{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KDEUZTPVB6S7UKJIQNXXZXTBMM","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":"f500ead21fddc9f8e18151dbb62c4aa0917aa0177c44785de6a79ffc71868e38","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T04:31:45Z","title_canon_sha256":"708b122c697d7c1413b5ca86b465083ec37c59cf1fd2de9cd1fc27eab9456d7e"},"schema_version":"1.0","source":{"id":"2607.04661","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04661","created_at":"2026-07-07T02:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04661v1","created_at":"2026-07-07T02:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04661","created_at":"2026-07-07T02:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"KDEUZTPVB6S7","created_at":"2026-07-07T02:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"KDEUZTPVB6S7UKJI","created_at":"2026-07-07T02:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"KDEUZTPV","created_at":"2026-07-07T02:19:29Z"}],"graph_snapshots":[{"event_id":"sha256:04d358a68a7053c26ee2d9561d3d48cec366e85f57d9adcf5fb6dba2421f63a9","target":"graph","created_at":"2026-07-07T02:19:29Z","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/2607.04661/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing 3D scene structures from sparse, low-overlap observations remains a fundamental challenge in autonomous driving. Recent state-of-the-art frameworks achieve promising results by incorporating voxel-based Gaussians, but incur substantial computational redundancy due to a uniform volumetric processing strategy. To bridge the gap between the efficiency of pixel-based Gaussian methods and the structural completeness of voxel-based Gaussian approaches, we propose FocusGS, a simple yet effective framework that shifts the paradigm from global densification to targeted structural complet","authors_text":"Chao Ma, Guoqing Wang, Liping Hou, Pin Tang, Xiangxuan Ren","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T04:31:45Z","title":"Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04661","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":"sha256:5bd04003e549dbe3352a3335a4618c66a764bd0c9458ffd68e6287b5bb2436d2","target":"record","created_at":"2026-07-07T02:19:29Z","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":"f500ead21fddc9f8e18151dbb62c4aa0917aa0177c44785de6a79ffc71868e38","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T04:31:45Z","title_canon_sha256":"708b122c697d7c1413b5ca86b465083ec37c59cf1fd2de9cd1fc27eab9456d7e"},"schema_version":"1.0","source":{"id":"2607.04661","kind":"arxiv","version":1}},"canonical_sha256":"50c94ccdf50fa5fa2928836f7cde61633d5c5c9159febc789093bd7fd87f320b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50c94ccdf50fa5fa2928836f7cde61633d5c5c9159febc789093bd7fd87f320b","first_computed_at":"2026-07-07T02:19:29.988222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:19:29.988222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"InXxamnmugQNYLEyq38mOc3luAU/RVJwM1X57at3I+G1Fq7lzl7U4yhj+A9H68e0t3U21onFdPBUFyi7zXA2DA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:19:29.988907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04661","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5bd04003e549dbe3352a3335a4618c66a764bd0c9458ffd68e6287b5bb2436d2","sha256:04d358a68a7053c26ee2d9561d3d48cec366e85f57d9adcf5fb6dba2421f63a9"],"state_sha256":"9e33451169d5b60e41f60c6fdbfbac8211faa138eec122a6bca2657c4f42919d"}