{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WWL2ZQE3KAFJJ5JDBR7IXE6R4A","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":"04d68139e52b89e987d807332ff4d2a8e362e8e4373aff5bbf358b2436719f29","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-01-01T21:58:19Z","title_canon_sha256":"c06ea9bec5f22a2098e73c1a9faff1ed47bc804416ff83ee6eb750dbb0aa6fb9"},"schema_version":"1.0","source":{"id":"2501.00967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.00967","created_at":"2026-07-05T09:56:12Z"},{"alias_kind":"arxiv_version","alias_value":"2501.00967v1","created_at":"2026-07-05T09:56:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00967","created_at":"2026-07-05T09:56:12Z"},{"alias_kind":"pith_short_12","alias_value":"WWL2ZQE3KAFJ","created_at":"2026-07-05T09:56:12Z"},{"alias_kind":"pith_short_16","alias_value":"WWL2ZQE3KAFJJ5JD","created_at":"2026-07-05T09:56:12Z"},{"alias_kind":"pith_short_8","alias_value":"WWL2ZQE3","created_at":"2026-07-05T09:56:12Z"}],"graph_snapshots":[{"event_id":"sha256:2c824421cf914dc8696b7d12a51cf25ffa72e7f9b63d713db4fb0a6736f3a7ef","target":"graph","created_at":"2026-07-05T09:56:12Z","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/2501.00967/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bayesian optimization (BO) is an effective paradigm for the optimization of expensive-to-sample systems. Standard BO learns the performance of a system $f(x)$ by using a Gaussian Process (GP) model; this treats the system as a black-box and limits its ability to exploit available structural knowledge (e.g., physics and sparse interconnections in a complex system). Grey-box modeling, wherein the performance function is treated as a composition of known and unknown intermediate functions $f(x, y(x))$ (where $y(x)$ is a GP model) offers a solution to this limitation; however, generating an analyt","authors_text":"Leonardo D. Gonz\\'alez, Victor M. Zavala","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-01-01T21:58:19Z","title":"On the Implementation of a Bayesian Optimization Framework for Interconnected Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00967","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:c8167f3e4903d8defce8b8087cd9777cbee784a6f8be335ae93c963d14697d94","target":"record","created_at":"2026-07-05T09:56:12Z","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":"04d68139e52b89e987d807332ff4d2a8e362e8e4373aff5bbf358b2436719f29","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-01-01T21:58:19Z","title_canon_sha256":"c06ea9bec5f22a2098e73c1a9faff1ed47bc804416ff83ee6eb750dbb0aa6fb9"},"schema_version":"1.0","source":{"id":"2501.00967","kind":"arxiv","version":1}},"canonical_sha256":"b597acc09b500a94f5230c7e8b93d1e021f4e4b94b63b0e379d66719424de28a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b597acc09b500a94f5230c7e8b93d1e021f4e4b94b63b0e379d66719424de28a","first_computed_at":"2026-07-05T09:56:12.571685Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:12.571685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PbRb5hnseZvcO2BbkSDS+19flS+zq0EDMacODpA1iPpK6zl/WA54Uq2ZA79CLYjF51VVHI816pJQAQDfXG3oDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:12.572142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.00967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8167f3e4903d8defce8b8087cd9777cbee784a6f8be335ae93c963d14697d94","sha256:2c824421cf914dc8696b7d12a51cf25ffa72e7f9b63d713db4fb0a6736f3a7ef"],"state_sha256":"49dfd9a56f1b5b3368b20ebb22bf64ddeafff2c5d2edcc48d3a7897d8f59d3d3"}