{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LTF33QXQEV5DOIHQOONZIGRZPW","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":"81b99421e21cb6945d69fb9bd8a1eddd6a2decbea9505458df7350f83fb3cb6f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T03:11:10Z","title_canon_sha256":"12cd16711180a9ecec202893bf9b8b599c0588d26169fcd43f689af480bfe767"},"schema_version":"1.0","source":{"id":"2404.06700","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06700","created_at":"2026-07-05T08:06:16Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06700v1","created_at":"2026-07-05T08:06:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06700","created_at":"2026-07-05T08:06:16Z"},{"alias_kind":"pith_short_12","alias_value":"LTF33QXQEV5D","created_at":"2026-07-05T08:06:16Z"},{"alias_kind":"pith_short_16","alias_value":"LTF33QXQEV5DOIHQ","created_at":"2026-07-05T08:06:16Z"},{"alias_kind":"pith_short_8","alias_value":"LTF33QXQ","created_at":"2026-07-05T08:06:16Z"}],"graph_snapshots":[{"event_id":"sha256:53b7245e656b1919e80ddfbfd103360f643ad605c3bda3d422ce2ad369e2d363","target":"graph","created_at":"2026-07-05T08:06:16Z","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/2404.06700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of Multi-Camera 3D Object Detection (MC3D-Det), facilitated by bird's-eye view (BEV) representation, signifies a notable progression in 3D object detection. Scaling MC3D-Det training effectively accommodates varied camera parameters and urban landscapes, paving the way for the MC3D-Det foundation model. However, the multi-view fusion stage of the MC3D-Det method relies on the ill-posed monocular perception during training rather than surround refinement ability, leading to what we term \"surround refinement degradation\". To this end, our study presents a weak-to-strong eliciting f","authors_text":"Dalong Du, Guoqing Wang, Hao Chen, Hao Lu, Jiaqi Tang, Xinli Xu, Xu Cao, Yingcong Chen, Yunpeng Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T03:11:10Z","title":"Scaling Multi-Camera 3D Object Detection through Weak-to-Strong Eliciting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06700","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":"sha256:6785f59793c0bce3e8172e0f8fdef543b3b7de953e008ea471f70a485d4076f2","target":"record","created_at":"2026-07-05T08:06:16Z","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":"81b99421e21cb6945d69fb9bd8a1eddd6a2decbea9505458df7350f83fb3cb6f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T03:11:10Z","title_canon_sha256":"12cd16711180a9ecec202893bf9b8b599c0588d26169fcd43f689af480bfe767"},"schema_version":"1.0","source":{"id":"2404.06700","kind":"arxiv","version":1}},"canonical_sha256":"5ccbbdc2f0257a3720f0739b941a397d9bd3de7772dfb9df4b4f367cd3986857","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ccbbdc2f0257a3720f0739b941a397d9bd3de7772dfb9df4b4f367cd3986857","first_computed_at":"2026-07-05T08:06:16.013930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:16.013930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dzR9B+mqmx76lLVORlIKk6aDwuamWVonHEvLuhQbloHpJQpcLRvZWIrM+8Md56x8jrDG30maMNROwgVDPMQ8Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:16.014363Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06700","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6785f59793c0bce3e8172e0f8fdef543b3b7de953e008ea471f70a485d4076f2","sha256:53b7245e656b1919e80ddfbfd103360f643ad605c3bda3d422ce2ad369e2d363"],"state_sha256":"a9c1f30ee9d0ae45bfc086df644bc35263d4ada6fc7bee00b34e3a27e7556657"}