{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W33K3ZZ4E6XW2Z4F5IKGQJT32A","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":"5864c25dd64bfc0810a67a9eb79239450c2241df72239b537c30e2de526139e7","cross_cats_sorted":["cond-mat.mtrl-sci","cs.LG","cs.NA","math.NA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2024-12-06T15:46:37Z","title_canon_sha256":"c6926c07d0ed9d2cab69e54cba1c67855d0c022747f9cc5c43c507b39d0d6e17"},"schema_version":"1.0","source":{"id":"2412.10405","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10405","created_at":"2026-07-05T09:49:15Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10405v1","created_at":"2026-07-05T09:49:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10405","created_at":"2026-07-05T09:49:15Z"},{"alias_kind":"pith_short_12","alias_value":"W33K3ZZ4E6XW","created_at":"2026-07-05T09:49:15Z"},{"alias_kind":"pith_short_16","alias_value":"W33K3ZZ4E6XW2Z4F","created_at":"2026-07-05T09:49:15Z"},{"alias_kind":"pith_short_8","alias_value":"W33K3ZZ4","created_at":"2026-07-05T09:49:15Z"}],"graph_snapshots":[{"event_id":"sha256:0114099dc06d92e43fe90455ffc2ddecf65a41755167fb3473ed4ccc3666dd39","target":"graph","created_at":"2026-07-05T09:49:15Z","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/2412.10405/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crystal plasticity (CP) modeling is a vital tool for predicting the mechanical behavior of materials, but its calibration involves numerous (>8) constitutive parameters, often requiring time-consuming trial-and-error methods. This paper proposes a robust calibration approach using Bayesian optimization (BO) to identify optimal CP model parameters under fatigue loading conditions. Utilizing cyclic data from additively manufactured Hastelloy X specimens at 500 degree-F, the BO framework, integrated with a Gaussian process surrogate model, significantly reduces the number of required simulations.","authors_text":"Ajay Kushwaha, Amrita Basak, Eralp Demir","cross_cats":["cond-mat.mtrl-sci","cs.LG","cs.NA","math.NA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2024-12-06T15:46:37Z","title":"Elucidating microstructural influences on fatigue behavior for additively manufactured Hastelloy X using Bayesian-calibrated crystal plasticity model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10405","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":"sha256:1c33586973ca7e1e9c2b7a40694275f3fb6e9f8e826e2e91d8028453866d57db","target":"record","created_at":"2026-07-05T09:49:15Z","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":"5864c25dd64bfc0810a67a9eb79239450c2241df72239b537c30e2de526139e7","cross_cats_sorted":["cond-mat.mtrl-sci","cs.LG","cs.NA","math.NA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2024-12-06T15:46:37Z","title_canon_sha256":"c6926c07d0ed9d2cab69e54cba1c67855d0c022747f9cc5c43c507b39d0d6e17"},"schema_version":"1.0","source":{"id":"2412.10405","kind":"arxiv","version":1}},"canonical_sha256":"b6f6ade73c27af6d6785ea1468267bd01ee69886c24b9cf10a540664d3da3351","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6f6ade73c27af6d6785ea1468267bd01ee69886c24b9cf10a540664d3da3351","first_computed_at":"2026-07-05T09:49:15.504537Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:15.504537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZyzRMj5qyNmxGjzBbIRkzI6RywIkj/KxPKBtnjn0hMpypRgF8Dql/Fh11dcKSg6vIVYWIU00VUA5NO1LMEv9AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:15.505002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10405","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c33586973ca7e1e9c2b7a40694275f3fb6e9f8e826e2e91d8028453866d57db","sha256:0114099dc06d92e43fe90455ffc2ddecf65a41755167fb3473ed4ccc3666dd39"],"state_sha256":"826ec6c3edba961f81f5d0836ab63d6219e4eb18d9e9c2bde1089b6a2a1ff3cd"}