{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:RR44JBL5LKWNF4IAIBBWQDZY3M","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":"6da7b2408943b72a3976883489c4b0316070534c2f0768f3012420121f200917","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-18T17:03:54Z","title_canon_sha256":"158d16569c2b359a18544d4e9d882aa7dc2a291ef7d81247489bdff2c23bc22b"},"schema_version":"1.0","source":{"id":"1506.05751","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.05751","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"arxiv_version","alias_value":"1506.05751v1","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.05751","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"pith_short_12","alias_value":"RR44JBL5LKWN","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"RR44JBL5LKWNF4IA","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"RR44JBL5","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:5dd7bab8dab730a4434994d4d5aced61d35f3402ee34ebd9534bcee4cdd0614f","target":"graph","created_at":"2026-05-18T01:44:09Z","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":"In this paper we introduce a generative parametric model capable of producing high quality samples of natural images. Our approach uses a cascade of convolutional networks within a Laplacian pyramid framework to generate images in a coarse-to-fine fashion. At each level of the pyramid, a separate generative convnet model is trained using the Generative Adversarial Nets (GAN) approach (Goodfellow et al.). Samples drawn from our model are of significantly higher quality than alternate approaches. In a quantitative assessment by human evaluators, our CIFAR10 samples were mistaken for real images ","authors_text":"Arthur Szlam, Emily Denton, Rob Fergus, Soumith Chintala","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-18T17:03:54Z","title":"Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.05751","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:d967e3798fb69d300a26504598d39560c2f53d4dc317a3d65e5bc6df337db48e","target":"record","created_at":"2026-05-18T01:44:09Z","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":"6da7b2408943b72a3976883489c4b0316070534c2f0768f3012420121f200917","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-18T17:03:54Z","title_canon_sha256":"158d16569c2b359a18544d4e9d882aa7dc2a291ef7d81247489bdff2c23bc22b"},"schema_version":"1.0","source":{"id":"1506.05751","kind":"arxiv","version":1}},"canonical_sha256":"8c79c4857d5aacd2f1004043680f38db1dd52ac03b3e2e16e3d4a2079d09b78e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c79c4857d5aacd2f1004043680f38db1dd52ac03b3e2e16e3d4a2079d09b78e","first_computed_at":"2026-05-18T01:44:09.796511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:44:09.796511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wqTgpPVIzFbTPqqPB3FMQDumPddyghErMG5HNimFyls6VKEjBk1JKT1+OR1eEMzHFp+ah5t8PzN5lVBMRcuRDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:44:09.797032Z","signed_message":"canonical_sha256_bytes"},"source_id":"1506.05751","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d967e3798fb69d300a26504598d39560c2f53d4dc317a3d65e5bc6df337db48e","sha256:5dd7bab8dab730a4434994d4d5aced61d35f3402ee34ebd9534bcee4cdd0614f"],"state_sha256":"8923aa6d2077815490091d9662327d25af6a7a31ede7bbec90b86703384e6211"}