{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:7O7NFC2FGE6F6TRHYSY2MTYWCM","short_pith_number":"pith:7O7NFC2F","schema_version":"1.0","canonical_sha256":"fbbed28b45313c5f4e27c4b1a64f161324a1b2bff730c0dd64db51e0261dd156","source":{"kind":"arxiv","id":"2101.04673","version":3},"attestation_state":"computed","paper":{"title":"Physics-inspired structural representations for molecules and materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.chem-ph","authors_text":"Albert P. Bart\\'ok, Andrea Grisafi, Christoph Ortner, Felix Musil, G\\'abor Cs\\'anyi, Michele Ceriotti","submitted_at":"2021-01-12T18:58:22Z","abstract_excerpt":"The first step in the construction of a regression model or a data-driven analysis, aiming to predict or elucidate the relationship between the atomic scale structure of matter and its properties, involves transforming the Cartesian coordinates of the atoms into a suitable representation. The development of atomic-scale representations has played, and continues to play, a central role in the success of machine-learning methods for chemistry and materials science. This review summarizes the current understanding of the nature and characteristics of the most commonly used structural and chemical"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2101.04673","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2021-01-12T18:58:22Z","cross_cats_sorted":[],"title_canon_sha256":"855f57302a7cab52ed5d33e65916c79c4ea5bb7709b92c206c2c8cf96b329620","abstract_canon_sha256":"f9a00014af3f515263710c4b8c5336b565edd866f9c4edf6b068432d417cec7b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:03:18.578478Z","signature_b64":"+rRQ8oAzoaWmZknnnN3tmu8+vlpmhgmHiWFIv9t9wMRN9Ipn/GAbD6mMO5/yQ63vSEatCVfQXr5pXrmZkYYwBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fbbed28b45313c5f4e27c4b1a64f161324a1b2bff730c0dd64db51e0261dd156","last_reissued_at":"2026-07-05T03:03:18.578061Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:03:18.578061Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Physics-inspired structural representations for molecules and materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.chem-ph","authors_text":"Albert P. Bart\\'ok, Andrea Grisafi, Christoph Ortner, Felix Musil, G\\'abor Cs\\'anyi, Michele Ceriotti","submitted_at":"2021-01-12T18:58:22Z","abstract_excerpt":"The first step in the construction of a regression model or a data-driven analysis, aiming to predict or elucidate the relationship between the atomic scale structure of matter and its properties, involves transforming the Cartesian coordinates of the atoms into a suitable representation. The development of atomic-scale representations has played, and continues to play, a central role in the success of machine-learning methods for chemistry and materials science. This review summarizes the current understanding of the nature and characteristics of the most commonly used structural and chemical"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.04673","kind":"arxiv","version":3},"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/2101.04673/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2101.04673","created_at":"2026-07-05T03:03:18.578126+00:00"},{"alias_kind":"arxiv_version","alias_value":"2101.04673v3","created_at":"2026-07-05T03:03:18.578126+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.04673","created_at":"2026-07-05T03:03:18.578126+00:00"},{"alias_kind":"pith_short_12","alias_value":"7O7NFC2FGE6F","created_at":"2026-07-05T03:03:18.578126+00:00"},{"alias_kind":"pith_short_16","alias_value":"7O7NFC2FGE6F6TRH","created_at":"2026-07-05T03:03:18.578126+00:00"},{"alias_kind":"pith_short_8","alias_value":"7O7NFC2F","created_at":"2026-07-05T03:03:18.578126+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM","json":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM.json","graph_json":"https://pith.science/api/pith-number/7O7NFC2FGE6F6TRHYSY2MTYWCM/graph.json","events_json":"https://pith.science/api/pith-number/7O7NFC2FGE6F6TRHYSY2MTYWCM/events.json","paper":"https://pith.science/paper/7O7NFC2F"},"agent_actions":{"view_html":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM","download_json":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM.json","view_paper":"https://pith.science/paper/7O7NFC2F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2101.04673&json=true","fetch_graph":"https://pith.science/api/pith-number/7O7NFC2FGE6F6TRHYSY2MTYWCM/graph.json","fetch_events":"https://pith.science/api/pith-number/7O7NFC2FGE6F6TRHYSY2MTYWCM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM/action/storage_attestation","attest_author":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM/action/author_attestation","sign_citation":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM/action/citation_signature","submit_replication":"https://pith.science/pith/7O7NFC2FGE6F6TRHYSY2MTYWCM/action/replication_record"}},"created_at":"2026-07-05T03:03:18.578126+00:00","updated_at":"2026-07-05T03:03:18.578126+00:00"}