{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MQ6KVSUGYZIB6EC3GAP6OYAHZJ","short_pith_number":"pith:MQ6KVSUG","canonical_record":{"source":{"id":"1908.01078","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-08-02T22:05:55Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"daeaf767f393c669116c083f9384684d88b1911705658d5c71353a30bd646eb2","abstract_canon_sha256":"14da9fc19430e6950c5da3dff492eb18507c7ebd3098163a78326ef24533b0eb"},"schema_version":"1.0"},"canonical_sha256":"643caaca86c6501f105b301fe76007ca6630c7682dcba48de75dded9ada6b8e0","source":{"kind":"arxiv","id":"1908.01078","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.01078","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"arxiv_version","alias_value":"1908.01078v1","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01078","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"pith_short_12","alias_value":"MQ6KVSUGYZIB","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"pith_short_16","alias_value":"MQ6KVSUGYZIB6EC3","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"pith_short_8","alias_value":"MQ6KVSUG","created_at":"2026-07-04T23:51:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MQ6KVSUGYZIB6EC3GAP6OYAHZJ","target":"record","payload":{"canonical_record":{"source":{"id":"1908.01078","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-08-02T22:05:55Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"daeaf767f393c669116c083f9384684d88b1911705658d5c71353a30bd646eb2","abstract_canon_sha256":"14da9fc19430e6950c5da3dff492eb18507c7ebd3098163a78326ef24533b0eb"},"schema_version":"1.0"},"canonical_sha256":"643caaca86c6501f105b301fe76007ca6630c7682dcba48de75dded9ada6b8e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:51:27.054449Z","signature_b64":"yYlhCJP5SoB8FnKk48uahVt3SjRK5yVHxYGhqC/GJtcoLE0I/yNpUD6rqfIls8jrQQIQ/9ofRiNusgFo4Td1BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"643caaca86c6501f105b301fe76007ca6630c7682dcba48de75dded9ada6b8e0","last_reissued_at":"2026-07-04T23:51:27.054104Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:51:27.054104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.01078","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":"2026-07-04T23:51:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IqGMuzsN1SxMvWclGXL4ZWFUYzx92dE/GUZ/0WMJtJyZcyfL/NyL+wtxxTw2iKsnjuE/wIH7kUfqW3sWuJ3tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T13:09:43.068774Z"},"content_sha256":"11b38680cf421a4ed53c9be1e78ece7a95ef1293a73c55365819a336eff877a4","schema_version":"1.0","event_id":"sha256:11b38680cf421a4ed53c9be1e78ece7a95ef1293a73c55365819a336eff877a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MQ6KVSUGYZIB6EC3GAP6OYAHZJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Adrienn Dineva, Amir Mosavi, Istvan Vajda, Mate Gyimesi","submitted_at":"2019-08-02T22:05:55Z","abstract_excerpt":"Primary importance is devoted to Fault Detection and Diagnosis (FDI) of electrical machine and drive systems in modern industrial automation. The widespread use of Machine Learning techniques has made it possible to replace traditional motor fault detection techniques with more efficient solutions that are capable of early fault recognition by using large amounts of sensory data. However, the detection of concurrent failures is still a challenge in the presence of disturbing noises or when the multiple faults cause overlapping features. The contribution of this work is to propose a novel metho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01078","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/1908.01078/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":"2026-07-04T23:51:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PK/0DMGiN5dU4Emz80/UXUeioCWjY3XiceZ9TP8dSPlkFdpdczgBLGjkffI0HlN+JtWdhHLqdpA2/JfxdW9ECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T13:09:43.069485Z"},"content_sha256":"a488528f940386d5b6f2c8d02544df98275cbfc1e0a271299f3ca2fc9c24722d","schema_version":"1.0","event_id":"sha256:a488528f940386d5b6f2c8d02544df98275cbfc1e0a271299f3ca2fc9c24722d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ/bundle.json","state_url":"https://pith.science/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ/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":"2026-08-16T13:09:43Z","links":{"resolver":"https://pith.science/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ","bundle":"https://pith.science/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ/bundle.json","state":"https://pith.science/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MQ6KVSUGYZIB6EC3GAP6OYAHZJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MQ6KVSUGYZIB6EC3GAP6OYAHZJ","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":"14da9fc19430e6950c5da3dff492eb18507c7ebd3098163a78326ef24533b0eb","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-08-02T22:05:55Z","title_canon_sha256":"daeaf767f393c669116c083f9384684d88b1911705658d5c71353a30bd646eb2"},"schema_version":"1.0","source":{"id":"1908.01078","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.01078","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"arxiv_version","alias_value":"1908.01078v1","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01078","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"pith_short_12","alias_value":"MQ6KVSUGYZIB","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"pith_short_16","alias_value":"MQ6KVSUGYZIB6EC3","created_at":"2026-07-04T23:51:27Z"},{"alias_kind":"pith_short_8","alias_value":"MQ6KVSUG","created_at":"2026-07-04T23:51:27Z"}],"graph_snapshots":[{"event_id":"sha256:a488528f940386d5b6f2c8d02544df98275cbfc1e0a271299f3ca2fc9c24722d","target":"graph","created_at":"2026-07-04T23:51:27Z","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/1908.01078/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Primary importance is devoted to Fault Detection and Diagnosis (FDI) of electrical machine and drive systems in modern industrial automation. The widespread use of Machine Learning techniques has made it possible to replace traditional motor fault detection techniques with more efficient solutions that are capable of early fault recognition by using large amounts of sensory data. However, the detection of concurrent failures is still a challenge in the presence of disturbing noises or when the multiple faults cause overlapping features. The contribution of this work is to propose a novel metho","authors_text":"Adrienn Dineva, Amir Mosavi, Istvan Vajda, Mate Gyimesi","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-08-02T22:05:55Z","title":"Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01078","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":"sha256:11b38680cf421a4ed53c9be1e78ece7a95ef1293a73c55365819a336eff877a4","target":"record","created_at":"2026-07-04T23:51:27Z","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":"14da9fc19430e6950c5da3dff492eb18507c7ebd3098163a78326ef24533b0eb","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-08-02T22:05:55Z","title_canon_sha256":"daeaf767f393c669116c083f9384684d88b1911705658d5c71353a30bd646eb2"},"schema_version":"1.0","source":{"id":"1908.01078","kind":"arxiv","version":1}},"canonical_sha256":"643caaca86c6501f105b301fe76007ca6630c7682dcba48de75dded9ada6b8e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"643caaca86c6501f105b301fe76007ca6630c7682dcba48de75dded9ada6b8e0","first_computed_at":"2026-07-04T23:51:27.054104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:51:27.054104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yYlhCJP5SoB8FnKk48uahVt3SjRK5yVHxYGhqC/GJtcoLE0I/yNpUD6rqfIls8jrQQIQ/9ofRiNusgFo4Td1BQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:51:27.054449Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.01078","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11b38680cf421a4ed53c9be1e78ece7a95ef1293a73c55365819a336eff877a4","sha256:a488528f940386d5b6f2c8d02544df98275cbfc1e0a271299f3ca2fc9c24722d"],"state_sha256":"66646a8ef7952daf1f15a5ae5f9b0f53b7e715d62caf47026a2c93061cddc6c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/G4ZAUEczMDsWUBIgY6UVDZ22CpE7sUOn7ST4giWGQKN7zBUn5PSoYQw0WjuwLYxKrxdQvZdRC3a7ItET7z5AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T13:09:43.074567Z","bundle_sha256":"4482bbfd8903cf3d83a8f808d1f2d41e2ca763ca134bd26e8df4b27d9f90de2b"}}