{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:74IL3SUW74BENGKITDQY3MZSNS","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":"f9b712be77cc984ca5284e284515770652c571c5337ac4666c0d8bfb8d093983","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2018-12-12T13:21:40Z","title_canon_sha256":"5a2458c5625950c1c9ce62af02b3067304985b193cc266c35dfc918acd171095"},"schema_version":"1.0","source":{"id":"1812.04932","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04932","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04932v4","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04932","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"pith_short_12","alias_value":"74IL3SUW74BE","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"74IL3SUW74BENGKI","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"74IL3SUW","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:47a326b6fc7518a305be0d653bc86d8d07d840c516eb23620aefb4979f46f775","target":"graph","created_at":"2026-05-17T23:48:16Z","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":"To date, density functional theory (DFT) is one of the most accurate and yet practical theory to gain insight about materials properties. Although successful, the computational cost is the main hurdle even today. A way out is combining DFT with machine learning (ML) to reduce the computational cost without compromising accuracy. However, the success of this approach hinges on the correctness of the descriptors. In the present work, we demonstrate that, based on {\\it only} interatomic distances as descriptors, our ML model predicts interaction energy between an adsorbate and Al cluster with abs","authors_text":"Kavita Joshi, Sheena Agarwal, Shweta Mehta","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2018-12-12T13:21:40Z","title":"Combining DFT with ML to study size specific interactions between metal clusters and adsorbates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04932","kind":"arxiv","version":4},"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:be3f641d47c01a23dd350b8134a6cafb133ebaf5ce7abe87ac6c62d3781f4234","target":"record","created_at":"2026-05-17T23:48:16Z","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":"f9b712be77cc984ca5284e284515770652c571c5337ac4666c0d8bfb8d093983","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2018-12-12T13:21:40Z","title_canon_sha256":"5a2458c5625950c1c9ce62af02b3067304985b193cc266c35dfc918acd171095"},"schema_version":"1.0","source":{"id":"1812.04932","kind":"arxiv","version":4}},"canonical_sha256":"ff10bdca96ff0246994898e18db3326cbd94cd9b94efa4677d77ebca21d3a47d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff10bdca96ff0246994898e18db3326cbd94cd9b94efa4677d77ebca21d3a47d","first_computed_at":"2026-05-17T23:48:16.855609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:16.855609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HTpj/ZOrMIxpy0sFD6667TcV6v7q9NQV6Fn7L0z1iSOuPFkXqNCNiLktDAOGkCGA1TIYdT9SzuFe/qWYK3YuAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:16.856118Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.04932","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be3f641d47c01a23dd350b8134a6cafb133ebaf5ce7abe87ac6c62d3781f4234","sha256:47a326b6fc7518a305be0d653bc86d8d07d840c516eb23620aefb4979f46f775"],"state_sha256":"87bce0bce4b987380c8440a4789594bf80c4654a58327d00001c29761a140522"}