{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ZGRR4BMZYGWOF7LUCA4MMMAA3G","short_pith_number":"pith:ZGRR4BMZ","canonical_record":{"source":{"id":"1906.08888","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-06-20T22:44:53Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"b522ba9480cfbb6dfb9c6bc594b08bb0295d47c25ec580f38daef27423af99ca","abstract_canon_sha256":"bcbcbcff07d820588c1e46c5c12bc4444404ee6d2050f57b22ca788f0bca230d"},"schema_version":"1.0"},"canonical_sha256":"c9a31e0599c1ace2fd741038c63000d9a940e6a857f66eb241253454c2f57674","source":{"kind":"arxiv","id":"1906.08888","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08888","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08888v4","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08888","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"ZGRR4BMZYGWO","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"ZGRR4BMZYGWOF7LU","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"ZGRR4BMZ","created_at":"2026-07-05T00:38:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ZGRR4BMZYGWOF7LUCA4MMMAA3G","target":"record","payload":{"canonical_record":{"source":{"id":"1906.08888","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-06-20T22:44:53Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"b522ba9480cfbb6dfb9c6bc594b08bb0295d47c25ec580f38daef27423af99ca","abstract_canon_sha256":"bcbcbcff07d820588c1e46c5c12bc4444404ee6d2050f57b22ca788f0bca230d"},"schema_version":"1.0"},"canonical_sha256":"c9a31e0599c1ace2fd741038c63000d9a940e6a857f66eb241253454c2f57674","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:38:45.543222Z","signature_b64":"ph0WnOF75er7khOOgRTlJZiQYfBL04jNzSE9K3TpmGjWoXKog4Athrf4gtG3ohBi8ThpGgfrZ50KO6M0GVsSAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9a31e0599c1ace2fd741038c63000d9a940e6a857f66eb241253454c2f57674","last_reissued_at":"2026-07-05T00:38:45.542737Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:38:45.542737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.08888","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:38:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tnYXWQqzsFy2oKwq2Esx1pbDSTCbkyuNSFApNKSqfCZyhTC2LBWX4El3/k7+Y6YDahw8vw2kuusqZUpfcJ3XDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:59:52.415564Z"},"content_sha256":"fac86419d1f9d769341d1982a524719208d9d3bd698f5a00b44d6454900016f9","schema_version":"1.0","event_id":"sha256:fac86419d1f9d769341d1982a524719208d9d3bd698f5a00b44d6454900016f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ZGRR4BMZYGWOF7LUCA4MMMAA3G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Performance and Cost Assessment of Machine Learning Interatomic Potentials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"physics.comp-ph","authors_text":"Aidan P. Thompson, Alexander V. Shapeev, Chi Chen, G\\'abor Cs\\'anyi, J\\\"org Behler, Mitchell A. Wood, Shyue Ping Ong, Xiangguo Li, Yiming Chen, Yunxing Zuo, Zhi Deng","submitted_at":"2019-06-20T22:44:53Z","abstract_excerpt":"Machine learning of the quantitative relationship between local environment descriptors and the potential energy surface of a system of atoms has emerged as a new frontier in the development of interatomic potentials (IAPs). Here, we present a comprehensive evaluation of ML-IAPs based on four local environment descriptors --- Behler-Parrinello symmetry functions, smooth overlap of atomic positions (SOAP), the Spectral Neighbor Analysis Potential (SNAP) bispectrum components, and moment tensors --- using a diverse data set generated using high-throughput density functional theory (DFT) calculat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08888","kind":"arxiv","version":4},"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/1906.08888/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":"2026-07-05T00:38:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yHE3F+0EjlpO3QFilQkPJUaNlIfyZVJy6Nc8qiSUGaSGf9IA7k4Z5viCqCfS2pkXCE0JiDxR21eENqqaJOR2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:59:52.416229Z"},"content_sha256":"fb3b7ad638fc4264148ac53be853efa46144ac65e0cd2d5629b037a0ba7fbba4","schema_version":"1.0","event_id":"sha256:fb3b7ad638fc4264148ac53be853efa46144ac65e0cd2d5629b037a0ba7fbba4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G/bundle.json","state_url":"https://pith.science/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G/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":"2026-07-09T05:59:52Z","links":{"resolver":"https://pith.science/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G","bundle":"https://pith.science/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G/bundle.json","state":"https://pith.science/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZGRR4BMZYGWOF7LUCA4MMMAA3G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZGRR4BMZYGWOF7LUCA4MMMAA3G","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":"bcbcbcff07d820588c1e46c5c12bc4444404ee6d2050f57b22ca788f0bca230d","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-06-20T22:44:53Z","title_canon_sha256":"b522ba9480cfbb6dfb9c6bc594b08bb0295d47c25ec580f38daef27423af99ca"},"schema_version":"1.0","source":{"id":"1906.08888","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08888","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08888v4","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08888","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"ZGRR4BMZYGWO","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"ZGRR4BMZYGWOF7LU","created_at":"2026-07-05T00:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"ZGRR4BMZ","created_at":"2026-07-05T00:38:45Z"}],"graph_snapshots":[{"event_id":"sha256:fb3b7ad638fc4264148ac53be853efa46144ac65e0cd2d5629b037a0ba7fbba4","target":"graph","created_at":"2026-07-05T00:38:45Z","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/1906.08888/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning of the quantitative relationship between local environment descriptors and the potential energy surface of a system of atoms has emerged as a new frontier in the development of interatomic potentials (IAPs). Here, we present a comprehensive evaluation of ML-IAPs based on four local environment descriptors --- Behler-Parrinello symmetry functions, smooth overlap of atomic positions (SOAP), the Spectral Neighbor Analysis Potential (SNAP) bispectrum components, and moment tensors --- using a diverse data set generated using high-throughput density functional theory (DFT) calculat","authors_text":"Aidan P. Thompson, Alexander V. Shapeev, Chi Chen, G\\'abor Cs\\'anyi, J\\\"org Behler, Mitchell A. Wood, Shyue Ping Ong, Xiangguo Li, Yiming Chen, Yunxing Zuo, Zhi Deng","cross_cats":["cond-mat.mtrl-sci"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-06-20T22:44:53Z","title":"A Performance and Cost Assessment of Machine Learning Interatomic Potentials"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08888","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:fac86419d1f9d769341d1982a524719208d9d3bd698f5a00b44d6454900016f9","target":"record","created_at":"2026-07-05T00:38:45Z","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":"bcbcbcff07d820588c1e46c5c12bc4444404ee6d2050f57b22ca788f0bca230d","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2019-06-20T22:44:53Z","title_canon_sha256":"b522ba9480cfbb6dfb9c6bc594b08bb0295d47c25ec580f38daef27423af99ca"},"schema_version":"1.0","source":{"id":"1906.08888","kind":"arxiv","version":4}},"canonical_sha256":"c9a31e0599c1ace2fd741038c63000d9a940e6a857f66eb241253454c2f57674","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9a31e0599c1ace2fd741038c63000d9a940e6a857f66eb241253454c2f57674","first_computed_at":"2026-07-05T00:38:45.542737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:38:45.542737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ph0WnOF75er7khOOgRTlJZiQYfBL04jNzSE9K3TpmGjWoXKog4Athrf4gtG3ohBi8ThpGgfrZ50KO6M0GVsSAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:38:45.543222Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.08888","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fac86419d1f9d769341d1982a524719208d9d3bd698f5a00b44d6454900016f9","sha256:fb3b7ad638fc4264148ac53be853efa46144ac65e0cd2d5629b037a0ba7fbba4"],"state_sha256":"5b66d29b405abd66cfa111098934b54b6c1e1d008437cc973145a334b8cdc9e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3MrXd2YWdFFgSfkVCzGspOTjews95xGcEK0JMxbPM+SEHVk23TUnv0c3o112h7q/lMOBGguVxkNbeg0AtiQwCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:59:52.419241Z","bundle_sha256":"d6228aaee44bf0136b0252b3c2c7f64a8c43ef64e8c9f6301e0c6916c34acb21"}}