{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:RNQ3L2QYHK3ZBWZ5LNV5RGYEUH","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":"bcd1004066504775f8364f5ebd0eba1250f0d8989facc50153a4acd7b051fa19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-25T03:02:46Z","title_canon_sha256":"bd14ad259a2a88dcf9702b0b2e674217f4723d0f75b63f6f6413077405ed9873"},"schema_version":"1.0","source":{"id":"2012.13498","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.13498","created_at":"2026-07-05T02:02:10Z"},{"alias_kind":"arxiv_version","alias_value":"2012.13498v1","created_at":"2026-07-05T02:02:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.13498","created_at":"2026-07-05T02:02:10Z"},{"alias_kind":"pith_short_12","alias_value":"RNQ3L2QYHK3Z","created_at":"2026-07-05T02:02:10Z"},{"alias_kind":"pith_short_16","alias_value":"RNQ3L2QYHK3ZBWZ5","created_at":"2026-07-05T02:02:10Z"},{"alias_kind":"pith_short_8","alias_value":"RNQ3L2QY","created_at":"2026-07-05T02:02:10Z"}],"graph_snapshots":[{"event_id":"sha256:05b210cf07bc5bc64a0a0c776aa5ecf3b2208fb8af456fbd188c1354550ed0c4","target":"graph","created_at":"2026-07-05T02:02:10Z","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/2012.13498/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents our proposed methods for domain adaptive pedestrian re-identification (Re-ID) task in Visual Domain Adaptation Challenge (VisDA-2020). Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian Re-ID and proposed a two-stage training procedure. At the first stage, a baseline model is trained with images transferred from source domain to target domain and from single camera to multiple camera styles. Then we introduced a domain adaptation framework to train the model on","authors_text":"Fan Wang, Hao Li, Hao Luo, Jianyang Gu, Shuting He, Weihua Chen, Wei Jiang, Yiqi Jiang, Yuqi Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-25T03:02:46Z","title":"1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.13498","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:b68947a5d4a3d21db257af24a33475fefe8ddaa6fe96c23c802afe1afaa0aea1","target":"record","created_at":"2026-07-05T02:02:10Z","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":"bcd1004066504775f8364f5ebd0eba1250f0d8989facc50153a4acd7b051fa19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-25T03:02:46Z","title_canon_sha256":"bd14ad259a2a88dcf9702b0b2e674217f4723d0f75b63f6f6413077405ed9873"},"schema_version":"1.0","source":{"id":"2012.13498","kind":"arxiv","version":1}},"canonical_sha256":"8b61b5ea183ab790db3d5b6bd89b04a1e7d39c8468c2832e6502359a2f0acc3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b61b5ea183ab790db3d5b6bd89b04a1e7d39c8468c2832e6502359a2f0acc3b","first_computed_at":"2026-07-05T02:02:10.144903Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:02:10.144903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q+NZu19519VkhBiQEfh5TGKqwqagmTu9cnnX9NUmK7/qc4U/NwUiKVVTRe+mGBrpTnWdtQCVuZIz9sWnyEkkCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:02:10.145313Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.13498","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b68947a5d4a3d21db257af24a33475fefe8ddaa6fe96c23c802afe1afaa0aea1","sha256:05b210cf07bc5bc64a0a0c776aa5ecf3b2208fb8af456fbd188c1354550ed0c4"],"state_sha256":"3d4a7f239122bea9415c267454c34622298ce06c7b2a6baa5712900618f68c2f"}