{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZFYCAY36DUP5SV73CGYD6OOJVF","short_pith_number":"pith:ZFYCAY36","canonical_record":{"source":{"id":"1811.04129","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T20:43:31Z","cross_cats_sorted":[],"title_canon_sha256":"fd4f29a121e6b30d25cd9bfabd37c1c27c8cdb980657602068e4267a86b47fd5","abstract_canon_sha256":"9cb1f100bee58a4648c30afdf2f17b92cef1d3ed85681c79ac320f48948055a7"},"schema_version":"1.0"},"canonical_sha256":"c97020637e1d1fd957fb11b03f39c9a96ea9cd6526ac8697a2c900e67f77a77d","source":{"kind":"arxiv","id":"1811.04129","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.04129","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"1811.04129v1","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.04129","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"ZFYCAY36DUP5","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"pith_short_16","alias_value":"ZFYCAY36DUP5SV73","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"pith_short_8","alias_value":"ZFYCAY36","created_at":"2026-07-05T00:59:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZFYCAY36DUP5SV73CGYD6OOJVF","target":"record","payload":{"canonical_record":{"source":{"id":"1811.04129","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T20:43:31Z","cross_cats_sorted":[],"title_canon_sha256":"fd4f29a121e6b30d25cd9bfabd37c1c27c8cdb980657602068e4267a86b47fd5","abstract_canon_sha256":"9cb1f100bee58a4648c30afdf2f17b92cef1d3ed85681c79ac320f48948055a7"},"schema_version":"1.0"},"canonical_sha256":"c97020637e1d1fd957fb11b03f39c9a96ea9cd6526ac8697a2c900e67f77a77d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:59:21.019674Z","signature_b64":"Fg4RTyn9V0fYKVnbZz/Qjl8pfJ+ci1Tnzaycfn+/fa4Miiuwr9tbJkrGVQuGI7Q3tCGstzbmFREK6U2HZzNkAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c97020637e1d1fd957fb11b03f39c9a96ea9cd6526ac8697a2c900e67f77a77d","last_reissued_at":"2026-07-05T00:59:21.019176Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:59:21.019176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.04129","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":"2026-07-05T00:59:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gpBFuRwXR1CjoEXUgstELshHvLTdG/L7Sm6634vvWVgb/mTHC0vvyjCdOYOiWHxtPk/HXdpA8NxgKv4FYwyVBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:06:21.390280Z"},"content_sha256":"99ae978bfbdd36b4f2ed6d59c1081c9d194a65ab99ecf7f6b41b48fb767fc095","schema_version":"1.0","event_id":"sha256:99ae978bfbdd36b4f2ed6d59c1081c9d194a65ab99ecf7f6b41b48fb767fc095"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZFYCAY36DUP5SV73CGYD6OOJVF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Thomas Huang, Xiaoyang Wang, Yang Fu, Yunchao Wei","submitted_at":"2018-11-09T20:43:31Z","abstract_excerpt":"In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the large-scale person re-identification task in videos. Different from the most existing methods, which simply compute representations of video clips using frame-level aggregation (e.g. average pooling), the proposed STA adopts a more effective way for producing robust clip-level feature representation. Concretely, our STA fully exploits those discriminative parts of one target person in both spatial and temporal dimensions, which results in a 2-D attention score matrix via inter-frame regularization to measu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.04129","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/1811.04129/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":"2026-07-05T00:59:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SKJ9b9ZfC/4z4cGaxqqYP6zxfFsIypwLRaR6fIdh3ufZO/HXrQvzHbhHln7SGhk/eSXviJrlRNeUQScA+balAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:06:21.390809Z"},"content_sha256":"93e859d7f3567cb2d04150ecd5034abdaefcdfc5a27a24e22191375cd4f77704","schema_version":"1.0","event_id":"sha256:93e859d7f3567cb2d04150ecd5034abdaefcdfc5a27a24e22191375cd4f77704"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZFYCAY36DUP5SV73CGYD6OOJVF/bundle.json","state_url":"https://pith.science/pith/ZFYCAY36DUP5SV73CGYD6OOJVF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZFYCAY36DUP5SV73CGYD6OOJVF/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":"2026-08-11T01:06:21Z","links":{"resolver":"https://pith.science/pith/ZFYCAY36DUP5SV73CGYD6OOJVF","bundle":"https://pith.science/pith/ZFYCAY36DUP5SV73CGYD6OOJVF/bundle.json","state":"https://pith.science/pith/ZFYCAY36DUP5SV73CGYD6OOJVF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZFYCAY36DUP5SV73CGYD6OOJVF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZFYCAY36DUP5SV73CGYD6OOJVF","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":"9cb1f100bee58a4648c30afdf2f17b92cef1d3ed85681c79ac320f48948055a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T20:43:31Z","title_canon_sha256":"fd4f29a121e6b30d25cd9bfabd37c1c27c8cdb980657602068e4267a86b47fd5"},"schema_version":"1.0","source":{"id":"1811.04129","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.04129","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"1811.04129v1","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.04129","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"ZFYCAY36DUP5","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"pith_short_16","alias_value":"ZFYCAY36DUP5SV73","created_at":"2026-07-05T00:59:21Z"},{"alias_kind":"pith_short_8","alias_value":"ZFYCAY36","created_at":"2026-07-05T00:59:21Z"}],"graph_snapshots":[{"event_id":"sha256:93e859d7f3567cb2d04150ecd5034abdaefcdfc5a27a24e22191375cd4f77704","target":"graph","created_at":"2026-07-05T00:59:21Z","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/1811.04129/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the large-scale person re-identification task in videos. Different from the most existing methods, which simply compute representations of video clips using frame-level aggregation (e.g. average pooling), the proposed STA adopts a more effective way for producing robust clip-level feature representation. Concretely, our STA fully exploits those discriminative parts of one target person in both spatial and temporal dimensions, which results in a 2-D attention score matrix via inter-frame regularization to measu","authors_text":"Thomas Huang, Xiaoyang Wang, Yang Fu, Yunchao Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T20:43:31Z","title":"STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.04129","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":"sha256:99ae978bfbdd36b4f2ed6d59c1081c9d194a65ab99ecf7f6b41b48fb767fc095","target":"record","created_at":"2026-07-05T00:59:21Z","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":"9cb1f100bee58a4648c30afdf2f17b92cef1d3ed85681c79ac320f48948055a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T20:43:31Z","title_canon_sha256":"fd4f29a121e6b30d25cd9bfabd37c1c27c8cdb980657602068e4267a86b47fd5"},"schema_version":"1.0","source":{"id":"1811.04129","kind":"arxiv","version":1}},"canonical_sha256":"c97020637e1d1fd957fb11b03f39c9a96ea9cd6526ac8697a2c900e67f77a77d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c97020637e1d1fd957fb11b03f39c9a96ea9cd6526ac8697a2c900e67f77a77d","first_computed_at":"2026-07-05T00:59:21.019176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:59:21.019176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fg4RTyn9V0fYKVnbZz/Qjl8pfJ+ci1Tnzaycfn+/fa4Miiuwr9tbJkrGVQuGI7Q3tCGstzbmFREK6U2HZzNkAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:59:21.019674Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.04129","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99ae978bfbdd36b4f2ed6d59c1081c9d194a65ab99ecf7f6b41b48fb767fc095","sha256:93e859d7f3567cb2d04150ecd5034abdaefcdfc5a27a24e22191375cd4f77704"],"state_sha256":"f4c732ce060924f65b0e643aa2a1c53181e0fbc9f3a89af59cdee6b02ef3512e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EQikHKspSxwfXrNFX2rn/CHFEfYfPOFMbjdSAoK/VddGRRxJdAz1Xp0PKg86kdnPfUq/303RPWKiApY6i15YBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T01:06:21.396510Z","bundle_sha256":"60ecb5b5e93feea09d6d4580e597f1969a91d278c377b964a160c786925ece92"}}