{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IBXVKJWUTDUJBTY3N67BLUKQNK","short_pith_number":"pith:IBXVKJWU","canonical_record":{"source":{"id":"2401.01852","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-03T17:46:29Z","cross_cats_sorted":[],"title_canon_sha256":"51296ef5d2e90e0171465dd9f3ee20ebd59f672f433cd868fc1c1635534c385a","abstract_canon_sha256":"25dcc59a64962754b3bc904fe65a89832d09257564419dd67d30b7eaf3d8d488"},"schema_version":"1.0"},"canonical_sha256":"406f5526d498e890cf1b6fbe15d1506ab2fe03669a1e30c77e147f273f01d01a","source":{"kind":"arxiv","id":"2401.01852","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01852","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01852v2","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01852","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"pith_short_12","alias_value":"IBXVKJWUTDUJ","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"pith_short_16","alias_value":"IBXVKJWUTDUJBTY3","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"pith_short_8","alias_value":"IBXVKJWU","created_at":"2026-07-05T10:06:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IBXVKJWUTDUJBTY3N67BLUKQNK","target":"record","payload":{"canonical_record":{"source":{"id":"2401.01852","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-03T17:46:29Z","cross_cats_sorted":[],"title_canon_sha256":"51296ef5d2e90e0171465dd9f3ee20ebd59f672f433cd868fc1c1635534c385a","abstract_canon_sha256":"25dcc59a64962754b3bc904fe65a89832d09257564419dd67d30b7eaf3d8d488"},"schema_version":"1.0"},"canonical_sha256":"406f5526d498e890cf1b6fbe15d1506ab2fe03669a1e30c77e147f273f01d01a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:06:02.563508Z","signature_b64":"bGRO3GRMwZKxGN65ABTZHcRf9pGvKQic0n14LPE31aV8RG9Xsbf/V2J5/Aq7Bb+mwQL2+S/JQQlrPtoELOlCCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"406f5526d498e890cf1b6fbe15d1506ab2fe03669a1e30c77e147f273f01d01a","last_reissued_at":"2026-07-05T10:06:02.563021Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:06:02.563021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.01852","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":"2026-07-05T10:06:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4B4gF023vYgtg3M95GAiuM1J2AkxvgC2Fiyh51FSJjQBHLWOMMf97r4Plju0juOuyLulf0zA9PcSsQ87eQwYAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:14:32.543115Z"},"content_sha256":"4d5399fb492768ce23fa9095267d182255048807bb0dd1c57730fa49bd0237fa","schema_version":"1.0","event_id":"sha256:4d5399fb492768ce23fa9095267d182255048807bb0dd1c57730fa49bd0237fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IBXVKJWUTDUJBTY3N67BLUKQNK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Biswas Rijal, Donald W. Brenner, Douglas E. Wolfe, Eva Zurek, Jon-Paul Maria, Josiah Roberts, Simon Divilov, Stefano Curtarolo, William G. Fahrenholtz","submitted_at":"2024-01-03T17:46:29Z","abstract_excerpt":"Large density functional theory (DFT) databases are a treasure trove of energies, forces and stresses that can be used to train machine learned interatomic potentials for atomistic modeling. Herein, we employ structural relaxations from the AFLOW database to train moment tensor potentials (MTPs) for four carbide systems: HfTaC, HfZrC, MoWC and TaTiC. The resulting MTPs are used to relax ~6300 random symmetric structures, and are subsequently improved via active learning to generate robust potentials (RP) that can relax a wide variety of structures, and accurate potentials (AP) designed for the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01852","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/2401.01852/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":"2026-07-05T10:06:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d8/PWIK2RENr9bCbkWfuUdpmgZvONYu/ZIPLS9+V9kYmuvzewfIslaE2aitRtES5t6SUlBrNUq7NCi+ec1I2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:14:32.543502Z"},"content_sha256":"00f3c84b0f29ccd53138c64b1903d63cd9f3c6e2631a38810ab51ca9418850a3","schema_version":"1.0","event_id":"sha256:00f3c84b0f29ccd53138c64b1903d63cd9f3c6e2631a38810ab51ca9418850a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IBXVKJWUTDUJBTY3N67BLUKQNK/bundle.json","state_url":"https://pith.science/pith/IBXVKJWUTDUJBTY3N67BLUKQNK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IBXVKJWUTDUJBTY3N67BLUKQNK/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":"2026-07-06T18:14:32Z","links":{"resolver":"https://pith.science/pith/IBXVKJWUTDUJBTY3N67BLUKQNK","bundle":"https://pith.science/pith/IBXVKJWUTDUJBTY3N67BLUKQNK/bundle.json","state":"https://pith.science/pith/IBXVKJWUTDUJBTY3N67BLUKQNK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IBXVKJWUTDUJBTY3N67BLUKQNK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IBXVKJWUTDUJBTY3N67BLUKQNK","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":"25dcc59a64962754b3bc904fe65a89832d09257564419dd67d30b7eaf3d8d488","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-03T17:46:29Z","title_canon_sha256":"51296ef5d2e90e0171465dd9f3ee20ebd59f672f433cd868fc1c1635534c385a"},"schema_version":"1.0","source":{"id":"2401.01852","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01852","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01852v2","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01852","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"pith_short_12","alias_value":"IBXVKJWUTDUJ","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"pith_short_16","alias_value":"IBXVKJWUTDUJBTY3","created_at":"2026-07-05T10:06:02Z"},{"alias_kind":"pith_short_8","alias_value":"IBXVKJWU","created_at":"2026-07-05T10:06:02Z"}],"graph_snapshots":[{"event_id":"sha256:00f3c84b0f29ccd53138c64b1903d63cd9f3c6e2631a38810ab51ca9418850a3","target":"graph","created_at":"2026-07-05T10:06:02Z","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/2401.01852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large density functional theory (DFT) databases are a treasure trove of energies, forces and stresses that can be used to train machine learned interatomic potentials for atomistic modeling. Herein, we employ structural relaxations from the AFLOW database to train moment tensor potentials (MTPs) for four carbide systems: HfTaC, HfZrC, MoWC and TaTiC. The resulting MTPs are used to relax ~6300 random symmetric structures, and are subsequently improved via active learning to generate robust potentials (RP) that can relax a wide variety of structures, and accurate potentials (AP) designed for the","authors_text":"Biswas Rijal, Donald W. Brenner, Douglas E. Wolfe, Eva Zurek, Jon-Paul Maria, Josiah Roberts, Simon Divilov, Stefano Curtarolo, William G. Fahrenholtz","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-03T17:46:29Z","title":"Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01852","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":"sha256:4d5399fb492768ce23fa9095267d182255048807bb0dd1c57730fa49bd0237fa","target":"record","created_at":"2026-07-05T10:06:02Z","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":"25dcc59a64962754b3bc904fe65a89832d09257564419dd67d30b7eaf3d8d488","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-03T17:46:29Z","title_canon_sha256":"51296ef5d2e90e0171465dd9f3ee20ebd59f672f433cd868fc1c1635534c385a"},"schema_version":"1.0","source":{"id":"2401.01852","kind":"arxiv","version":2}},"canonical_sha256":"406f5526d498e890cf1b6fbe15d1506ab2fe03669a1e30c77e147f273f01d01a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"406f5526d498e890cf1b6fbe15d1506ab2fe03669a1e30c77e147f273f01d01a","first_computed_at":"2026-07-05T10:06:02.563021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:06:02.563021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bGRO3GRMwZKxGN65ABTZHcRf9pGvKQic0n14LPE31aV8RG9Xsbf/V2J5/Aq7Bb+mwQL2+S/JQQlrPtoELOlCCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:06:02.563508Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.01852","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d5399fb492768ce23fa9095267d182255048807bb0dd1c57730fa49bd0237fa","sha256:00f3c84b0f29ccd53138c64b1903d63cd9f3c6e2631a38810ab51ca9418850a3"],"state_sha256":"77a1fd25f234a282e99f20c44a2d9bc6b4e8d6b9d14cce5cc39edef8d621cd3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QchpsDqMEAB1dCQpViWCOfZjw8jar6NxFPoqttSH/9GlDTrqO1BE6dK8cWgtRtOh2cS217vJaLP8OupPNPAdBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:14:32.545464Z","bundle_sha256":"8662f0a911e91e44c37bb629eea9eaafcb1e4670a9a469eab1e92617cb2025ba"}}