{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MDAERHC2GIZZGYQIARKEKZ4QJI","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":"30c71067310213264a7b74fe5ece659ce6843b16d9fe8d65e90a6dd97e0ea4ea","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2024-02-06T04:41:06Z","title_canon_sha256":"dad9922b66ca7a13f6ca2164aacab7998385ef5ab9a16b39873a4f6a584f4af2"},"schema_version":"1.0","source":{"id":"2402.03700","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03700","created_at":"2026-07-05T07:41:56Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03700v1","created_at":"2026-07-05T07:41:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03700","created_at":"2026-07-05T07:41:56Z"},{"alias_kind":"pith_short_12","alias_value":"MDAERHC2GIZZ","created_at":"2026-07-05T07:41:56Z"},{"alias_kind":"pith_short_16","alias_value":"MDAERHC2GIZZGYQI","created_at":"2026-07-05T07:41:56Z"},{"alias_kind":"pith_short_8","alias_value":"MDAERHC2","created_at":"2026-07-05T07:41:56Z"}],"graph_snapshots":[{"event_id":"sha256:8deac671e4dc119adf4edaa6f21b84318c93924df1fe86593e7df10964fcbd29","target":"graph","created_at":"2026-07-05T07:41:56Z","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/2402.03700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid development of generative AI (GenAI) models in computer vision necessitates effective evaluation methods to ensure their quality and fairness. Existing tools primarily focus on dataset quality assurance and model explainability, leaving a significant gap in GenAI output evaluation during model development. Current practices often depend on developers' subjective visual assessments, which may lack scalability and generalizability. This paper bridges this gap by conducting a formative study with GenAI model developers in an industrial setting. Our findings led to the development of Gen","authors_text":"Hanspeter Pfister, Jui-Hsien Wang, Tica Lin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2024-02-06T04:41:06Z","title":"GenLens: A Systematic Evaluation of Visual GenAI Model Outputs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03700","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":"sha256:44be3291b6edf5f99af642779f3480bf94d5fafc315ce7699fefddb7b160e543","target":"record","created_at":"2026-07-05T07:41:56Z","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":"30c71067310213264a7b74fe5ece659ce6843b16d9fe8d65e90a6dd97e0ea4ea","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2024-02-06T04:41:06Z","title_canon_sha256":"dad9922b66ca7a13f6ca2164aacab7998385ef5ab9a16b39873a4f6a584f4af2"},"schema_version":"1.0","source":{"id":"2402.03700","kind":"arxiv","version":1}},"canonical_sha256":"60c0489c5a323393620804544567904a34365b091c6f290aadeb2c6468e4e596","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60c0489c5a323393620804544567904a34365b091c6f290aadeb2c6468e4e596","first_computed_at":"2026-07-05T07:41:56.773502Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:41:56.773502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uFv/JC0vVW1NU+BrM76mbH15xYTm/8YGKcVsv4qVQ++LWBTIMgJaXsacNfn/2bU58qSgY0Dgd5n8u4oW/E66Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:41:56.773942Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.03700","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44be3291b6edf5f99af642779f3480bf94d5fafc315ce7699fefddb7b160e543","sha256:8deac671e4dc119adf4edaa6f21b84318c93924df1fe86593e7df10964fcbd29"],"state_sha256":"9314f105a60ff1f43c2e3773e29051bce7166579991846bced5a548f8bd3eae2"}