{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:SSYWHTR3EZEUEUASA46WJAPPNC","short_pith_number":"pith:SSYWHTR3","schema_version":"1.0","canonical_sha256":"94b163ce3b2649425012073d6481ef6891a2d5f7f0cca9bfd2d1a84378a7b352","source":{"kind":"arxiv","id":"2605.19527","version":1},"attestation_state":"computed","paper":{"title":"Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kai Feng, Shaotong Qiao, Wei Wei, Zhangjian Ji","submitted_at":"2026-05-19T08:29:01Z","abstract_excerpt":"Occluded person re-identification focuses on matching partially visible pedestrians across multiple camera views. However, occlusions disrupt body-region cues, thereby complicating cross-view matching. Most person ReID methods built on pretrained vision-language models only focus on enhancing prompt-based feature learning while ignoring the semantic information of occluders. Based on the success of CLIP-ReID, we propose a novel Dual Prompt Learning ReID (DPL-ReID) model for occluded person ReID. It incorporates a Dual Prompt Learning (Dual-PL) strategy, which can utilize textual cues to captur"},"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":"2605.19527","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T08:29:01Z","cross_cats_sorted":[],"title_canon_sha256":"2d9a2f5b63b8dc6593661a1e559266ef25cf12f5427d024ba760d973c76a119f","abstract_canon_sha256":"4fa511ebbaccec89f5db76466e4eb60a4e4c8a528303053a3df78826cdea07aa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:50.214744Z","signature_b64":"C+qN1vRrk06SR009hTqvo6g1zpDoZBwv7pjqs/SqoIDHsYPmWWXgkT4K4YNAPYGBIoUxLQmLiJ6goqZ5EOdTDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94b163ce3b2649425012073d6481ef6891a2d5f7f0cca9bfd2d1a84378a7b352","last_reissued_at":"2026-05-20T01:05:50.213931Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:50.213931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kai Feng, Shaotong Qiao, Wei Wei, Zhangjian Ji","submitted_at":"2026-05-19T08:29:01Z","abstract_excerpt":"Occluded person re-identification focuses on matching partially visible pedestrians across multiple camera views. However, occlusions disrupt body-region cues, thereby complicating cross-view matching. Most person ReID methods built on pretrained vision-language models only focus on enhancing prompt-based feature learning while ignoring the semantic information of occluders. Based on the success of CLIP-ReID, we propose a novel Dual Prompt Learning ReID (DPL-ReID) model for occluded person ReID. It incorporates a Dual Prompt Learning (Dual-PL) strategy, which can utilize textual cues to captur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19527","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/2605.19527/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.19527","created_at":"2026-05-20T01:05:50.214068+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.19527v1","created_at":"2026-05-20T01:05:50.214068+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19527","created_at":"2026-05-20T01:05:50.214068+00:00"},{"alias_kind":"pith_short_12","alias_value":"SSYWHTR3EZEU","created_at":"2026-05-20T01:05:50.214068+00:00"},{"alias_kind":"pith_short_16","alias_value":"SSYWHTR3EZEUEUAS","created_at":"2026-05-20T01:05:50.214068+00:00"},{"alias_kind":"pith_short_8","alias_value":"SSYWHTR3","created_at":"2026-05-20T01:05:50.214068+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/SSYWHTR3EZEUEUASA46WJAPPNC","json":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC.json","graph_json":"https://pith.science/api/pith-number/SSYWHTR3EZEUEUASA46WJAPPNC/graph.json","events_json":"https://pith.science/api/pith-number/SSYWHTR3EZEUEUASA46WJAPPNC/events.json","paper":"https://pith.science/paper/SSYWHTR3"},"agent_actions":{"view_html":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC","download_json":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC.json","view_paper":"https://pith.science/paper/SSYWHTR3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.19527&json=true","fetch_graph":"https://pith.science/api/pith-number/SSYWHTR3EZEUEUASA46WJAPPNC/graph.json","fetch_events":"https://pith.science/api/pith-number/SSYWHTR3EZEUEUASA46WJAPPNC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC/action/storage_attestation","attest_author":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC/action/author_attestation","sign_citation":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC/action/citation_signature","submit_replication":"https://pith.science/pith/SSYWHTR3EZEUEUASA46WJAPPNC/action/replication_record"}},"created_at":"2026-05-20T01:05:50.214068+00:00","updated_at":"2026-05-20T01:05:50.214068+00:00"}