{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7XGNQDN5HQ2L22IJBFD36YWTFO","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":"6896e210578ffcac36f2d9317b28c995e36106c4cb49107286e54cafae6072b6","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.GR","submitted_at":"2018-07-02T14:14:57Z","title_canon_sha256":"847b87a52e013ea370da0ff48f507dd26ed6fd9b318ea53c34fc63151d169905"},"schema_version":"1.0","source":{"id":"1807.00687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00687","created_at":"2026-05-18T00:11:51Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00687v1","created_at":"2026-05-18T00:11:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00687","created_at":"2026-05-18T00:11:51Z"},{"alias_kind":"pith_short_12","alias_value":"7XGNQDN5HQ2L","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7XGNQDN5HQ2L22IJ","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7XGNQDN5","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:a7fe033c5640fa63c586e9eac60f383cc87d862e2c5004c20fa091252451b976","target":"graph","created_at":"2026-05-18T00:11:51Z","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"},"paper":{"abstract_excerpt":"Our ability to understand data has always lagged behind our ability to collect it. This is particularly true in urban environments, where mass data capture is particularly valuable, but the objects captured are more varied, denser, and complex. To understand the structure and content of the environment, we must process the unstructured data to a structured form. BigSUR is an urban reconstruction algorithm which fuses GIS data, photogrammetric meshes, and street level photography, to create clean representative, semantically labelled, geometry. However, we have identified three problems with th","authors_text":"Niloy J. Mitra, Tom Kelly","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.GR","submitted_at":"2018-07-02T14:14:57Z","title":"Simplifying Urban Data Fusion with BigSUR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00687","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":"sha256:65571761bf2a23cfd4375112c6b8c8a0ac83e738aabbf1e8ae8367cc36436070","target":"record","created_at":"2026-05-18T00:11:51Z","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":"6896e210578ffcac36f2d9317b28c995e36106c4cb49107286e54cafae6072b6","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.GR","submitted_at":"2018-07-02T14:14:57Z","title_canon_sha256":"847b87a52e013ea370da0ff48f507dd26ed6fd9b318ea53c34fc63151d169905"},"schema_version":"1.0","source":{"id":"1807.00687","kind":"arxiv","version":1}},"canonical_sha256":"fdccd80dbd3c34bd69090947bf62d32b8e081b13871c92b20dc7ed634c54aa97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdccd80dbd3c34bd69090947bf62d32b8e081b13871c92b20dc7ed634c54aa97","first_computed_at":"2026-05-18T00:11:51.791217Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:51.791217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Vd5Dak+qEh9uUGr4GGhHKXqx2zunFGOb6AynBQ51i9LLiqX9M1GN/3VDNk8MB5KMyZuMBX9g4chf/019X3IAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:51.791854Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.00687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:65571761bf2a23cfd4375112c6b8c8a0ac83e738aabbf1e8ae8367cc36436070","sha256:a7fe033c5640fa63c586e9eac60f383cc87d862e2c5004c20fa091252451b976"],"state_sha256":"89ee3a73b786061ab2d9507b66c51a5bf391bb39289d9d51f3364992384d7633"}