{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FWZBZAZ2FFHEVOW2IDNWHPSC4F","short_pith_number":"pith:FWZBZAZ2","canonical_record":{"source":{"id":"2108.06946","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T07:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"95ee7b0f84f74cfd3971ddc0a4f629f8615d1b14100a5b55ef59800ec33b0dc5","abstract_canon_sha256":"8f097af9b28bc8b3dd68ec75d384732524afbc5fc7e325adf8241683b53ea74e"},"schema_version":"1.0"},"canonical_sha256":"2db21c833a294e4abada40db63be42e1549d08d6e2a1547568e12617399d3cbc","source":{"kind":"arxiv","id":"2108.06946","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06946","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06946v1","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06946","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"pith_short_12","alias_value":"FWZBZAZ2FFHE","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"pith_short_16","alias_value":"FWZBZAZ2FFHEVOW2","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"pith_short_8","alias_value":"FWZBZAZ2","created_at":"2026-07-05T03:05:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FWZBZAZ2FFHEVOW2IDNWHPSC4F","target":"record","payload":{"canonical_record":{"source":{"id":"2108.06946","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T07:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"95ee7b0f84f74cfd3971ddc0a4f629f8615d1b14100a5b55ef59800ec33b0dc5","abstract_canon_sha256":"8f097af9b28bc8b3dd68ec75d384732524afbc5fc7e325adf8241683b53ea74e"},"schema_version":"1.0"},"canonical_sha256":"2db21c833a294e4abada40db63be42e1549d08d6e2a1547568e12617399d3cbc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:05:59.285928Z","signature_b64":"9gA4kLlnecir6qN7UclqX6IeQlztNLkgz61pg00YznA7v4d5YzdDvUtChAoF5WLY59coxJi0fagQ7hcBxPQQDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2db21c833a294e4abada40db63be42e1549d08d6e2a1547568e12617399d3cbc","last_reissued_at":"2026-07-05T03:05:59.285577Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:05:59.285577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.06946","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":"2026-07-05T03:05:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yny+rV0d/nD4x8fqZyl9Bcpnr6QUG5l/R03toCXv0EB1lRT6F6eTF3u2Alk8/mCxHEOtrR2SD1NEy9yF4Z92Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T22:41:07.478937Z"},"content_sha256":"e6984afaf79a2a6f615193f17429bf8ec04e59d0bbc905632b818fd34d9287fa","schema_version":"1.0","event_id":"sha256:e6984afaf79a2a6f615193f17429bf8ec04e59d0bbc905632b818fd34d9287fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FWZBZAZ2FFHEVOW2IDNWHPSC4F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video Person Re-identification using Attribute-enhanced Features","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Annan Li, Jiaxin Chen, Tianrui Chai, Xinyu Mei, Yunhong Wang, Zhiyuan Chen","submitted_at":"2021-08-16T07:41:27Z","abstract_excerpt":"Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task. Pedestrian attribute, such as gender, age and clothing characteristics contains rich and supplementary information but is less explored in video person Re-ID. In this work, we propose a novel network architecture named Attribute Salience Assisted Network (ASA-Net) for attribute-assisted video person Re-ID, which achieved considerable improvement to existing works by two methods.First, to learn a better separation of the target from backgroun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06946","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/2108.06946/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":"2026-07-05T03:05:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jhJ2om55gBvcjpPCi08pr60YSKM08JgdFN/y3crEpEe6FHN5SLVeXhuQk5yLRAjKDsHvnSDBsG36YeZ7zZiyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T22:41:07.479487Z"},"content_sha256":"39f2ff1df0b36c29ef60053c8d39279960a23796f37a72a863e41482a0bbbf98","schema_version":"1.0","event_id":"sha256:39f2ff1df0b36c29ef60053c8d39279960a23796f37a72a863e41482a0bbbf98"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F/bundle.json","state_url":"https://pith.science/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F/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":"2026-08-10T22:41:07Z","links":{"resolver":"https://pith.science/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F","bundle":"https://pith.science/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F/bundle.json","state":"https://pith.science/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FWZBZAZ2FFHEVOW2IDNWHPSC4F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FWZBZAZ2FFHEVOW2IDNWHPSC4F","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":"8f097af9b28bc8b3dd68ec75d384732524afbc5fc7e325adf8241683b53ea74e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T07:41:27Z","title_canon_sha256":"95ee7b0f84f74cfd3971ddc0a4f629f8615d1b14100a5b55ef59800ec33b0dc5"},"schema_version":"1.0","source":{"id":"2108.06946","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06946","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06946v1","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06946","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"pith_short_12","alias_value":"FWZBZAZ2FFHE","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"pith_short_16","alias_value":"FWZBZAZ2FFHEVOW2","created_at":"2026-07-05T03:05:59Z"},{"alias_kind":"pith_short_8","alias_value":"FWZBZAZ2","created_at":"2026-07-05T03:05:59Z"}],"graph_snapshots":[{"event_id":"sha256:39f2ff1df0b36c29ef60053c8d39279960a23796f37a72a863e41482a0bbbf98","target":"graph","created_at":"2026-07-05T03:05:59Z","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/2108.06946/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) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task. Pedestrian attribute, such as gender, age and clothing characteristics contains rich and supplementary information but is less explored in video person Re-ID. In this work, we propose a novel network architecture named Attribute Salience Assisted Network (ASA-Net) for attribute-assisted video person Re-ID, which achieved considerable improvement to existing works by two methods.First, to learn a better separation of the target from backgroun","authors_text":"Annan Li, Jiaxin Chen, Tianrui Chai, Xinyu Mei, Yunhong Wang, Zhiyuan Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T07:41:27Z","title":"Video Person Re-identification using Attribute-enhanced Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06946","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:e6984afaf79a2a6f615193f17429bf8ec04e59d0bbc905632b818fd34d9287fa","target":"record","created_at":"2026-07-05T03:05:59Z","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":"8f097af9b28bc8b3dd68ec75d384732524afbc5fc7e325adf8241683b53ea74e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T07:41:27Z","title_canon_sha256":"95ee7b0f84f74cfd3971ddc0a4f629f8615d1b14100a5b55ef59800ec33b0dc5"},"schema_version":"1.0","source":{"id":"2108.06946","kind":"arxiv","version":1}},"canonical_sha256":"2db21c833a294e4abada40db63be42e1549d08d6e2a1547568e12617399d3cbc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2db21c833a294e4abada40db63be42e1549d08d6e2a1547568e12617399d3cbc","first_computed_at":"2026-07-05T03:05:59.285577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:05:59.285577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9gA4kLlnecir6qN7UclqX6IeQlztNLkgz61pg00YznA7v4d5YzdDvUtChAoF5WLY59coxJi0fagQ7hcBxPQQDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:05:59.285928Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.06946","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6984afaf79a2a6f615193f17429bf8ec04e59d0bbc905632b818fd34d9287fa","sha256:39f2ff1df0b36c29ef60053c8d39279960a23796f37a72a863e41482a0bbbf98"],"state_sha256":"af3a936fc84b722dca7b87a0791f8daea49971570bed297688b5803e121d0ed1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Ajx3TrEBYYJVBlZb51DTOJ78K+aGPS7Bz146f7zE/Q0SO9ZqSySwU0HuWe5VubaYoMRne684GKnogel7TeQBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T22:41:07.483175Z","bundle_sha256":"f607767116f9cd7a8ebe8210a520b0e5bf7374262f8bd100ef40f34328368452"}}