{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OS3NQ6T2LJQFPGGQ7JHW5OUK3A","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":"94d4549eab98f252077977d10700810ca72330e3889c277b09aaa7282489cc40","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T22:24:55Z","title_canon_sha256":"52fd39f15a45fe80bf0026994c51db2059486413cb2978bda3c6371fcba02fb9"},"schema_version":"1.0","source":{"id":"2506.08272","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08272","created_at":"2026-07-05T11:18:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08272v1","created_at":"2026-07-05T11:18:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08272","created_at":"2026-07-05T11:18:47Z"},{"alias_kind":"pith_short_12","alias_value":"OS3NQ6T2LJQF","created_at":"2026-07-05T11:18:47Z"},{"alias_kind":"pith_short_16","alias_value":"OS3NQ6T2LJQFPGGQ","created_at":"2026-07-05T11:18:47Z"},{"alias_kind":"pith_short_8","alias_value":"OS3NQ6T2","created_at":"2026-07-05T11:18:47Z"}],"graph_snapshots":[{"event_id":"sha256:845ac9d46565965de78338063800dbcb8d9129639c4ba97d067772fbb1dff84a","target":"graph","created_at":"2026-07-05T11:18:47Z","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/2506.08272/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Universal Differential Equations (UDEs), which blend neural networks with physical differential equations, have emerged as a powerful framework for scientific machine learning (SciML), enabling data-efficient, interpretable, and physically consistent modeling. In the context of smart grid systems, modeling node-wise battery dynamics remains a challenge due to the stochasticity of solar input and variability in household load profiles. Traditional approaches often struggle with generalization and fail to capture unmodeled residual dynamics. This work proposes a UDE-based approach to learn node-","authors_text":"Tarushri N. S.","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T22:24:55Z","title":"Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08272","kind":"arxiv","version":1},"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":"sha256:16855aee8388797589515df8a7d12a579b405fd6572fe5edc0af3c300d4068a1","target":"record","created_at":"2026-07-05T11:18:47Z","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":"94d4549eab98f252077977d10700810ca72330e3889c277b09aaa7282489cc40","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T22:24:55Z","title_canon_sha256":"52fd39f15a45fe80bf0026994c51db2059486413cb2978bda3c6371fcba02fb9"},"schema_version":"1.0","source":{"id":"2506.08272","kind":"arxiv","version":1}},"canonical_sha256":"74b6d87a7a5a605798d0fa4f6eba8ad83e025a089fa2d966d359247f2cecb42f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74b6d87a7a5a605798d0fa4f6eba8ad83e025a089fa2d966d359247f2cecb42f","first_computed_at":"2026-07-05T11:18:47.220005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:47.220005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dmiCCn+BIUpafqMDOf2HZt0aLa2xeq29pumnebGPXPJqgpU3d7q4Q9bdLf0gM9Vyq0HJxvu/NM9B8sn5SPKlCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:47.220434Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.08272","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16855aee8388797589515df8a7d12a579b405fd6572fe5edc0af3c300d4068a1","sha256:845ac9d46565965de78338063800dbcb8d9129639c4ba97d067772fbb1dff84a"],"state_sha256":"366cc908d73888200c5e66838938e31677786a42620eefdb732f5a6789226d85"}