{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:R4EKAPE55QRSW4O7XXFX5PZHPQ","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":"e8b003254b66ad2b992b481350bc0d41abe19d98895d7a3d832d321316e6c6c3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T16:38:40Z","title_canon_sha256":"a71fbc8074e1179895c960ebe1a61492e0afb761e76d3040235aac54ab63198c"},"schema_version":"1.0","source":{"id":"2505.24775","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24775","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24775v1","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24775","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"pith_short_12","alias_value":"R4EKAPE55QRS","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"pith_short_16","alias_value":"R4EKAPE55QRSW4O7","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"pith_short_8","alias_value":"R4EKAPE5","created_at":"2026-07-05T11:12:56Z"}],"graph_snapshots":[{"event_id":"sha256:550e65beab3204aacc8563b6b38bf22af96816aba9e7ab46e7d4b0f3b84d00f6","target":"graph","created_at":"2026-07-05T11:12:56Z","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/2505.24775/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The present study aimed to solve the cure optimization problem of laminated composites through a statistical approach. The approach consisted of using constrained Bayesian Optimization (cBO) along with a Gaussian process model as a surrogate to rapidly solve the cure optimization problem. The approach was implemented to two case studies including the cure of a simpler flat rectangular laminate and a more complex L-shaped laminate. The cure optimization problem with the objective to minimize cure induced distortion was defined for both case studies. The former case study was two-variable that i","authors_text":"Gang Li, Madhura Limaye, Qiong Zhang, Yezhuo Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T16:38:40Z","title":"Numerical Simulation Informed Rapid Cure Process Optimization of Composite Structures using Constrained Bayesian Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24775","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:df7711c02ebd73a60107fb917af525c1aadc4e95aae57753460d230f8e9ab23d","target":"record","created_at":"2026-07-05T11:12:56Z","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":"e8b003254b66ad2b992b481350bc0d41abe19d98895d7a3d832d321316e6c6c3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T16:38:40Z","title_canon_sha256":"a71fbc8074e1179895c960ebe1a61492e0afb761e76d3040235aac54ab63198c"},"schema_version":"1.0","source":{"id":"2505.24775","kind":"arxiv","version":1}},"canonical_sha256":"8f08a03c9dec232b71dfbdcb7ebf277c024a5c6c3e363e79c86a31375472c2d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f08a03c9dec232b71dfbdcb7ebf277c024a5c6c3e363e79c86a31375472c2d6","first_computed_at":"2026-07-05T11:12:56.435111Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:56.435111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"78yFB69cYrAYRZBVqD1tbNBXkJfqI429NU4xs0L/UhGKEr4I5crJEGN0ssHPR3Qs9Icg50sodVMBFJC4OUa6Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:56.435698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24775","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df7711c02ebd73a60107fb917af525c1aadc4e95aae57753460d230f8e9ab23d","sha256:550e65beab3204aacc8563b6b38bf22af96816aba9e7ab46e7d4b0f3b84d00f6"],"state_sha256":"a8d1a99309cdc505d9e5f693994b7c9bfafd8bb935b7910a605071675f66440b"}