{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N26UGR4DWH3TAVWOU5TZ6TT2NV","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":"b6cae498f705a53fa343ac10ab1dcd1d2752cf121cc1aa463d12e58ba160329d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-04T08:33:40Z","title_canon_sha256":"8c9a38ecf29800554d07b6a1bf6629e1ec003a92f82cec917b40ca1657a9e496"},"schema_version":"1.0","source":{"id":"2607.03765","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03765","created_at":"2026-07-07T02:18:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03765v1","created_at":"2026-07-07T02:18:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03765","created_at":"2026-07-07T02:18:06Z"},{"alias_kind":"pith_short_12","alias_value":"N26UGR4DWH3T","created_at":"2026-07-07T02:18:06Z"},{"alias_kind":"pith_short_16","alias_value":"N26UGR4DWH3TAVWO","created_at":"2026-07-07T02:18:06Z"},{"alias_kind":"pith_short_8","alias_value":"N26UGR4D","created_at":"2026-07-07T02:18:06Z"}],"graph_snapshots":[{"event_id":"sha256:27b008f0414ee5fdf28a3e6efec62deca6f809f99f7b30ee63b8bbb2d36db516","target":"graph","created_at":"2026-07-07T02:18:06Z","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/2607.03765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D reconstruction from sparse views is a challenging task in 3D computer vision. Recent studies on 3D Gaussian Splatting (3DGS) have achieved remarkable results with sparse views in novel view synthesis, yet reconstructing high-quality geometric surfaces from sparse views remains a challenge, due to the limited geometry clues and the discreteness of Gaussians. In this paper, we propose a novel 3DGS-based method for high-fidelity surface reconstruction from sparse views. Our key insight is to introduce a normal-guided depth propagation approach, which can extend depth information from high-conf","authors_text":"Bangcai Wei, Junsheng Zhou, Liang Han, Yu-Shen Liu, Zhizhong Han","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-04T08:33:40Z","title":"Sparse-View Surface Reconstruction using Gaussian Splatting through High-Confidence Depth Propagation with Normal Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03765","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":"sha256:3277607bdffbcc0ecf7e3ec749a028673f591d3f9fdc3acfaa287635dfff01cf","target":"record","created_at":"2026-07-07T02:18:06Z","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":"b6cae498f705a53fa343ac10ab1dcd1d2752cf121cc1aa463d12e58ba160329d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-04T08:33:40Z","title_canon_sha256":"8c9a38ecf29800554d07b6a1bf6629e1ec003a92f82cec917b40ca1657a9e496"},"schema_version":"1.0","source":{"id":"2607.03765","kind":"arxiv","version":1}},"canonical_sha256":"6ebd434783b1f73056cea7679f4e7a6d55fe08863d5ac25c088a6493b9ef7eb9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ebd434783b1f73056cea7679f4e7a6d55fe08863d5ac25c088a6493b9ef7eb9","first_computed_at":"2026-07-07T02:18:06.508888Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:18:06.508888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WjHCmv1J/AGqYYZNXxkxgvVR40RV6bt88Kks//OdmLNDMR0CZ2TRPWTHNNb7p39iK+saOTH/IdL95bSzcOn/CQ==","signature_status":"signed_v1","signed_at":"2026-07-07T02:18:06.509530Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03765","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3277607bdffbcc0ecf7e3ec749a028673f591d3f9fdc3acfaa287635dfff01cf","sha256:27b008f0414ee5fdf28a3e6efec62deca6f809f99f7b30ee63b8bbb2d36db516"],"state_sha256":"7e0556f4bbb8f1e09485eb79a2d5a8764b46a05792360c85e19b73b93f22106e"}