{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CCVERABF2WNABJIUE3W3NEJ3CO","short_pith_number":"pith:CCVERABF","canonical_record":{"source":{"id":"1912.00527","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-12-02T00:24:35Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"989ecd703c4e159e1cf17f5ae636bd061bf8d3b55a4e53fb2312cc7826e3667d","abstract_canon_sha256":"501894e641ef73ae9b4231b0a4af60b9f00648e378abe4d7c53d41ff93ffeb6a"},"schema_version":"1.0"},"canonical_sha256":"10aa488025d59a00a51426edb6913b13956fabf0bd13ad8a900eacbd9f007eec","source":{"kind":"arxiv","id":"1912.00527","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CCVERABF2WNABJIUE3W3NEJ3CO","target":"record","payload":{"canonical_record":{"source":{"id":"1912.00527","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-12-02T00:24:35Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"989ecd703c4e159e1cf17f5ae636bd061bf8d3b55a4e53fb2312cc7826e3667d","abstract_canon_sha256":"501894e641ef73ae9b4231b0a4af60b9f00648e378abe4d7c53d41ff93ffeb6a"},"schema_version":"1.0"},"canonical_sha256":"10aa488025d59a00a51426edb6913b13956fabf0bd13ad8a900eacbd9f007eec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:23:14.578431Z","signature_b64":"AzCYq1pLEgRI0G3Ik4TKFt04SokgdltW5QRsYlV6o3pcf6kZVUL7QC1DBnaVmNtJczRdLoJAnBNl5uBGV8EpCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10aa488025d59a00a51426edb6913b13956fabf0bd13ad8a900eacbd9f007eec","last_reissued_at":"2026-07-05T00:23:14.578084Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:23:14.578084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.00527","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:23:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bck2TH2skAmoLYO82M+E6espC289Kf49+uUGtjT2BTi9xo3x9oVJ98qrlTqWD2f1MdxuQ3Ct0cjdzGzdUsfKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:45:03.600101Z"},"content_sha256":"baa0b987881eb8adaa37dbc6e151039318513a1788272beb0ab9ce286e5c93e9","schema_version":"1.0","event_id":"sha256:baa0b987881eb8adaa37dbc6e151039318513a1788272beb0ab9ce286e5c93e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CCVERABF2WNABJIUE3W3NEJ3CO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting GAN generated errors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"David Meger, Fengdi Che (Equal Contribution), Gregory Dudek, Tianzi Yang, Tzuyang Yu, Xiru Zhu","submitted_at":"2019-12-02T00:24:35Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.00527","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1912.00527/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:23:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"psBKHsS+Ohoie1+5SPotgkv6sxVR/mVpkH+KG3e6UZd6PbV8ftrwCxOR5RnggxI1i4lHbvfaIMUem4Beit2HAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:45:03.600743Z"},"content_sha256":"3fcbfb7a1e6ad674914e0bb6e0a36b95e10bb535fc24342dfe80c1adf3b3041b","schema_version":"1.0","event_id":"sha256:3fcbfb7a1e6ad674914e0bb6e0a36b95e10bb535fc24342dfe80c1adf3b3041b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CCVERABF2WNABJIUE3W3NEJ3CO/bundle.json","state_url":"https://pith.science/pith/CCVERABF2WNABJIUE3W3NEJ3CO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CCVERABF2WNABJIUE3W3NEJ3CO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T01:45:03Z","links":{"resolver":"https://pith.science/pith/CCVERABF2WNABJIUE3W3NEJ3CO","bundle":"https://pith.science/pith/CCVERABF2WNABJIUE3W3NEJ3CO/bundle.json","state":"https://pith.science/pith/CCVERABF2WNABJIUE3W3NEJ3CO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CCVERABF2WNABJIUE3W3NEJ3CO/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ynJaL03ApfCsvir27TVAr3XOm6hdAdClhaBwxLX3UJVrJcpK7EpLs+yDU71h+IwrxcATG3N7KOZR47J2BQ86Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:45:03.606127Z","bundle_sha256":"02baaffe89561c6163bde1407b6b95dab55a9e3754694808317a045fb8be7a46"}}