{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CJRAXP3XHJCOLFWTXEPJINXLBK","short_pith_number":"pith:CJRAXP3X","canonical_record":{"source":{"id":"2310.12967","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-19T17:58:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a5b445588fff7ae2ef54707d05fc584424374bb15d6a5f516ca1933d3d87e82e","abstract_canon_sha256":"c90b99171cf704c8fcedb50372b8e4d4b4248bac6f7f58fc5f0e4a0f82809c8b"},"schema_version":"1.0"},"canonical_sha256":"12620bbf773a44e596d3b91e9436eb0aa2ca7ee860f8c49119776ac76546b459","source":{"kind":"arxiv","id":"2310.12967","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12967","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12967v1","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12967","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"pith_short_12","alias_value":"CJRAXP3XHJCO","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"pith_short_16","alias_value":"CJRAXP3XHJCOLFWT","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"pith_short_8","alias_value":"CJRAXP3X","created_at":"2026-07-05T07:02:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CJRAXP3XHJCOLFWTXEPJINXLBK","target":"record","payload":{"canonical_record":{"source":{"id":"2310.12967","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-19T17:58:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a5b445588fff7ae2ef54707d05fc584424374bb15d6a5f516ca1933d3d87e82e","abstract_canon_sha256":"c90b99171cf704c8fcedb50372b8e4d4b4248bac6f7f58fc5f0e4a0f82809c8b"},"schema_version":"1.0"},"canonical_sha256":"12620bbf773a44e596d3b91e9436eb0aa2ca7ee860f8c49119776ac76546b459","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:02:45.020393Z","signature_b64":"obylSoL1HrLHzzoLLQrkda6eydV2O69ZJx1WnsYibY0fa7r9nSAzJYyBQDI/BP8jGXf5UL9zJg3a8oW3r+UWAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12620bbf773a44e596d3b91e9436eb0aa2ca7ee860f8c49119776ac76546b459","last_reissued_at":"2026-07-05T07:02:45.019924Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:02:45.019924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.12967","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":"2026-07-05T07:02:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hpdF0AaNpr06qWjGH9dd0St1BxmVUeZ9Q2F9naX6bs4l0WWm8LLPZCKAA5P3Jf+v+/3GXitQv6wc+bqy2lX/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:22:35.943466Z"},"content_sha256":"eb9a4bf938a9478de818b27a50a3f8ce3675bde6d0839e66aca50f2d9af1db29","schema_version":"1.0","event_id":"sha256:eb9a4bf938a9478de818b27a50a3f8ce3675bde6d0839e66aca50f2d9af1db29"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CJRAXP3XHJCOLFWTXEPJINXLBK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Michael Lebacher, Thomas Decker, Volker Tresp","submitted_at":"2023-10-19T17:58:11Z","abstract_excerpt":"Deep Learning has already been successfully applied to analyze industrial sensor data in a variety of relevant use cases. However, the opaque nature of many well-performing methods poses a major obstacle for real-world deployment. Explainable AI (XAI) and especially feature attribution techniques promise to enable insights about how such models form their decision. But the plain application of such methods often fails to provide truly informative and problem-specific insights to domain experts. In this work, we focus on the specific task of detecting faults in rolling element bearings from vib"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12967","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/2310.12967/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":"2026-07-05T07:02:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XpsPCkFDHXOp47x8B7vDKyuVaC2Z1vcvYhe+WS1bJDCL5IwiSYrAdm3QkI9Ja4tpEBnuZ63p1q1F1t0tf6DTAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:22:35.944485Z"},"content_sha256":"ae4920fb161d7cd1c4d20d747850fa9233a6cc65688cea6b659c177d9a6f12a5","schema_version":"1.0","event_id":"sha256:ae4920fb161d7cd1c4d20d747850fa9233a6cc65688cea6b659c177d9a6f12a5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CJRAXP3XHJCOLFWTXEPJINXLBK/bundle.json","state_url":"https://pith.science/pith/CJRAXP3XHJCOLFWTXEPJINXLBK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CJRAXP3XHJCOLFWTXEPJINXLBK/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":"2026-08-05T01:22:36Z","links":{"resolver":"https://pith.science/pith/CJRAXP3XHJCOLFWTXEPJINXLBK","bundle":"https://pith.science/pith/CJRAXP3XHJCOLFWTXEPJINXLBK/bundle.json","state":"https://pith.science/pith/CJRAXP3XHJCOLFWTXEPJINXLBK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CJRAXP3XHJCOLFWTXEPJINXLBK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CJRAXP3XHJCOLFWTXEPJINXLBK","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":"c90b99171cf704c8fcedb50372b8e4d4b4248bac6f7f58fc5f0e4a0f82809c8b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-19T17:58:11Z","title_canon_sha256":"a5b445588fff7ae2ef54707d05fc584424374bb15d6a5f516ca1933d3d87e82e"},"schema_version":"1.0","source":{"id":"2310.12967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12967","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12967v1","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12967","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"pith_short_12","alias_value":"CJRAXP3XHJCO","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"pith_short_16","alias_value":"CJRAXP3XHJCOLFWT","created_at":"2026-07-05T07:02:45Z"},{"alias_kind":"pith_short_8","alias_value":"CJRAXP3X","created_at":"2026-07-05T07:02:45Z"}],"graph_snapshots":[{"event_id":"sha256:ae4920fb161d7cd1c4d20d747850fa9233a6cc65688cea6b659c177d9a6f12a5","target":"graph","created_at":"2026-07-05T07:02:45Z","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/2310.12967/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Learning has already been successfully applied to analyze industrial sensor data in a variety of relevant use cases. However, the opaque nature of many well-performing methods poses a major obstacle for real-world deployment. Explainable AI (XAI) and especially feature attribution techniques promise to enable insights about how such models form their decision. But the plain application of such methods often fails to provide truly informative and problem-specific insights to domain experts. In this work, we focus on the specific task of detecting faults in rolling element bearings from vib","authors_text":"Michael Lebacher, Thomas Decker, Volker Tresp","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-19T17:58:11Z","title":"Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12967","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:eb9a4bf938a9478de818b27a50a3f8ce3675bde6d0839e66aca50f2d9af1db29","target":"record","created_at":"2026-07-05T07:02:45Z","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":"c90b99171cf704c8fcedb50372b8e4d4b4248bac6f7f58fc5f0e4a0f82809c8b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-19T17:58:11Z","title_canon_sha256":"a5b445588fff7ae2ef54707d05fc584424374bb15d6a5f516ca1933d3d87e82e"},"schema_version":"1.0","source":{"id":"2310.12967","kind":"arxiv","version":1}},"canonical_sha256":"12620bbf773a44e596d3b91e9436eb0aa2ca7ee860f8c49119776ac76546b459","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12620bbf773a44e596d3b91e9436eb0aa2ca7ee860f8c49119776ac76546b459","first_computed_at":"2026-07-05T07:02:45.019924Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:45.019924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"obylSoL1HrLHzzoLLQrkda6eydV2O69ZJx1WnsYibY0fa7r9nSAzJYyBQDI/BP8jGXf5UL9zJg3a8oW3r+UWAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:45.020393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.12967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb9a4bf938a9478de818b27a50a3f8ce3675bde6d0839e66aca50f2d9af1db29","sha256:ae4920fb161d7cd1c4d20d747850fa9233a6cc65688cea6b659c177d9a6f12a5"],"state_sha256":"44c8ab8f486a8f9f0bf37238d51509d0966c913beeedd2575c59e8820c782ced"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+sioGiTIsqvwzqRYsC3Bh7m9LeP87ZoAxNvwizG+32HHcoGtjRQmfeXXLTgyshSvykx4jnOI8iCZwXgd82zODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T01:22:36.004389Z","bundle_sha256":"58eb3d482d4b98cc82da5ac3a2f3846550795f5c4e809262f91bbe1567f66412"}}