{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:UMJYJIH7IKCYXJFC6SSE2M55OY","short_pith_number":"pith:UMJYJIH7","schema_version":"1.0","canonical_sha256":"a31384a0ff42858ba4a2f4a44d33bd763b2c728af634140ce0ff958ba8dd48a4","source":{"kind":"arxiv","id":"1901.03062","version":1},"attestation_state":"computed","paper":{"title":"PVSS: A Progressive Vehicle Search System for Video Surveillance Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huadong Ma, Shuangqun Li, Wu Liu, Xinchen Liu","submitted_at":"2019-01-10T09:02:08Z","abstract_excerpt":"This paper is focused on the task of searching for a specific vehicle that appeared in the surveillance networks. Existing methods usually assume the vehicle images are well cropped from the surveillance videos, then use visual attributes, like colors and types, or license plate numbers to match the target vehicle in the image set. However, a complete vehicle search system should consider the problems of vehicle detection, representation, indexing, storage, matching, and so on. Besides, attribute-based search cannot accurately find the same vehicle due to intra-instance changes in different ca"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1901.03062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-10T09:02:08Z","cross_cats_sorted":[],"title_canon_sha256":"94cafcd4d55d16b6f414f71290ffdb08ef45fff024bd40c865e650deb0bb828c","abstract_canon_sha256":"e033ab269dde0afc978c92a046855b1424922bbe1dd57126ef6b4cec87c9f2ab"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:35.652745Z","signature_b64":"0HbZOeA+RRORQlXwen901sE2OcqYLEhZ9jETphxeFZAIVY5+zi+3zsu/z2gRbtMFqFXWD8LExK6UNqYbEM0GDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a31384a0ff42858ba4a2f4a44d33bd763b2c728af634140ce0ff958ba8dd48a4","last_reissued_at":"2026-05-17T23:56:35.652284Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:35.652284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PVSS: A Progressive Vehicle Search System for Video Surveillance Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huadong Ma, Shuangqun Li, Wu Liu, Xinchen Liu","submitted_at":"2019-01-10T09:02:08Z","abstract_excerpt":"This paper is focused on the task of searching for a specific vehicle that appeared in the surveillance networks. Existing methods usually assume the vehicle images are well cropped from the surveillance videos, then use visual attributes, like colors and types, or license plate numbers to match the target vehicle in the image set. However, a complete vehicle search system should consider the problems of vehicle detection, representation, indexing, storage, matching, and so on. Besides, attribute-based search cannot accurately find the same vehicle due to intra-instance changes in different ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.03062","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1901.03062","created_at":"2026-05-17T23:56:35.652368+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.03062v1","created_at":"2026-05-17T23:56:35.652368+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.03062","created_at":"2026-05-17T23:56:35.652368+00:00"},{"alias_kind":"pith_short_12","alias_value":"UMJYJIH7IKCY","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"UMJYJIH7IKCYXJFC","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"UMJYJIH7","created_at":"2026-05-18T12:33:30.264802+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY","json":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY.json","graph_json":"https://pith.science/api/pith-number/UMJYJIH7IKCYXJFC6SSE2M55OY/graph.json","events_json":"https://pith.science/api/pith-number/UMJYJIH7IKCYXJFC6SSE2M55OY/events.json","paper":"https://pith.science/paper/UMJYJIH7"},"agent_actions":{"view_html":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY","download_json":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY.json","view_paper":"https://pith.science/paper/UMJYJIH7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.03062&json=true","fetch_graph":"https://pith.science/api/pith-number/UMJYJIH7IKCYXJFC6SSE2M55OY/graph.json","fetch_events":"https://pith.science/api/pith-number/UMJYJIH7IKCYXJFC6SSE2M55OY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY/action/storage_attestation","attest_author":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY/action/author_attestation","sign_citation":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY/action/citation_signature","submit_replication":"https://pith.science/pith/UMJYJIH7IKCYXJFC6SSE2M55OY/action/replication_record"}},"created_at":"2026-05-17T23:56:35.652368+00:00","updated_at":"2026-05-17T23:56:35.652368+00:00"}