{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CNKURN3JH6SB47P5MKVPEM4UXD","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":"64c528a108d30c0173c9ac1d1cb1e5f3518167f38e6abde65b02dcb0b4be5f59","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-06-03T19:21:08Z","title_canon_sha256":"788c3387f86580c03b8489189a398daba6d9d99e0e46082db32477275643b82c"},"schema_version":"1.0","source":{"id":"2506.03329","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03329","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03329v1","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03329","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_12","alias_value":"CNKURN3JH6SB","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_16","alias_value":"CNKURN3JH6SB47P5","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_8","alias_value":"CNKURN3J","created_at":"2026-07-05T11:15:25Z"}],"graph_snapshots":[{"event_id":"sha256:adcd39f04268c6d00c3a029daf358b8d773387674dd745bc9242fc738acb2d2f","target":"graph","created_at":"2026-07-05T11:15:25Z","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/2506.03329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The optimization of functional materials is important to enhance their properties, but their complex geometries pose great challenges to optimization. Data-driven algorithms efficiently navigate such complex design spaces by learning relationships between material structures and performance metrics to discover high-performance functional materials. Surrogate-based active learning, continually improving its surrogate model by iteratively including high-quality data points, has emerged as a cost-effective data-driven approach. Furthermore, it can be coupled with quantum computing to enhance opti","authors_text":"In-Saeng Suh, Seongmin Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-06-03T19:21:08Z","title":"Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03329","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":"sha256:3ce01466feccc2d1b2ac2cd27268b2f687261006ec9b7f8a4e591375626679df","target":"record","created_at":"2026-07-05T11:15:25Z","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":"64c528a108d30c0173c9ac1d1cb1e5f3518167f38e6abde65b02dcb0b4be5f59","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-06-03T19:21:08Z","title_canon_sha256":"788c3387f86580c03b8489189a398daba6d9d99e0e46082db32477275643b82c"},"schema_version":"1.0","source":{"id":"2506.03329","kind":"arxiv","version":1}},"canonical_sha256":"135548b7693fa41e7dfd62aaf23394b8c49e78129b701454cd108a7037db0723","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"135548b7693fa41e7dfd62aaf23394b8c49e78129b701454cd108a7037db0723","first_computed_at":"2026-07-05T11:15:25.310861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:25.310861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k2Gj152UCntzg515pYb8Ic5/8wBYWMplA8q0qRlzSfHYwCzwbp9kNSeZM4Sm7TxOwmT/hdAx2boz28uG+wmjBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:25.311325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03329","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ce01466feccc2d1b2ac2cd27268b2f687261006ec9b7f8a4e591375626679df","sha256:adcd39f04268c6d00c3a029daf358b8d773387674dd745bc9242fc738acb2d2f"],"state_sha256":"73e83053d1fecb0048fc3b52442eefabf58b35c43a53de0da90537d349c1c550"}