{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4XFCI52CJUFOKEQB5ZTUTDGFCQ","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":"729c76ffaa68d29a139879e72359c7d8d607de7e510ebea158e51e7c5dcd5292","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-22T17:59:01Z","title_canon_sha256":"4a85a896687faf124070e13807b4b109c2b17858703a1a261ab9e113edfae7ad"},"schema_version":"1.0","source":{"id":"2408.12598","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12598","created_at":"2026-07-05T10:45:54Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12598v3","created_at":"2026-07-05T10:45:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12598","created_at":"2026-07-05T10:45:54Z"},{"alias_kind":"pith_short_12","alias_value":"4XFCI52CJUFO","created_at":"2026-07-05T10:45:54Z"},{"alias_kind":"pith_short_16","alias_value":"4XFCI52CJUFOKEQB","created_at":"2026-07-05T10:45:54Z"},{"alias_kind":"pith_short_8","alias_value":"4XFCI52C","created_at":"2026-07-05T10:45:54Z"}],"graph_snapshots":[{"event_id":"sha256:30fc9b17abca826b2f1eadd1488afd0ed1148480d2ef5ce5eb15a0f0bc1bbfbb","target":"graph","created_at":"2026-07-05T10:45:54Z","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/2408.12598/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural implicit reconstruction via volume rendering has demonstrated its effectiveness in recovering dense 3D surfaces. However, it is non-trivial to simultaneously recover meticulous geometry and preserve smoothness across regions with differing characteristics. To address this issue, previous methods typically employ geometric priors, which are often constrained by the performance of the prior models. In this paper, we propose ND-SDF, which learns a Normal Deflection field to represent the angular deviation between the scene normal and the prior normal. Unlike previous methods that uniformly","authors_text":"Di Huang, Guofeng Zhang, Hujun Bao, Tong He, Weicai Ye, Yifan Wang, Ziyu Tang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-22T17:59:01Z","title":"ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12598","kind":"arxiv","version":3},"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":"sha256:73238ae18ae1a47efef3886cfbc640b6bebda5d943c7a83aff9822e25f8bb751","target":"record","created_at":"2026-07-05T10:45:54Z","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":"729c76ffaa68d29a139879e72359c7d8d607de7e510ebea158e51e7c5dcd5292","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-22T17:59:01Z","title_canon_sha256":"4a85a896687faf124070e13807b4b109c2b17858703a1a261ab9e113edfae7ad"},"schema_version":"1.0","source":{"id":"2408.12598","kind":"arxiv","version":3}},"canonical_sha256":"e5ca2477424d0ae51201ee67498cc51402238cc1c70d27d428953576bdb1ad20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5ca2477424d0ae51201ee67498cc51402238cc1c70d27d428953576bdb1ad20","first_computed_at":"2026-07-05T10:45:54.601764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:54.601764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BEV9cOtaF9A+eqEQRTl6IcPkmEFflXSeYFg1g1nr5jcaWbbNDOOs8eu8qGrQJL35j2zz/dVP4TptuG5LaLACDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:54.602305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.12598","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73238ae18ae1a47efef3886cfbc640b6bebda5d943c7a83aff9822e25f8bb751","sha256:30fc9b17abca826b2f1eadd1488afd0ed1148480d2ef5ce5eb15a0f0bc1bbfbb"],"state_sha256":"c8cf8dbfcc14b225abd5a82d34662fdf244a087df018d08a2c3141d467684171"}