw+arugtueBof/Jw21LnsgUBHZ3bKvx1y8ZjbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T15:13:05.016492Z"},"content_sha256":"d7eb5f17ae480200b5a1cc390f286efc70f9b0688040e28d5fb58bfca3e2630c","schema_version":"1.0","event_id":"sha256:d7eb5f17ae480200b5a1cc390f286efc70f9b0688040e28d5fb58bfca3e2630c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CWJRT3JP6G465JYMNNTCZPK2P6/bundle.json","state_url":"https://pith.science/pith/CWJRT3JP6G465JYMNNTCZPK2P6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CWJRT3JP6G465JYMNNTCZPK2P6/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":"2026-07-02T15:13:05Z","links":{"resolver":"https://pith.science/pith/CWJRT3JP6G465JYMNNTCZPK2P6","bundle":"https://pith.science/pith/CWJRT3JP6G465JYMNNTCZPK2P6/bundle.json","state":"https://pith.science/pith/CWJRT3JP6G465JYMNNTCZPK2P6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CWJRT3JP6G465JYMNNTCZPK2P6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CWJRT3JP6G465JYMNNTCZPK2P6","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":"7d755de797905cab4e5d036a97845c8cfa4ae4d827f7382214606a2972ed26a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-27T06:09:36Z","title_canon_sha256":"e73cf4117d82b68a7f14591e38e34dc5a7b612b8629b3c32dd82ef8e4859b9fd"},"schema_version":"1.0","source":{"id":"1803.10630","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.10630","created_at":"2026-05-18T00:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"1803.10630v1","created_at":"2026-05-18T00:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.10630","created_at":"2026-05-18T00:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"CWJRT3JP6G46","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"CWJRT3JP6G465JYM","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"CWJRT3JP","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:d7eb5f17ae480200b5a1cc390f286efc70f9b0688040e28d5fb58bfca3e2630c","target":"graph","created_at":"2026-05-18T00:19:54Z","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":"Person re-identification (re-ID) aims to accurately re- trieve a person from a large-scale database of images cap- tured across multiple cameras. Existing works learn deep representations using a large training subset of unique per- sons. However, identifying unseen persons is critical for a good re-ID algorithm. Moreover, the misalignment be- tween person crops to detection errors or pose variations leads to poor feature matching. In this work, we present a fusion of handcrafted features and deep feature representa- tion learned using multiple body parts to complement the global body features","authors_text":"Jubin Johnson, ShengMei Shen, Shunsuke Yasugi, Sugiri Pranata, Yoichi Sugino","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-27T06:09:36Z","title":"Person re-identification with fusion of hand-crafted and deep pose-based body region features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.10630","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":"sha256:366f315fbf8dca438d6511399efcd34d97c2d8938e2c68472d0a42cff4e97843","target":"record","created_at":"2026-05-18T00:19:54Z","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":"7d755de797905cab4e5d036a97845c8cfa4ae4d827f7382214606a2972ed26a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-27T06:09:36Z","title_canon_sha256":"e73cf4117d82b68a7f14591e38e34dc5a7b612b8629b3c32dd82ef8e4859b9fd"},"schema_version":"1.0","source":{"id":"1803.10630","kind":"arxiv","version":1}},"canonical_sha256":"159319ed2ff1b9eea70c6b662cbd5a7fbfb12b8bf6b94dd365df94e9bd8890b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"159319ed2ff1b9eea70c6b662cbd5a7fbfb12b8bf6b94dd365df94e9bd8890b3","first_computed_at":"2026-05-18T00:19:54.655971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:54.655971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EV9a6FzavcRT4i+FH4uAVV5FvxNZrgrKuQ+WafYYoWAQW7ZCADWXx4YLBTFUY0oEqkfqS4SQM2yKt59KwxU3Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:54.656739Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.10630","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:366f315fbf8dca438d6511399efcd34d97c2d8938e2c68472d0a42cff4e97843","sha256:d7eb5f17ae480200b5a1cc390f286efc70f9b0688040e28d5fb58bfca3e2630c"],"state_sha256":"106c9316ade82a084eb6a7a49e8491c96e9b33418084e273ce51e5e48b20ac9d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JIKbSPIfHpXlZeDr2PzfcN09W2DK5JJMCTSfHmWJ5yJtDKXow+Qr+TMQLNLCwpc0SyqoUPAzQL+Op2ElfXSqDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T15:13:05.018360Z","bundle_sha256":"94ea2e641f69d93fa85fe7ca60ba767138c93224a1026713f8e1de3200d8b629"}}