{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WYKKVWBUYBBTUNRXOCWFGJNQM3","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":"052273812846262d4c72686ea9791bf99fe1cd49a422c4d82b345a57072c6f01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-27T09:21:02Z","title_canon_sha256":"677ec56d60e7240c5d15b412a366815db8b42f939f158819b9e6cf7c062f3b87"},"schema_version":"1.0","source":{"id":"2505.20930","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20930","created_at":"2026-07-05T11:45:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20930v2","created_at":"2026-07-05T11:45:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20930","created_at":"2026-07-05T11:45:36Z"},{"alias_kind":"pith_short_12","alias_value":"WYKKVWBUYBBT","created_at":"2026-07-05T11:45:36Z"},{"alias_kind":"pith_short_16","alias_value":"WYKKVWBUYBBTUNRX","created_at":"2026-07-05T11:45:36Z"},{"alias_kind":"pith_short_8","alias_value":"WYKKVWBU","created_at":"2026-07-05T11:45:36Z"}],"graph_snapshots":[{"event_id":"sha256:1a0f836d24825915e5f57d553c573faf521ad3cc8fe5ec2b539b0cc2c74f1834","target":"graph","created_at":"2026-07-05T11:45:36Z","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/2505.20930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multilevel Monte Carlo (MLMC) is a flexible and effective variance reduction technique for accelerating reliability assessments of complex power system. Recently, data-driven surrogate models have been proposed as lower-level models in the MLMC framework due to their high correlation and negligible execution time once trained. However, in resource adequacy assessments, pre-labeled datasets are typically unavailable. For large-scale systems, the efficiency gains from surrogate models are often offset by the substantial time required for labeling training data. Therefore, this paper introduces a","authors_text":"Ruiqi Zhang, Simon H. Tindemans","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-27T09:21:02Z","title":"MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20930","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:b8ec10d1797e78f810257e3049bfff1eb1fd737e6ec4f8b4ecabf2bd982cdab3","target":"record","created_at":"2026-07-05T11:45:36Z","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":"052273812846262d4c72686ea9791bf99fe1cd49a422c4d82b345a57072c6f01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-27T09:21:02Z","title_canon_sha256":"677ec56d60e7240c5d15b412a366815db8b42f939f158819b9e6cf7c062f3b87"},"schema_version":"1.0","source":{"id":"2505.20930","kind":"arxiv","version":2}},"canonical_sha256":"b614aad834c0433a363770ac5325b066ef4022f88ce33e6ed32d7e16d2d5d11d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b614aad834c0433a363770ac5325b066ef4022f88ce33e6ed32d7e16d2d5d11d","first_computed_at":"2026-07-05T11:45:36.100355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:36.100355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H8RdV+tOgvjlnSHFFDXpOE23WxQY07dUFqKtS/MDfqU7MUkQ84OO3HT8OJyOdOJJDqYZ6VkRN5BAKRSGrG7zCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:36.100850Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20930","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8ec10d1797e78f810257e3049bfff1eb1fd737e6ec4f8b4ecabf2bd982cdab3","sha256:1a0f836d24825915e5f57d553c573faf521ad3cc8fe5ec2b539b0cc2c74f1834"],"state_sha256":"196ea5bd37708bbaf8a980c9af1198154a54a4410b55fde3a532538ade706879"}