{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:73CR2UILBYAT4E445HMZPFAKVH","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":"2f2b59b5ad5a635f1bdee12e4c4bbed895bdd87ed88e9d01e3219272fbdc159f","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-06-29T10:32:58Z","title_canon_sha256":"53bce86bd42d9397f1c8bb525c6f5a7319caa6638871e71f212b38ba74224e6f"},"schema_version":"1.0","source":{"id":"2407.14268","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14268","created_at":"2026-07-05T08:46:09Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14268v1","created_at":"2026-07-05T08:46:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14268","created_at":"2026-07-05T08:46:09Z"},{"alias_kind":"pith_short_12","alias_value":"73CR2UILBYAT","created_at":"2026-07-05T08:46:09Z"},{"alias_kind":"pith_short_16","alias_value":"73CR2UILBYAT4E44","created_at":"2026-07-05T08:46:09Z"},{"alias_kind":"pith_short_8","alias_value":"73CR2UIL","created_at":"2026-07-05T08:46:09Z"}],"graph_snapshots":[{"event_id":"sha256:943718361491ea44e826cd2cc3c815df59b8fc1ce2d0fa527a0da28a6cf4eab7","target":"graph","created_at":"2026-07-05T08:46:09Z","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/2407.14268/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The visual appeal of urban environments significantly impacts residents' satisfaction with their living spaces and their overall mood, which in turn, affects their health and well-being. Given the resource-intensive nature of gathering evaluations on urban visual appeal through surveys or inquiries from residents, there is a constant quest for automated solutions to streamline this process and support spatial planning. In this study, we applied an off-the-shelf AI model to automate the analysis of urban visual appeal, using over 1,800 Google Street View images of Helsinki, Finland. By incorpor","authors_text":"Elias Willberg, Jussi Torkko, Milad Malekzadeh, Tuuli Toivonen","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-06-29T10:32:58Z","title":"Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14268","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":"sha256:4fc7f5044411e4009e9742cd326b44ba48bad74b3a0b9f4ed721b570adfdcdf7","target":"record","created_at":"2026-07-05T08:46:09Z","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":"2f2b59b5ad5a635f1bdee12e4c4bbed895bdd87ed88e9d01e3219272fbdc159f","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-06-29T10:32:58Z","title_canon_sha256":"53bce86bd42d9397f1c8bb525c6f5a7319caa6638871e71f212b38ba74224e6f"},"schema_version":"1.0","source":{"id":"2407.14268","kind":"arxiv","version":1}},"canonical_sha256":"fec51d510b0e013e139ce9d997940aa9e17109b8e51c3dad47e94d903da3adb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fec51d510b0e013e139ce9d997940aa9e17109b8e51c3dad47e94d903da3adb1","first_computed_at":"2026-07-05T08:46:09.724197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:09.724197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pnzw9EiOXuNtUbMbN4A928Zceler9tpbxcUF5NiBTsuhzLTEkOADNCl1AToxj2Xg3JUN9n9U6bmd1GusCrGXDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:09.724665Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14268","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4fc7f5044411e4009e9742cd326b44ba48bad74b3a0b9f4ed721b570adfdcdf7","sha256:943718361491ea44e826cd2cc3c815df59b8fc1ce2d0fa527a0da28a6cf4eab7"],"state_sha256":"e265042cab14adf345b4ebb05f3e8b55e412e7467b457bdc8256b57ab87477a3"}