{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:K5KB7Y7PU4Z6IHZQ6HT2XJCA2B","short_pith_number":"pith:K5KB7Y7P","canonical_record":{"source":{"id":"1803.07018","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-19T16:22:22Z","cross_cats_sorted":[],"title_canon_sha256":"ed7980cc4cfeabcf5e51a4056bb50b74c3afdf1631d3502afac7f894b6bef0cc","abstract_canon_sha256":"4604cc2c1e356cb14517a132bf57255b3e6a1191e6004dfc4654b32987d2888c"},"schema_version":"1.0"},"canonical_sha256":"57541fe3efa733e41f30f1e7aba440d05fac4b8302054553ab53e2f913cda2f9","source":{"kind":"arxiv","id":"1803.07018","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.07018","created_at":"2026-05-17T23:56:25Z"},{"alias_kind":"arxiv_version","alias_value":"1803.07018v3","created_at":"2026-05-17T23:56:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.07018","created_at":"2026-05-17T23:56:25Z"},{"alias_kind":"pith_short_12","alias_value":"K5KB7Y7PU4Z6","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"K5KB7Y7PU4Z6IHZQ","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"K5KB7Y7P","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:K5KB7Y7PU4Z6IHZQ6HT2XJCA2B","target":"record","payload":{"canonical_record":{"source":{"id":"1803.07018","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-19T16:22:22Z","cross_cats_sorted":[],"title_canon_sha256":"ed7980cc4cfeabcf5e51a4056bb50b74c3afdf1631d3502afac7f894b6bef0cc","abstract_canon_sha256":"4604cc2c1e356cb14517a132bf57255b3e6a1191e6004dfc4654b32987d2888c"},"schema_version":"1.0"},"canonical_sha256":"57541fe3efa733e41f30f1e7aba440d05fac4b8302054553ab53e2f913cda2f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:25.152524Z","signature_b64":"xsxON9mTMNJOqu0rV1ftU2DJzJwsgjW8LZ7MS7v6hLs8/rNmcow0xVjxbC0HfAiCkjQyjvj0PROIDYAHWZj+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"57541fe3efa733e41f30f1e7aba440d05fac4b8302054553ab53e2f913cda2f9","last_reissued_at":"2026-05-17T23:56:25.152083Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:25.152083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.07018","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":"2026-05-17T23:56:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9LDXNbWjn/tThlRSutZ6W08vvNL95miqtvfkDhzoFnm5hGERcJqJ+j7QkeHiypCTaGu3YILiEb4vK8f+9s8wDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T06:23:25.771908Z"},"content_sha256":"caa003c0513e2d5bfb0f3e9de2b4d9ab7775edbe6fe497cd6a3d00627ee8d2b9","schema_version":"1.0","event_id":"sha256:caa003c0513e2d5bfb0f3e9de2b4d9ab7775edbe6fe497cd6a3d00627ee8d2b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:K5KB7Y7PU4Z6IHZQ6HT2XJCA2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Antony M. Overstall, James M. McGree","submitted_at":"2018-03-19T16:22:22Z","abstract_excerpt":"A Bayesian design is given by maximising an expected utility over a design space. The utility is chosen to represent the aim of the experiment and its expectation is taken with respect to all unknowns: responses, parameters and/or models. Although straightforward in principle, there are several challenges to finding Bayesian designs in practice. Firstly, the utility and expected utility are rarely available in closed form and require approximation. Secondly, the design space can be of high-dimensionality. In the case of intractable likelihood models, these problems are compounded by the fact t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.07018","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":"2026-05-17T23:56:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h7a0SGSZHxGxi22vvsOSa7i6Y+AhoUjnIq2JORufesNN0WbCv8Km9IZXyRuQuJxfIEwbIcJZnmkz4pHTmpB3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T06:23:25.772518Z"},"content_sha256":"9465dce9395174f0ac17459cd367fcdeb6e400842e23f469716a78030a6e8002","schema_version":"1.0","event_id":"sha256:9465dce9395174f0ac17459cd367fcdeb6e400842e23f469716a78030a6e8002"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B/bundle.json","state_url":"https://pith.science/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B/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":"2026-07-01T06:23:25Z","links":{"resolver":"https://pith.science/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B","bundle":"https://pith.science/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B/bundle.json","state":"https://pith.science/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K5KB7Y7PU4Z6IHZQ6HT2XJCA2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:K5KB7Y7PU4Z6IHZQ6HT2XJCA2B","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":"4604cc2c1e356cb14517a132bf57255b3e6a1191e6004dfc4654b32987d2888c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-19T16:22:22Z","title_canon_sha256":"ed7980cc4cfeabcf5e51a4056bb50b74c3afdf1631d3502afac7f894b6bef0cc"},"schema_version":"1.0","source":{"id":"1803.07018","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.07018","created_at":"2026-05-17T23:56:25Z"},{"alias_kind":"arxiv_version","alias_value":"1803.07018v3","created_at":"2026-05-17T23:56:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.07018","created_at":"2026-05-17T23:56:25Z"},{"alias_kind":"pith_short_12","alias_value":"K5KB7Y7PU4Z6","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"K5KB7Y7PU4Z6IHZQ","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"K5KB7Y7P","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:9465dce9395174f0ac17459cd367fcdeb6e400842e23f469716a78030a6e8002","target":"graph","created_at":"2026-05-17T23:56:25Z","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":"A Bayesian design is given by maximising an expected utility over a design space. The utility is chosen to represent the aim of the experiment and its expectation is taken with respect to all unknowns: responses, parameters and/or models. Although straightforward in principle, there are several challenges to finding Bayesian designs in practice. Firstly, the utility and expected utility are rarely available in closed form and require approximation. Secondly, the design space can be of high-dimensionality. In the case of intractable likelihood models, these problems are compounded by the fact t","authors_text":"Antony M. Overstall, James M. McGree","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-19T16:22:22Z","title":"Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.07018","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:caa003c0513e2d5bfb0f3e9de2b4d9ab7775edbe6fe497cd6a3d00627ee8d2b9","target":"record","created_at":"2026-05-17T23:56:25Z","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":"4604cc2c1e356cb14517a132bf57255b3e6a1191e6004dfc4654b32987d2888c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-19T16:22:22Z","title_canon_sha256":"ed7980cc4cfeabcf5e51a4056bb50b74c3afdf1631d3502afac7f894b6bef0cc"},"schema_version":"1.0","source":{"id":"1803.07018","kind":"arxiv","version":3}},"canonical_sha256":"57541fe3efa733e41f30f1e7aba440d05fac4b8302054553ab53e2f913cda2f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57541fe3efa733e41f30f1e7aba440d05fac4b8302054553ab53e2f913cda2f9","first_computed_at":"2026-05-17T23:56:25.152083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:25.152083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xsxON9mTMNJOqu0rV1ftU2DJzJwsgjW8LZ7MS7v6hLs8/rNmcow0xVjxbC0HfAiCkjQyjvj0PROIDYAHWZj+Cg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:25.152524Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.07018","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:caa003c0513e2d5bfb0f3e9de2b4d9ab7775edbe6fe497cd6a3d00627ee8d2b9","sha256:9465dce9395174f0ac17459cd367fcdeb6e400842e23f469716a78030a6e8002"],"state_sha256":"e2c2439130e249c5b29fbaccf97aad96acffb665a29fa3786c353298cf5b9c1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MrPjTbm2xUJDhfurW94Jaim6koNDfnACqyCfIemWMjZEknkUuEnfJEe4cruScfWD3BBXV/6vUQqYnkYj6gkgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T06:23:25.775594Z","bundle_sha256":"ea71b863c08a0bb1907f4daccf9cd997c1b74a9cfe09a519f5544097474d6d92"}}