{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JOEPTM4TVIFTL7OM6K6V45LKR4","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":"449c729290f66b20c008c00a6e9756fdc7dc649d7c42e638dca6e5a3a70f7bfc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-06-20T08:35:51Z","title_canon_sha256":"8a551099fee0adcdffe4f8732cd1f0cf21b928da2e7c2352046d0da6efd279c7"},"schema_version":"1.0","source":{"id":"2606.21948","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21948","created_at":"2026-06-23T02:13:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21948v1","created_at":"2026-06-23T02:13:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21948","created_at":"2026-06-23T02:13:03Z"},{"alias_kind":"pith_short_12","alias_value":"JOEPTM4TVIFT","created_at":"2026-06-23T02:13:03Z"},{"alias_kind":"pith_short_16","alias_value":"JOEPTM4TVIFTL7OM","created_at":"2026-06-23T02:13:03Z"},{"alias_kind":"pith_short_8","alias_value":"JOEPTM4T","created_at":"2026-06-23T02:13:03Z"}],"graph_snapshots":[{"event_id":"sha256:0afb0933ab730e655511844d5e20d4950cbbc5b709ff0cf0decc685ad038c1eb","target":"graph","created_at":"2026-06-23T02:13:03Z","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/2606.21948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accelerated mix design optimization is critical for deploying low-carbon supplementary cementitious materials (SCMs) because traditional experimental approaches require extensive testing campaigns. The authors demonstrate that Bayesian optimization (BO) can identify near-optimal blended cement formulations using an AI-driven approach with minimal experimental data. Starting with only 10 initial experiments and a 2:1 data-to-variable ratio reflecting realistic laboratory constraints, the authors optimized copper slag, limestone, Portland cement systems for 32.5N strength class with respect to 2","authors_text":"Debadri Som, Mathijs Schuurmans, Panagiotis Patrinos, Rayna Maheshwari, Yiannis Pontikes","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-06-20T08:35:51Z","title":"Active learning-based Bayesian optimization in the realm of copper slag-blended cement systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21948","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":"sha256:1c03b0eac26ae2f963199eecc4da496a8e4d02f51bea608d934ff4bc5592e545","target":"record","created_at":"2026-06-23T02:13:03Z","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":"449c729290f66b20c008c00a6e9756fdc7dc649d7c42e638dca6e5a3a70f7bfc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-06-20T08:35:51Z","title_canon_sha256":"8a551099fee0adcdffe4f8732cd1f0cf21b928da2e7c2352046d0da6efd279c7"},"schema_version":"1.0","source":{"id":"2606.21948","kind":"arxiv","version":1}},"canonical_sha256":"4b88f9b393aa0b35fdccf2bd5e756a8f354d5cb3782da5eeb6ec6fe4966c601b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b88f9b393aa0b35fdccf2bd5e756a8f354d5cb3782da5eeb6ec6fe4966c601b","first_computed_at":"2026-06-23T02:13:03.944276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:03.944276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cVKwGHg4fpLzb5eSzGh9u3ZMg412ihcuoMyGqATo5UnABTer0JxQnBvQwW08og2q1hI8rIayIyFIiGvazDdZDg==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:03.944679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21948","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c03b0eac26ae2f963199eecc4da496a8e4d02f51bea608d934ff4bc5592e545","sha256:0afb0933ab730e655511844d5e20d4950cbbc5b709ff0cf0decc685ad038c1eb"],"state_sha256":"3ab08ab299d12579809690425d0e3f453f6f0dfa3eaf4f1268dd6f095effe867"}