{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:UK32TQCQD3DHDQMLTIZAL7WZFX","short_pith_number":"pith:UK32TQCQ","canonical_record":{"source":{"id":"2107.01849","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-07-05T08:07:08Z","cross_cats_sorted":[],"title_canon_sha256":"7ffca2800b22b2c42f04c25d49b3bf903778de4ec29bdf5afee671b53ab19b50","abstract_canon_sha256":"4b611a540c3928bb66e1736c3d67b537705993cde2e8843bf3616545c2289bf1"},"schema_version":"1.0"},"canonical_sha256":"a2b7a9c0501ec671c18b9a3205fed92dc64fd35162182a51998156f0b88a7e0a","source":{"kind":"arxiv","id":"2107.01849","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.01849","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"arxiv_version","alias_value":"2107.01849v2","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.01849","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"pith_short_12","alias_value":"UK32TQCQD3DH","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"pith_short_16","alias_value":"UK32TQCQD3DHDQML","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"pith_short_8","alias_value":"UK32TQCQ","created_at":"2026-07-05T03:33:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:UK32TQCQD3DHDQMLTIZAL7WZFX","target":"record","payload":{"canonical_record":{"source":{"id":"2107.01849","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-07-05T08:07:08Z","cross_cats_sorted":[],"title_canon_sha256":"7ffca2800b22b2c42f04c25d49b3bf903778de4ec29bdf5afee671b53ab19b50","abstract_canon_sha256":"4b611a540c3928bb66e1736c3d67b537705993cde2e8843bf3616545c2289bf1"},"schema_version":"1.0"},"canonical_sha256":"a2b7a9c0501ec671c18b9a3205fed92dc64fd35162182a51998156f0b88a7e0a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:33:06.612272Z","signature_b64":"f6+kXX7EH4lPqa0tiQ7v9QV392e/5k2t6zA4u8/F23cqxFx+tCV1D5leKVJ3db7jGibw4J9A7SVOZM9KeYOhBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2b7a9c0501ec671c18b9a3205fed92dc64fd35162182a51998156f0b88a7e0a","last_reissued_at":"2026-07-05T03:33:06.611578Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:33:06.611578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.01849","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:33:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zoZLGXlqK+BroBRU1twQVuLfWsoDJVFUUJJtj5r7gJ/rVEojWGzfk99YOuRHUh4CHE4nwLqtyLy7owrRR4B+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:44:23.399993Z"},"content_sha256":"450864c62c8c2c0e7c66f625cd51ff278ba7cfdcd4b7c7573b119cdc25025506","schema_version":"1.0","event_id":"sha256:450864c62c8c2c0e7c66f625cd51ff278ba7cfdcd4b7c7573b119cdc25025506"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:UK32TQCQD3DHDQMLTIZAL7WZFX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Cees Taal, Olga Fink, Qin Wang","submitted_at":"2021-07-05T08:07:08Z","abstract_excerpt":"Data-driven fault diagnosis methods often require abundant labeled examples for each fault type. On the contrary, real-world data is often unlabeled and consists of mostly healthy observations and only few samples of faulty conditions. The lack of labels and fault samples imposes a significant challenge for existing data-driven fault diagnosis methods. In this paper, we aim to overcome this limitation by integrating expert knowledge with domain adaptation in a synthetic-to-real framework for unsupervised fault diagnosis. Motivated by the fact that domain experts often have a relatively good un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.01849","kind":"arxiv","version":2},"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/2107.01849/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":"2026-07-05T03:33:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aA3jm3fk/l/IqpXpEBRblE7gMc5tj/FnTAX5QESWhbaK/b9F7MspAlDoNhSajU5qIi5i00yptxq96QckAu0tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:44:23.400503Z"},"content_sha256":"c2028923315ddcf5a55bad6f45d55f901d21c28fb307d4e59e622ca9f03f35e7","schema_version":"1.0","event_id":"sha256:c2028923315ddcf5a55bad6f45d55f901d21c28fb307d4e59e622ca9f03f35e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UK32TQCQD3DHDQMLTIZAL7WZFX/bundle.json","state_url":"https://pith.science/pith/UK32TQCQD3DHDQMLTIZAL7WZFX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UK32TQCQD3DHDQMLTIZAL7WZFX/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":"2026-07-07T02:44:23Z","links":{"resolver":"https://pith.science/pith/UK32TQCQD3DHDQMLTIZAL7WZFX","bundle":"https://pith.science/pith/UK32TQCQD3DHDQMLTIZAL7WZFX/bundle.json","state":"https://pith.science/pith/UK32TQCQD3DHDQMLTIZAL7WZFX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UK32TQCQD3DHDQMLTIZAL7WZFX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UK32TQCQD3DHDQMLTIZAL7WZFX","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":"4b611a540c3928bb66e1736c3d67b537705993cde2e8843bf3616545c2289bf1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-07-05T08:07:08Z","title_canon_sha256":"7ffca2800b22b2c42f04c25d49b3bf903778de4ec29bdf5afee671b53ab19b50"},"schema_version":"1.0","source":{"id":"2107.01849","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.01849","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"arxiv_version","alias_value":"2107.01849v2","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.01849","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"pith_short_12","alias_value":"UK32TQCQD3DH","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"pith_short_16","alias_value":"UK32TQCQD3DHDQML","created_at":"2026-07-05T03:33:06Z"},{"alias_kind":"pith_short_8","alias_value":"UK32TQCQ","created_at":"2026-07-05T03:33:06Z"}],"graph_snapshots":[{"event_id":"sha256:c2028923315ddcf5a55bad6f45d55f901d21c28fb307d4e59e622ca9f03f35e7","target":"graph","created_at":"2026-07-05T03:33:06Z","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/2107.01849/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-driven fault diagnosis methods often require abundant labeled examples for each fault type. On the contrary, real-world data is often unlabeled and consists of mostly healthy observations and only few samples of faulty conditions. The lack of labels and fault samples imposes a significant challenge for existing data-driven fault diagnosis methods. In this paper, we aim to overcome this limitation by integrating expert knowledge with domain adaptation in a synthetic-to-real framework for unsupervised fault diagnosis. Motivated by the fact that domain experts often have a relatively good un","authors_text":"Cees Taal, Olga Fink, Qin Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-07-05T08:07:08Z","title":"Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.01849","kind":"arxiv","version":2},"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":"sha256:450864c62c8c2c0e7c66f625cd51ff278ba7cfdcd4b7c7573b119cdc25025506","target":"record","created_at":"2026-07-05T03:33:06Z","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":"4b611a540c3928bb66e1736c3d67b537705993cde2e8843bf3616545c2289bf1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-07-05T08:07:08Z","title_canon_sha256":"7ffca2800b22b2c42f04c25d49b3bf903778de4ec29bdf5afee671b53ab19b50"},"schema_version":"1.0","source":{"id":"2107.01849","kind":"arxiv","version":2}},"canonical_sha256":"a2b7a9c0501ec671c18b9a3205fed92dc64fd35162182a51998156f0b88a7e0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2b7a9c0501ec671c18b9a3205fed92dc64fd35162182a51998156f0b88a7e0a","first_computed_at":"2026-07-05T03:33:06.611578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:33:06.611578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f6+kXX7EH4lPqa0tiQ7v9QV392e/5k2t6zA4u8/F23cqxFx+tCV1D5leKVJ3db7jGibw4J9A7SVOZM9KeYOhBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:33:06.612272Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.01849","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:450864c62c8c2c0e7c66f625cd51ff278ba7cfdcd4b7c7573b119cdc25025506","sha256:c2028923315ddcf5a55bad6f45d55f901d21c28fb307d4e59e622ca9f03f35e7"],"state_sha256":"dd33d9371d4da5006cb4b23b02867c8f20be4bc37339a3816428c01ccf86ed24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PXcp299t4aS8LSNr7YGb7HCRKV9LtCOpcORomKTMLKGVIIX81ja5rN6s9PO0qM80cMUMDDI1yYz6z+3tSG0HBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:44:23.402856Z","bundle_sha256":"56ba52e6094bb6149feae15287d1c47f8be776906d7dd5652c1ef44120d00b79"}}