{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YLBG6YBQXUEWQM3UGI7QQ5C6WS","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":"6523479f85b7a54cdf8868e4f30b4d46ae7c07418346630eda2837020895cccb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T03:09:38Z","title_canon_sha256":"368e16166d510794bb6201d8c775f5f73113ef27a1b56da6ca46dae3e4bb39dd"},"schema_version":"1.0","source":{"id":"1911.06460","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.06460","created_at":"2026-07-05T00:19:23Z"},{"alias_kind":"arxiv_version","alias_value":"1911.06460v1","created_at":"2026-07-05T00:19:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.06460","created_at":"2026-07-05T00:19:23Z"},{"alias_kind":"pith_short_12","alias_value":"YLBG6YBQXUEW","created_at":"2026-07-05T00:19:23Z"},{"alias_kind":"pith_short_16","alias_value":"YLBG6YBQXUEWQM3U","created_at":"2026-07-05T00:19:23Z"},{"alias_kind":"pith_short_8","alias_value":"YLBG6YBQ","created_at":"2026-07-05T00:19:23Z"}],"graph_snapshots":[{"event_id":"sha256:10d45d4df4c40ece1eead07811d8586a2e3126add1aa132d51846b980b188e84","target":"graph","created_at":"2026-07-05T00:19:23Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1911.06460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative Adversarial Networks (GANs) have shown great success in many applications. In this work, we present a novel method that leverages human annotations to improve the quality of generated images. Unlike previous paradigms that directly ask annotators to distinguish between real and fake data in a straightforward way, we propose and annotate a set of carefully designed attributes that encode important image information at various levels, to understand the differences between fake and real images. Specifically, we have collected an annotated dataset that contains 600 fake images and 400 r","authors_text":"Juanyong Duan, Qi Zhao, Sim Heng Ong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T03:09:38Z","title":"Human Annotations Improve GAN Performances"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.06460","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":"sha256:983086c49454ea662c47931cdd331a4e5d5bb69c540cba4f943254a4c697e309","target":"record","created_at":"2026-07-05T00:19:23Z","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":"6523479f85b7a54cdf8868e4f30b4d46ae7c07418346630eda2837020895cccb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T03:09:38Z","title_canon_sha256":"368e16166d510794bb6201d8c775f5f73113ef27a1b56da6ca46dae3e4bb39dd"},"schema_version":"1.0","source":{"id":"1911.06460","kind":"arxiv","version":1}},"canonical_sha256":"c2c26f6030bd09683374323f08745eb4ab0bc411634f6ff8ec5258d426bdbf08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2c26f6030bd09683374323f08745eb4ab0bc411634f6ff8ec5258d426bdbf08","first_computed_at":"2026-07-05T00:19:23.853751Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:19:23.853751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"18KgFkgiBTiQaFovkqzSaBsHRVPlvVbAXj2UzXHkKZNhT0+x6PI6OcclkP5J09D1bT74mQ1fXu96H/iNP2u6DA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:19:23.854104Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.06460","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:983086c49454ea662c47931cdd331a4e5d5bb69c540cba4f943254a4c697e309","sha256:10d45d4df4c40ece1eead07811d8586a2e3126add1aa132d51846b980b188e84"],"state_sha256":"ec115a5a8de94501f84e925f817059d211b9a22b340c84e398677027db73466a"}