{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4OHOC2KHAFVTZUIIIMLBTR7BU6","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":"f6a3df8988674160c2113b6bf0ed758b7117c0fc2e5b9f674bd2f36a2ea5ea46","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2023-03-14T17:59:01Z","title_canon_sha256":"4eef004302227640f3c7305ef17d30c5b21cdb5d4456db2499e8fcdb35e37c1f"},"schema_version":"1.0","source":{"id":"2303.08133","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.08133","created_at":"2026-07-05T06:01:18Z"},{"alias_kind":"arxiv_version","alias_value":"2303.08133v2","created_at":"2026-07-05T06:01:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.08133","created_at":"2026-07-05T06:01:18Z"},{"alias_kind":"pith_short_12","alias_value":"4OHOC2KHAFVT","created_at":"2026-07-05T06:01:18Z"},{"alias_kind":"pith_short_16","alias_value":"4OHOC2KHAFVTZUII","created_at":"2026-07-05T06:01:18Z"},{"alias_kind":"pith_short_8","alias_value":"4OHOC2KH","created_at":"2026-07-05T06:01:18Z"}],"graph_snapshots":[{"event_id":"sha256:6a11de23ad7625589dcf8233168500be3467126fc830a50b7562c26906803d39","target":"graph","created_at":"2026-07-05T06:01:18Z","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/2303.08133/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider the task of generating realistic 3D shapes, which is useful for a variety of applications such as automatic scene generation and physical simulation. Compared to other 3D representations like voxels and point clouds, meshes are more desirable in practice, because (1) they enable easy and arbitrary manipulation of shapes for relighting and simulation, and (2) they can fully leverage the power of modern graphics pipelines which are mostly optimized for meshes. Previous scalable methods for generating meshes typically rely on sub-optimal post-processing, and they tend to produce overl","authors_text":"Derek Nowrouzezahrai, Liam Paull, Michael J. Black, Weiyang Liu, Yao Feng, Zhen Liu","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.08133","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":"sha256:1345da8df97f711474d5e3479a70524ce089bbf6270e57c83866feadb5412929","target":"record","created_at":"2026-07-05T06:01:18Z","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":"f6a3df8988674160c2113b6bf0ed758b7117c0fc2e5b9f674bd2f36a2ea5ea46","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2023-03-14T17:59:01Z","title_canon_sha256":"4eef004302227640f3c7305ef17d30c5b21cdb5d4456db2499e8fcdb35e37c1f"},"schema_version":"1.0","source":{"id":"2303.08133","kind":"arxiv","version":2}},"canonical_sha256":"e38ee16947016b3cd108431619c7e1a7b51bd190e8fa63539039eab3edce1dbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e38ee16947016b3cd108431619c7e1a7b51bd190e8fa63539039eab3edce1dbf","first_computed_at":"2026-07-05T06:01:18.018231Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:01:18.018231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0kpeElYu++L1YOppPkcT8ZjjYRk4lYBJ9pbLiDjKopjocBz2pFB0JI09Aw7nDvAOtV13AI9tJJ18AeCpu+fTCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:01:18.018716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.08133","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1345da8df97f711474d5e3479a70524ce089bbf6270e57c83866feadb5412929","sha256:6a11de23ad7625589dcf8233168500be3467126fc830a50b7562c26906803d39"],"state_sha256":"8f61ffa5bc70f230c176065f64e8bf92347739e114514957e5d16ccd934bf846"}