{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CCVERABF2WNABJIUE3W3NEJ3CO","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":"501894e641ef73ae9b4231b0a4af60b9f00648e378abe4d7c53d41ff93ffeb6a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-12-02T00:24:35Z","title_canon_sha256":"989ecd703c4e159e1cf17f5ae636bd061bf8d3b55a4e53fb2312cc7826e3667d"},"schema_version":"1.0","source":{"id":"1912.00527","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.00527","created_at":"2026-07-05T00:23:14Z"},{"alias_kind":"arxiv_version","alias_value":"1912.00527v1","created_at":"2026-07-05T00:23:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.00527","created_at":"2026-07-05T00:23:14Z"},{"alias_kind":"pith_short_12","alias_value":"CCVERABF2WNA","created_at":"2026-07-05T00:23:14Z"},{"alias_kind":"pith_short_16","alias_value":"CCVERABF2WNABJIU","created_at":"2026-07-05T00:23:14Z"},{"alias_kind":"pith_short_8","alias_value":"CCVERABF","created_at":"2026-07-05T00:23:14Z"}],"graph_snapshots":[{"event_id":"sha256:3fcbfb7a1e6ad674914e0bb6e0a36b95e10bb535fc24342dfe80c1adf3b3041b","target":"graph","created_at":"2026-07-05T00:23:14Z","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/1912.00527/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite an impressive performance from the latest GAN for generating hyper-realistic images, GAN discriminators have difficulty evaluating the quality of an individual generated sample. This is because the task of evaluating the quality of a generated image differs from deciding if an image is real or fake. A generated image could be perfect except in a single area but still be detected as fake. Instead, we propose a novel approach for detecting where errors occur within a generated image. By collaging real images with generated images, we compute for each pixel, whether it belongs to the real","authors_text":"David Meger, Fengdi Che (Equal Contribution), Gregory Dudek, Tianzi Yang, Tzuyang Yu, Xiru Zhu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-12-02T00:24:35Z","title":"Detecting GAN generated errors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.00527","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:baa0b987881eb8adaa37dbc6e151039318513a1788272beb0ab9ce286e5c93e9","target":"record","created_at":"2026-07-05T00:23:14Z","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":"501894e641ef73ae9b4231b0a4af60b9f00648e378abe4d7c53d41ff93ffeb6a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-12-02T00:24:35Z","title_canon_sha256":"989ecd703c4e159e1cf17f5ae636bd061bf8d3b55a4e53fb2312cc7826e3667d"},"schema_version":"1.0","source":{"id":"1912.00527","kind":"arxiv","version":1}},"canonical_sha256":"10aa488025d59a00a51426edb6913b13956fabf0bd13ad8a900eacbd9f007eec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10aa488025d59a00a51426edb6913b13956fabf0bd13ad8a900eacbd9f007eec","first_computed_at":"2026-07-05T00:23:14.578084Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:23:14.578084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AzCYq1pLEgRI0G3Ik4TKFt04SokgdltW5QRsYlV6o3pcf6kZVUL7QC1DBnaVmNtJczRdLoJAnBNl5uBGV8EpCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:23:14.578431Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.00527","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baa0b987881eb8adaa37dbc6e151039318513a1788272beb0ab9ce286e5c93e9","sha256:3fcbfb7a1e6ad674914e0bb6e0a36b95e10bb535fc24342dfe80c1adf3b3041b"],"state_sha256":"abfde253e0bd35fdda161bc7c456bc90b22744e2134541db5c41000b61ec9668"}