{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7SVKEIIOUBXD6LGRNNDRI3IYOC","short_pith_number":"pith:7SVKEIIO","canonical_record":{"source":{"id":"2103.04337","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-07T12:27:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"284d4851e420e6c31a53cdf621d78e0c7cb3de99b2b477fc378b21c67638069f","abstract_canon_sha256":"7c3051412914a51a99199ada5a1141d2a0ac1f0cab18f7c45e57b9b1613c9dc7"},"schema_version":"1.0"},"canonical_sha256":"fcaaa2210ea06e3f2cd16b47146d18709a6f05749bc801cd09bfdadd69f90d8e","source":{"kind":"arxiv","id":"2103.04337","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.04337","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"arxiv_version","alias_value":"2103.04337v2","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.04337","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"pith_short_12","alias_value":"7SVKEIIOUBXD","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"pith_short_16","alias_value":"7SVKEIIOUBXD6LGR","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"pith_short_8","alias_value":"7SVKEIIO","created_at":"2026-07-05T02:28:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7SVKEIIOUBXD6LGRNNDRI3IYOC","target":"record","payload":{"canonical_record":{"source":{"id":"2103.04337","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-07T12:27:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"284d4851e420e6c31a53cdf621d78e0c7cb3de99b2b477fc378b21c67638069f","abstract_canon_sha256":"7c3051412914a51a99199ada5a1141d2a0ac1f0cab18f7c45e57b9b1613c9dc7"},"schema_version":"1.0"},"canonical_sha256":"fcaaa2210ea06e3f2cd16b47146d18709a6f05749bc801cd09bfdadd69f90d8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:28:21.487890Z","signature_b64":"ZLBeNB+0kZ7tvtr3MhBIDcsx8bws+uJMhTTglu9luXB0rUn6vih6QzL7UUYU+dEKBYL41gkAIzfEjSl9j23iAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fcaaa2210ea06e3f2cd16b47146d18709a6f05749bc801cd09bfdadd69f90d8e","last_reissued_at":"2026-07-05T02:28:21.487392Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:28:21.487392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.04337","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":"2026-07-05T02:28:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"atr4egJuwjyYhAW18AssidD0WcLzeeBtT08ykuhqVZOQOw5NH9Zo1TIf7wyLz3MCNLEcqHYCX65O4IbAdC0cAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T03:03:22.847541Z"},"content_sha256":"b0a572d357ce5b65c748586926ffa0788ec124ae1c847bde26fc75c55bc00cff","schema_version":"1.0","event_id":"sha256:b0a572d357ce5b65c748586926ffa0788ec124ae1c847bde26fc75c55bc00cff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7SVKEIIOUBXD6LGRNNDRI3IYOC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenyang Yu, Huchuan Lu, Pingping Zhang, Xiaoyun Yang, Xuehu Liu","submitted_at":"2021-03-07T12:27:42Z","abstract_excerpt":"Video-based person re-identification (Re-ID) aims to automatically retrieve video sequences of the same person under non-overlapping cameras. To achieve this goal, it is the key to fully utilize abundant spatial and temporal cues in videos. Existing methods usually focus on the most conspicuous image regions, thus they may easily miss out fine-grained clues due to the person varieties in image sequences. To address above issues, in this paper, we propose a novel Global-guided Reciprocal Learning (GRL) framework for video-based person Re-ID. Specifically, we first propose a Global-guided Correl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.04337","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/2103.04337/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":"2026-07-05T02:28:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v3xr69w4mwgzwH2ROT66vkLWpKb22amxgksXs01Z95vubzKt/aEr3zl6K3MQi/D0Dyn1HPo8+2DBts0JtDyeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T03:03:22.848084Z"},"content_sha256":"0b09bf604c92cf95ac4c483cb1d59f36e075ee9f98e00ee91b3ae188a0abfecf","schema_version":"1.0","event_id":"sha256:0b09bf604c92cf95ac4c483cb1d59f36e075ee9f98e00ee91b3ae188a0abfecf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC/bundle.json","state_url":"https://pith.science/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC/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":"2026-08-23T03:03:22Z","links":{"resolver":"https://pith.science/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC","bundle":"https://pith.science/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC/bundle.json","state":"https://pith.science/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7SVKEIIOUBXD6LGRNNDRI3IYOC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7SVKEIIOUBXD6LGRNNDRI3IYOC","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":"7c3051412914a51a99199ada5a1141d2a0ac1f0cab18f7c45e57b9b1613c9dc7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-07T12:27:42Z","title_canon_sha256":"284d4851e420e6c31a53cdf621d78e0c7cb3de99b2b477fc378b21c67638069f"},"schema_version":"1.0","source":{"id":"2103.04337","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.04337","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"arxiv_version","alias_value":"2103.04337v2","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.04337","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"pith_short_12","alias_value":"7SVKEIIOUBXD","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"pith_short_16","alias_value":"7SVKEIIOUBXD6LGR","created_at":"2026-07-05T02:28:21Z"},{"alias_kind":"pith_short_8","alias_value":"7SVKEIIO","created_at":"2026-07-05T02:28:21Z"}],"graph_snapshots":[{"event_id":"sha256:0b09bf604c92cf95ac4c483cb1d59f36e075ee9f98e00ee91b3ae188a0abfecf","target":"graph","created_at":"2026-07-05T02:28:21Z","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/2103.04337/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video-based person re-identification (Re-ID) aims to automatically retrieve video sequences of the same person under non-overlapping cameras. To achieve this goal, it is the key to fully utilize abundant spatial and temporal cues in videos. Existing methods usually focus on the most conspicuous image regions, thus they may easily miss out fine-grained clues due to the person varieties in image sequences. To address above issues, in this paper, we propose a novel Global-guided Reciprocal Learning (GRL) framework for video-based person Re-ID. Specifically, we first propose a Global-guided Correl","authors_text":"Chenyang Yu, Huchuan Lu, Pingping Zhang, Xiaoyun Yang, Xuehu Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-07T12:27:42Z","title":"Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.04337","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:b0a572d357ce5b65c748586926ffa0788ec124ae1c847bde26fc75c55bc00cff","target":"record","created_at":"2026-07-05T02:28:21Z","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":"7c3051412914a51a99199ada5a1141d2a0ac1f0cab18f7c45e57b9b1613c9dc7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-07T12:27:42Z","title_canon_sha256":"284d4851e420e6c31a53cdf621d78e0c7cb3de99b2b477fc378b21c67638069f"},"schema_version":"1.0","source":{"id":"2103.04337","kind":"arxiv","version":2}},"canonical_sha256":"fcaaa2210ea06e3f2cd16b47146d18709a6f05749bc801cd09bfdadd69f90d8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fcaaa2210ea06e3f2cd16b47146d18709a6f05749bc801cd09bfdadd69f90d8e","first_computed_at":"2026-07-05T02:28:21.487392Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:28:21.487392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZLBeNB+0kZ7tvtr3MhBIDcsx8bws+uJMhTTglu9luXB0rUn6vih6QzL7UUYU+dEKBYL41gkAIzfEjSl9j23iAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:28:21.487890Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.04337","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0a572d357ce5b65c748586926ffa0788ec124ae1c847bde26fc75c55bc00cff","sha256:0b09bf604c92cf95ac4c483cb1d59f36e075ee9f98e00ee91b3ae188a0abfecf"],"state_sha256":"0053d6c7490704ee2650f886e0947554aeb8259bc1cb51218fba90acb50d05fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7BTzV/qzfPrQkWa5q7YHWAb1e5wI+H3IrTytPZgH730hI3mXiPP1fAAvCnNg6/lZozzMoOIrRrvJ724ooggKAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T03:03:22.852153Z","bundle_sha256":"540b19797601cdde843b5ac5d19965f17b132ee9e2ca08767458510eeb6921c0"}}