{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CKSICDUGEQ2JILFKILNMZMIQIZ","short_pith_number":"pith:CKSICDUG","canonical_record":{"source":{"id":"1709.02317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-09-07T15:37:50Z","cross_cats_sorted":[],"title_canon_sha256":"4b608a5a0b5065f3eadd6a00f6c152e7fd809a066e22036da436de6ea3d7d49e","abstract_canon_sha256":"dc7115961e62616d9af44750eb3752dc353189aa043f5a54decb797058c11ea9"},"schema_version":"1.0"},"canonical_sha256":"12a4810e862434942caa42daccb1104641c7bd03576bbb01f6b9ecb343ac8176","source":{"kind":"arxiv","id":"1709.02317","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02317","created_at":"2026-05-18T00:35:49Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02317v1","created_at":"2026-05-18T00:35:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02317","created_at":"2026-05-18T00:35:49Z"},{"alias_kind":"pith_short_12","alias_value":"CKSICDUGEQ2J","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CKSICDUGEQ2JILFK","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CKSICDUG","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CKSICDUGEQ2JILFKILNMZMIQIZ","target":"record","payload":{"canonical_record":{"source":{"id":"1709.02317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-09-07T15:37:50Z","cross_cats_sorted":[],"title_canon_sha256":"4b608a5a0b5065f3eadd6a00f6c152e7fd809a066e22036da436de6ea3d7d49e","abstract_canon_sha256":"dc7115961e62616d9af44750eb3752dc353189aa043f5a54decb797058c11ea9"},"schema_version":"1.0"},"canonical_sha256":"12a4810e862434942caa42daccb1104641c7bd03576bbb01f6b9ecb343ac8176","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:49.488201Z","signature_b64":"jpfHGzYSlJ3LRMXOOFBYRay5bfpcGIbZaf8m9XJKuVejKkwMQqcAyCrB/KFuunB1zWgkB4TSvmx/4iA/Nz1ZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12a4810e862434942caa42daccb1104641c7bd03576bbb01f6b9ecb343ac8176","last_reissued_at":"2026-05-18T00:35:49.487520Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:49.487520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.02317","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:35:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+7W51f94p1FmRiJSrBIno0wRp1GyB22cD6MGg5g6ekEZtGOr48DU5+5I8SFTrsSS8c0ks+NbpnTfUhJHrUNhAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T07:07:29.920877Z"},"content_sha256":"bd44566987140513273a09f5c86a64bee31db91f59b4c125c6e92eeeb51c5509","schema_version":"1.0","event_id":"sha256:bd44566987140513273a09f5c86a64bee31db91f59b4c125c6e92eeeb51c5509"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CKSICDUGEQ2JILFKILNMZMIQIZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Computing optimal experimental designs with respect to a compound Bayes risk criterion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Maryna Prus, Radoslav Harman","submitted_at":"2017-09-07T15:37:50Z","abstract_excerpt":"We consider the problem of computing optimal experimental design on a finite design space with respect to a compound Bayes risk criterion, which includes the linear criterion for prediction in a random coefficient regression model. We show that the problem can be restated as constrained A-optimality in an artificial model. This permits using recently developed computational tools, for instance the algorithms based on the second-order cone programming for optimal approximate design, and mixed-integer second-order cone programming for optimal exact designs. We demonstrate the use of the proposed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02317","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:35:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eNDR0lnl4rIm5d37IY3Ju4IIkPRJNe3ZV9U9Wy0l4TKrW5v0RDbOIFb17ln0jDsiSX8dYPQxgoGsPXH0ljLjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T07:07:29.921214Z"},"content_sha256":"93b3ee1bfd318672ce092d7cf06d9f40050eb63a3d4f38ef81c2b2423349ffa9","schema_version":"1.0","event_id":"sha256:93b3ee1bfd318672ce092d7cf06d9f40050eb63a3d4f38ef81c2b2423349ffa9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKSICDUGEQ2JILFKILNMZMIQIZ/bundle.json","state_url":"https://pith.science/pith/CKSICDUGEQ2JILFKILNMZMIQIZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKSICDUGEQ2JILFKILNMZMIQIZ/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":"2026-07-03T07:07:29Z","links":{"resolver":"https://pith.science/pith/CKSICDUGEQ2JILFKILNMZMIQIZ","bundle":"https://pith.science/pith/CKSICDUGEQ2JILFKILNMZMIQIZ/bundle.json","state":"https://pith.science/pith/CKSICDUGEQ2JILFKILNMZMIQIZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKSICDUGEQ2JILFKILNMZMIQIZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CKSICDUGEQ2JILFKILNMZMIQIZ","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":"dc7115961e62616d9af44750eb3752dc353189aa043f5a54decb797058c11ea9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-09-07T15:37:50Z","title_canon_sha256":"4b608a5a0b5065f3eadd6a00f6c152e7fd809a066e22036da436de6ea3d7d49e"},"schema_version":"1.0","source":{"id":"1709.02317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02317","created_at":"2026-05-18T00:35:49Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02317v1","created_at":"2026-05-18T00:35:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02317","created_at":"2026-05-18T00:35:49Z"},{"alias_kind":"pith_short_12","alias_value":"CKSICDUGEQ2J","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CKSICDUGEQ2JILFK","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CKSICDUG","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:93b3ee1bfd318672ce092d7cf06d9f40050eb63a3d4f38ef81c2b2423349ffa9","target":"graph","created_at":"2026-05-18T00:35:49Z","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":"We consider the problem of computing optimal experimental design on a finite design space with respect to a compound Bayes risk criterion, which includes the linear criterion for prediction in a random coefficient regression model. We show that the problem can be restated as constrained A-optimality in an artificial model. This permits using recently developed computational tools, for instance the algorithms based on the second-order cone programming for optimal approximate design, and mixed-integer second-order cone programming for optimal exact designs. We demonstrate the use of the proposed","authors_text":"Maryna Prus, Radoslav Harman","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-09-07T15:37:50Z","title":"Computing optimal experimental designs with respect to a compound Bayes risk criterion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02317","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:bd44566987140513273a09f5c86a64bee31db91f59b4c125c6e92eeeb51c5509","target":"record","created_at":"2026-05-18T00:35:49Z","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":"dc7115961e62616d9af44750eb3752dc353189aa043f5a54decb797058c11ea9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-09-07T15:37:50Z","title_canon_sha256":"4b608a5a0b5065f3eadd6a00f6c152e7fd809a066e22036da436de6ea3d7d49e"},"schema_version":"1.0","source":{"id":"1709.02317","kind":"arxiv","version":1}},"canonical_sha256":"12a4810e862434942caa42daccb1104641c7bd03576bbb01f6b9ecb343ac8176","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12a4810e862434942caa42daccb1104641c7bd03576bbb01f6b9ecb343ac8176","first_computed_at":"2026-05-18T00:35:49.487520Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:49.487520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jpfHGzYSlJ3LRMXOOFBYRay5bfpcGIbZaf8m9XJKuVejKkwMQqcAyCrB/KFuunB1zWgkB4TSvmx/4iA/Nz1ZDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:49.488201Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.02317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd44566987140513273a09f5c86a64bee31db91f59b4c125c6e92eeeb51c5509","sha256:93b3ee1bfd318672ce092d7cf06d9f40050eb63a3d4f38ef81c2b2423349ffa9"],"state_sha256":"c594af481d8ccda5ed1030abb560f98d8ee55e7b63f4992308ed7492e9cd3c49"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UH+SLcxxaS3uo55qSsB8BHHgpcJ8nCa34rYsp5gLjI8KO3UprhH46t6QJymlMDPBHtdmFM188Lkw5dhOMEiDBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T07:07:29.923152Z","bundle_sha256":"eae2d8bf01708b10603f39ced2656506303ec6988ab8729b3096f55b06507f92"}}