{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:EMXDOPIK5K44YGUEGFBQY663KB","short_pith_number":"pith:EMXDOPIK","canonical_record":{"source":{"id":"1912.10193","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T04:14:36Z","cross_cats_sorted":[],"title_canon_sha256":"07b77fff52e96b0fccc4626c1e351714e704bd9ea41cd20998bc0db2aec6c745","abstract_canon_sha256":"aaf43eacfbb6d6c42cbd620de762465d0131d422910fb8ef7500e7371bc62c1a"},"schema_version":"1.0"},"canonical_sha256":"232e373d0aeab9cc1a8431430c7bdb506c3a131c0d1e80f42725afe66022939f","source":{"kind":"arxiv","id":"1912.10193","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.10193","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"arxiv_version","alias_value":"1912.10193v1","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.10193","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"pith_short_12","alias_value":"EMXDOPIK5K44","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"pith_short_16","alias_value":"EMXDOPIK5K44YGUE","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"pith_short_8","alias_value":"EMXDOPIK","created_at":"2026-07-05T00:27:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:EMXDOPIK5K44YGUEGFBQY663KB","target":"record","payload":{"canonical_record":{"source":{"id":"1912.10193","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T04:14:36Z","cross_cats_sorted":[],"title_canon_sha256":"07b77fff52e96b0fccc4626c1e351714e704bd9ea41cd20998bc0db2aec6c745","abstract_canon_sha256":"aaf43eacfbb6d6c42cbd620de762465d0131d422910fb8ef7500e7371bc62c1a"},"schema_version":"1.0"},"canonical_sha256":"232e373d0aeab9cc1a8431430c7bdb506c3a131c0d1e80f42725afe66022939f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:27:47.989370Z","signature_b64":"YrGQlx8FWqX/EuxF3LVNFot+RSLf7Pdm+bAA1urot4fr2xL2UIoy90TOeVeT2bs5hyzikoQvpOzH1BFxHXxOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"232e373d0aeab9cc1a8431430c7bdb506c3a131c0d1e80f42725afe66022939f","last_reissued_at":"2026-07-05T00:27:47.989014Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:27:47.989014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.10193","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":"2026-07-05T00:27:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"58PHTc+yqqE77uTmeOZQTqxd0zlmt01LPWvUGinnAmZLPTLqgMubmY3eXHl91FXgng58hkrRB/FOOJvy3MMbDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:07:20.004388Z"},"content_sha256":"e3e3e54d210405d6bef81029290382a668010a1335b6822edc0fda2237f7ca5a","schema_version":"1.0","event_id":"sha256:e3e3e54d210405d6bef81029290382a668010a1335b6822edc0fda2237f7ca5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:EMXDOPIK5K44YGUEGFBQY663KB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Eliminating cross-camera bias for vehicle re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongyan Chen, Guangqi Jiang, Huibing Wang, Jinjia Peng, Tongtong Zhao, Xianping Fu","submitted_at":"2019-12-21T04:14:36Z","abstract_excerpt":"Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras. It plays an important role in the automatic analysis of the increasing urban surveillance videos, which has become a hot topic in recent years. However, the appearance of vehicle images is easily affected by the environment that various illuminations, different backgrounds and viewpoints, which leads to the large bias between different cameras. To address this problem, this paper proposes a cross-camera adaptation framework (CCA), which smooths the bias by exploiting the co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.10193","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/1912.10193/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":"2026-07-05T00:27:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8BnO9q7q1lCxvK+HIoY+xRf2miF/i6SYvmA9fYgQjgkEhN9ZosQSwawjTlLjQ8y/EbYfCJ5OWY1bJdkBwOpIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:07:20.004761Z"},"content_sha256":"9cfda8a48af2f2d524f18db3695fe4e6bd4e4e225263bb749b91676978ce3b4b","schema_version":"1.0","event_id":"sha256:9cfda8a48af2f2d524f18db3695fe4e6bd4e4e225263bb749b91676978ce3b4b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EMXDOPIK5K44YGUEGFBQY663KB/bundle.json","state_url":"https://pith.science/pith/EMXDOPIK5K44YGUEGFBQY663KB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EMXDOPIK5K44YGUEGFBQY663KB/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":"2026-07-06T18:07:20Z","links":{"resolver":"https://pith.science/pith/EMXDOPIK5K44YGUEGFBQY663KB","bundle":"https://pith.science/pith/EMXDOPIK5K44YGUEGFBQY663KB/bundle.json","state":"https://pith.science/pith/EMXDOPIK5K44YGUEGFBQY663KB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EMXDOPIK5K44YGUEGFBQY663KB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EMXDOPIK5K44YGUEGFBQY663KB","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":"aaf43eacfbb6d6c42cbd620de762465d0131d422910fb8ef7500e7371bc62c1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T04:14:36Z","title_canon_sha256":"07b77fff52e96b0fccc4626c1e351714e704bd9ea41cd20998bc0db2aec6c745"},"schema_version":"1.0","source":{"id":"1912.10193","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.10193","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"arxiv_version","alias_value":"1912.10193v1","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.10193","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"pith_short_12","alias_value":"EMXDOPIK5K44","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"pith_short_16","alias_value":"EMXDOPIK5K44YGUE","created_at":"2026-07-05T00:27:47Z"},{"alias_kind":"pith_short_8","alias_value":"EMXDOPIK","created_at":"2026-07-05T00:27:47Z"}],"graph_snapshots":[{"event_id":"sha256:9cfda8a48af2f2d524f18db3695fe4e6bd4e4e225263bb749b91676978ce3b4b","target":"graph","created_at":"2026-07-05T00:27:47Z","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/1912.10193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras. It plays an important role in the automatic analysis of the increasing urban surveillance videos, which has become a hot topic in recent years. However, the appearance of vehicle images is easily affected by the environment that various illuminations, different backgrounds and viewpoints, which leads to the large bias between different cameras. To address this problem, this paper proposes a cross-camera adaptation framework (CCA), which smooths the bias by exploiting the co","authors_text":"Dongyan Chen, Guangqi Jiang, Huibing Wang, Jinjia Peng, Tongtong Zhao, Xianping Fu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T04:14:36Z","title":"Eliminating cross-camera bias for vehicle re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.10193","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:e3e3e54d210405d6bef81029290382a668010a1335b6822edc0fda2237f7ca5a","target":"record","created_at":"2026-07-05T00:27:47Z","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":"aaf43eacfbb6d6c42cbd620de762465d0131d422910fb8ef7500e7371bc62c1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T04:14:36Z","title_canon_sha256":"07b77fff52e96b0fccc4626c1e351714e704bd9ea41cd20998bc0db2aec6c745"},"schema_version":"1.0","source":{"id":"1912.10193","kind":"arxiv","version":1}},"canonical_sha256":"232e373d0aeab9cc1a8431430c7bdb506c3a131c0d1e80f42725afe66022939f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"232e373d0aeab9cc1a8431430c7bdb506c3a131c0d1e80f42725afe66022939f","first_computed_at":"2026-07-05T00:27:47.989014Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:27:47.989014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YrGQlx8FWqX/EuxF3LVNFot+RSLf7Pdm+bAA1urot4fr2xL2UIoy90TOeVeT2bs5hyzikoQvpOzH1BFxHXxOBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:27:47.989370Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.10193","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3e3e54d210405d6bef81029290382a668010a1335b6822edc0fda2237f7ca5a","sha256:9cfda8a48af2f2d524f18db3695fe4e6bd4e4e225263bb749b91676978ce3b4b"],"state_sha256":"2026440690d2ef9bb69edf30fe7680f1df618e79913480b3de3b1810fa85e1a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tXFeP/7OUuFMaRqygja8P2ITVvxAszAmqoo5DfaijsubrKOELNWHQxvZpXGzkcc3oq2MPFNmoPqU0M+kLwobBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:07:20.006654Z","bundle_sha256":"5eba86078e930a6bfb1d9ea503289414bc30d00ac2cb9b68af79c35fde9b55d8"}}