{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:E2DOKRKD7TBZKBAVJHMKQYTTBT","short_pith_number":"pith:E2DOKRKD","canonical_record":{"source":{"id":"2303.14643","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-26T06:59:23Z","cross_cats_sorted":[],"title_canon_sha256":"3d212c37f95d2cdb60ae719c62ef5831c7421763094aeee3eae73366d9c904f3","abstract_canon_sha256":"ae5e3ea767dd82b0ad89cee5b8d064fb754e6511903f22a8a6f6cc549d32eba0"},"schema_version":"1.0"},"canonical_sha256":"2686e54543fcc395041549d8a862730cc593b0d2c214b7855cd14e1c717faf44","source":{"kind":"arxiv","id":"2303.14643","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.14643","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"arxiv_version","alias_value":"2303.14643v2","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.14643","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"pith_short_12","alias_value":"E2DOKRKD7TBZ","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"pith_short_16","alias_value":"E2DOKRKD7TBZKBAV","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"pith_short_8","alias_value":"E2DOKRKD","created_at":"2026-07-05T07:15:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:E2DOKRKD7TBZKBAVJHMKQYTTBT","target":"record","payload":{"canonical_record":{"source":{"id":"2303.14643","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-26T06:59:23Z","cross_cats_sorted":[],"title_canon_sha256":"3d212c37f95d2cdb60ae719c62ef5831c7421763094aeee3eae73366d9c904f3","abstract_canon_sha256":"ae5e3ea767dd82b0ad89cee5b8d064fb754e6511903f22a8a6f6cc549d32eba0"},"schema_version":"1.0"},"canonical_sha256":"2686e54543fcc395041549d8a862730cc593b0d2c214b7855cd14e1c717faf44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:15:53.503628Z","signature_b64":"YdeypOCcqCPBU5KJgHYdGOQUMQmdWQL2OywqlCs3fB+d9T5aqXrH4bbvYIZ4TB5tisVvkWKVN0mnvu0w5D9sBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2686e54543fcc395041549d8a862730cc593b0d2c214b7855cd14e1c717faf44","last_reissued_at":"2026-07-05T07:15:53.502942Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:15:53.502942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.14643","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:15:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GbEj+dXhl1PlVsPrfA+OiEEpJzB3WWvh3MtOOS9ErYT8ZqKISlv4a01/1BJ5Ze4/b61cRxZdy/3ZJlqMU7yABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:25:05.532207Z"},"content_sha256":"4f9a8245045a066dd1c59c2da119e22c3c73a45ddb4a86fde660d0490a5018ef","schema_version":"1.0","event_id":"sha256:4f9a8245045a066dd1c59c2da119e22c3c73a45ddb4a86fde660d0490a5018ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:E2DOKRKD7TBZKBAVJHMKQYTTBT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"POAR: Towards Open Vocabulary Pedestrian Attribute Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Shichao Kan, Suchen Wang, Yap-Peng Tan, Yigang Cen, Yue Zhang, Zhenyu Weng","submitted_at":"2023-03-26T06:59:23Z","abstract_excerpt":"Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian in a surveillance system. Existing methods address the PAR problem by training a multi-label classifier with predefined attribute classes. However, it is impossible to exhaust all pedestrian attributes in the real world. To tackle this problem, we develop a novel pedestrian open-attribute recognition (POAR) framework. Our key idea is to formulate the POAR problem as an image-text search problem. We design a Transformer-based image encoder with a masking strategy. A set of attribute tokens are introduce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.14643","kind":"arxiv","version":2},"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/2303.14643/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":"2026-07-05T07:15:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jbkrtAiylNKueaaKJ3aYuULnBtaqrHBOVR8GgVlfw9Khr2NyM0FQstdNdOXWKhTf0+X3TY2pCqlzJK1+SHnCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:25:05.532593Z"},"content_sha256":"a0bd52e752624e6361896d9a3f2e3918df95f0e2a10526d60bc0644d5c4079bd","schema_version":"1.0","event_id":"sha256:a0bd52e752624e6361896d9a3f2e3918df95f0e2a10526d60bc0644d5c4079bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT/bundle.json","state_url":"https://pith.science/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT/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":"2026-08-04T12:25:05Z","links":{"resolver":"https://pith.science/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT","bundle":"https://pith.science/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT/bundle.json","state":"https://pith.science/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E2DOKRKD7TBZKBAVJHMKQYTTBT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E2DOKRKD7TBZKBAVJHMKQYTTBT","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":"ae5e3ea767dd82b0ad89cee5b8d064fb754e6511903f22a8a6f6cc549d32eba0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-26T06:59:23Z","title_canon_sha256":"3d212c37f95d2cdb60ae719c62ef5831c7421763094aeee3eae73366d9c904f3"},"schema_version":"1.0","source":{"id":"2303.14643","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.14643","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"arxiv_version","alias_value":"2303.14643v2","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.14643","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"pith_short_12","alias_value":"E2DOKRKD7TBZ","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"pith_short_16","alias_value":"E2DOKRKD7TBZKBAV","created_at":"2026-07-05T07:15:53Z"},{"alias_kind":"pith_short_8","alias_value":"E2DOKRKD","created_at":"2026-07-05T07:15:53Z"}],"graph_snapshots":[{"event_id":"sha256:a0bd52e752624e6361896d9a3f2e3918df95f0e2a10526d60bc0644d5c4079bd","target":"graph","created_at":"2026-07-05T07:15:53Z","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/2303.14643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian in a surveillance system. Existing methods address the PAR problem by training a multi-label classifier with predefined attribute classes. However, it is impossible to exhaust all pedestrian attributes in the real world. To tackle this problem, we develop a novel pedestrian open-attribute recognition (POAR) framework. Our key idea is to formulate the POAR problem as an image-text search problem. We design a Transformer-based image encoder with a masking strategy. A set of attribute tokens are introduce","authors_text":"Shichao Kan, Suchen Wang, Yap-Peng Tan, Yigang Cen, Yue Zhang, Zhenyu Weng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-26T06:59:23Z","title":"POAR: Towards Open Vocabulary Pedestrian Attribute Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.14643","kind":"arxiv","version":2},"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":"sha256:4f9a8245045a066dd1c59c2da119e22c3c73a45ddb4a86fde660d0490a5018ef","target":"record","created_at":"2026-07-05T07:15:53Z","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":"ae5e3ea767dd82b0ad89cee5b8d064fb754e6511903f22a8a6f6cc549d32eba0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-26T06:59:23Z","title_canon_sha256":"3d212c37f95d2cdb60ae719c62ef5831c7421763094aeee3eae73366d9c904f3"},"schema_version":"1.0","source":{"id":"2303.14643","kind":"arxiv","version":2}},"canonical_sha256":"2686e54543fcc395041549d8a862730cc593b0d2c214b7855cd14e1c717faf44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2686e54543fcc395041549d8a862730cc593b0d2c214b7855cd14e1c717faf44","first_computed_at":"2026-07-05T07:15:53.502942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:15:53.502942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YdeypOCcqCPBU5KJgHYdGOQUMQmdWQL2OywqlCs3fB+d9T5aqXrH4bbvYIZ4TB5tisVvkWKVN0mnvu0w5D9sBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:15:53.503628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.14643","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f9a8245045a066dd1c59c2da119e22c3c73a45ddb4a86fde660d0490a5018ef","sha256:a0bd52e752624e6361896d9a3f2e3918df95f0e2a10526d60bc0644d5c4079bd"],"state_sha256":"0386864700248be1e949566d8e9f5082a17602d814b696a2ff0a6c3c001bbe96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ogLgyeCIuZLQBqsH38WWoIhpNuzjoz8p1f9ZA60Wn9tt9KA7oiWIZ7K7uFl/Rq7gSI6gsxX3kbyj1ttX0xuADg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:25:05.535367Z","bundle_sha256":"4918df3e5e09bd83986c34a94de7c8bc0824cbd23500985d05e57cfc815fc212"}}