{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:IPRLJBOUXF5HF4ECOK7KRHASWT","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":"801c9942a431a561d1dab69feb4650ae6704f91deab5039e795b3271145d913c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-24T19:53:41Z","title_canon_sha256":"13378094190a0578680d8c5a2e3a4e79085ce5d73d6579fce65398b6a5240db4"},"schema_version":"1.0","source":{"id":"1610.07584","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.07584","created_at":"2026-05-18T00:53:24Z"},{"alias_kind":"arxiv_version","alias_value":"1610.07584v2","created_at":"2026-05-18T00:53:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.07584","created_at":"2026-05-18T00:53:24Z"},{"alias_kind":"pith_short_12","alias_value":"IPRLJBOUXF5H","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IPRLJBOUXF5HF4EC","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IPRLJBOU","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:bbaface3c699384e8f194c130c9f29cc8ad4965586389ca6198b7dbcc023f5ae","target":"graph","created_at":"2026-05-18T00:53:24Z","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"},"paper":{"abstract_excerpt":"We study the problem of 3D object generation. We propose a novel framework, namely 3D Generative Adversarial Network (3D-GAN), which generates 3D objects from a probabilistic space by leveraging recent advances in volumetric convolutional networks and generative adversarial nets. The benefits of our model are three-fold: first, the use of an adversarial criterion, instead of traditional heuristic criteria, enables the generator to capture object structure implicitly and to synthesize high-quality 3D objects; second, the generator establishes a mapping from a low-dimensional probabilistic space","authors_text":"Chengkai Zhang, Jiajun Wu, Joshua B. Tenenbaum, Tianfan Xue, William T. Freeman","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-24T19:53:41Z","title":"Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.07584","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:f4a8f6ce8369b0822b910bfda20206a18c727c6b5db98ce9aee0a758252053e6","target":"record","created_at":"2026-05-18T00:53:24Z","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":"801c9942a431a561d1dab69feb4650ae6704f91deab5039e795b3271145d913c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-24T19:53:41Z","title_canon_sha256":"13378094190a0578680d8c5a2e3a4e79085ce5d73d6579fce65398b6a5240db4"},"schema_version":"1.0","source":{"id":"1610.07584","kind":"arxiv","version":2}},"canonical_sha256":"43e2b485d4b97a72f08272bea89c12b4e6f51a7061d084356aeac413cf12d652","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43e2b485d4b97a72f08272bea89c12b4e6f51a7061d084356aeac413cf12d652","first_computed_at":"2026-05-18T00:53:24.138504Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:24.138504Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vygsH9r1ueEc/DnqjKeFGa7kTwTbTb9TVOyinTfGFaSAAOYFvg1fGS15Ni5Z8YvT2Sk3jxYK/C4a239aU/F6AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:24.138915Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.07584","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4a8f6ce8369b0822b910bfda20206a18c727c6b5db98ce9aee0a758252053e6","sha256:bbaface3c699384e8f194c130c9f29cc8ad4965586389ca6198b7dbcc023f5ae"],"state_sha256":"7de128df24915311ed222a595f5994fe26a468a6e8a8e377071cd5a00b1caf5c"}