{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:SDBQEP3ZVUV2Y3UEN3KLUN2B3R","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":"0066c7b78f134d17e23830bb8880915c8dfe9395254fd622a1718b509393e083","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2017-06-01T07:49:23Z","title_canon_sha256":"eaec986e467e5a91587a37271194cdf62b6e8386016cf2229084b7aac7c1998d"},"schema_version":"1.0","source":{"id":"1706.00192","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00192","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00192v1","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00192","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"SDBQEP3ZVUV2","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SDBQEP3ZVUV2Y3UE","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SDBQEP3Z","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:d32b879554a691fe268f1ee9c2de512a35fc11bfa5a541c7f1a1407f5b392f93","target":"graph","created_at":"2026-05-18T00:43:14Z","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"},"paper":{"abstract_excerpt":"Machine learning (ML) is increasingly becoming a helpful tool in the search for novel functional compounds. Here we use classification via random forests to predict the stability of half-Heusler (HH) compounds, using only experimentally reported compounds as a training set. Cross-validation yields an excellent agreement between the fraction of compounds classified as stable and the actual fraction of truly stable compounds in the ICSD. The ML model is then employed to screen 71,178 different 1:1:1 compositions, yielding 481 likely stable candidates. The predicted stability of HH compounds from","authors_text":"Ambroise van Roekeghem, Fleur Legrain, Georg K.H. Madsen, Jes\\'us Carrete, Natalio Mingo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2017-06-01T07:49:23Z","title":"Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus Ab Initio Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00192","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":"sha256:5da92b3efd67a6bb015e53661491fbb9e0936e657f0bb7a07e1f8467d6e6c215","target":"record","created_at":"2026-05-18T00:43:14Z","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":"0066c7b78f134d17e23830bb8880915c8dfe9395254fd622a1718b509393e083","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2017-06-01T07:49:23Z","title_canon_sha256":"eaec986e467e5a91587a37271194cdf62b6e8386016cf2229084b7aac7c1998d"},"schema_version":"1.0","source":{"id":"1706.00192","kind":"arxiv","version":1}},"canonical_sha256":"90c3023f79ad2bac6e846ed4ba3741dc41685413eadd8a3422af5be50028baa8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90c3023f79ad2bac6e846ed4ba3741dc41685413eadd8a3422af5be50028baa8","first_computed_at":"2026-05-18T00:43:14.794890Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:14.794890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C2F1XhZ7fH+b/Uk7WEn+ZzgXJd1ihIHKpx5AYkuEaVjpbshXy4u+2HmMKTJxPAXRhu4+YQ7kWzre5pSZ729ZAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:14.795577Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00192","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5da92b3efd67a6bb015e53661491fbb9e0936e657f0bb7a07e1f8467d6e6c215","sha256:d32b879554a691fe268f1ee9c2de512a35fc11bfa5a541c7f1a1407f5b392f93"],"state_sha256":"e5d2026b632af209226abb46763b292ce861ed0977b865abd92501cb96306171"}