{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5425HFB6NAHFODDH5OHWN32N44","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":"45bb806f6863fa001f25a92fe948113dc3dd0adc469fcba5dd20e68d0fafd8bb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T17:59:58Z","title_canon_sha256":"88c25084d61a59ae47d014ce5145d3f2d4e90a6911b82b8cfc41f22ff3594b2b"},"schema_version":"1.0","source":{"id":"2407.04699","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.04699","created_at":"2026-07-05T08:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2407.04699v2","created_at":"2026-07-05T08:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.04699","created_at":"2026-07-05T08:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"5425HFB6NAHF","created_at":"2026-07-05T08:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"5425HFB6NAHFODDH","created_at":"2026-07-05T08:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"5425HFB6","created_at":"2026-07-05T08:44:15Z"}],"graph_snapshots":[{"event_id":"sha256:1e287c61db8e2739333a8d3b8027b0f47ef64fda3eb5141f51f0848c24ed4bc8","target":"graph","created_at":"2026-07-05T08:44:15Z","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/2407.04699/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Radiance field methods have achieved photorealistic novel view synthesis and geometry reconstruction. But they are mostly applied in per-scene optimization or small-baseline settings. While several recent works investigate feed-forward reconstruction with large baselines by utilizing transformers, they all operate with a standard global attention mechanism and hence ignore the local nature of 3D reconstruction. We propose a method that unifies local and global reasoning in transformer layers, resulting in improved quality and faster convergence. Our model represents scenes as Gaussian Volumes ","authors_text":"Andreas Geiger, Anpei Chen, Haofei Xu, Siyu Tang, Stefano Esposito","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T17:59:58Z","title":"LaRa: Efficient Large-Baseline Radiance Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.04699","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":"sha256:439fcad1ef0ab7658440c1136b5beb3ca111181d3265607559fbb3a40bbf7115","target":"record","created_at":"2026-07-05T08:44:15Z","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":"45bb806f6863fa001f25a92fe948113dc3dd0adc469fcba5dd20e68d0fafd8bb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T17:59:58Z","title_canon_sha256":"88c25084d61a59ae47d014ce5145d3f2d4e90a6911b82b8cfc41f22ff3594b2b"},"schema_version":"1.0","source":{"id":"2407.04699","kind":"arxiv","version":2}},"canonical_sha256":"ef35d3943e680e570c67eb8f66ef4de71ade21fe4af90bbe0fdf7770fa510b6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef35d3943e680e570c67eb8f66ef4de71ade21fe4af90bbe0fdf7770fa510b6c","first_computed_at":"2026-07-05T08:44:15.390813Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:15.390813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/5CERkdz3c7zP+kQqBvAHDW17XSi0P2koOGrEKvUQ67YB+kz/QeBzOGM0YWa8F+9kVrnsaOUg05pBfkchtHfAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:15.391269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.04699","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:439fcad1ef0ab7658440c1136b5beb3ca111181d3265607559fbb3a40bbf7115","sha256:1e287c61db8e2739333a8d3b8027b0f47ef64fda3eb5141f51f0848c24ed4bc8"],"state_sha256":"53c0bfc79aa0ec0369dbae539f2bcade857fd271646919dc75162c69bc3eab15"}