{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:SHYGGT7AGNIRVFSX2JXDZFB3UP","short_pith_number":"pith:SHYGGT7A","canonical_record":{"source":{"id":"1108.4146","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-08-20T22:49:15Z","cross_cats_sorted":["stat.CO","stat.ME"],"title_canon_sha256":"49f3f01ca7ced0cc63510132fdb5e2ca2dac38dc3b89a971176a2cd537f89046","abstract_canon_sha256":"38015962ffc5da4cd4f2b8b8d78a2018134a5418a1296045e7b0625791edbf9f"},"schema_version":"1.0"},"canonical_sha256":"91f0634fe033511a9657d26e3c943ba3cf6ce718c06a34c2f72b54329d5dbb66","source":{"kind":"arxiv","id":"1108.4146","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1108.4146","created_at":"2026-05-18T03:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"1108.4146v3","created_at":"2026-05-18T03:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1108.4146","created_at":"2026-05-18T03:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"SHYGGT7AGNIR","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"SHYGGT7AGNIRVFSX","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"SHYGGT7A","created_at":"2026-05-18T12:26:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:SHYGGT7AGNIRVFSX2JXDZFB3UP","target":"record","payload":{"canonical_record":{"source":{"id":"1108.4146","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-08-20T22:49:15Z","cross_cats_sorted":["stat.CO","stat.ME"],"title_canon_sha256":"49f3f01ca7ced0cc63510132fdb5e2ca2dac38dc3b89a971176a2cd537f89046","abstract_canon_sha256":"38015962ffc5da4cd4f2b8b8d78a2018134a5418a1296045e7b0625791edbf9f"},"schema_version":"1.0"},"canonical_sha256":"91f0634fe033511a9657d26e3c943ba3cf6ce718c06a34c2f72b54329d5dbb66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:39:29.278281Z","signature_b64":"Bjz+sQ3b+6LKAWVnGHqH2WfPIR3+jhcG3vEZxG4PeOmrl+8G9CZ7+szwm4PBOIflsa3Fv6yeCAfRgVHGigu3Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91f0634fe033511a9657d26e3c943ba3cf6ce718c06a34c2f72b54329d5dbb66","last_reissued_at":"2026-05-18T03:39:29.277546Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:39:29.277546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1108.4146","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"40z3ZTQeRQJzGqDkSIGj/rh0bpueNIOlUEoXyJ5pE8i+XTbcec05hjIEXcy+ak1N/u4hYjljsUesKjm70oZYDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T12:33:55.815222Z"},"content_sha256":"d4ad8349a1a99a180edf28651b9d4b9e8a2b8b2f17965b82bee6e7be77cef873","schema_version":"1.0","event_id":"sha256:d4ad8349a1a99a180edf28651b9d4b9e8a2b8b2f17965b82bee6e7be77cef873"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:SHYGGT7AGNIRVFSX2JXDZFB3UP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simulation-based optimal Bayesian experimental design for nonlinear systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.CO","stat.ME"],"primary_cat":"stat.ML","authors_text":"Xun Huan, Youssef M. Marzouk","submitted_at":"2011-08-20T22:49:15Z","abstract_excerpt":"The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction, particularly in situations where experiments are time-consuming and expensive to conduct. We propose a general mathematical framework and an algorithmic approach for optimal experimental design with nonlinear simulation-based models; in particular, we focus on finding sets of experiments that provide the most information about targeted sets of parameters.\n  Our framework employs a Bayesian statistical setting, which provides a foundation for inference from noisy, indirect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1108.4146","kind":"arxiv","version":3},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aFa/P7iGGDu/nQIfRtI2jerrPAjOStxigRMwHOx6IxNmaJIb3FmVP+4mrLbcQSLIggVHEGDzU9/jHRn8xl18AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T12:33:55.815599Z"},"content_sha256":"c39d4aa98974978bb8c79029e34ae27839ff833d11ab746427f68d6981502579","schema_version":"1.0","event_id":"sha256:c39d4aa98974978bb8c79029e34ae27839ff833d11ab746427f68d6981502579"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP/bundle.json","state_url":"https://pith.science/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-21T12:33:55Z","links":{"resolver":"https://pith.science/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP","bundle":"https://pith.science/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP/bundle.json","state":"https://pith.science/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SHYGGT7AGNIRVFSX2JXDZFB3UP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:SHYGGT7AGNIRVFSX2JXDZFB3UP","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":"38015962ffc5da4cd4f2b8b8d78a2018134a5418a1296045e7b0625791edbf9f","cross_cats_sorted":["stat.CO","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-08-20T22:49:15Z","title_canon_sha256":"49f3f01ca7ced0cc63510132fdb5e2ca2dac38dc3b89a971176a2cd537f89046"},"schema_version":"1.0","source":{"id":"1108.4146","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1108.4146","created_at":"2026-05-18T03:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"1108.4146v3","created_at":"2026-05-18T03:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1108.4146","created_at":"2026-05-18T03:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"SHYGGT7AGNIR","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"SHYGGT7AGNIRVFSX","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"SHYGGT7A","created_at":"2026-05-18T12:26:41Z"}],"graph_snapshots":[{"event_id":"sha256:c39d4aa98974978bb8c79029e34ae27839ff833d11ab746427f68d6981502579","target":"graph","created_at":"2026-05-18T03:39:29Z","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":"The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction, particularly in situations where experiments are time-consuming and expensive to conduct. We propose a general mathematical framework and an algorithmic approach for optimal experimental design with nonlinear simulation-based models; in particular, we focus on finding sets of experiments that provide the most information about targeted sets of parameters.\n  Our framework employs a Bayesian statistical setting, which provides a foundation for inference from noisy, indirect","authors_text":"Xun Huan, Youssef M. Marzouk","cross_cats":["stat.CO","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-08-20T22:49:15Z","title":"Simulation-based optimal Bayesian experimental design for nonlinear systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1108.4146","kind":"arxiv","version":3},"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:d4ad8349a1a99a180edf28651b9d4b9e8a2b8b2f17965b82bee6e7be77cef873","target":"record","created_at":"2026-05-18T03:39:29Z","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":"38015962ffc5da4cd4f2b8b8d78a2018134a5418a1296045e7b0625791edbf9f","cross_cats_sorted":["stat.CO","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-08-20T22:49:15Z","title_canon_sha256":"49f3f01ca7ced0cc63510132fdb5e2ca2dac38dc3b89a971176a2cd537f89046"},"schema_version":"1.0","source":{"id":"1108.4146","kind":"arxiv","version":3}},"canonical_sha256":"91f0634fe033511a9657d26e3c943ba3cf6ce718c06a34c2f72b54329d5dbb66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91f0634fe033511a9657d26e3c943ba3cf6ce718c06a34c2f72b54329d5dbb66","first_computed_at":"2026-05-18T03:39:29.277546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:39:29.277546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bjz+sQ3b+6LKAWVnGHqH2WfPIR3+jhcG3vEZxG4PeOmrl+8G9CZ7+szwm4PBOIflsa3Fv6yeCAfRgVHGigu3Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:39:29.278281Z","signed_message":"canonical_sha256_bytes"},"source_id":"1108.4146","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4ad8349a1a99a180edf28651b9d4b9e8a2b8b2f17965b82bee6e7be77cef873","sha256:c39d4aa98974978bb8c79029e34ae27839ff833d11ab746427f68d6981502579"],"state_sha256":"b23c433eeed99c116fadbf7102e3b8b33fe2a52a4b2ed46a88ff559eed787cb2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2AkXfqOpIpJ8huUTsYRJouDSjxV6IN9UbMhdGYjkezxqT0C9FtQ2D9/ghKmbazY84rNVStkV+rNKpKpEgPheAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T12:33:55.817864Z","bundle_sha256":"42fe63f0bbf24c64b9199c01267aec02b548ad75d72fb50e964fd3da9454aa7e"}}