{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KH5DOUPEDHLNG2EH3JZF5K3UOV","short_pith_number":"pith:KH5DOUPE","canonical_record":{"source":{"id":"2501.13474","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-01-23T08:46:35Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"814b8eaf4f60e4977001382b2a18ee1e06916b21d620e004bbac4d77a2e06207","abstract_canon_sha256":"5d21386c1e7ce9e054b80043f042f9256f40520650229259bb0265ebaa182ff9"},"schema_version":"1.0"},"canonical_sha256":"51fa3751e419d6d36887da725eab747556f4d8c32df86704460be3e41bc03d9c","source":{"kind":"arxiv","id":"2501.13474","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13474","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13474v1","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13474","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"KH5DOUPEDHLN","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"KH5DOUPEDHLNG2EH","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"KH5DOUPE","created_at":"2026-07-05T10:04:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KH5DOUPEDHLNG2EH3JZF5K3UOV","target":"record","payload":{"canonical_record":{"source":{"id":"2501.13474","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-01-23T08:46:35Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"814b8eaf4f60e4977001382b2a18ee1e06916b21d620e004bbac4d77a2e06207","abstract_canon_sha256":"5d21386c1e7ce9e054b80043f042f9256f40520650229259bb0265ebaa182ff9"},"schema_version":"1.0"},"canonical_sha256":"51fa3751e419d6d36887da725eab747556f4d8c32df86704460be3e41bc03d9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:04:29.203126Z","signature_b64":"x1mhVElcz4MfjDguP1x0QHJhElJAFKLWXoKtta1Vr65KeATLaANTxdWg78OdvuvaZggvGEW4FK4x9BI+j62/Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51fa3751e419d6d36887da725eab747556f4d8c32df86704460be3e41bc03d9c","last_reissued_at":"2026-07-05T10:04:29.202647Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:04:29.202647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.13474","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":"2026-07-05T10:04:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Lnb45fc5N8VxxhNfvfyv9vxIr68VMmPQYdnfvVhgjhK+0BonopSN/Hngg2qLgXryWPEnMFA798yyqY+sSUsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:43:03.578017Z"},"content_sha256":"e907bea03f73fa4241ea7f15f17ee55df291d398a987cf44d9ad3b47042ed6b7","schema_version":"1.0","event_id":"sha256:e907bea03f73fa4241ea7f15f17ee55df291d398a987cf44d9ad3b47042ed6b7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KH5DOUPEDHLNG2EH3JZF5K3UOV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Abdullatif Albaseer, Divine Okeke, Federico M. Ibanez, Ildar N. Idrisov, Mohamed Abdallah","submitted_at":"2025-01-23T08:46:35Z","abstract_excerpt":"Modern power grids are transitioning towards power electronics-dominated grids (PEDG) due to the increasing integration of renewable energy sources and energy storage systems. This shift introduces complexities in grid operation and increases vulnerability to cyberattacks. This research explores the application of digital twin (DT) technology and machine learning (ML) techniques for anomaly detection in PEDGs. A DT can accurately track and simulate the behavior of the physical grid in real-time, providing a platform for monitoring and analyzing grid operations, with extended amount of data abo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13474","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/2501.13474/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":"2026-07-05T10:04:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zW2gM70+qkT9xDN7LjWgrjjXuXqQLTIcaNL8+HE4l5nR9sPa6CZ6vQHGtBS0Q3f0Tu2PJ5N4FtxPKr1ET059Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:43:03.578430Z"},"content_sha256":"c3ef899691910a0cfcbe9ae51c8e7a564d984221af513d04f82dc539e17a3f14","schema_version":"1.0","event_id":"sha256:c3ef899691910a0cfcbe9ae51c8e7a564d984221af513d04f82dc539e17a3f14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV/bundle.json","state_url":"https://pith.science/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV/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":"2026-07-07T15:43:03Z","links":{"resolver":"https://pith.science/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV","bundle":"https://pith.science/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV/bundle.json","state":"https://pith.science/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KH5DOUPEDHLNG2EH3JZF5K3UOV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KH5DOUPEDHLNG2EH3JZF5K3UOV","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":"5d21386c1e7ce9e054b80043f042f9256f40520650229259bb0265ebaa182ff9","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-01-23T08:46:35Z","title_canon_sha256":"814b8eaf4f60e4977001382b2a18ee1e06916b21d620e004bbac4d77a2e06207"},"schema_version":"1.0","source":{"id":"2501.13474","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13474","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13474v1","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13474","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"KH5DOUPEDHLN","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"KH5DOUPEDHLNG2EH","created_at":"2026-07-05T10:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"KH5DOUPE","created_at":"2026-07-05T10:04:29Z"}],"graph_snapshots":[{"event_id":"sha256:c3ef899691910a0cfcbe9ae51c8e7a564d984221af513d04f82dc539e17a3f14","target":"graph","created_at":"2026-07-05T10:04:29Z","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/2501.13474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern power grids are transitioning towards power electronics-dominated grids (PEDG) due to the increasing integration of renewable energy sources and energy storage systems. This shift introduces complexities in grid operation and increases vulnerability to cyberattacks. This research explores the application of digital twin (DT) technology and machine learning (ML) techniques for anomaly detection in PEDGs. A DT can accurately track and simulate the behavior of the physical grid in real-time, providing a platform for monitoring and analyzing grid operations, with extended amount of data abo","authors_text":"Abdullatif Albaseer, Divine Okeke, Federico M. Ibanez, Ildar N. Idrisov, Mohamed Abdallah","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-01-23T08:46:35Z","title":"Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13474","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:e907bea03f73fa4241ea7f15f17ee55df291d398a987cf44d9ad3b47042ed6b7","target":"record","created_at":"2026-07-05T10:04:29Z","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":"5d21386c1e7ce9e054b80043f042f9256f40520650229259bb0265ebaa182ff9","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-01-23T08:46:35Z","title_canon_sha256":"814b8eaf4f60e4977001382b2a18ee1e06916b21d620e004bbac4d77a2e06207"},"schema_version":"1.0","source":{"id":"2501.13474","kind":"arxiv","version":1}},"canonical_sha256":"51fa3751e419d6d36887da725eab747556f4d8c32df86704460be3e41bc03d9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51fa3751e419d6d36887da725eab747556f4d8c32df86704460be3e41bc03d9c","first_computed_at":"2026-07-05T10:04:29.202647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:04:29.202647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x1mhVElcz4MfjDguP1x0QHJhElJAFKLWXoKtta1Vr65KeATLaANTxdWg78OdvuvaZggvGEW4FK4x9BI+j62/Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:04:29.203126Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.13474","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e907bea03f73fa4241ea7f15f17ee55df291d398a987cf44d9ad3b47042ed6b7","sha256:c3ef899691910a0cfcbe9ae51c8e7a564d984221af513d04f82dc539e17a3f14"],"state_sha256":"0c058a4d0e099efc3c7c0eae4f0a504919889c9ba6066254a86541f35a07b685"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t5qIQgAZuePxMZ3fa7L3IoTLnTgDSPEE7EAsXVLdKUz3ly0rgoQN0+0SpPoZ+986spZceVj1qCpJ8snuQWmoBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:43:03.580378Z","bundle_sha256":"8ca7b72dc36a6986f7c52b122fc732ad5546b9dfdcfa4e016a0bbc404af41937"}}