{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:W3U7KCOQ6UPJGWIM4MN6CEJH2P","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":"84883d707883b834b9cac0d050b0e99007fa52cea5e010f5aeb0861799993d19","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2020-05-01T14:08:31Z","title_canon_sha256":"b79d040a5a58ed257e595c3954f8dd5542fee871ce64ebc3c09643061351dece"},"schema_version":"1.0","source":{"id":"2005.00386","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.00386","created_at":"2026-07-05T02:59:02Z"},{"alias_kind":"arxiv_version","alias_value":"2005.00386v4","created_at":"2026-07-05T02:59:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00386","created_at":"2026-07-05T02:59:02Z"},{"alias_kind":"pith_short_12","alias_value":"W3U7KCOQ6UPJ","created_at":"2026-07-05T02:59:02Z"},{"alias_kind":"pith_short_16","alias_value":"W3U7KCOQ6UPJGWIM","created_at":"2026-07-05T02:59:02Z"},{"alias_kind":"pith_short_8","alias_value":"W3U7KCOQ","created_at":"2026-07-05T02:59:02Z"}],"graph_snapshots":[{"event_id":"sha256:089a895a59e01b97cdcdca12aad1e03373471bb006ba77041b33f359f4d603ed","target":"graph","created_at":"2026-07-05T02:59:02Z","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/2005.00386/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many scientific phenomena are studied using computer experiments consisting of multiple runs of a computer model while varying the input settings. Gaussian processes (GPs) are a popular tool for the analysis of computer experiments, enabling interpolation between input settings, but direct GP inference is computationally infeasible for large datasets. We adapt and extend a powerful class of GP methods from spatial statistics to enable the scalable analysis and emulation of large computer experiments. Specifically, we apply Vecchia's ordered conditional approximation in a transformed input spac","authors_text":"Earl Lawrence, Joseph Guinness, Matthias Katzfuss","cross_cats":["stat.CO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2020-05-01T14:08:31Z","title":"Scaled Vecchia approximation for fast computer-model emulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00386","kind":"arxiv","version":4},"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":"sha256:6b7c20a986e44394aef0280633b3b8c7a51b83f3335b792f695ae3e26927be27","target":"record","created_at":"2026-07-05T02:59:02Z","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":"84883d707883b834b9cac0d050b0e99007fa52cea5e010f5aeb0861799993d19","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2020-05-01T14:08:31Z","title_canon_sha256":"b79d040a5a58ed257e595c3954f8dd5542fee871ce64ebc3c09643061351dece"},"schema_version":"1.0","source":{"id":"2005.00386","kind":"arxiv","version":4}},"canonical_sha256":"b6e9f509d0f51e93590ce31be11127d3d983d35e3546a1a3a6da25ec9a59d8a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6e9f509d0f51e93590ce31be11127d3d983d35e3546a1a3a6da25ec9a59d8a8","first_computed_at":"2026-07-05T02:59:02.132880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:59:02.132880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ftAsoK3GM22kbUWmKdINITF38nv8EaiYsQtBxecl7Jbi2tvHM/J0D7XYQ0PBtqhqb4533n6IAksEUuH74ZbaCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:59:02.133265Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.00386","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b7c20a986e44394aef0280633b3b8c7a51b83f3335b792f695ae3e26927be27","sha256:089a895a59e01b97cdcdca12aad1e03373471bb006ba77041b33f359f4d603ed"],"state_sha256":"26d7928fadc800cc38f5e3cda9a28c81f0f91f61623b1010b41d27f7d355cf11"}