{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QCHW3IUYDRMQ36VSXFTL7QBTFC","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":"8687852857d397c7ee150679e3eeed27e8bc8351d3fecc420cdd9db7639a91cb","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-11T22:42:53Z","title_canon_sha256":"cd53f8c7ec3b7be04a0b87e90e6cdd0c581e8b634015e33e62b9131fa2e1840f"},"schema_version":"1.0","source":{"id":"2407.08886","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.08886","created_at":"2026-07-05T08:42:57Z"},{"alias_kind":"arxiv_version","alias_value":"2407.08886v1","created_at":"2026-07-05T08:42:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.08886","created_at":"2026-07-05T08:42:57Z"},{"alias_kind":"pith_short_12","alias_value":"QCHW3IUYDRMQ","created_at":"2026-07-05T08:42:57Z"},{"alias_kind":"pith_short_16","alias_value":"QCHW3IUYDRMQ36VS","created_at":"2026-07-05T08:42:57Z"},{"alias_kind":"pith_short_8","alias_value":"QCHW3IUY","created_at":"2026-07-05T08:42:57Z"}],"graph_snapshots":[{"event_id":"sha256:682c4d0bdb8ddf51fb33c8b7fcfcd69e2d2335fc76440d61408aa5f5580b68a2","target":"graph","created_at":"2026-07-05T08:42:57Z","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/2407.08886/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper develops a novel machine learning-based framework using Semi-Supervised Multi-Task Learning (SS-MTL) for power system dynamic security assessment that is accurate, reliable, and aware of topological changes. The learning algorithm underlying the proposed framework integrates conditional masked encoders and employs multi-task learning for classification-aware feature representation, which improves the accuracy and scalability to larger systems. Additionally, this framework incorporates a confidence measure for its predictions, enhancing its reliability and interpretability. A topolog","authors_text":"Amirhossein Sajadi, Bri-Mathias Hodge, Muhy Eddin Za'ter","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-11T22:42:53Z","title":"Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.08886","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:e3a3d3ea2f0772b83d2b3cdb8b5f2038d059842519b075bca4c69be99f721384","target":"record","created_at":"2026-07-05T08:42:57Z","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":"8687852857d397c7ee150679e3eeed27e8bc8351d3fecc420cdd9db7639a91cb","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-11T22:42:53Z","title_canon_sha256":"cd53f8c7ec3b7be04a0b87e90e6cdd0c581e8b634015e33e62b9131fa2e1840f"},"schema_version":"1.0","source":{"id":"2407.08886","kind":"arxiv","version":1}},"canonical_sha256":"808f6da2981c590dfab2b966bfc033289fb6f087db4b07c56af2dad8c9cebb42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"808f6da2981c590dfab2b966bfc033289fb6f087db4b07c56af2dad8c9cebb42","first_computed_at":"2026-07-05T08:42:57.878611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:42:57.878611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ydB0yxU3RWrHndc/iNmDGsZejOgjMM/jIbOgZ6+RJZEh+kf7onZ4lvr5CWGgMP0wER5jUGrN/v5bLJGSY0jcCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:42:57.879077Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.08886","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3a3d3ea2f0772b83d2b3cdb8b5f2038d059842519b075bca4c69be99f721384","sha256:682c4d0bdb8ddf51fb33c8b7fcfcd69e2d2335fc76440d61408aa5f5580b68a2"],"state_sha256":"e2d5823fa0dcd3d90ae892be51f785ad6b09421c38430d97a785e9810f677aa8"}