{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CZPVNGLB2IG4UOLFQQ73O5QO62","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":"769c8bab464f963b7ea492df3f55e14582c40c6f9eb8146e915f1a2cd1ea1bdc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-12T14:38:45Z","title_canon_sha256":"da4a23937f15b6d1c981cc0e5b4c2e24c69770a3c051327c5db37e2ee0b67585"},"schema_version":"1.0","source":{"id":"2503.09439","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.09439","created_at":"2026-06-19T16:11:10Z"},{"alias_kind":"arxiv_version","alias_value":"2503.09439v4","created_at":"2026-06-19T16:11:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.09439","created_at":"2026-06-19T16:11:10Z"},{"alias_kind":"pith_short_12","alias_value":"CZPVNGLB2IG4","created_at":"2026-06-19T16:11:10Z"},{"alias_kind":"pith_short_16","alias_value":"CZPVNGLB2IG4UOLF","created_at":"2026-06-19T16:11:10Z"},{"alias_kind":"pith_short_8","alias_value":"CZPVNGLB","created_at":"2026-06-19T16:11:10Z"}],"graph_snapshots":[{"event_id":"sha256:0dabd6619d2129b96edf1c7cb01dd0e0c79917e1bc61ff9aa333e13f61dd80f4","target":"graph","created_at":"2026-06-19T16:11:10Z","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/2503.09439/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional production workflow of high-precision mesh assets necessitates a cumbersome and laborious process of manual sculpting by specialized 3D artists/modelers. The recent years have witnessed remarkable advances in AI-empowered 3D content creation for generating plausible structures and intricate appearances from images or text prompts. However, synthesizing realistic surface details still poses great challenges, and enhancing the geometry fidelity of existing lower-quality 3D meshes (instead of image/text-to-3D generation) remains an open problem. In this paper, we introduce SuperCarve","authors_text":"Junhui Hou, Qijian Zhang, Wenping Wang, Xiaozheng Jian, Xuan Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-12T14:38:45Z","title":"SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.09439","kind":"arxiv","version":4},"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:d6381b03757f391db00c5638a3681e5e5c82b33cbb343f60d1a88a3783515218","target":"record","created_at":"2026-06-19T16:11:10Z","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":"769c8bab464f963b7ea492df3f55e14582c40c6f9eb8146e915f1a2cd1ea1bdc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-12T14:38:45Z","title_canon_sha256":"da4a23937f15b6d1c981cc0e5b4c2e24c69770a3c051327c5db37e2ee0b67585"},"schema_version":"1.0","source":{"id":"2503.09439","kind":"arxiv","version":4}},"canonical_sha256":"165f569961d20dca3965843fb7760ef6bd426809b03fa2ea3e70a1c136edb62a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"165f569961d20dca3965843fb7760ef6bd426809b03fa2ea3e70a1c136edb62a","first_computed_at":"2026-06-19T16:11:10.376527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:10.376527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ku8MgE1cntRSmWFl/KY9s1wdDrj8JNxNZpTX6s+8ZtLFP2awFHjv4F0viDC1+xxR2SRURqsW0PFCI7JmxOHjCw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:10.377016Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.09439","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6381b03757f391db00c5638a3681e5e5c82b33cbb343f60d1a88a3783515218","sha256:0dabd6619d2129b96edf1c7cb01dd0e0c79917e1bc61ff9aa333e13f61dd80f4"],"state_sha256":"1970bf368be691a1902f680c3723f2f305a512062b1670d9d604a149b4768add"}