{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:3HZIW76MNUPB24XT445KJ5EI2X","short_pith_number":"pith:3HZIW76M","schema_version":"1.0","canonical_sha256":"d9f28b7fcc6d1e1d72f3e73aa4f488d5c1ae09ba60e23e6c7657188d94eab314","source":{"kind":"arxiv","id":"1212.6048","version":1},"attestation_state":"computed","paper":{"title":"Discrete Surface Modeling Based on Google Earth: A Case Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.geo-ph"],"primary_cat":"cs.GR","authors_text":"Gang Mei, John C.Tipper, Nengxiong Xu","submitted_at":"2012-12-25T13:23:32Z","abstract_excerpt":"Google Earth (GE) has become a powerful tool for geological, geophysical and geographical modeling; yet GE can be accepted to acquire elevation data of terrain. In this paper, we present a real study case of building the discrete surface model (DSM) at Haut-Barr Castle in France based on the elevation data of terrain points extracted from GE using the COM API. We first locate the position of Haut-Barr Castle and determine the region of the study area, then extract elevation data of terrain at Haut-Barr, and thirdly create a planar triangular mesh that covers the study area and finally generate"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1212.6048","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2012-12-25T13:23:32Z","cross_cats_sorted":["physics.geo-ph"],"title_canon_sha256":"da1899f58483ae0685ba3ca330b8ffe4c89448e3dd8fab93b6c57e331965d85f","abstract_canon_sha256":"8e9785ed5cb57f454984bcebe646a7f0cf757e38d3f4cf827d9e94f98049e018"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:14:39.247723Z","signature_b64":"z/PpnqdFN77gzpiX6RldGa+M/HN/6kPmiChjvvzIfVXRziKUMFNhaEnQK1PKhBgAr9u8vvDzyc1lNGKZYUfhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9f28b7fcc6d1e1d72f3e73aa4f488d5c1ae09ba60e23e6c7657188d94eab314","last_reissued_at":"2026-05-18T03:14:39.246961Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:14:39.246961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Discrete Surface Modeling Based on Google Earth: A Case Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.geo-ph"],"primary_cat":"cs.GR","authors_text":"Gang Mei, John C.Tipper, Nengxiong Xu","submitted_at":"2012-12-25T13:23:32Z","abstract_excerpt":"Google Earth (GE) has become a powerful tool for geological, geophysical and geographical modeling; yet GE can be accepted to acquire elevation data of terrain. In this paper, we present a real study case of building the discrete surface model (DSM) at Haut-Barr Castle in France based on the elevation data of terrain points extracted from GE using the COM API. We first locate the position of Haut-Barr Castle and determine the region of the study area, then extract elevation data of terrain at Haut-Barr, and thirdly create a planar triangular mesh that covers the study area and finally generate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1212.6048","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1212.6048","created_at":"2026-05-18T03:14:39.247063+00:00"},{"alias_kind":"arxiv_version","alias_value":"1212.6048v1","created_at":"2026-05-18T03:14:39.247063+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1212.6048","created_at":"2026-05-18T03:14:39.247063+00:00"},{"alias_kind":"pith_short_12","alias_value":"3HZIW76MNUPB","created_at":"2026-05-18T12:26:50.516681+00:00"},{"alias_kind":"pith_short_16","alias_value":"3HZIW76MNUPB24XT","created_at":"2026-05-18T12:26:50.516681+00:00"},{"alias_kind":"pith_short_8","alias_value":"3HZIW76M","created_at":"2026-05-18T12:26:50.516681+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X","json":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X.json","graph_json":"https://pith.science/api/pith-number/3HZIW76MNUPB24XT445KJ5EI2X/graph.json","events_json":"https://pith.science/api/pith-number/3HZIW76MNUPB24XT445KJ5EI2X/events.json","paper":"https://pith.science/paper/3HZIW76M"},"agent_actions":{"view_html":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X","download_json":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X.json","view_paper":"https://pith.science/paper/3HZIW76M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1212.6048&json=true","fetch_graph":"https://pith.science/api/pith-number/3HZIW76MNUPB24XT445KJ5EI2X/graph.json","fetch_events":"https://pith.science/api/pith-number/3HZIW76MNUPB24XT445KJ5EI2X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X/action/storage_attestation","attest_author":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X/action/author_attestation","sign_citation":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X/action/citation_signature","submit_replication":"https://pith.science/pith/3HZIW76MNUPB24XT445KJ5EI2X/action/replication_record"}},"created_at":"2026-05-18T03:14:39.247063+00:00","updated_at":"2026-05-18T03:14:39.247063+00:00"}