{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:AXIX3KOBYKCXJ3ETKNYUGAX2NQ","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":"2b81519eebd100173e773df9ce95099e797401553bb03d4bd749483048f3905a","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-10T01:00:17Z","title_canon_sha256":"a9862da69c545bff1099e56601add52d3fc6b8bf4b87c3c7af19f7d374eef4c5"},"schema_version":"1.0","source":{"id":"1903.04486","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04486","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04486v1","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04486","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"AXIX3KOBYKCX","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"AXIX3KOBYKCXJ3ET","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"AXIX3KOB","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:282b94be802cbebec77795ceabab7a3304a900b82b71a9bfa428945467a4ada8","target":"graph","created_at":"2026-05-17T23:51:29Z","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":"This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids. The proposed method is formulated based on the availability of time-synchronized high-frequency measurement, and using the convolutional neural network (CNN) as the spatiotemporal feature representation along with softmax function. Despite the existing threshold-based, or energy-based events analysis methods, such as support vector machine (SVM), autoencoder, and tapered multi-layer perception (t-MLP) neural network, the proposed feature ","authors_text":"Hanif Livani, Iman Niazazari, Reza Arghandeh, Reza Jalilzadeh Hamidi","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-10T01:00:17Z","title":"Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04486","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":"sha256:85c99da0b589b7625970ef39a68aef9b6da20d560ae80401ae9034832ce72fb2","target":"record","created_at":"2026-05-17T23:51:29Z","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":"2b81519eebd100173e773df9ce95099e797401553bb03d4bd749483048f3905a","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-10T01:00:17Z","title_canon_sha256":"a9862da69c545bff1099e56601add52d3fc6b8bf4b87c3c7af19f7d374eef4c5"},"schema_version":"1.0","source":{"id":"1903.04486","kind":"arxiv","version":1}},"canonical_sha256":"05d17da9c1c28574ec9353714302fa6c27925b905188bc809a482f73239e3f55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05d17da9c1c28574ec9353714302fa6c27925b905188bc809a482f73239e3f55","first_computed_at":"2026-05-17T23:51:29.464954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:29.464954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DIZPvCRqSPA+vXHH4uETIZWoSuCDtecC69vbzF7yZagPXcBhCvWv0MeOvgIpURB7cx5EJZLVomefFOqlLSvTCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:29.465296Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.04486","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85c99da0b589b7625970ef39a68aef9b6da20d560ae80401ae9034832ce72fb2","sha256:282b94be802cbebec77795ceabab7a3304a900b82b71a9bfa428945467a4ada8"],"state_sha256":"571b933cc9986eb11ab35382fe65e0788c780484630bf69abb72f8d793e11404"}