{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MEUN5EOBEGZZ32RLMNUD2TVTWR","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":"775803119649bb3e84093dfcb709cb45986823b24690c07f02752a66ed9440dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-18T19:40:31Z","title_canon_sha256":"2cceb3f68b716ef76b3741afc59acc1520ffe8fd394b4a58bc57eade24d263bf"},"schema_version":"1.0","source":{"id":"1912.08855","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.08855","created_at":"2026-07-05T01:21:17Z"},{"alias_kind":"arxiv_version","alias_value":"1912.08855v2","created_at":"2026-07-05T01:21:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.08855","created_at":"2026-07-05T01:21:17Z"},{"alias_kind":"pith_short_12","alias_value":"MEUN5EOBEGZZ","created_at":"2026-07-05T01:21:17Z"},{"alias_kind":"pith_short_16","alias_value":"MEUN5EOBEGZZ32RL","created_at":"2026-07-05T01:21:17Z"},{"alias_kind":"pith_short_8","alias_value":"MEUN5EOB","created_at":"2026-07-05T01:21:17Z"}],"graph_snapshots":[{"event_id":"sha256:5134e193b81a9035555793779b0be32498a40ffcba375b305df332709822f94d","target":"graph","created_at":"2026-07-05T01:21:17Z","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/1912.08855/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper uses a graphic engine to simulate a large amount of training data with free annotations. Between synthetic and real data, there is a two-level domain gap, i.e., content level and appearance level. While the latter has been widely studied, we focus on reducing the content gap in attributes like illumination and viewpoint. To reduce the problem complexity, we choose a smaller and more controllable application, vehicle re-identification (re-ID). We introduce a large-scale synthetic dataset VehicleX. Created in Unity, it contains 1,362 vehicles of various 3D models with fully editable a","authors_text":"Liang Zheng, Milind Naphade, Tom Gedeon, Xiaodong Yang, Yue Yao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-18T19:40:31Z","title":"Simulating Content Consistent Vehicle Datasets with Attribute Descent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.08855","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":"sha256:193fe09d6795bfd5dc6c4d60cf3a36834ca642021ba0e7c07975acc3b6d3d41a","target":"record","created_at":"2026-07-05T01:21:17Z","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":"775803119649bb3e84093dfcb709cb45986823b24690c07f02752a66ed9440dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-18T19:40:31Z","title_canon_sha256":"2cceb3f68b716ef76b3741afc59acc1520ffe8fd394b4a58bc57eade24d263bf"},"schema_version":"1.0","source":{"id":"1912.08855","kind":"arxiv","version":2}},"canonical_sha256":"6128de91c121b39dea2b63683d4eb3b4659005ce910e5ce52f548d07d8b7ffb5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6128de91c121b39dea2b63683d4eb3b4659005ce910e5ce52f548d07d8b7ffb5","first_computed_at":"2026-07-05T01:21:17.778509Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:21:17.778509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rmB1eb8xe4yFmE/+OgrwM0zCmsg6LbXLi4xWVT0PLMoI+Ff+eA1jewx2TpVQVCgS5O0sFMZwF35Q9I0u/mnVAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:21:17.778986Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.08855","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:193fe09d6795bfd5dc6c4d60cf3a36834ca642021ba0e7c07975acc3b6d3d41a","sha256:5134e193b81a9035555793779b0be32498a40ffcba375b305df332709822f94d"],"state_sha256":"8822ac5a64cde9491a46ef2b1d263a188f9affe2337b763b662ca0abae163eb1"}