{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DFPY3BZCUBIFCAUDY46RAHGW6K","short_pith_number":"pith:DFPY3BZC","canonical_record":{"source":{"id":"2003.07139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-16T12:15:31Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"87a06f143ae50075309f2e7902d84b8027adf667dd245085ddb134df33263a06","abstract_canon_sha256":"68e0ffdb58c754c07a833c9b6b3b4d85e2df3285906f1b44672867161a29870e"},"schema_version":"1.0"},"canonical_sha256":"195f8d8722a050510283c73d101cd6f2be44e34d84bdc0474c41a50d6ec28877","source":{"kind":"arxiv","id":"2003.07139","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.07139","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"arxiv_version","alias_value":"2003.07139v1","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.07139","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"pith_short_12","alias_value":"DFPY3BZCUBIF","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"pith_short_16","alias_value":"DFPY3BZCUBIFCAUD","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"pith_short_8","alias_value":"DFPY3BZC","created_at":"2026-07-05T00:48:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DFPY3BZCUBIFCAUDY46RAHGW6K","target":"record","payload":{"canonical_record":{"source":{"id":"2003.07139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-16T12:15:31Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"87a06f143ae50075309f2e7902d84b8027adf667dd245085ddb134df33263a06","abstract_canon_sha256":"68e0ffdb58c754c07a833c9b6b3b4d85e2df3285906f1b44672867161a29870e"},"schema_version":"1.0"},"canonical_sha256":"195f8d8722a050510283c73d101cd6f2be44e34d84bdc0474c41a50d6ec28877","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:48:10.069616Z","signature_b64":"e9TSsMmgRa8zz7ZHE3td1DS+98M4L6p046HSIseOD9UirNgWBDZ4oV7VC1ZK5T8SB6/olA+zSnQKZyuXqrCVCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"195f8d8722a050510283c73d101cd6f2be44e34d84bdc0474c41a50d6ec28877","last_reissued_at":"2026-07-05T00:48:10.069178Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:48:10.069178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.07139","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":"2026-07-05T00:48:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mli/Pfvusdk7A/ktYOCk166pdSPC0DhpGhlLSt7rlldo/27giSDlMshcvJSCZJiBCqt5/K0Cvp4pqCM/hyRnBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:14:10.735656Z"},"content_sha256":"4c47973b8474853f810ae506882a8ed40838f3689e831c68397488d0c391e7de","schema_version":"1.0","event_id":"sha256:4c47973b8474853f810ae506882a8ed40838f3689e831c68397488d0c391e7de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DFPY3BZCUBIFCAUDY46RAHGW6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Fengqiang Xu, Guangqi Jiang, Huibing Wang, Jinjia Peng, Xianping Fu","submitted_at":"2020-03-16T12:15:31Z","abstract_excerpt":"With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehicle in large datasets from non-overlapping cameras should be highlighted, which has grown into a hot topic in promoting intelligent transportation systems. However, vehicle re-identification (re-ID) technology is a challenging task since vehicles of the same design or manufacturer show similar appearance. To fill these gaps, we tackle this challenge by proposing Triplet Center Loss based Part-aware Model (TCPM) that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.07139","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2003.07139/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T00:48:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lksUgYf03n1Y5tnkG0iBBdnwagCR0jWmd8TO14M5x+9Mp8+X1XSGrUKRy/6ViT36QEXBb6o+2LRf+NdwvD2UDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:14:10.736349Z"},"content_sha256":"da88e350d3700e0919149e164b9b3ffde9bfcf0d1a81b353f883395ddcfd5f63","schema_version":"1.0","event_id":"sha256:da88e350d3700e0919149e164b9b3ffde9bfcf0d1a81b353f883395ddcfd5f63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DFPY3BZCUBIFCAUDY46RAHGW6K/bundle.json","state_url":"https://pith.science/pith/DFPY3BZCUBIFCAUDY46RAHGW6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DFPY3BZCUBIFCAUDY46RAHGW6K/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":"2026-07-07T05:14:10Z","links":{"resolver":"https://pith.science/pith/DFPY3BZCUBIFCAUDY46RAHGW6K","bundle":"https://pith.science/pith/DFPY3BZCUBIFCAUDY46RAHGW6K/bundle.json","state":"https://pith.science/pith/DFPY3BZCUBIFCAUDY46RAHGW6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DFPY3BZCUBIFCAUDY46RAHGW6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DFPY3BZCUBIFCAUDY46RAHGW6K","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":"68e0ffdb58c754c07a833c9b6b3b4d85e2df3285906f1b44672867161a29870e","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-16T12:15:31Z","title_canon_sha256":"87a06f143ae50075309f2e7902d84b8027adf667dd245085ddb134df33263a06"},"schema_version":"1.0","source":{"id":"2003.07139","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.07139","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"arxiv_version","alias_value":"2003.07139v1","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.07139","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"pith_short_12","alias_value":"DFPY3BZCUBIF","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"pith_short_16","alias_value":"DFPY3BZCUBIFCAUD","created_at":"2026-07-05T00:48:10Z"},{"alias_kind":"pith_short_8","alias_value":"DFPY3BZC","created_at":"2026-07-05T00:48:10Z"}],"graph_snapshots":[{"event_id":"sha256:da88e350d3700e0919149e164b9b3ffde9bfcf0d1a81b353f883395ddcfd5f63","target":"graph","created_at":"2026-07-05T00:48:10Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2003.07139/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehicle in large datasets from non-overlapping cameras should be highlighted, which has grown into a hot topic in promoting intelligent transportation systems. However, vehicle re-identification (re-ID) technology is a challenging task since vehicles of the same design or manufacturer show similar appearance. To fill these gaps, we tackle this challenge by proposing Triplet Center Loss based Part-aware Model (TCPM) that ","authors_text":"Fengqiang Xu, Guangqi Jiang, Huibing Wang, Jinjia Peng, Xianping Fu","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-16T12:15:31Z","title":"Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.07139","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":"sha256:4c47973b8474853f810ae506882a8ed40838f3689e831c68397488d0c391e7de","target":"record","created_at":"2026-07-05T00:48:10Z","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":"68e0ffdb58c754c07a833c9b6b3b4d85e2df3285906f1b44672867161a29870e","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-16T12:15:31Z","title_canon_sha256":"87a06f143ae50075309f2e7902d84b8027adf667dd245085ddb134df33263a06"},"schema_version":"1.0","source":{"id":"2003.07139","kind":"arxiv","version":1}},"canonical_sha256":"195f8d8722a050510283c73d101cd6f2be44e34d84bdc0474c41a50d6ec28877","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"195f8d8722a050510283c73d101cd6f2be44e34d84bdc0474c41a50d6ec28877","first_computed_at":"2026-07-05T00:48:10.069178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:48:10.069178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e9TSsMmgRa8zz7ZHE3td1DS+98M4L6p046HSIseOD9UirNgWBDZ4oV7VC1ZK5T8SB6/olA+zSnQKZyuXqrCVCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:48:10.069616Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.07139","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c47973b8474853f810ae506882a8ed40838f3689e831c68397488d0c391e7de","sha256:da88e350d3700e0919149e164b9b3ffde9bfcf0d1a81b353f883395ddcfd5f63"],"state_sha256":"8a6e0eb398de7d4134a8e2f464b86c57cb9c88db7aa2ecc2155b3545a9cebd15"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K4vUZ2Fu+X8mNgsKM5xjj1RCzD8SGwCWUBadDcojaELlHZsN4Bl5eIAHTRxRtx3XtuJl4OIQ+eXpB8rW1qwhCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:14:10.739534Z","bundle_sha256":"963345a7311455fc23bcd760cb99706144aaa07f33a2419d6e68245440d54ba6"}}