{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PJCLN5XVOJK6RCDI4UMWXQTG2X","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":"fcdbda090fb3ae4908cdc2357d33715b2d636810594fa924a585b562c7e7a276","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-01T20:23:03Z","title_canon_sha256":"9df2a8a0ed93e64b1ff0a2165c2c583ab4317fa1eb263dbcab00cf3689c05731"},"schema_version":"1.0","source":{"id":"2502.00545","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00545","created_at":"2026-07-05T10:08:35Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00545v1","created_at":"2026-07-05T10:08:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00545","created_at":"2026-07-05T10:08:35Z"},{"alias_kind":"pith_short_12","alias_value":"PJCLN5XVOJK6","created_at":"2026-07-05T10:08:35Z"},{"alias_kind":"pith_short_16","alias_value":"PJCLN5XVOJK6RCDI","created_at":"2026-07-05T10:08:35Z"},{"alias_kind":"pith_short_8","alias_value":"PJCLN5XV","created_at":"2026-07-05T10:08:35Z"}],"graph_snapshots":[{"event_id":"sha256:4ff0f28ae9e5dcae677b6b994121037186f1b89dce6489a96fe3777e892a6c0d","target":"graph","created_at":"2026-07-05T10:08:35Z","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/2502.00545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent generalizable fault diagnosis researches have effectively tackled the distributional shift between unseen working conditions. Most of them mainly focus on learning domain-invariant representation through feature-level methods. However, the increasing numbers of unseen domains may lead to domain-invariant features contain instance-level spurious correlations, which impact the previous models' generalizable ability. To address the limitations, we propose the Fourier-based Augmentation Reconstruction Network, namely FARNet.The methods are motivated by the observation that the Fourier phase","authors_text":"Chenyu Ma, Hongyang Zhang, Qingyao Wu, Xiaotong Tu, Yinhao Liu","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-01T20:23:03Z","title":"Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00545","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:fc8dd15910495324cb5029108ec2452c1ccf2d0e5d19a55bca6af809f352ac3e","target":"record","created_at":"2026-07-05T10:08:35Z","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":"fcdbda090fb3ae4908cdc2357d33715b2d636810594fa924a585b562c7e7a276","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-01T20:23:03Z","title_canon_sha256":"9df2a8a0ed93e64b1ff0a2165c2c583ab4317fa1eb263dbcab00cf3689c05731"},"schema_version":"1.0","source":{"id":"2502.00545","kind":"arxiv","version":1}},"canonical_sha256":"7a44b6f6f57255e88868e5196bc266d5e3dc6262ce3c458c76dc71ffe3b1d99a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a44b6f6f57255e88868e5196bc266d5e3dc6262ce3c458c76dc71ffe3b1d99a","first_computed_at":"2026-07-05T10:08:35.201209Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:35.201209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OO7tA3/sqt5U4Y0mCggnhdNJF6sXB/hAWgpFp8kI4BZNqccKVVEtmbIiVekHQY+ywcBQErLAFb/ZyBewUa7WCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:35.201647Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00545","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc8dd15910495324cb5029108ec2452c1ccf2d0e5d19a55bca6af809f352ac3e","sha256:4ff0f28ae9e5dcae677b6b994121037186f1b89dce6489a96fe3777e892a6c0d"],"state_sha256":"659894e5c6eea43bafa5ea76d96a97667872851a6f754e9d8cd56c354d38c15f"}