{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PRG7442QJEOOZM7Q6MNWAI4YT3","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":"6a6d7d206f431ced623f63685afce3f33656422d62141b02e4909146e9b9b703","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-01T11:18:01Z","title_canon_sha256":"2a38f536c335d9d8eb76ba290f0ec92001d7b7e1d36b1d3ee3e170781b8eb4f9"},"schema_version":"1.0","source":{"id":"1907.00662","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.00662","created_at":"2026-05-17T23:41:41Z"},{"alias_kind":"arxiv_version","alias_value":"1907.00662v1","created_at":"2026-05-17T23:41:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.00662","created_at":"2026-05-17T23:41:41Z"},{"alias_kind":"pith_short_12","alias_value":"PRG7442QJEOO","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"PRG7442QJEOOZM7Q","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"PRG7442Q","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:850685ae9dc6fc1f430f81ed0622c26423bcbf9c2e328088a78a382a80579189","target":"graph","created_at":"2026-05-17T23:41:41Z","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":"Prediction of power outages caused by convective storms which are highly localised in space and time is of crucial importance to power grid operators. We propose a new machine learning approach to predict the damage caused by storms. This approach hinges identifying and tracking of storm cells using weather radar images on the application of machine learning techniques. Overall prediction process consists of identifying storm cells from CAPPI weather radar images by contouring them with a solid 35 dBZ threshold, predicting a track of storm cells and classifying them based on their damage poten","authors_text":"Alexander Jung, Joonas Karjalainen, Roope Tervo","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-01T11:18:01Z","title":"Short-term prediction of Electricity Outages Caused by Convective Storms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.00662","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:e4de681c5ab3dcf432615f49786b296cee64ffd1d3784642767a7e46ed3adf56","target":"record","created_at":"2026-05-17T23:41:41Z","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":"6a6d7d206f431ced623f63685afce3f33656422d62141b02e4909146e9b9b703","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-01T11:18:01Z","title_canon_sha256":"2a38f536c335d9d8eb76ba290f0ec92001d7b7e1d36b1d3ee3e170781b8eb4f9"},"schema_version":"1.0","source":{"id":"1907.00662","kind":"arxiv","version":1}},"canonical_sha256":"7c4dfe7350491cecb3f0f31b6023989ed70ab681abfc2a1bc39dfde3acc30fe1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c4dfe7350491cecb3f0f31b6023989ed70ab681abfc2a1bc39dfde3acc30fe1","first_computed_at":"2026-05-17T23:41:41.593805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:41.593805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KSaAivxtdu+Xfb1j8u4GCZIyhGWUU5Q/Ko4RgTEyOH6qS88mUa5+/9pTM9hb3xZoD/bTvvSGO28/LjQz7vPSAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:41.594259Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.00662","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4de681c5ab3dcf432615f49786b296cee64ffd1d3784642767a7e46ed3adf56","sha256:850685ae9dc6fc1f430f81ed0622c26423bcbf9c2e328088a78a382a80579189"],"state_sha256":"6390a9750f2a534b1f487a46e43a8eb9d7695215f39031fa21fb82ac917fc6cf"}