{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JJSLZSGEBQJI2NM2EMLXIVDMWH","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":"6cf828622f46aac79348cc4a0092948f87a1a7092349fbc1bbe85e2c87f1ec35","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-29T05:01:40Z","title_canon_sha256":"3fb150079ac8587bd8c8166bef057f3b2abc029888283f34505620a2ab8a44f8"},"schema_version":"1.0","source":{"id":"2505.23097","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23097","created_at":"2026-07-05T11:11:55Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23097v1","created_at":"2026-07-05T11:11:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23097","created_at":"2026-07-05T11:11:55Z"},{"alias_kind":"pith_short_12","alias_value":"JJSLZSGEBQJI","created_at":"2026-07-05T11:11:55Z"},{"alias_kind":"pith_short_16","alias_value":"JJSLZSGEBQJI2NM2","created_at":"2026-07-05T11:11:55Z"},{"alias_kind":"pith_short_8","alias_value":"JJSLZSGE","created_at":"2026-07-05T11:11:55Z"}],"graph_snapshots":[{"event_id":"sha256:e42f80504284bce1eed67b4154157ba701b0918c7b7f1bd2af6ac69de4a9f2d2","target":"graph","created_at":"2026-07-05T11:11:55Z","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/2505.23097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In practical resource-constrained environments, efficiently extracting the potential high-frequency fault-critical information is an inherent problem. To overcome this problem, this work suggests leveraging a bi-residual neural network named Bi-ResNet to extract the inner spatial-temporal high-frequency features using embedded spatial-temporal convolution blocks and intra-link layers. It can be considered as embedding a high-frequency extractor into networks without adding any parameters, helping shallow networks achieve the performance of deep networks. In our experiments, five advanced CNN-b","authors_text":"Leena Heistrene, Qianchao Wang, Yaping Du, Yoash Levron, Yuxuan Ding","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-29T05:01:40Z","title":"Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23097","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":"sha256:24b3bcf4c874f70a0f333fa7b9cde99b410492a299ed227f927e581f869c1196","target":"record","created_at":"2026-07-05T11:11:55Z","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":"6cf828622f46aac79348cc4a0092948f87a1a7092349fbc1bbe85e2c87f1ec35","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-29T05:01:40Z","title_canon_sha256":"3fb150079ac8587bd8c8166bef057f3b2abc029888283f34505620a2ab8a44f8"},"schema_version":"1.0","source":{"id":"2505.23097","kind":"arxiv","version":1}},"canonical_sha256":"4a64bcc8c40c128d359a231774546cb1c0ace0acb4444d017df59df9875def62","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a64bcc8c40c128d359a231774546cb1c0ace0acb4444d017df59df9875def62","first_computed_at":"2026-07-05T11:11:55.438925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:55.438925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LALRxDkvBPGelv8UrRTWI/YwHPgKWhUEnIT+nh4sX/HWhrBRuDIfKrTXT3S5nMGSz+clhWkXAC9RMSeuCbhBBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:55.439456Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23097","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24b3bcf4c874f70a0f333fa7b9cde99b410492a299ed227f927e581f869c1196","sha256:e42f80504284bce1eed67b4154157ba701b0918c7b7f1bd2af6ac69de4a9f2d2"],"state_sha256":"034fbab3607e32e5ee4e03686ebced557718560dc010ca786b54b1984c6358b4"}