{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VTTWYO3BKEXSITLKLZ5KXQHLP3","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":"9a54503bfe0e4f2f9272c8937d21d7d8028eceebb8e1a12d575fd57cbb102f63","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:48:17Z","title_canon_sha256":"ee70c58959e807d0fd0ecf5082552e34c44ab1982a3a335ff8b717c2ef8aeccc"},"schema_version":"1.0","source":{"id":"2504.19545","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19545","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19545v1","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19545","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"VTTWYO3BKEXS","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"VTTWYO3BKEXSITLK","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"VTTWYO3B","created_at":"2026-07-05T10:54:59Z"}],"graph_snapshots":[{"event_id":"sha256:e9f69011916a106f0cd7f722c6037bad7157148db5e058a9aa821f5bde28f19f","target":"graph","created_at":"2026-07-05T10:54:59Z","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/2504.19545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quad meshes are essential in geometric modeling and computational mechanics. Although learning-based methods for triangle mesh demonstrate considerable advancements, quad mesh generation remains less explored due to the challenge of ensuring coplanarity, convexity, and quad-only meshes. In this paper, we present Point2Quad, the first learning-based method for quad-only mesh generation from point clouds. The key idea is learning to identify quad mesh with fused pointwise and facewise features. Specifically, Point2Quad begins with a k-NN-based candidate generation considering the coplanarity and","authors_text":"Junyi Duan, Na Lei, Weimin Wang, Zezeng Li, Zhihui Qi, Ziliang Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:48:17Z","title":"Point2Quad: Generating Quad Meshes from Point Clouds via Face Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19545","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:f2a861a4b73c7054de2303e2856e6853e4c9c659ef53d6b204d8e84432e28077","target":"record","created_at":"2026-07-05T10:54:59Z","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":"9a54503bfe0e4f2f9272c8937d21d7d8028eceebb8e1a12d575fd57cbb102f63","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:48:17Z","title_canon_sha256":"ee70c58959e807d0fd0ecf5082552e34c44ab1982a3a335ff8b717c2ef8aeccc"},"schema_version":"1.0","source":{"id":"2504.19545","kind":"arxiv","version":1}},"canonical_sha256":"ace76c3b61512f244d6a5e7aabc0eb7ecbc29128cda0f1167c311aeed27f8b6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ace76c3b61512f244d6a5e7aabc0eb7ecbc29128cda0f1167c311aeed27f8b6c","first_computed_at":"2026-07-05T10:54:59.369469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:59.369469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ezn64Vdj9hilWE7xH0V0JZsudcXHH/ddZLWGnxqGOS6eb7FsBD8g/rU7KCGq+ty11fyuL72nt1ZgOWZI8902AA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:59.369954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19545","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2a861a4b73c7054de2303e2856e6853e4c9c659ef53d6b204d8e84432e28077","sha256:e9f69011916a106f0cd7f722c6037bad7157148db5e058a9aa821f5bde28f19f"],"state_sha256":"954cb4a398abd16fa6354f0f27668771e3fc4f18f3814eebf56b986ec3529b63"}