{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KRYKXYTNHUK7EGD3IQGKERGQAR","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":"003f5829e48c2973a826f7fba9f062b8d6b3cb6408b5727d04e27e623087474d","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T17:08:17Z","title_canon_sha256":"fd15e647e3aa4205c8c08678e2a51a929a45617cdef6d59dfc2a13d5bbc46215"},"schema_version":"1.0","source":{"id":"2411.16820","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16820","created_at":"2026-07-05T10:42:39Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16820v3","created_at":"2026-07-05T10:42:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16820","created_at":"2026-07-05T10:42:39Z"},{"alias_kind":"pith_short_12","alias_value":"KRYKXYTNHUK7","created_at":"2026-07-05T10:42:39Z"},{"alias_kind":"pith_short_16","alias_value":"KRYKXYTNHUK7EGD3","created_at":"2026-07-05T10:42:39Z"},{"alias_kind":"pith_short_8","alias_value":"KRYKXYTN","created_at":"2026-07-05T10:42:39Z"}],"graph_snapshots":[{"event_id":"sha256:b3e1633f74c3241a710f206b864b4655e71b13a384676697112b1e985032d70b","target":"graph","created_at":"2026-07-05T10:42:39Z","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/2411.16820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern 3D generation methods can rapidly create shapes from sparse or single views, but their outputs often lack geometric detail due to computational constraints. We present DetailGen3D, a generative approach specifically designed to enhance these generated 3D shapes. Our key insight is to model the coarse-to-fine transformation directly through data-dependent flows in latent space, avoiding the computational overhead of large-scale 3D generative models. We introduce a token matching strategy that ensures accurate spatial correspondence during refinement, enabling local detail synthesis while","authors_text":"Ding Liang, Jingxiang Sun, Ken Deng, Xin Cai, Yangguang Li, Yan-Pei Cao, Yebin Liu, Yuan-Chen Guo, Zi-Xin Zou","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T17:08:17Z","title":"DetailGen3D: Generative 3D Geometry Enhancement via Data-Dependent Flow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16820","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":"sha256:7a63b55ca7d44aa753f2c2f0db27b29e699f9e6a320aa79baa89181f4ca6b8e9","target":"record","created_at":"2026-07-05T10:42:39Z","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":"003f5829e48c2973a826f7fba9f062b8d6b3cb6408b5727d04e27e623087474d","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T17:08:17Z","title_canon_sha256":"fd15e647e3aa4205c8c08678e2a51a929a45617cdef6d59dfc2a13d5bbc46215"},"schema_version":"1.0","source":{"id":"2411.16820","kind":"arxiv","version":3}},"canonical_sha256":"5470abe26d3d15f2187b440ca244d0044927cfc47fdf6ec3cab5e8b8b184c769","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5470abe26d3d15f2187b440ca244d0044927cfc47fdf6ec3cab5e8b8b184c769","first_computed_at":"2026-07-05T10:42:39.421051Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:42:39.421051Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DWjITODUdT+eqdg1GcNrfTZZDGV4enAbkJCgTI1fzcgp6sTzuDQz0f3AWnm4vArlqpN70m0L3bqMxsu+IHD0Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:42:39.421531Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16820","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a63b55ca7d44aa753f2c2f0db27b29e699f9e6a320aa79baa89181f4ca6b8e9","sha256:b3e1633f74c3241a710f206b864b4655e71b13a384676697112b1e985032d70b"],"state_sha256":"613ac3bf5a853370eedbf07b3a5c5b7de57dd1c6eb35598813ff051885cd4856"}