{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:UVXT7HRMNHFBGC7W3UBEGWAGIK","short_pith_number":"pith:UVXT7HRM","canonical_record":{"source":{"id":"1512.03622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-11T12:34:22Z","cross_cats_sorted":[],"title_canon_sha256":"0cd8253330f94c585089439daa3738fc57c3affd68c5ff9812d94e7d1c00bbf7","abstract_canon_sha256":"18df66f263e2873628b57897f9ea23a105c60d3d56f0398bb9b3487c1846a13c"},"schema_version":"1.0"},"canonical_sha256":"a56f3f9e2c69ca130bf6dd0243580642abe37933a025eeba2168de4e8e2d2190","source":{"kind":"arxiv","id":"1512.03622","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03622","created_at":"2026-05-18T01:24:31Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03622v1","created_at":"2026-05-18T01:24:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03622","created_at":"2026-05-18T01:24:31Z"},{"alias_kind":"pith_short_12","alias_value":"UVXT7HRMNHFB","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"UVXT7HRMNHFBGC7W","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"UVXT7HRM","created_at":"2026-05-18T12:29:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:UVXT7HRMNHFBGC7W3UBEGWAGIK","target":"record","payload":{"canonical_record":{"source":{"id":"1512.03622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-11T12:34:22Z","cross_cats_sorted":[],"title_canon_sha256":"0cd8253330f94c585089439daa3738fc57c3affd68c5ff9812d94e7d1c00bbf7","abstract_canon_sha256":"18df66f263e2873628b57897f9ea23a105c60d3d56f0398bb9b3487c1846a13c"},"schema_version":"1.0"},"canonical_sha256":"a56f3f9e2c69ca130bf6dd0243580642abe37933a025eeba2168de4e8e2d2190","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:24:31.869007Z","signature_b64":"V72UXfDGk6p6vAyNRoPokvGxwcDjx7YBrRE7pSE4SXO1hgZsB7Jg3doWxi6u4Nk4V9YNTsw+SmoQksP6jTM3Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a56f3f9e2c69ca130bf6dd0243580642abe37933a025eeba2168de4e8e2d2190","last_reissued_at":"2026-05-18T01:24:31.868538Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:24:31.868538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.03622","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":"2026-05-18T01:24:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5+owbe07KVOONgSlFq49YSqtAqZgF65o961dixDLr4bPxCnUDEtZct3GGpk6Gsu01+JrUsQkF0Bs5oYJB/qLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:39:27.184230Z"},"content_sha256":"88298840ee3d56184736a8a9d5a8272ee34fcd0ff89cd288eda4fe30c3e1c408","schema_version":"1.0","event_id":"sha256:88298840ee3d56184736a8a9d5a8272ee34fcd0ff89cd288eda4fe30c3e1c408"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:UVXT7HRMNHFBGC7W3UBEGWAGIK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Feature Learning with Relative Distance Comparison for Person Re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guangrun Wang, Hongyang Chao, Liang Lin, Shengyong Ding","submitted_at":"2015-12-11T12:34:22Z","abstract_excerpt":"Identifying the same individual across different scenes is an important yet difficult task in intelligent video surveillance. Its main difficulty lies in how to preserve similarity of the same person against large appearance and structure variation while discriminating different individuals. In this paper, we present a scalable distance driven feature learning framework based on the deep neural network for person re-identification, and demonstrate its effectiveness to handle the existing challenges. Specifically, given the training images with the class labels (person IDs), we first produce a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03622","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":"2026-05-18T01:24:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8mI3fkTtFHi1Q4wGQ5KJ5EujDbIieZw+i2TeU1yPChPimIiES8iDFClMksj7ozh7VLy4adQwAz2Rjpv+aWnIBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:39:27.184711Z"},"content_sha256":"3e4efd836cba686cb324a35f8f519fdea90d1db56a3e4c656217c3bf6834ef1c","schema_version":"1.0","event_id":"sha256:3e4efd836cba686cb324a35f8f519fdea90d1db56a3e4c656217c3bf6834ef1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK/bundle.json","state_url":"https://pith.science/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK/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":"2026-05-31T12:39:27Z","links":{"resolver":"https://pith.science/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK","bundle":"https://pith.science/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK/bundle.json","state":"https://pith.science/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UVXT7HRMNHFBGC7W3UBEGWAGIK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:UVXT7HRMNHFBGC7W3UBEGWAGIK","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":"18df66f263e2873628b57897f9ea23a105c60d3d56f0398bb9b3487c1846a13c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-11T12:34:22Z","title_canon_sha256":"0cd8253330f94c585089439daa3738fc57c3affd68c5ff9812d94e7d1c00bbf7"},"schema_version":"1.0","source":{"id":"1512.03622","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03622","created_at":"2026-05-18T01:24:31Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03622v1","created_at":"2026-05-18T01:24:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03622","created_at":"2026-05-18T01:24:31Z"},{"alias_kind":"pith_short_12","alias_value":"UVXT7HRMNHFB","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"UVXT7HRMNHFBGC7W","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"UVXT7HRM","created_at":"2026-05-18T12:29:44Z"}],"graph_snapshots":[{"event_id":"sha256:3e4efd836cba686cb324a35f8f519fdea90d1db56a3e4c656217c3bf6834ef1c","target":"graph","created_at":"2026-05-18T01:24:31Z","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":"Identifying the same individual across different scenes is an important yet difficult task in intelligent video surveillance. Its main difficulty lies in how to preserve similarity of the same person against large appearance and structure variation while discriminating different individuals. In this paper, we present a scalable distance driven feature learning framework based on the deep neural network for person re-identification, and demonstrate its effectiveness to handle the existing challenges. Specifically, given the training images with the class labels (person IDs), we first produce a ","authors_text":"Guangrun Wang, Hongyang Chao, Liang Lin, Shengyong Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-11T12:34:22Z","title":"Deep Feature Learning with Relative Distance Comparison for Person Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03622","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":"sha256:88298840ee3d56184736a8a9d5a8272ee34fcd0ff89cd288eda4fe30c3e1c408","target":"record","created_at":"2026-05-18T01:24:31Z","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":"18df66f263e2873628b57897f9ea23a105c60d3d56f0398bb9b3487c1846a13c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-11T12:34:22Z","title_canon_sha256":"0cd8253330f94c585089439daa3738fc57c3affd68c5ff9812d94e7d1c00bbf7"},"schema_version":"1.0","source":{"id":"1512.03622","kind":"arxiv","version":1}},"canonical_sha256":"a56f3f9e2c69ca130bf6dd0243580642abe37933a025eeba2168de4e8e2d2190","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a56f3f9e2c69ca130bf6dd0243580642abe37933a025eeba2168de4e8e2d2190","first_computed_at":"2026-05-18T01:24:31.868538Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:24:31.868538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V72UXfDGk6p6vAyNRoPokvGxwcDjx7YBrRE7pSE4SXO1hgZsB7Jg3doWxi6u4Nk4V9YNTsw+SmoQksP6jTM3Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:24:31.869007Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.03622","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88298840ee3d56184736a8a9d5a8272ee34fcd0ff89cd288eda4fe30c3e1c408","sha256:3e4efd836cba686cb324a35f8f519fdea90d1db56a3e4c656217c3bf6834ef1c"],"state_sha256":"11fa710e85c6ab9a06f66725d0c678e2bc91a09641abf331963058afadadd8f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"raWnAZ+prezaR4sXMsG79903UtBw4ZoW4yK+IafgFuHzb3ZxDzbgfEXB65k51qywyYnidnbVYJ+Vm5drGtYyDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T12:39:27.187731Z","bundle_sha256":"31ec90798aefceef3827c1fca7ce1c0a7e5d10f92c135406baed8695d0e0c43b"}}