{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LHT7WDOLNFYR4DIQHFOEDPCFEK","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":"27eda10b940d32237b0f4f5642996e711cce4685f1d91037056fd8d5db3abeff","cross_cats_sorted":["cond-mat.str-el","quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.other","submitted_at":"2018-03-22T01:40:50Z","title_canon_sha256":"e892da22c11132642ca3943b740e8359d16760de1a50793c685682de2c9cad3e"},"schema_version":"1.0","source":{"id":"1803.08195","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08195","created_at":"2026-05-17T23:47:49Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08195v3","created_at":"2026-05-17T23:47:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08195","created_at":"2026-05-17T23:47:49Z"},{"alias_kind":"pith_short_12","alias_value":"LHT7WDOLNFYR","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LHT7WDOLNFYR4DIQ","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LHT7WDOL","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:7907c299ab134677f17fa9a7c6cbfb459a0387b97f748b33da4cb9d419a85f59","target":"graph","created_at":"2026-05-17T23:47:49Z","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":"We present a machine-learning method for predicting sharp transitions in a Hamiltonian phase diagram by extrapolating the properties of quantum systems. The method is based on Gaussian Process regression with a combination of kernels chosen through an iterative procedure maximizing the predicting power of the kernels. The method is capable of extrapolating across the transition lines. The calculations within a given phase can be used to predict not only the closest sharp transition, but also a transition removed from the available data by a separate phase. This makes the present method particu","authors_text":"John Sous, Mona Berciu, Rodrigo A. Vargas-Hern\\'andez, Roman V. Krems","cross_cats":["cond-mat.str-el","quant-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.other","submitted_at":"2018-03-22T01:40:50Z","title":"Extrapolating quantum observables with machine learning: Inferring multiple phase transitions from properties of a single phase"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08195","kind":"arxiv","version":3},"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:cacb304de75498a604315616f0732f858cb6016f49edb82b360247c230fe6613","target":"record","created_at":"2026-05-17T23:47:49Z","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":"27eda10b940d32237b0f4f5642996e711cce4685f1d91037056fd8d5db3abeff","cross_cats_sorted":["cond-mat.str-el","quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.other","submitted_at":"2018-03-22T01:40:50Z","title_canon_sha256":"e892da22c11132642ca3943b740e8359d16760de1a50793c685682de2c9cad3e"},"schema_version":"1.0","source":{"id":"1803.08195","kind":"arxiv","version":3}},"canonical_sha256":"59e7fb0dcb69711e0d10395c41bc4522a4d6332622aba87208eedb807d05c025","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59e7fb0dcb69711e0d10395c41bc4522a4d6332622aba87208eedb807d05c025","first_computed_at":"2026-05-17T23:47:49.086347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:49.086347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"COy3PR+TCqBt5W/BAEQRAkM78porQgZDtDhVo8lrbYICQ65ut3/iH0Ie30eZxMow63QGjZ9tEe9I8lAl+p5vAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:49.086815Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.08195","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cacb304de75498a604315616f0732f858cb6016f49edb82b360247c230fe6613","sha256:7907c299ab134677f17fa9a7c6cbfb459a0387b97f748b33da4cb9d419a85f59"],"state_sha256":"dd79c883af913ddcf46bc2cc1ac9229eaf5379ecd470d1590fd4482cd052cdd6"}