{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ALXHNIJWQCPXNKDGKMHDZCR42B","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":"9d89cc4fabbe9fef0e4df4a71f3d1df0c12ae257e99734725e8725bc4f3917a5","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.SY","submitted_at":"2025-06-04T02:19:06Z","title_canon_sha256":"0569102526dabc5be4e6124c304939906998a1f417adfb5f1bbacda255cb14fd"},"schema_version":"1.0","source":{"id":"2506.03493","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03493","created_at":"2026-07-05T11:15:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03493v1","created_at":"2026-07-05T11:15:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03493","created_at":"2026-07-05T11:15:28Z"},{"alias_kind":"pith_short_12","alias_value":"ALXHNIJWQCPX","created_at":"2026-07-05T11:15:28Z"},{"alias_kind":"pith_short_16","alias_value":"ALXHNIJWQCPXNKDG","created_at":"2026-07-05T11:15:28Z"},{"alias_kind":"pith_short_8","alias_value":"ALXHNIJW","created_at":"2026-07-05T11:15:28Z"}],"graph_snapshots":[{"event_id":"sha256:73eccffc2a5785f8df547748ca08d42fcd781ee90d449c04c0abee1ec729e3d6","target":"graph","created_at":"2026-07-05T11:15:28Z","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/2506.03493/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and presence of non-Gaussian measurement noise. Although conventional learning-based models have been developed to overcome these challenges, they are negatively impacted by topology changes and real-time data loss. This paper proposes a novel deep geometric learning approach based on graph neural networks (GNNs) to estimate the states of PMU-unobservable power systems. The proposed approach combines graph conv","authors_text":"Anamitra Pal, Behrouz Azimian, Mohammad Golgol, Shiva Moshtagh","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.SY","submitted_at":"2025-06-04T02:19:06Z","title":"Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03493","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":"sha256:7e8a865e97d14deafc17420cc0ef2375bfd39d6cc430c96c06b5957876329a6d","target":"record","created_at":"2026-07-05T11:15:28Z","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":"9d89cc4fabbe9fef0e4df4a71f3d1df0c12ae257e99734725e8725bc4f3917a5","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.SY","submitted_at":"2025-06-04T02:19:06Z","title_canon_sha256":"0569102526dabc5be4e6124c304939906998a1f417adfb5f1bbacda255cb14fd"},"schema_version":"1.0","source":{"id":"2506.03493","kind":"arxiv","version":1}},"canonical_sha256":"02ee76a136809f76a866530e3c8a3cd047d3963ff30554c38b3337c87e1cec4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02ee76a136809f76a866530e3c8a3cd047d3963ff30554c38b3337c87e1cec4e","first_computed_at":"2026-07-05T11:15:28.702857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:28.702857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bWFAWJwGJXnS8qJ06PgUUwGBDt7N81016F5BfnijiussJ8m45P2d05YA9rXYLbmKaX70hhWyFdRiGfYpprB5BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:28.703292Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03493","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e8a865e97d14deafc17420cc0ef2375bfd39d6cc430c96c06b5957876329a6d","sha256:73eccffc2a5785f8df547748ca08d42fcd781ee90d449c04c0abee1ec729e3d6"],"state_sha256":"c0f3b7dde43b912a7799552a379eaa32c99f7799db70e9f6a502f575f890af55"}