{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:XKVJA4FIEN4MUVZDBC2YCWMOMP","short_pith_number":"pith:XKVJA4FI","canonical_record":{"source":{"id":"1610.02098","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2016-10-06T23:31:48Z","cross_cats_sorted":[],"title_canon_sha256":"a1742aa7184e0b23378b5ac80196318e79ae05c52031e2b86ac3d6556d51dfff","abstract_canon_sha256":"6b6131535b6df4943a2977c1f0107a25adc5ffae5f1635cd18dab65082a63b8e"},"schema_version":"1.0"},"canonical_sha256":"baaa9070a82378ca572308b581598e63f06c6ef228ed9ba3056ffa2fef4bb684","source":{"kind":"arxiv","id":"1610.02098","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.02098","created_at":"2026-05-18T01:00:52Z"},{"alias_kind":"arxiv_version","alias_value":"1610.02098v2","created_at":"2026-05-18T01:00:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.02098","created_at":"2026-05-18T01:00:52Z"},{"alias_kind":"pith_short_12","alias_value":"XKVJA4FIEN4M","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"XKVJA4FIEN4MUVZD","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"XKVJA4FI","created_at":"2026-05-18T12:30:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:XKVJA4FIEN4MUVZDBC2YCWMOMP","target":"record","payload":{"canonical_record":{"source":{"id":"1610.02098","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2016-10-06T23:31:48Z","cross_cats_sorted":[],"title_canon_sha256":"a1742aa7184e0b23378b5ac80196318e79ae05c52031e2b86ac3d6556d51dfff","abstract_canon_sha256":"6b6131535b6df4943a2977c1f0107a25adc5ffae5f1635cd18dab65082a63b8e"},"schema_version":"1.0"},"canonical_sha256":"baaa9070a82378ca572308b581598e63f06c6ef228ed9ba3056ffa2fef4bb684","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:00:52.401749Z","signature_b64":"csTqbJKcP9oj3kijqbQzrbRRq0SL18rkIGyjRvE04ny7Z8cjAj0JhwlUqzdwuhe4MpLBBw1hGvHApic60KsUBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"baaa9070a82378ca572308b581598e63f06c6ef228ed9ba3056ffa2fef4bb684","last_reissued_at":"2026-05-18T01:00:52.401091Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:00:52.401091Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.02098","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":"2026-05-18T01:00:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FU4s1krTpzpAHOOv5bFsgZNg8eWCeWLaLGf2V0ICFNwbX0zatH+zAaGTVrnoVxdm8gZUhH8z7N2DCc+qu7GMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T09:39:38.690579Z"},"content_sha256":"ad8dcb29b13e6071e3874e43fc0f6e8b2d9f02ab3a7cb84a154f0beaa265f455","schema_version":"1.0","event_id":"sha256:ad8dcb29b13e6071e3874e43fc0f6e8b2d9f02ab3a7cb84a154f0beaa265f455"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:XKVJA4FIEN4MUVZDBC2YCWMOMP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine learning force fields: Construction, validation, and outlook","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"James Chapman, Rampi Ramprasad, Rohit Batra, Venkatesh Botu","submitted_at":"2016-10-06T23:31:48Z","abstract_excerpt":"Force fields developed with machine learning methods in tandem with quantum mechanics are beginning to find merit, given their (i) low cost, (ii) accuracy, and (iii) versatility. Recently, we proposed one such approach, wherein, the vectorial force on an atom is computed directly from its environment. Here, we discuss the multi-step workflow required for their construction, which begins with generating diverse reference atomic environments and force data, choosing a numerical representation for the atomic environments, down selecting a representative training set, and lastly the learning metho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.02098","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":""},"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":"2026-05-18T01:00:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"agcXD7gNTMHu91KvvroGQO0UhUE1x5iCMCeyA7vQ7aph8f7oDPErtiMBHGr2wbGtF89J1+HOtmVyESEXRjm2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T09:39:38.690926Z"},"content_sha256":"10b3c74313b488d59db012c24ab1e68d6ca2c15fb1df856044c3a1a725233792","schema_version":"1.0","event_id":"sha256:10b3c74313b488d59db012c24ab1e68d6ca2c15fb1df856044c3a1a725233792"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP/bundle.json","state_url":"https://pith.science/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP/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":"2026-06-26T09:39:38Z","links":{"resolver":"https://pith.science/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP","bundle":"https://pith.science/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP/bundle.json","state":"https://pith.science/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XKVJA4FIEN4MUVZDBC2YCWMOMP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:XKVJA4FIEN4MUVZDBC2YCWMOMP","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":"6b6131535b6df4943a2977c1f0107a25adc5ffae5f1635cd18dab65082a63b8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2016-10-06T23:31:48Z","title_canon_sha256":"a1742aa7184e0b23378b5ac80196318e79ae05c52031e2b86ac3d6556d51dfff"},"schema_version":"1.0","source":{"id":"1610.02098","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.02098","created_at":"2026-05-18T01:00:52Z"},{"alias_kind":"arxiv_version","alias_value":"1610.02098v2","created_at":"2026-05-18T01:00:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.02098","created_at":"2026-05-18T01:00:52Z"},{"alias_kind":"pith_short_12","alias_value":"XKVJA4FIEN4M","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"XKVJA4FIEN4MUVZD","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"XKVJA4FI","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:10b3c74313b488d59db012c24ab1e68d6ca2c15fb1df856044c3a1a725233792","target":"graph","created_at":"2026-05-18T01:00:52Z","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":"Force fields developed with machine learning methods in tandem with quantum mechanics are beginning to find merit, given their (i) low cost, (ii) accuracy, and (iii) versatility. Recently, we proposed one such approach, wherein, the vectorial force on an atom is computed directly from its environment. Here, we discuss the multi-step workflow required for their construction, which begins with generating diverse reference atomic environments and force data, choosing a numerical representation for the atomic environments, down selecting a representative training set, and lastly the learning metho","authors_text":"James Chapman, Rampi Ramprasad, Rohit Batra, Venkatesh Botu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2016-10-06T23:31:48Z","title":"Machine learning force fields: Construction, validation, and outlook"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.02098","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:ad8dcb29b13e6071e3874e43fc0f6e8b2d9f02ab3a7cb84a154f0beaa265f455","target":"record","created_at":"2026-05-18T01:00:52Z","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":"6b6131535b6df4943a2977c1f0107a25adc5ffae5f1635cd18dab65082a63b8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2016-10-06T23:31:48Z","title_canon_sha256":"a1742aa7184e0b23378b5ac80196318e79ae05c52031e2b86ac3d6556d51dfff"},"schema_version":"1.0","source":{"id":"1610.02098","kind":"arxiv","version":2}},"canonical_sha256":"baaa9070a82378ca572308b581598e63f06c6ef228ed9ba3056ffa2fef4bb684","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"baaa9070a82378ca572308b581598e63f06c6ef228ed9ba3056ffa2fef4bb684","first_computed_at":"2026-05-18T01:00:52.401091Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:00:52.401091Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"csTqbJKcP9oj3kijqbQzrbRRq0SL18rkIGyjRvE04ny7Z8cjAj0JhwlUqzdwuhe4MpLBBw1hGvHApic60KsUBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:00:52.401749Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.02098","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad8dcb29b13e6071e3874e43fc0f6e8b2d9f02ab3a7cb84a154f0beaa265f455","sha256:10b3c74313b488d59db012c24ab1e68d6ca2c15fb1df856044c3a1a725233792"],"state_sha256":"7fb3c46114b496aaec817985b00ba5675a28d67e7769db827090294c18ad185d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nq57qfByG606nN3+GHwQK1vSmAKEFDj0p9Qyuxn+gv4jnbWwGi1QuJ/DkZ+n+cAPDdD/PsLDDuu3ZfNc9jNNCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T09:39:38.693018Z","bundle_sha256":"96b066832e1bac8f027ca7703d46f779d91befba8029cde9166efe5f753ba0c1"}}