{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6F7ZC3CVJF2XISHQVQBV5VLQY2","short_pith_number":"pith:6F7ZC3CV","canonical_record":{"source":{"id":"2405.19464","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-29T19:23:07Z","cross_cats_sorted":[],"title_canon_sha256":"57368083d354d287fbbaae3dcf25541fc1107c4959103455db68d7933cf477e7","abstract_canon_sha256":"1f2b8324a476dbf126eae08f93b2a5547e4d61aecf05da0fd80a1ee3d9d1b9a1"},"schema_version":"1.0"},"canonical_sha256":"f17f916c5549757448f0ac035ed570c69cfcff8d33baddb7243c010dacec4aad","source":{"kind":"arxiv","id":"2405.19464","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.19464","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"arxiv_version","alias_value":"2405.19464v2","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.19464","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"pith_short_12","alias_value":"6F7ZC3CVJF2X","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"pith_short_16","alias_value":"6F7ZC3CVJF2XISHQ","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"pith_short_8","alias_value":"6F7ZC3CV","created_at":"2026-07-05T08:52:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6F7ZC3CVJF2XISHQVQBV5VLQY2","target":"record","payload":{"canonical_record":{"source":{"id":"2405.19464","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-29T19:23:07Z","cross_cats_sorted":[],"title_canon_sha256":"57368083d354d287fbbaae3dcf25541fc1107c4959103455db68d7933cf477e7","abstract_canon_sha256":"1f2b8324a476dbf126eae08f93b2a5547e4d61aecf05da0fd80a1ee3d9d1b9a1"},"schema_version":"1.0"},"canonical_sha256":"f17f916c5549757448f0ac035ed570c69cfcff8d33baddb7243c010dacec4aad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:54.353554Z","signature_b64":"ZPg93TAVzvzPEsb2EiZy7sTcWiMp9QVZOd69cG1KZoXIbkfB5hp0rrb6oK96hx/LzTG3fw/PaNc9SIfBJew0AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f17f916c5549757448f0ac035ed570c69cfcff8d33baddb7243c010dacec4aad","last_reissued_at":"2026-07-05T08:52:54.353095Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:54.353095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.19464","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:52:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fcbBMuhi028Ji0wEKloeY3r8An1arW3OAd4AxhxETwlc9QbVEVfR2fAnpc0Y66Ew8OO8V4hTp+DtAOCzCXcZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:59:32.675637Z"},"content_sha256":"dc6880dc1f201c58f8e3b7acac765272ebf25e5a07218c5c548ef86a87203d60","schema_version":"1.0","event_id":"sha256:dc6880dc1f201c58f8e3b7acac765272ebf25e5a07218c5c548ef86a87203d60"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6F7ZC3CVJF2XISHQVQBV5VLQY2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Femi Omitaomu, Haowen Xu, Sisi Zlatanova, Soheil Sabri, Xiao Li, Yongze Song","submitted_at":"2024-05-29T19:23:07Z","abstract_excerpt":"The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite their effectiveness, these applications often rely on massive amounts of high-dimensional and multi-domain data for monitoring and characterizing different urban sub-systems, presenting challenges in application areas that are limited by data quality and availability, as well as costly efforts for generating urban scenarios and design alternatives. As an emer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.19464","kind":"arxiv","version":2},"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/2405.19464/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":"2026-07-05T08:52:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rvRRNEfx1BswOtisG3rV8PY8+2IPGGxL+iatFka2wOMGi6mfHdqR+wdmnWaEoivEb2bxcJWrxnRgocuhqMtMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:59:32.676149Z"},"content_sha256":"89692f9704e7781328b6c84f585dd71047d9f247b758788d9f71fa29dbf82772","schema_version":"1.0","event_id":"sha256:89692f9704e7781328b6c84f585dd71047d9f247b758788d9f71fa29dbf82772"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2/bundle.json","state_url":"https://pith.science/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2/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":"2026-08-07T20:59:32Z","links":{"resolver":"https://pith.science/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2","bundle":"https://pith.science/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2/bundle.json","state":"https://pith.science/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6F7ZC3CVJF2XISHQVQBV5VLQY2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6F7ZC3CVJF2XISHQVQBV5VLQY2","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":"1f2b8324a476dbf126eae08f93b2a5547e4d61aecf05da0fd80a1ee3d9d1b9a1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-29T19:23:07Z","title_canon_sha256":"57368083d354d287fbbaae3dcf25541fc1107c4959103455db68d7933cf477e7"},"schema_version":"1.0","source":{"id":"2405.19464","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.19464","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"arxiv_version","alias_value":"2405.19464v2","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.19464","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"pith_short_12","alias_value":"6F7ZC3CVJF2X","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"pith_short_16","alias_value":"6F7ZC3CVJF2XISHQ","created_at":"2026-07-05T08:52:54Z"},{"alias_kind":"pith_short_8","alias_value":"6F7ZC3CV","created_at":"2026-07-05T08:52:54Z"}],"graph_snapshots":[{"event_id":"sha256:89692f9704e7781328b6c84f585dd71047d9f247b758788d9f71fa29dbf82772","target":"graph","created_at":"2026-07-05T08:52:54Z","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/2405.19464/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite their effectiveness, these applications often rely on massive amounts of high-dimensional and multi-domain data for monitoring and characterizing different urban sub-systems, presenting challenges in application areas that are limited by data quality and availability, as well as costly efforts for generating urban scenarios and design alternatives. As an emer","authors_text":"Femi Omitaomu, Haowen Xu, Sisi Zlatanova, Soheil Sabri, Xiao Li, Yongze Song","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-29T19:23:07Z","title":"Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.19464","kind":"arxiv","version":2},"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:dc6880dc1f201c58f8e3b7acac765272ebf25e5a07218c5c548ef86a87203d60","target":"record","created_at":"2026-07-05T08:52:54Z","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":"1f2b8324a476dbf126eae08f93b2a5547e4d61aecf05da0fd80a1ee3d9d1b9a1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-29T19:23:07Z","title_canon_sha256":"57368083d354d287fbbaae3dcf25541fc1107c4959103455db68d7933cf477e7"},"schema_version":"1.0","source":{"id":"2405.19464","kind":"arxiv","version":2}},"canonical_sha256":"f17f916c5549757448f0ac035ed570c69cfcff8d33baddb7243c010dacec4aad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f17f916c5549757448f0ac035ed570c69cfcff8d33baddb7243c010dacec4aad","first_computed_at":"2026-07-05T08:52:54.353095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:54.353095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZPg93TAVzvzPEsb2EiZy7sTcWiMp9QVZOd69cG1KZoXIbkfB5hp0rrb6oK96hx/LzTG3fw/PaNc9SIfBJew0AA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:54.353554Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.19464","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc6880dc1f201c58f8e3b7acac765272ebf25e5a07218c5c548ef86a87203d60","sha256:89692f9704e7781328b6c84f585dd71047d9f247b758788d9f71fa29dbf82772"],"state_sha256":"395c5e0a1bca6b32c7e0b0e3d8179429b1eb28a99dbe6b8ab765ea825a9e28fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HJcHdV6/0qYG/GstRT7VH1iAx3Rf9yz5ceeWzTi8BUDzOrWVhdUZnddnBbwjLyIyCrLWgFGxOZO2wKRGOF7CCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T20:59:32.680752Z","bundle_sha256":"c83ced735316b7dc81145cd3a863339e8a9ca36398bd5acb72aad04653b229a9"}}