{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TK2344X3PZ3HNLFS7KKETTOF6T","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":"345cbb251688f852843350fc106ed9a5b197729cee070ab4ef8e20650e262d1e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-03-25T21:35:59Z","title_canon_sha256":"dad73b60264049f82486739275eac58d61426146662ab028e172c19480018b78"},"schema_version":"1.0","source":{"id":"2403.17207","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17207","created_at":"2026-07-05T08:29:00Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17207v2","created_at":"2026-07-05T08:29:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17207","created_at":"2026-07-05T08:29:00Z"},{"alias_kind":"pith_short_12","alias_value":"TK2344X3PZ3H","created_at":"2026-07-05T08:29:00Z"},{"alias_kind":"pith_short_16","alias_value":"TK2344X3PZ3HNLFS","created_at":"2026-07-05T08:29:00Z"},{"alias_kind":"pith_short_8","alias_value":"TK2344X3","created_at":"2026-07-05T08:29:00Z"}],"graph_snapshots":[{"event_id":"sha256:09639df935534abd7b8de847afe645f4cf2589b5b7fe0f246b4a950c1245da33","target":"graph","created_at":"2026-07-05T08:29:00Z","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/2403.17207/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting response of materials to external stimuli is a primary objective of computational materials science. However, current methods are limited to small-scale simulations due to the unfavorable scaling of computational costs. Here, we implement an equivariant machine-learning framework where response properties stem from exact differential relationships between a generalized potential function and applied external fields. Focusing on responses to electric fields, the method predicts electric enthalpy, forces, polarization, Born charges, and polarizability within a unified model enforcing ","authors_text":"Albert Musaelian, Anders Johansson, Andrea Cepellotti, Boris Kozinsky, Cameron J. Owen, Chuin Wei Tan, Stefano Falletta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-03-25T21:35:59Z","title":"Unified Differentiable Learning of Electric Response"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17207","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":"sha256:68ed7d1febcb698b7a2c17e73c6f2aa97a21ee42e968925285556e79cb139a35","target":"record","created_at":"2026-07-05T08:29:00Z","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":"345cbb251688f852843350fc106ed9a5b197729cee070ab4ef8e20650e262d1e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-03-25T21:35:59Z","title_canon_sha256":"dad73b60264049f82486739275eac58d61426146662ab028e172c19480018b78"},"schema_version":"1.0","source":{"id":"2403.17207","kind":"arxiv","version":2}},"canonical_sha256":"9ab5be72fb7e7676acb2fa9449cdc5f4ea24d53647fd486f5c6cfa207949cd73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ab5be72fb7e7676acb2fa9449cdc5f4ea24d53647fd486f5c6cfa207949cd73","first_computed_at":"2026-07-05T08:29:00.115248Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:29:00.115248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qsm39eODzE28pKm/Iu5OBJNDIIEfl3A3p9zMTtOgNqRmHe+Ey04Sdx3+S8c/VTe/odX7cDX4HkfURBNOxpeoDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:29:00.115659Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.17207","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68ed7d1febcb698b7a2c17e73c6f2aa97a21ee42e968925285556e79cb139a35","sha256:09639df935534abd7b8de847afe645f4cf2589b5b7fe0f246b4a950c1245da33"],"state_sha256":"e07f747b4d5aad80ff054272e865869a9234448d9b123c06b3c926a150c97417"}