{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QJGJEJIE6GXCLS35KDG2XEPB2E","short_pith_number":"pith:QJGJEJIE","canonical_record":{"source":{"id":"2507.19660","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-07-25T20:17:41Z","cross_cats_sorted":[],"title_canon_sha256":"57c2aa9d91f3165ce72dde5e43dd50cf380fb311a7894cfccb1470155e8ef200","abstract_canon_sha256":"90fce1a9676a97774befc89d0c7b9552c2c87791406c1b525d86d022d13ccfaf"},"schema_version":"1.0"},"canonical_sha256":"824c922504f1ae25cb7d50cdab91e1d103206fe24d01e6a8d9f544d5574bc5ef","source":{"kind":"arxiv","id":"2507.19660","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19660","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19660v2","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19660","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"pith_short_12","alias_value":"QJGJEJIE6GXC","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"pith_short_16","alias_value":"QJGJEJIE6GXCLS35","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"pith_short_8","alias_value":"QJGJEJIE","created_at":"2026-06-04T00:06:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QJGJEJIE6GXCLS35KDG2XEPB2E","target":"record","payload":{"canonical_record":{"source":{"id":"2507.19660","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-07-25T20:17:41Z","cross_cats_sorted":[],"title_canon_sha256":"57c2aa9d91f3165ce72dde5e43dd50cf380fb311a7894cfccb1470155e8ef200","abstract_canon_sha256":"90fce1a9676a97774befc89d0c7b9552c2c87791406c1b525d86d022d13ccfaf"},"schema_version":"1.0"},"canonical_sha256":"824c922504f1ae25cb7d50cdab91e1d103206fe24d01e6a8d9f544d5574bc5ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T00:06:50.341484Z","signature_b64":"D2+QAnmo1i5MFarLRstcQVqIAmXjFxZ81qG2fPFE9YqFLHdWyIOsJg6sPJijOceopBWvO8KE1r1xyJk15TVtCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"824c922504f1ae25cb7d50cdab91e1d103206fe24d01e6a8d9f544d5574bc5ef","last_reissued_at":"2026-06-04T00:06:50.340977Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T00:06:50.340977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.19660","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T00:06:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Im6QO/gho79avJE/AtFY9yKoKgY5ig/g4tyWpTz1Ezc4JcwIA6xFGXhOUzEc70tn0LwG6u06mUgYXez4qIxWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T13:58:13.088132Z"},"content_sha256":"cc2b3eb0d541c98abffafb7ce8dd1e26194823f251e1c5eced846afe10ccb114","schema_version":"1.0","event_id":"sha256:cc2b3eb0d541c98abffafb7ce8dd1e26194823f251e1c5eced846afe10ccb114"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QJGJEJIE6GXCLS35KDG2XEPB2E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-efficient machine-learning of complex Fe-Mo intermetallics using domain knowledge of chemistry and crystallography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Alesya Malakhova, Jean-Claude Crivello, Jean-Marc Joubert, Mariano Forti, Ralf Drautz, Thomas Hammerschmidt, Wenhao Zhang, Yury Lysogorskiy","submitted_at":"2025-07-25T20:17:41Z","abstract_excerpt":"Atomistic simulations of multi-component systems require accurate descriptions of interatomic interactions to resolve details in the energy of competing phases. A particularly challenging case are topologically close-packed (TCP) phases with close energetic competition of numerous different site occupations even in binary systems like Fe-Mo. In this work, machine learning (ML) models are presented that overcome this challenge by using features with domain knowledge of chemistry and crystallography. The resulting data-efficient ML models need only a small set of training data of simple TCP phas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19660","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.19660/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T00:06:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rBlE1T1rI4/9+cHVtLsVEZVkBY7m1Vep7Ah9hu3KofLfL7T/5Ce38N5BmNxIamYgfCyF/cJwulacT8F/SsJWCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T13:58:13.088529Z"},"content_sha256":"2138f29e4b3a8255814b3d855b2da302037d849468e343fbd64e76a1cb01e4bd","schema_version":"1.0","event_id":"sha256:2138f29e4b3a8255814b3d855b2da302037d849468e343fbd64e76a1cb01e4bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QJGJEJIE6GXCLS35KDG2XEPB2E/bundle.json","state_url":"https://pith.science/pith/QJGJEJIE6GXCLS35KDG2XEPB2E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QJGJEJIE6GXCLS35KDG2XEPB2E/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-05T13:58:13Z","links":{"resolver":"https://pith.science/pith/QJGJEJIE6GXCLS35KDG2XEPB2E","bundle":"https://pith.science/pith/QJGJEJIE6GXCLS35KDG2XEPB2E/bundle.json","state":"https://pith.science/pith/QJGJEJIE6GXCLS35KDG2XEPB2E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QJGJEJIE6GXCLS35KDG2XEPB2E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QJGJEJIE6GXCLS35KDG2XEPB2E","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":"90fce1a9676a97774befc89d0c7b9552c2c87791406c1b525d86d022d13ccfaf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-07-25T20:17:41Z","title_canon_sha256":"57c2aa9d91f3165ce72dde5e43dd50cf380fb311a7894cfccb1470155e8ef200"},"schema_version":"1.0","source":{"id":"2507.19660","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19660","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19660v2","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19660","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"pith_short_12","alias_value":"QJGJEJIE6GXC","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"pith_short_16","alias_value":"QJGJEJIE6GXCLS35","created_at":"2026-06-04T00:06:50Z"},{"alias_kind":"pith_short_8","alias_value":"QJGJEJIE","created_at":"2026-06-04T00:06:50Z"}],"graph_snapshots":[{"event_id":"sha256:2138f29e4b3a8255814b3d855b2da302037d849468e343fbd64e76a1cb01e4bd","target":"graph","created_at":"2026-06-04T00:06:50Z","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/2507.19660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Atomistic simulations of multi-component systems require accurate descriptions of interatomic interactions to resolve details in the energy of competing phases. A particularly challenging case are topologically close-packed (TCP) phases with close energetic competition of numerous different site occupations even in binary systems like Fe-Mo. In this work, machine learning (ML) models are presented that overcome this challenge by using features with domain knowledge of chemistry and crystallography. The resulting data-efficient ML models need only a small set of training data of simple TCP phas","authors_text":"Alesya Malakhova, Jean-Claude Crivello, Jean-Marc Joubert, Mariano Forti, Ralf Drautz, Thomas Hammerschmidt, Wenhao Zhang, Yury Lysogorskiy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-07-25T20:17:41Z","title":"Data-efficient machine-learning of complex Fe-Mo intermetallics using domain knowledge of chemistry and crystallography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19660","kind":"arxiv","version":2},"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:cc2b3eb0d541c98abffafb7ce8dd1e26194823f251e1c5eced846afe10ccb114","target":"record","created_at":"2026-06-04T00:06:50Z","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":"90fce1a9676a97774befc89d0c7b9552c2c87791406c1b525d86d022d13ccfaf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-07-25T20:17:41Z","title_canon_sha256":"57c2aa9d91f3165ce72dde5e43dd50cf380fb311a7894cfccb1470155e8ef200"},"schema_version":"1.0","source":{"id":"2507.19660","kind":"arxiv","version":2}},"canonical_sha256":"824c922504f1ae25cb7d50cdab91e1d103206fe24d01e6a8d9f544d5574bc5ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"824c922504f1ae25cb7d50cdab91e1d103206fe24d01e6a8d9f544d5574bc5ef","first_computed_at":"2026-06-04T00:06:50.340977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T00:06:50.340977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D2+QAnmo1i5MFarLRstcQVqIAmXjFxZ81qG2fPFE9YqFLHdWyIOsJg6sPJijOceopBWvO8KE1r1xyJk15TVtCQ==","signature_status":"signed_v1","signed_at":"2026-06-04T00:06:50.341484Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19660","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc2b3eb0d541c98abffafb7ce8dd1e26194823f251e1c5eced846afe10ccb114","sha256:2138f29e4b3a8255814b3d855b2da302037d849468e343fbd64e76a1cb01e4bd"],"state_sha256":"7fdd76171fa6a2c363d01a1c2b8203b0ac249d63ce254ca318c63056c7c6cfb8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uf5gdCskxXtHHNaREdabHL/ibraoZufBFF+NOZibrZ+P6PYxYAgQuX2TfMVsAC/fHqdgPtftDq/Z0pKw3TDnBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T13:58:13.090492Z","bundle_sha256":"410e673372db0e21b8a6b4f42a929507bf5b66c56ca160c1acdd1f156ef3de50"}}