{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:YLRRQQSPIDQALP2P4HMZDIETOD","short_pith_number":"pith:YLRRQQSP","schema_version":"1.0","canonical_sha256":"c2e318424f40e005bf4fe1d991a09370f47037d3db50dd7f0f9acee204bf6138","source":{"kind":"arxiv","id":"2405.15224","version":2},"attestation_state":"computed","paper":{"title":"i-PI 3.0: a flexible and efficient framework for advanced atomistic simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"physics.chem-ph","authors_text":"Barak Hirshberg, Davide Tisi, Elia Stocco, Eszter S. P\\'os, George Trenins, Guillaume Fraux, Jacob Higer, Karen Fidanyan, Mariana Rossi, Matthias Kellner, Michele Ceriotti, Tao E. Li, Tomislav Begu\\v{s}i\\'c, Venkat Kapil, Yair Litman, Yotam M. Y. Feldman","submitted_at":"2024-05-24T05:30:38Z","abstract_excerpt":"Atomic-scale simulations have progressed tremendously over the past decade, largely due to the availability of machine-learning interatomic potentials. These potentials combine the accuracy of electronic structure calculations with the ability to reach extensive length and time scales. The i-PI package facilitates integrating the latest developments in this field with advanced modeling techniques, thanks to a modular software architecture based on inter-process communication through a socket interface. The choice of Python for implementation facilitates rapid prototyping but can add computatio"},"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":"2405.15224","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2024-05-24T05:30:38Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"e4d96850363b2dab6a1360c7e0b327ee586648509fde0f85bcdaabd216ed4c15","abstract_canon_sha256":"537c152c497315ef71b16723c28bb960efd391f6f77e58903b88bdff4798dc18"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:27:00.941562Z","signature_b64":"/9lIjX/RcxJYj+DzVKlpCnCsB3DoVAeKHnMTUwihDnVEFni0pgvxyGd3jJbJHRpxKW17wjWdlPGkP2tkOwRiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2e318424f40e005bf4fe1d991a09370f47037d3db50dd7f0f9acee204bf6138","last_reissued_at":"2026-07-05T09:27:00.941010Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:27:00.941010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"i-PI 3.0: a flexible and efficient framework for advanced atomistic simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"physics.chem-ph","authors_text":"Barak Hirshberg, Davide Tisi, Elia Stocco, Eszter S. P\\'os, George Trenins, Guillaume Fraux, Jacob Higer, Karen Fidanyan, Mariana Rossi, Matthias Kellner, Michele Ceriotti, Tao E. Li, Tomislav Begu\\v{s}i\\'c, Venkat Kapil, Yair Litman, Yotam M. Y. Feldman","submitted_at":"2024-05-24T05:30:38Z","abstract_excerpt":"Atomic-scale simulations have progressed tremendously over the past decade, largely due to the availability of machine-learning interatomic potentials. These potentials combine the accuracy of electronic structure calculations with the ability to reach extensive length and time scales. The i-PI package facilitates integrating the latest developments in this field with advanced modeling techniques, thanks to a modular software architecture based on inter-process communication through a socket interface. The choice of Python for implementation facilitates rapid prototyping but can add computatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15224","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/2405.15224/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":"2405.15224","created_at":"2026-07-05T09:27:00.941061+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.15224v2","created_at":"2026-07-05T09:27:00.941061+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15224","created_at":"2026-07-05T09:27:00.941061+00:00"},{"alias_kind":"pith_short_12","alias_value":"YLRRQQSPIDQA","created_at":"2026-07-05T09:27:00.941061+00:00"},{"alias_kind":"pith_short_16","alias_value":"YLRRQQSPIDQALP2P","created_at":"2026-07-05T09:27:00.941061+00:00"},{"alias_kind":"pith_short_8","alias_value":"YLRRQQSP","created_at":"2026-07-05T09:27:00.941061+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/YLRRQQSPIDQALP2P4HMZDIETOD","json":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD.json","graph_json":"https://pith.science/api/pith-number/YLRRQQSPIDQALP2P4HMZDIETOD/graph.json","events_json":"https://pith.science/api/pith-number/YLRRQQSPIDQALP2P4HMZDIETOD/events.json","paper":"https://pith.science/paper/YLRRQQSP"},"agent_actions":{"view_html":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD","download_json":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD.json","view_paper":"https://pith.science/paper/YLRRQQSP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.15224&json=true","fetch_graph":"https://pith.science/api/pith-number/YLRRQQSPIDQALP2P4HMZDIETOD/graph.json","fetch_events":"https://pith.science/api/pith-number/YLRRQQSPIDQALP2P4HMZDIETOD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD/action/storage_attestation","attest_author":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD/action/author_attestation","sign_citation":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD/action/citation_signature","submit_replication":"https://pith.science/pith/YLRRQQSPIDQALP2P4HMZDIETOD/action/replication_record"}},"created_at":"2026-07-05T09:27:00.941061+00:00","updated_at":"2026-07-05T09:27:00.941061+00:00"}