{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:F3MC2GSQ6ONQF5FPXCEPQZBTW5","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":"d71934f88b3b3d8957e23219e8d2d42eb78c36340015b10362e0acbfb7ef875d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T09:25:36Z","title_canon_sha256":"4d7c0c4bb95dcb08ade6468f95fa65850e28801180b8b272c0f142c9a2dd99f2"},"schema_version":"1.0","source":{"id":"1711.10742","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10742","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10742v1","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10742","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"F3MC2GSQ6ONQ","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3MC2GSQ6ONQF5FP","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3MC2GSQ","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:7b0f8138c317e2ff40daf012de69232b03c877d39a032ef101d5b5da8dcf8e0a","target":"graph","created_at":"2026-05-18T00:29:17Z","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":"Generative Adversarial Networks are proved to be efficient on various kinds of image generation tasks. However, it is still a challenge if we want to generate images precisely. Many researchers focus on how to generate images with one attribute. But image generation under multiple attributes is still a tough work. In this paper, we try to generate a variety of face images under multiple constraints using a pipeline process. The Pip-GAN (Pipeline Generative Adversarial Network) we present employs a pipeline network structure which can generate a complex facial image step by step using a neutral","authors_text":"Chao Wang, Haiyong Zheng, Nan Wang, Zhibin Yu, Ziqiang Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T09:25:36Z","title":"Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10742","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":"sha256:408ef13799bda7cd9e9c19087bfa7d1cfcddfbd3310eed9b3a87960d7607b40f","target":"record","created_at":"2026-05-18T00:29:17Z","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":"d71934f88b3b3d8957e23219e8d2d42eb78c36340015b10362e0acbfb7ef875d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T09:25:36Z","title_canon_sha256":"4d7c0c4bb95dcb08ade6468f95fa65850e28801180b8b272c0f142c9a2dd99f2"},"schema_version":"1.0","source":{"id":"1711.10742","kind":"arxiv","version":1}},"canonical_sha256":"2ed82d1a50f39b02f4afb888f86433b7471b00c223f7d7d60d699a12e88c0342","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ed82d1a50f39b02f4afb888f86433b7471b00c223f7d7d60d699a12e88c0342","first_computed_at":"2026-05-18T00:29:17.128416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:17.128416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7PSc2/g4ickQ+ElDSUJUn29e2vJbK0cS+GfephP8nARCca2SbFpAsJng1oeLjBXcL0LkAvQvID75hbZp6p5FDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:17.128941Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.10742","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:408ef13799bda7cd9e9c19087bfa7d1cfcddfbd3310eed9b3a87960d7607b40f","sha256:7b0f8138c317e2ff40daf012de69232b03c877d39a032ef101d5b5da8dcf8e0a"],"state_sha256":"4583cf9cac891eda40b69f7169d552ff9d6b38f185186136b8f9ff49edf5bbbd"}