{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HNLGOAJ5PR2QRVPWMTB26IUM7Z","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":"ac7f30d3a2b645a4a23c0d6bdb70f847ba9aba7f867a9f6fbf083c2883498dd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T13:03:00Z","title_canon_sha256":"8c952cb71871e17ae691b85abefe90a687a3d6a8eb18a56818d80fe5a8bc21be"},"schema_version":"1.0","source":{"id":"2412.13815","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13815","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13815v1","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13815","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"HNLGOAJ5PR2Q","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"HNLGOAJ5PR2QRVPW","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"HNLGOAJ5","created_at":"2026-07-05T09:51:09Z"}],"graph_snapshots":[{"event_id":"sha256:30956635548319d6133b740be2137359e189f76733413dba4a6e00870df6fe94","target":"graph","created_at":"2026-07-05T09:51:09Z","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/2412.13815/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Object detection is a critical task in computer vision, with applications in various domains such as autonomous driving and urban scene monitoring. However, deep learning-based approaches often demand large volumes of annotated data, which are costly and difficult to acquire, particularly in complex and unpredictable real-world environments. This dependency significantly hampers the generalization capability of existing object detection techniques. To address this issue, we introduce a novel single-domain object detection generalization method, named GoDiff, which leverages a pre-trained model","authors_text":"Hao Li, Ke Liang, Kenli Li, Long Lan, Mengzhu Wang, Xiangyuan Yang, Xinwang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T13:03:00Z","title":"Object Style Diffusion for Generalized Object Detection in Urban Scene"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13815","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":"sha256:0ab52116e93865919515ab5867282408d524c349467ca3ef30fc565dd3819049","target":"record","created_at":"2026-07-05T09:51:09Z","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":"ac7f30d3a2b645a4a23c0d6bdb70f847ba9aba7f867a9f6fbf083c2883498dd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T13:03:00Z","title_canon_sha256":"8c952cb71871e17ae691b85abefe90a687a3d6a8eb18a56818d80fe5a8bc21be"},"schema_version":"1.0","source":{"id":"2412.13815","kind":"arxiv","version":1}},"canonical_sha256":"3b5667013d7c7508d5f664c3af228cfe7054e30a84b3e76b51e0c79b0ce07aa4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b5667013d7c7508d5f664c3af228cfe7054e30a84b3e76b51e0c79b0ce07aa4","first_computed_at":"2026-07-05T09:51:09.186176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:09.186176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LdrL+p+gfvS28vgib/GoaKyaOR/2M3MlLY/c8tBacAfj4O1xDuk7j/8fYUJXUeC6eLUloQIXQO0OGtoEHr+bAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:09.186674Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13815","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ab52116e93865919515ab5867282408d524c349467ca3ef30fc565dd3819049","sha256:30956635548319d6133b740be2137359e189f76733413dba4a6e00870df6fe94"],"state_sha256":"6b53cb0d51d6a2a4b0cbde400a824f91367c841f0507dcd27092eb008a413cee"}