{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ECANJO7JAJI43HZPXHMRFUMUMT","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":"bbc333d0bab1c961a0d981da3d8952382d888f763d9b38daec6d3f9482f9406f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-21T10:21:25Z","title_canon_sha256":"b0e4d0bf231e14881b8c86d519208b6d10f1bde780d1e4c0c8d61cbdfefe7196"},"schema_version":"1.0","source":{"id":"2209.10248","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.10248","created_at":"2026-07-05T04:59:46Z"},{"alias_kind":"arxiv_version","alias_value":"2209.10248v1","created_at":"2026-07-05T04:59:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.10248","created_at":"2026-07-05T04:59:46Z"},{"alias_kind":"pith_short_12","alias_value":"ECANJO7JAJI4","created_at":"2026-07-05T04:59:46Z"},{"alias_kind":"pith_short_16","alias_value":"ECANJO7JAJI43HZP","created_at":"2026-07-05T04:59:46Z"},{"alias_kind":"pith_short_8","alias_value":"ECANJO7J","created_at":"2026-07-05T04:59:46Z"}],"graph_snapshots":[{"event_id":"sha256:d6f2c862b77cfe836b0afa904ef97d0fded5fdf150aa5fbe818b33cd98f750dc","target":"graph","created_at":"2026-07-05T04:59:46Z","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/2209.10248/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bounded by the inherent ambiguity of depth perception, contemporary camera-based 3D object detection methods fall into the performance bottleneck. Intuitively, leveraging temporal multi-view stereo (MVS) technology is the natural knowledge for tackling this ambiguity. However, traditional attempts of MVS are flawed in two aspects when applying to 3D object detection scenes: 1) The affinity measurement among all views suffers expensive computation cost; 2) It is difficult to deal with outdoor scenarios where objects are often mobile. To this end, we introduce an effective temporal stereo method","authors_text":"Han Bao, Jianjian Sun, Jinrong Yang, Yinhao Li, Zeming Li, Zheng Ge","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-21T10:21:25Z","title":"BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.10248","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:bc83b3e954edaa55c3e5a5e8b87347d4ef2bbcfb931ed0bbb1722bf8cface6d4","target":"record","created_at":"2026-07-05T04:59:46Z","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":"bbc333d0bab1c961a0d981da3d8952382d888f763d9b38daec6d3f9482f9406f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-21T10:21:25Z","title_canon_sha256":"b0e4d0bf231e14881b8c86d519208b6d10f1bde780d1e4c0c8d61cbdfefe7196"},"schema_version":"1.0","source":{"id":"2209.10248","kind":"arxiv","version":1}},"canonical_sha256":"2080d4bbe90251cd9f2fb9d912d19464ef9d9d9519962ae745193e047be12271","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2080d4bbe90251cd9f2fb9d912d19464ef9d9d9519962ae745193e047be12271","first_computed_at":"2026-07-05T04:59:46.778656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:59:46.778656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N4BYqfCYgP4Gb0V7FGhgut+JW6Otd46cjp2BxzIX2x7MJQTBhCJo0mBdD+8y6qzCa3WPmnNajzvGmxk8H7VODA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:59:46.779083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.10248","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc83b3e954edaa55c3e5a5e8b87347d4ef2bbcfb931ed0bbb1722bf8cface6d4","sha256:d6f2c862b77cfe836b0afa904ef97d0fded5fdf150aa5fbe818b33cd98f750dc"],"state_sha256":"08d83f713146fccf962f4a9938f316ff786fd39c7a0589930426f8933b5520e4"}