{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:H2R23HMZNQ56AOCC7XGDRTULI4","short_pith_number":"pith:H2R23HMZ","schema_version":"1.0","canonical_sha256":"3ea3ad9d996c3be03842fdcc38ce8b4703965f059604bcd530afbcdf7f7997ac","source":{"kind":"arxiv","id":"1501.07884","version":2},"attestation_state":"computed","paper":{"title":"Geometry-based Estimation of Stability Region for A Class of Structure Preserving Power Grids","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Konstantin Turitsyn, Thanh Long Vu","submitted_at":"2015-01-30T18:52:06Z","abstract_excerpt":"The increasing development of the electric power grid, the largest engineered system ever, to an even more complicated and larger system requires a new generation of stability assessment methods that are computationally tractable and feasible in real-time. In this paper we first extend the recently introduced Lyapunov Functions Family (LFF) transient stability assessment approach, that has potential to reduce the computational cost on large scale power grids, to structure-preserving power grids. Then, we introduce a new geometry-based method to construct the stability region estimate of power "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1501.07884","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2015-01-30T18:52:06Z","cross_cats_sorted":[],"title_canon_sha256":"b4bbc6673dd3589d6239d05b40de1a765f9f2c6aeae9a037f450f18684b09b89","abstract_canon_sha256":"9f80df0e1ce7601f031dcf6103737d1d82249190f5f9b2e0301f5b03ac840ff4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:27:31.500113Z","signature_b64":"+2wf4GlSiqTgoH48WWj61GHw9x2reLPZngH5lEqWbauvIbtPg/qw4+nCXiXHN29CvWSKLUdb93evhyg/oxulBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ea3ad9d996c3be03842fdcc38ce8b4703965f059604bcd530afbcdf7f7997ac","last_reissued_at":"2026-05-18T02:27:31.499333Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:27:31.499333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Geometry-based Estimation of Stability Region for A Class of Structure Preserving Power Grids","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Konstantin Turitsyn, Thanh Long Vu","submitted_at":"2015-01-30T18:52:06Z","abstract_excerpt":"The increasing development of the electric power grid, the largest engineered system ever, to an even more complicated and larger system requires a new generation of stability assessment methods that are computationally tractable and feasible in real-time. In this paper we first extend the recently introduced Lyapunov Functions Family (LFF) transient stability assessment approach, that has potential to reduce the computational cost on large scale power grids, to structure-preserving power grids. Then, we introduce a new geometry-based method to construct the stability region estimate of power "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.07884","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1501.07884","created_at":"2026-05-18T02:27:31.499460+00:00"},{"alias_kind":"arxiv_version","alias_value":"1501.07884v2","created_at":"2026-05-18T02:27:31.499460+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.07884","created_at":"2026-05-18T02:27:31.499460+00:00"},{"alias_kind":"pith_short_12","alias_value":"H2R23HMZNQ56","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_16","alias_value":"H2R23HMZNQ56AOCC","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_8","alias_value":"H2R23HMZ","created_at":"2026-05-18T12:29:22.688609+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4","json":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4.json","graph_json":"https://pith.science/api/pith-number/H2R23HMZNQ56AOCC7XGDRTULI4/graph.json","events_json":"https://pith.science/api/pith-number/H2R23HMZNQ56AOCC7XGDRTULI4/events.json","paper":"https://pith.science/paper/H2R23HMZ"},"agent_actions":{"view_html":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4","download_json":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4.json","view_paper":"https://pith.science/paper/H2R23HMZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1501.07884&json=true","fetch_graph":"https://pith.science/api/pith-number/H2R23HMZNQ56AOCC7XGDRTULI4/graph.json","fetch_events":"https://pith.science/api/pith-number/H2R23HMZNQ56AOCC7XGDRTULI4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4/action/storage_attestation","attest_author":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4/action/author_attestation","sign_citation":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4/action/citation_signature","submit_replication":"https://pith.science/pith/H2R23HMZNQ56AOCC7XGDRTULI4/action/replication_record"}},"created_at":"2026-05-18T02:27:31.499460+00:00","updated_at":"2026-05-18T02:27:31.499460+00:00"}