{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7DX5UFFYE3JJVA5MHQNFV4SMH3","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":"258d944c5481639b75ca4bba99a3868b239407df5be80aa49782baee7c3ae6c1","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T05:07:23Z","title_canon_sha256":"b485a1b87aa3bc0757c2e6819e44904eb4fd58f49075278c684583fcb18b9382"},"schema_version":"1.0","source":{"id":"2305.04461","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.04461","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"arxiv_version","alias_value":"2305.04461v2","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.04461","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_12","alias_value":"7DX5UFFYE3JJ","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_16","alias_value":"7DX5UFFYE3JJVA5M","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_8","alias_value":"7DX5UFFY","created_at":"2026-07-05T06:08:28Z"}],"graph_snapshots":[{"event_id":"sha256:ce944cf1c9139c70fb430b9d7fa6ca3de4c94fbff2fdc508c4b83e5c69634bcb","target":"graph","created_at":"2026-07-05T06:08:28Z","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/2305.04461/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and control the local geometry of generated shapes. To address these challenges, we propose a diffusion-based 3D generation framework -- locally attentional SDF diffusion, to model plausible 3D shapes, via 2D sketch image input. Our method is built on a two-stage diffusion model. The first stage, named occupancy-diffusion, aims to generate a low-resolution occupancy field to approximate the shape shell. The second stage, na","authors_text":"Hao Pan, Heung-Yeung Shum, Peng-Shuai Wang, Xin Tong, Xin-Yang Zheng, Yang Liu","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T05:07:23Z","title":"Locally Attentional SDF Diffusion for Controllable 3D Shape Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.04461","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":"sha256:420cd287deaba1e1a2edf832796e01ef43d03dd301052103e3effa0ff58ba0c7","target":"record","created_at":"2026-07-05T06:08:28Z","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":"258d944c5481639b75ca4bba99a3868b239407df5be80aa49782baee7c3ae6c1","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T05:07:23Z","title_canon_sha256":"b485a1b87aa3bc0757c2e6819e44904eb4fd58f49075278c684583fcb18b9382"},"schema_version":"1.0","source":{"id":"2305.04461","kind":"arxiv","version":2}},"canonical_sha256":"f8efda14b826d29a83ac3c1a5af24c3edefe380f7e89eb539688bdf626e64dea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8efda14b826d29a83ac3c1a5af24c3edefe380f7e89eb539688bdf626e64dea","first_computed_at":"2026-07-05T06:08:28.608642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:08:28.608642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FigB2RfjfWj9KAkQ71wfsZ7B0x0dmKCLRB6/UnEsBpl9lWgWZ38VOHmxkxOct2/LhcypT+eLfJ0Pl9eDwKMjDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:08:28.609290Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.04461","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:420cd287deaba1e1a2edf832796e01ef43d03dd301052103e3effa0ff58ba0c7","sha256:ce944cf1c9139c70fb430b9d7fa6ca3de4c94fbff2fdc508c4b83e5c69634bcb"],"state_sha256":"86ff2823388e51b69f7ea350da2892ea21aa88050bdb8cca18c757c3dddc9025"}