{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SH2NIJMBAKKCXCWPHQO5E42S2M","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":"eddf776cd655d2cda7c5488f4be6c66249c1ec473378a72d28eaa9d3b8e82016","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T21:45:44Z","title_canon_sha256":"8f51b548ca5ea9d2f831ed36f6ab82e723051db49f33302d54e8dfeb5173d164"},"schema_version":"1.0","source":{"id":"1807.03877","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.03877","created_at":"2026-05-18T00:10:58Z"},{"alias_kind":"arxiv_version","alias_value":"1807.03877v1","created_at":"2026-05-18T00:10:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.03877","created_at":"2026-05-18T00:10:58Z"},{"alias_kind":"pith_short_12","alias_value":"SH2NIJMBAKKC","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SH2NIJMBAKKCXCWP","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SH2NIJMB","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:780345692a15420c78c9ab1fcbc919c8ef6fa92f089eed1be64f946b8ece224b","target":"graph","created_at":"2026-05-18T00:10:58Z","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":"Deep generative models have shown promising results in generating realistic images, but it is still non-trivial to generate images with complicated structures. The main reason is that most of the current generative models fail to explore the structures in the images including spatial layout and semantic relations between objects. To address this issue, we propose a novel deep structured generative model which boosts generative adversarial networks (GANs) with the aid of structure information. In particular, the layout or structure of the scene is encoded by a stochastic and-or graph (sAOG), in","authors_text":"Bo Zhang, Hang Su, Haoyu Liang, Jun Zhu, Kun Xu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T21:45:44Z","title":"Deep Structured Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.03877","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":"sha256:7e8bec8e2f48f0278e71bd02b4ef137bb2188304ffc186c1542cec71b3067ab3","target":"record","created_at":"2026-05-18T00:10:58Z","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":"eddf776cd655d2cda7c5488f4be6c66249c1ec473378a72d28eaa9d3b8e82016","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T21:45:44Z","title_canon_sha256":"8f51b548ca5ea9d2f831ed36f6ab82e723051db49f33302d54e8dfeb5173d164"},"schema_version":"1.0","source":{"id":"1807.03877","kind":"arxiv","version":1}},"canonical_sha256":"91f4d4258102942b8acf3c1dd27352d304a951fea378d7259a27594bedf0a9d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91f4d4258102942b8acf3c1dd27352d304a951fea378d7259a27594bedf0a9d1","first_computed_at":"2026-05-18T00:10:58.832669Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:58.832669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D6TXDSrPTcMXwBu7sxuCFKti3so4AYmtsEkZLzEHjgXzp70cqAVHqMnWhlD4DsX8kN8bz6Z3em48+0rg+I2VDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:58.833454Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.03877","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e8bec8e2f48f0278e71bd02b4ef137bb2188304ffc186c1542cec71b3067ab3","sha256:780345692a15420c78c9ab1fcbc919c8ef6fa92f089eed1be64f946b8ece224b"],"state_sha256":"f0c07d372d3a13c1989f5f97d8c53fee80d302c44701aa55cd0b6390bf85defb"}