{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CVIY3DMQGX7WVMGCAQ4POAJHH3","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":"cab051b4d1f87fb397e772b2736fd14288679f16a640077f3d5a0aa91c00bc81","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-07-25T21:15:57Z","title_canon_sha256":"6d5bf83152b268465f721c82df045eeff60d401bae9edb4485fa867b4955e21b"},"schema_version":"1.0","source":{"id":"1907.11313","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.11313","created_at":"2026-05-17T23:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"1907.11313v1","created_at":"2026-05-17T23:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.11313","created_at":"2026-05-17T23:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"CVIY3DMQGX7W","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"CVIY3DMQGX7WVMGC","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"CVIY3DMQ","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:464b5319ea245262e2d9f4aa7923668790a98380da4123a2231598f4a63e0489","target":"graph","created_at":"2026-05-17T23:39:29Z","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":"Numerous engineering problems of interest to the industry are often characterized by expensive black-box objective experiments or computer simulations. Obtaining insight into the problem or performing subsequent optimizations requires hundreds of thousands of evaluations of the objective function which is most often a practically unachievable task. Gaussian Process (GP) surrogate modeling replaces the expensive function with a cheap-to-evaluate data-driven probabilistic model. While the GP does not assume a functional form of the problem, it is defined by a set of parameters, called hyperparam","authors_text":"Jesper Kristensen, Liping Wang, Piyush Pandita","cross_cats":["cs.LG","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-07-25T21:15:57Z","title":"Towards Scalable Gaussian Process Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.11313","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":"sha256:25f59f25cadf604429ed7ff5b548d1e8acb13f7c80f76c2558e3f087b7acba5d","target":"record","created_at":"2026-05-17T23:39:29Z","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":"cab051b4d1f87fb397e772b2736fd14288679f16a640077f3d5a0aa91c00bc81","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-07-25T21:15:57Z","title_canon_sha256":"6d5bf83152b268465f721c82df045eeff60d401bae9edb4485fa867b4955e21b"},"schema_version":"1.0","source":{"id":"1907.11313","kind":"arxiv","version":1}},"canonical_sha256":"15518d8d9035ff6ab0c20438f701273ef86f66fdbf0aecc7839cad687af44783","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15518d8d9035ff6ab0c20438f701273ef86f66fdbf0aecc7839cad687af44783","first_computed_at":"2026-05-17T23:39:29.494250Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:29.494250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j7gDvHknUn1TNrThO7fVzESuBmBQkkB+D9Ul/Z43Lj+LvWXZXpeWAOqT9jF7VLNX/BHcQEXDNbmXIVkEt/IfCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:29.494928Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.11313","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25f59f25cadf604429ed7ff5b548d1e8acb13f7c80f76c2558e3f087b7acba5d","sha256:464b5319ea245262e2d9f4aa7923668790a98380da4123a2231598f4a63e0489"],"state_sha256":"b4cdd121b311a0ff727d4bd8205b99debaa20bb5f74408f67fd41ad39e66c394"}