{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:F2XYAXRTGK3FHBCPYLGAQBLGSG","short_pith_number":"pith:F2XYAXRT","canonical_record":{"source":{"id":"2401.10266","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-03T21:35:03Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SP","eess.SY"],"title_canon_sha256":"eea102ab926103b3a546b9090bb868dc125d9558879a29acbf42bd070686a341","abstract_canon_sha256":"9b1a747e438de16768d428c258d1a253a72e3e3a52637913bee779c240b2a475"},"schema_version":"1.0"},"canonical_sha256":"2eaf805e3332b653844fc2cc080566918600ea084b5eacfcf2742f75825b9e69","source":{"kind":"arxiv","id":"2401.10266","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10266","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10266v3","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10266","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"F2XYAXRTGK3F","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"F2XYAXRTGK3FHBCP","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"F2XYAXRT","created_at":"2026-07-05T11:57:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:F2XYAXRTGK3FHBCPYLGAQBLGSG","target":"record","payload":{"canonical_record":{"source":{"id":"2401.10266","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-03T21:35:03Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SP","eess.SY"],"title_canon_sha256":"eea102ab926103b3a546b9090bb868dc125d9558879a29acbf42bd070686a341","abstract_canon_sha256":"9b1a747e438de16768d428c258d1a253a72e3e3a52637913bee779c240b2a475"},"schema_version":"1.0"},"canonical_sha256":"2eaf805e3332b653844fc2cc080566918600ea084b5eacfcf2742f75825b9e69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:52.266437Z","signature_b64":"ZFFjLI48DNXWjsWS1/8YvvoqAQNK9rV91rUOQws116mg10499RPGcPaydlg2/zw6HaX3UY73IJwwGvlVPXF6CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2eaf805e3332b653844fc2cc080566918600ea084b5eacfcf2742f75825b9e69","last_reissued_at":"2026-07-05T11:57:52.265952Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:52.265952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.10266","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:57:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cjrRgtWd4qQjLHykIqX4bEs9GFLvPr+U9qKHAVroKYv+iJXNAV49SsEeCfbeL+p505nblynnaHgbD4nVylQMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:26:00.825865Z"},"content_sha256":"69bd54f9714fdaef04bdc6b586812121556823b799d6fcfd1e6a5617dc707319","schema_version":"1.0","event_id":"sha256:69bd54f9714fdaef04bdc6b586812121556823b799d6fcfd1e6a5617dc707319"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:F2XYAXRTGK3FHBCPYLGAQBLGSG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.SY","eess.SP","eess.SY"],"primary_cat":"cs.LG","authors_text":"Homayoun Najjaran, Maryam Ahang, Maziyar Khadivi, Mostafa Abbasi, Oluwaseyi Ogunfowora, Todd Charter","submitted_at":"2024-01-03T21:35:03Z","abstract_excerpt":"Condition monitoring is essential for ensuring the safety, reliability, and efficiency of modern industrial systems. With the increasing complexity of industrial processes, artificial intelligence (AI) has emerged as a powerful tool for fault detection and diagnosis, attracting growing interest from both academia and industry. This paper provides a comprehensive overview of intelligent condition monitoring methods, with a particular emphasis on chemical plants and the widely used Tennessee Eastman Process (TEP) benchmark. State-of-the-art machine learning (ML) and deep learning (DL) algorithms"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10266","kind":"arxiv","version":3},"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/2401.10266/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":"2026-07-05T11:57:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WSKGFYdy63F6p0YhNkjRogE5dM+HrbeKiPezc0eHwEU0xW8ynvM4A4gqAechBLVNnK0e0SzZY9gRDIqei87QAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:26:00.826474Z"},"content_sha256":"5293c8588bd6c64590f26b92d585c41193baa2cbd7eeb362ac044f46fb050bbe","schema_version":"1.0","event_id":"sha256:5293c8588bd6c64590f26b92d585c41193baa2cbd7eeb362ac044f46fb050bbe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG/bundle.json","state_url":"https://pith.science/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG/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":"2026-08-21T03:26:00Z","links":{"resolver":"https://pith.science/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG","bundle":"https://pith.science/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG/bundle.json","state":"https://pith.science/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F2XYAXRTGK3FHBCPYLGAQBLGSG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F2XYAXRTGK3FHBCPYLGAQBLGSG","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":"9b1a747e438de16768d428c258d1a253a72e3e3a52637913bee779c240b2a475","cross_cats_sorted":["cs.AI","cs.SY","eess.SP","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-03T21:35:03Z","title_canon_sha256":"eea102ab926103b3a546b9090bb868dc125d9558879a29acbf42bd070686a341"},"schema_version":"1.0","source":{"id":"2401.10266","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10266","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10266v3","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10266","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"F2XYAXRTGK3F","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"F2XYAXRTGK3FHBCP","created_at":"2026-07-05T11:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"F2XYAXRT","created_at":"2026-07-05T11:57:52Z"}],"graph_snapshots":[{"event_id":"sha256:5293c8588bd6c64590f26b92d585c41193baa2cbd7eeb362ac044f46fb050bbe","target":"graph","created_at":"2026-07-05T11:57:52Z","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/2401.10266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Condition monitoring is essential for ensuring the safety, reliability, and efficiency of modern industrial systems. With the increasing complexity of industrial processes, artificial intelligence (AI) has emerged as a powerful tool for fault detection and diagnosis, attracting growing interest from both academia and industry. This paper provides a comprehensive overview of intelligent condition monitoring methods, with a particular emphasis on chemical plants and the widely used Tennessee Eastman Process (TEP) benchmark. State-of-the-art machine learning (ML) and deep learning (DL) algorithms","authors_text":"Homayoun Najjaran, Maryam Ahang, Maziyar Khadivi, Mostafa Abbasi, Oluwaseyi Ogunfowora, Todd Charter","cross_cats":["cs.AI","cs.SY","eess.SP","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-03T21:35:03Z","title":"Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10266","kind":"arxiv","version":3},"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":"sha256:69bd54f9714fdaef04bdc6b586812121556823b799d6fcfd1e6a5617dc707319","target":"record","created_at":"2026-07-05T11:57:52Z","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":"9b1a747e438de16768d428c258d1a253a72e3e3a52637913bee779c240b2a475","cross_cats_sorted":["cs.AI","cs.SY","eess.SP","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-03T21:35:03Z","title_canon_sha256":"eea102ab926103b3a546b9090bb868dc125d9558879a29acbf42bd070686a341"},"schema_version":"1.0","source":{"id":"2401.10266","kind":"arxiv","version":3}},"canonical_sha256":"2eaf805e3332b653844fc2cc080566918600ea084b5eacfcf2742f75825b9e69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2eaf805e3332b653844fc2cc080566918600ea084b5eacfcf2742f75825b9e69","first_computed_at":"2026-07-05T11:57:52.265952Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:52.265952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZFFjLI48DNXWjsWS1/8YvvoqAQNK9rV91rUOQws116mg10499RPGcPaydlg2/zw6HaX3UY73IJwwGvlVPXF6CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:52.266437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.10266","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69bd54f9714fdaef04bdc6b586812121556823b799d6fcfd1e6a5617dc707319","sha256:5293c8588bd6c64590f26b92d585c41193baa2cbd7eeb362ac044f46fb050bbe"],"state_sha256":"e7e8b067cef4c5dc524cc184d31e44bef933a9f2582f1d87d00a14928cb629a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vyhoTuWcZLpHgBBhndTlKNkYs2VT25M+FxnFzhYwRRBkXRpmErBoFIzdWhqK62dngCVkVkFfjrkCRAJKTMdOCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:26:00.831655Z","bundle_sha256":"9b7a069d93fa888f235e393ff384dc8d74be71d806148d393483ae8d2f0c3e07"}}