{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BKB4S4SSN54TLRSY3ARKHMTR4G","short_pith_number":"pith:BKB4S4SS","canonical_record":{"source":{"id":"1902.10528","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-27T13:51:12Z","cross_cats_sorted":[],"title_canon_sha256":"24acb77948944c3546bc540315889a49f22e11cb74d503a6b2d8458fad16ce94","abstract_canon_sha256":"3a265dbbcff0ef687ab55f75e08e0511a0c4440e819a367f0549fb8c70c70b15"},"schema_version":"1.0"},"canonical_sha256":"0a83c972526f7935c658d822a3b271e190a47a6f20e1485bb060b127a5e15503","source":{"kind":"arxiv","id":"1902.10528","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.10528","created_at":"2026-05-17T23:52:30Z"},{"alias_kind":"arxiv_version","alias_value":"1902.10528v1","created_at":"2026-05-17T23:52:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.10528","created_at":"2026-05-17T23:52:30Z"},{"alias_kind":"pith_short_12","alias_value":"BKB4S4SSN54T","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BKB4S4SSN54TLRSY","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BKB4S4SS","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BKB4S4SSN54TLRSY3ARKHMTR4G","target":"record","payload":{"canonical_record":{"source":{"id":"1902.10528","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-27T13:51:12Z","cross_cats_sorted":[],"title_canon_sha256":"24acb77948944c3546bc540315889a49f22e11cb74d503a6b2d8458fad16ce94","abstract_canon_sha256":"3a265dbbcff0ef687ab55f75e08e0511a0c4440e819a367f0549fb8c70c70b15"},"schema_version":"1.0"},"canonical_sha256":"0a83c972526f7935c658d822a3b271e190a47a6f20e1485bb060b127a5e15503","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:30.621281Z","signature_b64":"EMOJQE3jU3aWr1vYuFKGxW351YruMIpPZnOSuotjGlNge3UnzFf4567r9sGErFydMRlNLJwepGVZB+kFWm40Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a83c972526f7935c658d822a3b271e190a47a6f20e1485bb060b127a5e15503","last_reissued_at":"2026-05-17T23:52:30.620846Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:30.620846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.10528","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":"2026-05-17T23:52:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cFRrBIHBdmO4ysi24845/yR8+Bm75H011rnJAJG8hVN4yBkFNYtvUa+i5dm7O5WsmgDy0meCEn6edyHFWCw6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T11:58:54.788011Z"},"content_sha256":"24a58268a74e304d946a732e209ce57415206022b60b9a1e8b20f20d068ba0a9","schema_version":"1.0","event_id":"sha256:24a58268a74e304d946a732e209ce57415206022b60b9a1e8b20f20d068ba0a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BKB4S4SSN54TLRSY3ARKHMTR4G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attributes-aided Part Detection and Refinement for Person Re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huimin Yu, Jing Zhang, Shuzhao Li, Wei Huang","submitted_at":"2019-02-27T13:51:12Z","abstract_excerpt":"Person attributes are often exploited as mid-level human semantic information to help promote the performance of person re-identification task. In this paper, unlike most existing methods simply taking attribute learning as a classification problem, we perform it in a different way with the motivation that attributes are related to specific local regions, which refers to the perceptual ability of attributes. We utilize the process of attribute detection to generate corresponding attribute-part detectors, whose invariance to many influences like poses and camera views can be guaranteed. With de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.10528","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":"2026-05-17T23:52:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3URWcQmas7fk6hc60xk250WhRCnfD8GXiin0nkmtkbYeY/M+SPQdvZO3wCGzt/WMj8F4TlAcjMAEg69/gWaRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T11:58:54.788764Z"},"content_sha256":"899857b72a530e80f696b7ffd2dc4a00d917ddb1852cc50612c070dbb7115bd8","schema_version":"1.0","event_id":"sha256:899857b72a530e80f696b7ffd2dc4a00d917ddb1852cc50612c070dbb7115bd8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BKB4S4SSN54TLRSY3ARKHMTR4G/bundle.json","state_url":"https://pith.science/pith/BKB4S4SSN54TLRSY3ARKHMTR4G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BKB4S4SSN54TLRSY3ARKHMTR4G/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":"2026-05-25T11:58:54Z","links":{"resolver":"https://pith.science/pith/BKB4S4SSN54TLRSY3ARKHMTR4G","bundle":"https://pith.science/pith/BKB4S4SSN54TLRSY3ARKHMTR4G/bundle.json","state":"https://pith.science/pith/BKB4S4SSN54TLRSY3ARKHMTR4G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BKB4S4SSN54TLRSY3ARKHMTR4G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BKB4S4SSN54TLRSY3ARKHMTR4G","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":"3a265dbbcff0ef687ab55f75e08e0511a0c4440e819a367f0549fb8c70c70b15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-27T13:51:12Z","title_canon_sha256":"24acb77948944c3546bc540315889a49f22e11cb74d503a6b2d8458fad16ce94"},"schema_version":"1.0","source":{"id":"1902.10528","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.10528","created_at":"2026-05-17T23:52:30Z"},{"alias_kind":"arxiv_version","alias_value":"1902.10528v1","created_at":"2026-05-17T23:52:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.10528","created_at":"2026-05-17T23:52:30Z"},{"alias_kind":"pith_short_12","alias_value":"BKB4S4SSN54T","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BKB4S4SSN54TLRSY","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BKB4S4SS","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:899857b72a530e80f696b7ffd2dc4a00d917ddb1852cc50612c070dbb7115bd8","target":"graph","created_at":"2026-05-17T23:52:30Z","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 attributes are often exploited as mid-level human semantic information to help promote the performance of person re-identification task. In this paper, unlike most existing methods simply taking attribute learning as a classification problem, we perform it in a different way with the motivation that attributes are related to specific local regions, which refers to the perceptual ability of attributes. We utilize the process of attribute detection to generate corresponding attribute-part detectors, whose invariance to many influences like poses and camera views can be guaranteed. With de","authors_text":"Huimin Yu, Jing Zhang, Shuzhao Li, Wei Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-27T13:51:12Z","title":"Attributes-aided Part Detection and Refinement for Person Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.10528","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":"sha256:24a58268a74e304d946a732e209ce57415206022b60b9a1e8b20f20d068ba0a9","target":"record","created_at":"2026-05-17T23:52:30Z","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":"3a265dbbcff0ef687ab55f75e08e0511a0c4440e819a367f0549fb8c70c70b15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-27T13:51:12Z","title_canon_sha256":"24acb77948944c3546bc540315889a49f22e11cb74d503a6b2d8458fad16ce94"},"schema_version":"1.0","source":{"id":"1902.10528","kind":"arxiv","version":1}},"canonical_sha256":"0a83c972526f7935c658d822a3b271e190a47a6f20e1485bb060b127a5e15503","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a83c972526f7935c658d822a3b271e190a47a6f20e1485bb060b127a5e15503","first_computed_at":"2026-05-17T23:52:30.620846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:30.620846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EMOJQE3jU3aWr1vYuFKGxW351YruMIpPZnOSuotjGlNge3UnzFf4567r9sGErFydMRlNLJwepGVZB+kFWm40Cg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:30.621281Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.10528","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24a58268a74e304d946a732e209ce57415206022b60b9a1e8b20f20d068ba0a9","sha256:899857b72a530e80f696b7ffd2dc4a00d917ddb1852cc50612c070dbb7115bd8"],"state_sha256":"144af651a19978a7eef10e0d1b7e95ef18087d65ba69729a0730cc613dc34f07"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a98NEsVVhHUDLrDogoQaSrCQ5sBcZxlLWApXxjjmxDmsYm9URlBksVf30//4NioSVlaeceyRypiS7vGkfiy3Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T11:58:54.793006Z","bundle_sha256":"2e37c6e77c4f856aef0e9eaedd2607d904c860648bc79d1a985fcb12196be052"}}