{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MCZ3FHDO6O4Z5QKU2AGAJLRLEU","short_pith_number":"pith:MCZ3FHDO","canonical_record":{"source":{"id":"1902.06211","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2019-02-17T06:24:24Z","cross_cats_sorted":[],"title_canon_sha256":"e433b423c7d89da3da3e96dd162083d3390209bb9048552873ea1dfde3d78ebe","abstract_canon_sha256":"6e4c339204b2fd7595af09aad360ba6c9f39d24ef4ec659c0d3caf8ca127443a"},"schema_version":"1.0"},"canonical_sha256":"60b3b29c6ef3b99ec154d00c04ae2b25055e61eb3949b7d0edce9a2ed80df526","source":{"kind":"arxiv","id":"1902.06211","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06211","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06211v1","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06211","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"pith_short_12","alias_value":"MCZ3FHDO6O4Z","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MCZ3FHDO6O4Z5QKU","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MCZ3FHDO","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MCZ3FHDO6O4Z5QKU2AGAJLRLEU","target":"record","payload":{"canonical_record":{"source":{"id":"1902.06211","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2019-02-17T06:24:24Z","cross_cats_sorted":[],"title_canon_sha256":"e433b423c7d89da3da3e96dd162083d3390209bb9048552873ea1dfde3d78ebe","abstract_canon_sha256":"6e4c339204b2fd7595af09aad360ba6c9f39d24ef4ec659c0d3caf8ca127443a"},"schema_version":"1.0"},"canonical_sha256":"60b3b29c6ef3b99ec154d00c04ae2b25055e61eb3949b7d0edce9a2ed80df526","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:46.274977Z","signature_b64":"r8jFDOwPrJ1xQND60VkhaT30kFTqYMxlYyUMsJnHivR6FbXhqPAtHBD3Qfc3diQ2ewd9bk5elyDhlO4s5Or2Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60b3b29c6ef3b99ec154d00c04ae2b25055e61eb3949b7d0edce9a2ed80df526","last_reissued_at":"2026-05-17T23:53:46.274407Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:46.274407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.06211","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:53:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NGbUS9vBps7HrzBiDzyoLbuuTIacZIiuZtHnfdjfIgXeCn19kRneCdLOhe/QpPdxOXtznkBUyzwnAV2MqWK3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T01:03:41.939214Z"},"content_sha256":"089df9b5d1368a33e3dad4ee8e2429e64645c96ec1050210af0731e1868159a4","schema_version":"1.0","event_id":"sha256:089df9b5d1368a33e3dad4ee8e2429e64645c96ec1050210af0731e1868159a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MCZ3FHDO6O4Z5QKU2AGAJLRLEU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Lei Chu, Qian Ai, Robert Qiu, Wentao Huang, Xing He","submitted_at":"2019-02-17T06:24:24Z","abstract_excerpt":"The Jacobian matrix is the core part of power flow analysis, which is the basis for power system planning and operations. This paper estimates the Jacobian matrix in high dimensional space. Firstly, theoretical analysis and model-based calculation of the Jacobian matrix are introduced to obtain the benchmark value. Then, the estimation algorithms based on least-squared errors and the deviation estimation based on the neural network are studied in detail, including the theories, equations, derivations, codes, advantages and disadvantages, and application scenes. The proposed algorithms are data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06211","kind":"arxiv","version":1},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:53:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DQPGk7FWQS5980HLKuUzNbaWF/THFybmLJBvTSgaPm1G8AcFoMLFZ8ZnugKwPqTMXyx3Hh4Mpeo76wiarL4lCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T01:03:41.939783Z"},"content_sha256":"e718e5fc571af0a5a07480c1581ea6f6d43952ea627acf61b2c4dcf8b4c2bb40","schema_version":"1.0","event_id":"sha256:e718e5fc571af0a5a07480c1581ea6f6d43952ea627acf61b2c4dcf8b4c2bb40"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU/bundle.json","state_url":"https://pith.science/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T01:03:41Z","links":{"resolver":"https://pith.science/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU","bundle":"https://pith.science/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU/bundle.json","state":"https://pith.science/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MCZ3FHDO6O4Z5QKU2AGAJLRLEU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MCZ3FHDO6O4Z5QKU2AGAJLRLEU","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":"6e4c339204b2fd7595af09aad360ba6c9f39d24ef4ec659c0d3caf8ca127443a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2019-02-17T06:24:24Z","title_canon_sha256":"e433b423c7d89da3da3e96dd162083d3390209bb9048552873ea1dfde3d78ebe"},"schema_version":"1.0","source":{"id":"1902.06211","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06211","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06211v1","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06211","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"pith_short_12","alias_value":"MCZ3FHDO6O4Z","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MCZ3FHDO6O4Z5QKU","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MCZ3FHDO","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:e718e5fc571af0a5a07480c1581ea6f6d43952ea627acf61b2c4dcf8b4c2bb40","target":"graph","created_at":"2026-05-17T23:53:46Z","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":"The Jacobian matrix is the core part of power flow analysis, which is the basis for power system planning and operations. This paper estimates the Jacobian matrix in high dimensional space. Firstly, theoretical analysis and model-based calculation of the Jacobian matrix are introduced to obtain the benchmark value. Then, the estimation algorithms based on least-squared errors and the deviation estimation based on the neural network are studied in detail, including the theories, equations, derivations, codes, advantages and disadvantages, and application scenes. The proposed algorithms are data","authors_text":"Lei Chu, Qian Ai, Robert Qiu, Wentao Huang, Xing He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2019-02-17T06:24:24Z","title":"Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06211","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":"sha256:089df9b5d1368a33e3dad4ee8e2429e64645c96ec1050210af0731e1868159a4","target":"record","created_at":"2026-05-17T23:53:46Z","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":"6e4c339204b2fd7595af09aad360ba6c9f39d24ef4ec659c0d3caf8ca127443a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2019-02-17T06:24:24Z","title_canon_sha256":"e433b423c7d89da3da3e96dd162083d3390209bb9048552873ea1dfde3d78ebe"},"schema_version":"1.0","source":{"id":"1902.06211","kind":"arxiv","version":1}},"canonical_sha256":"60b3b29c6ef3b99ec154d00c04ae2b25055e61eb3949b7d0edce9a2ed80df526","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60b3b29c6ef3b99ec154d00c04ae2b25055e61eb3949b7d0edce9a2ed80df526","first_computed_at":"2026-05-17T23:53:46.274407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:46.274407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r8jFDOwPrJ1xQND60VkhaT30kFTqYMxlYyUMsJnHivR6FbXhqPAtHBD3Qfc3diQ2ewd9bk5elyDhlO4s5Or2Aw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:46.274977Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.06211","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:089df9b5d1368a33e3dad4ee8e2429e64645c96ec1050210af0731e1868159a4","sha256:e718e5fc571af0a5a07480c1581ea6f6d43952ea627acf61b2c4dcf8b4c2bb40"],"state_sha256":"85ceb818455770cf3c6b9de7d96ddb3a8b0fc03343d430c3f8e90bcae2a28b39"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QY4jQCCSsDW+n3s1YYIeDlCziY5EwkjAeOFF+XTCysfPirRADQ6SOdGmFNRyOYqwCmY0AMv/r7e2j2gCEBHXBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T01:03:41.943551Z","bundle_sha256":"5384293f11a3e1aa60d6a2e01dad6f497074cc15fe8b119af2b782875ece54c4"}}