{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:TYVWVF3I6C6QLXGWWAUHLMPJCX","short_pith_number":"pith:TYVWVF3I","schema_version":"1.0","canonical_sha256":"9e2b6a9768f0bd05dcd6b02875b1e915eb5e951e27e65995b26cd30f793f5ba3","source":{"kind":"arxiv","id":"1412.1344","version":1},"attestation_state":"computed","paper":{"title":"Estimation of Space Deformation Model for Non-stationary Random Functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Francky Fouedjio, Nicolas Desassis, Thomas Romary","submitted_at":"2014-12-03T14:42:13Z","abstract_excerpt":"Stationary Random Functions have been successfully applied in geostatistical applications for decades. In some instances, the assumption of a homogeneous spatial dependence structure across the entire domain of interest is unrealistic. A practical approach for modelling and estimating non-stationary spatial dependence structure is considered. This consists in transforming a non-stationary Random Function into a stationary and isotropic one via a bijective continuous deformation of the index space. So far, this approach has been successfully applied in the context of data from several independe"},"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":"1412.1344","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-12-03T14:42:13Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"401e492de5c5ed183d7c20bf869c0bfc4659f0508304c2ea12fe4b3d5bf2c37f","abstract_canon_sha256":"5a68de56ad43e724adda5890150e138a3bfbb536c46698b821141f40745271ff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:12.737857Z","signature_b64":"g5og8c1DxYAAHnIXyca9ZG0lkDumykBA4azAR5RE2i+EJHsFQ3LeB5WXwMKD1nohXcxabtFvEsTo7l57kSWnBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e2b6a9768f0bd05dcd6b02875b1e915eb5e951e27e65995b26cd30f793f5ba3","last_reissued_at":"2026-05-18T02:32:12.737283Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:12.737283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estimation of Space Deformation Model for Non-stationary Random Functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Francky Fouedjio, Nicolas Desassis, Thomas Romary","submitted_at":"2014-12-03T14:42:13Z","abstract_excerpt":"Stationary Random Functions have been successfully applied in geostatistical applications for decades. In some instances, the assumption of a homogeneous spatial dependence structure across the entire domain of interest is unrealistic. A practical approach for modelling and estimating non-stationary spatial dependence structure is considered. This consists in transforming a non-stationary Random Function into a stationary and isotropic one via a bijective continuous deformation of the index space. So far, this approach has been successfully applied in the context of data from several independe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.1344","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":"1412.1344","created_at":"2026-05-18T02:32:12.737405+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.1344v1","created_at":"2026-05-18T02:32:12.737405+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.1344","created_at":"2026-05-18T02:32:12.737405+00:00"},{"alias_kind":"pith_short_12","alias_value":"TYVWVF3I6C6Q","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_16","alias_value":"TYVWVF3I6C6QLXGW","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_8","alias_value":"TYVWVF3I","created_at":"2026-05-18T12:28:52.271510+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/TYVWVF3I6C6QLXGWWAUHLMPJCX","json":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX.json","graph_json":"https://pith.science/api/pith-number/TYVWVF3I6C6QLXGWWAUHLMPJCX/graph.json","events_json":"https://pith.science/api/pith-number/TYVWVF3I6C6QLXGWWAUHLMPJCX/events.json","paper":"https://pith.science/paper/TYVWVF3I"},"agent_actions":{"view_html":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX","download_json":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX.json","view_paper":"https://pith.science/paper/TYVWVF3I","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.1344&json=true","fetch_graph":"https://pith.science/api/pith-number/TYVWVF3I6C6QLXGWWAUHLMPJCX/graph.json","fetch_events":"https://pith.science/api/pith-number/TYVWVF3I6C6QLXGWWAUHLMPJCX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX/action/storage_attestation","attest_author":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX/action/author_attestation","sign_citation":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX/action/citation_signature","submit_replication":"https://pith.science/pith/TYVWVF3I6C6QLXGWWAUHLMPJCX/action/replication_record"}},"created_at":"2026-05-18T02:32:12.737405+00:00","updated_at":"2026-05-18T02:32:12.737405+00:00"}