{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:C4Q4YNV7DQLFOT5ZHCATMSDYE5","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":"d08cec20dc3aec081948112262ee1413de38e29cb83c8b9c82df554b5e0382e7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-03T08:47:55Z","title_canon_sha256":"18f66179346abeaab90cbaf2b21ae364a94d01889adc8c73e120fd401608dc99"},"schema_version":"1.0","source":{"id":"1808.01121","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.01121","created_at":"2026-05-18T00:08:20Z"},{"alias_kind":"arxiv_version","alias_value":"1808.01121v1","created_at":"2026-05-18T00:08:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.01121","created_at":"2026-05-18T00:08:20Z"},{"alias_kind":"pith_short_12","alias_value":"C4Q4YNV7DQLF","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"C4Q4YNV7DQLFOT5Z","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"C4Q4YNV7","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:48c7ce78cfb73e08b043f852806c6e02e0c0dca5913e08e09567087bbba3111f","target":"graph","created_at":"2026-05-18T00:08:20Z","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":"Recent advances in Deep Learning and probabilistic modeling have led to strong improvements in generative models for images. On the one hand, Generative Adversarial Networks (GANs) have contributed a highly effective adversarial learning procedure, but still suffer from stability issues. On the other hand, Conditional Variational Auto-Encoders (CVAE) models provide a sound way of conditional modeling but suffer from mode-mixing issues. Therefore, recent work has turned back to simple and stable regression models that are effective at generation but give up on the sampling mechanism and the lat","authors_text":"Bernt Schiele, Mario Fritz, Yang He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-03T08:47:55Z","title":"Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.01121","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":"sha256:8f41a78e79517e011f7a692eab1ad12bf9e9a0c22bef7591dfce9cc7d08aaf41","target":"record","created_at":"2026-05-18T00:08:20Z","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":"d08cec20dc3aec081948112262ee1413de38e29cb83c8b9c82df554b5e0382e7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-03T08:47:55Z","title_canon_sha256":"18f66179346abeaab90cbaf2b21ae364a94d01889adc8c73e120fd401608dc99"},"schema_version":"1.0","source":{"id":"1808.01121","kind":"arxiv","version":1}},"canonical_sha256":"1721cc36bf1c16574fb93881364878274639201fb92fe3420271a33a7e5dfead","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1721cc36bf1c16574fb93881364878274639201fb92fe3420271a33a7e5dfead","first_computed_at":"2026-05-18T00:08:20.336754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:20.336754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/POSrua4Q4fcVDJPeqq3Pfm6q3PkNn13zX5VeXAAPYoRQmCQDGqMbHWdZ70I//Eu0BWsdojXKBNO7NXYoD9hBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:20.337519Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.01121","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f41a78e79517e011f7a692eab1ad12bf9e9a0c22bef7591dfce9cc7d08aaf41","sha256:48c7ce78cfb73e08b043f852806c6e02e0c0dca5913e08e09567087bbba3111f"],"state_sha256":"994205a14c6f8cff6f2a1b67915cda2fefd3cc65f428af4587d0d0224b116d05"}