{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VRVEUFS47TNKO7MFQIOJNIBGXI","short_pith_number":"pith:VRVEUFS4","canonical_record":{"source":{"id":"2412.05957","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-12-08T14:30:21Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"550a4d55765f8ee1ae41e808fc9fed29c49ef2c13b9201c4a3d36c3a2e6981ba","abstract_canon_sha256":"3e972c5b233f4722c16eaaf6ac575d1b9a6d86939116d631cdffc811ad0326f8"},"schema_version":"1.0"},"canonical_sha256":"ac6a4a165cfcdaa77d85821c96a026ba231f4a437491b1dc418a62cea187a9a5","source":{"kind":"arxiv","id":"2412.05957","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05957","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05957v1","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05957","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_12","alias_value":"VRVEUFS47TNK","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_16","alias_value":"VRVEUFS47TNKO7MF","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_8","alias_value":"VRVEUFS4","created_at":"2026-07-05T09:46:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VRVEUFS47TNKO7MFQIOJNIBGXI","target":"record","payload":{"canonical_record":{"source":{"id":"2412.05957","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-12-08T14:30:21Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"550a4d55765f8ee1ae41e808fc9fed29c49ef2c13b9201c4a3d36c3a2e6981ba","abstract_canon_sha256":"3e972c5b233f4722c16eaaf6ac575d1b9a6d86939116d631cdffc811ad0326f8"},"schema_version":"1.0"},"canonical_sha256":"ac6a4a165cfcdaa77d85821c96a026ba231f4a437491b1dc418a62cea187a9a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:12.170191Z","signature_b64":"1YtMA38c0MGwf9JtoRe2hNaoEaxDQyIRj3JiC5b5JzE1UQcxcoWclvZySQd+j31r/cRUGSWvwZB6dG26Fk/9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac6a4a165cfcdaa77d85821c96a026ba231f4a437491b1dc418a62cea187a9a5","last_reissued_at":"2026-07-05T09:46:12.169805Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:12.169805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.05957","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":"2026-07-05T09:46:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4eYg73uhduumQ2RemitXZ0g266vypdL72HPEUsKAy8swDM0wvP4Cz1OJOaPD4ve6xf+XREdjNrD+2FjSXTo5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:56:48.548679Z"},"content_sha256":"783c59a43dd7bfc89fad0dd5768d10c6ec8fe0eb65b2ef145f44d7b6b78c1b30","schema_version":"1.0","event_id":"sha256:783c59a43dd7bfc89fad0dd5768d10c6ec8fe0eb65b2ef145f44d7b6b78c1b30"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VRVEUFS47TNKO7MFQIOJNIBGXI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Jian Ping, Jianzhong Wu, Xiaoyuan Xu, Yiyan Li, Zhenghao Zhou, Zheng Yan","submitted_at":"2024-12-08T14:30:21Z","abstract_excerpt":"Graph motif, defined as the microstructure that appears repeatedly in a large graph, reveals important topological characteristics of the large graph and has gained increasing attention in power system analysis regarding reliability, vulnerability and resiliency. However, searching motifs within the large-scale power system is extremely computationally challenging and even infeasible, which undermines the value of motif analysis in practice. In this paper, we introduce a two-stage AI-powered motif mining method to enable efficient and wide-range motif analysis in power systems. In the first st"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05957","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.05957/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T09:46:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IzM71YvFN0nkbcWjlwL5Drwl6o+fedrFgvD3LsxlESU9+hELt0uR3t8H0/0MXcKaiMI2UyiOma/brnQlSahoBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:56:48.549270Z"},"content_sha256":"6ee44999f940f6243c71b00a7c03fa80acd968ff785b5192bbb82f0fe6fa97e5","schema_version":"1.0","event_id":"sha256:6ee44999f940f6243c71b00a7c03fa80acd968ff785b5192bbb82f0fe6fa97e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VRVEUFS47TNKO7MFQIOJNIBGXI/bundle.json","state_url":"https://pith.science/pith/VRVEUFS47TNKO7MFQIOJNIBGXI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VRVEUFS47TNKO7MFQIOJNIBGXI/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":"2026-07-09T05:56:48Z","links":{"resolver":"https://pith.science/pith/VRVEUFS47TNKO7MFQIOJNIBGXI","bundle":"https://pith.science/pith/VRVEUFS47TNKO7MFQIOJNIBGXI/bundle.json","state":"https://pith.science/pith/VRVEUFS47TNKO7MFQIOJNIBGXI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VRVEUFS47TNKO7MFQIOJNIBGXI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VRVEUFS47TNKO7MFQIOJNIBGXI","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":"3e972c5b233f4722c16eaaf6ac575d1b9a6d86939116d631cdffc811ad0326f8","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-12-08T14:30:21Z","title_canon_sha256":"550a4d55765f8ee1ae41e808fc9fed29c49ef2c13b9201c4a3d36c3a2e6981ba"},"schema_version":"1.0","source":{"id":"2412.05957","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05957","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05957v1","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05957","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_12","alias_value":"VRVEUFS47TNK","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_16","alias_value":"VRVEUFS47TNKO7MF","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_8","alias_value":"VRVEUFS4","created_at":"2026-07-05T09:46:12Z"}],"graph_snapshots":[{"event_id":"sha256:6ee44999f940f6243c71b00a7c03fa80acd968ff785b5192bbb82f0fe6fa97e5","target":"graph","created_at":"2026-07-05T09:46:12Z","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/2412.05957/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph motif, defined as the microstructure that appears repeatedly in a large graph, reveals important topological characteristics of the large graph and has gained increasing attention in power system analysis regarding reliability, vulnerability and resiliency. However, searching motifs within the large-scale power system is extremely computationally challenging and even infeasible, which undermines the value of motif analysis in practice. In this paper, we introduce a two-stage AI-powered motif mining method to enable efficient and wide-range motif analysis in power systems. In the first st","authors_text":"Jian Ping, Jianzhong Wu, Xiaoyuan Xu, Yiyan Li, Zhenghao Zhou, Zheng Yan","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-12-08T14:30:21Z","title":"A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05957","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":"sha256:783c59a43dd7bfc89fad0dd5768d10c6ec8fe0eb65b2ef145f44d7b6b78c1b30","target":"record","created_at":"2026-07-05T09:46:12Z","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":"3e972c5b233f4722c16eaaf6ac575d1b9a6d86939116d631cdffc811ad0326f8","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-12-08T14:30:21Z","title_canon_sha256":"550a4d55765f8ee1ae41e808fc9fed29c49ef2c13b9201c4a3d36c3a2e6981ba"},"schema_version":"1.0","source":{"id":"2412.05957","kind":"arxiv","version":1}},"canonical_sha256":"ac6a4a165cfcdaa77d85821c96a026ba231f4a437491b1dc418a62cea187a9a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac6a4a165cfcdaa77d85821c96a026ba231f4a437491b1dc418a62cea187a9a5","first_computed_at":"2026-07-05T09:46:12.169805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:12.169805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1YtMA38c0MGwf9JtoRe2hNaoEaxDQyIRj3JiC5b5JzE1UQcxcoWclvZySQd+j31r/cRUGSWvwZB6dG26Fk/9Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:12.170191Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.05957","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:783c59a43dd7bfc89fad0dd5768d10c6ec8fe0eb65b2ef145f44d7b6b78c1b30","sha256:6ee44999f940f6243c71b00a7c03fa80acd968ff785b5192bbb82f0fe6fa97e5"],"state_sha256":"53d9eb39c16f36d2ff125f50fd41db16ad10feb6a31a1f3ef9a194933a2b3c84"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e1rYzfPDXvVpBwi/Jq00vLZLn6ZtfHxPgpvqQK/BakykTyWfo1ej16XKNJqHoBiL/oBVNIuWT/MLSkrEBAnNCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:56:48.552001Z","bundle_sha256":"3e1ef0321c327772d7eee06a187679aa264e5b7479f9a5a3b0758e9d1eab210c"}}