{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:NZRXPY4UGLRKKFAAO7YDGSN346","short_pith_number":"pith:NZRXPY4U","canonical_record":{"source":{"id":"1812.09178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-20T17:15:18Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"92ba4ec23992c4083549faff200c23d4697ec01c7162c418256f446f439899d4","abstract_canon_sha256":"34e18344be1ebeaf63215dfcadae876c6f4227fa451fec4e565144b671dc3d8c"},"schema_version":"1.0"},"canonical_sha256":"6e6377e39432e2a5140077f03349bbe7b5616ce2124979817649f74d2319898e","source":{"kind":"arxiv","id":"1812.09178","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.09178","created_at":"2026-05-17T23:57:45Z"},{"alias_kind":"arxiv_version","alias_value":"1812.09178v1","created_at":"2026-05-17T23:57:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.09178","created_at":"2026-05-17T23:57:45Z"},{"alias_kind":"pith_short_12","alias_value":"NZRXPY4UGLRK","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NZRXPY4UGLRKKFAA","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NZRXPY4U","created_at":"2026-05-18T12:32:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:NZRXPY4UGLRKKFAAO7YDGSN346","target":"record","payload":{"canonical_record":{"source":{"id":"1812.09178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-20T17:15:18Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"92ba4ec23992c4083549faff200c23d4697ec01c7162c418256f446f439899d4","abstract_canon_sha256":"34e18344be1ebeaf63215dfcadae876c6f4227fa451fec4e565144b671dc3d8c"},"schema_version":"1.0"},"canonical_sha256":"6e6377e39432e2a5140077f03349bbe7b5616ce2124979817649f74d2319898e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:45.143667Z","signature_b64":"0pAdl6Wk35d2WDu85qT04wL4BDJ34sg+DioX0BtBWRjeft4sa/crnl3x4ypZnBmAMK71LnsqcxxQuPBYJnVuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e6377e39432e2a5140077f03349bbe7b5616ce2124979817649f74d2319898e","last_reissued_at":"2026-05-17T23:57:45.143067Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:45.143067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.09178","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":"2026-05-17T23:57:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"44w+OmbmBoOL0sDEvagAFMJnbR01Xcho5h5oBQEFIRwGYljZKdePzj3/apqZfB0UeCnor77ypLSVAUIRZoFxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:37:04.677014Z"},"content_sha256":"4c17880a42e042c6f0a94388c4d15f48a6f17dd42d829189db287034c9afad57","schema_version":"1.0","event_id":"sha256:4c17880a42e042c6f0a94388c4d15f48a6f17dd42d829189db287034c9afad57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:NZRXPY4UGLRKKFAAO7YDGSN346","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.ML"],"primary_cat":"cs.LG","authors_text":"Andrew Parnell, Eamonn Ahearne, Szymon Baron, Yuanzhi Huang","submitted_at":"2018-12-20T17:15:18Z","abstract_excerpt":"We examined the use of three conventional anomaly detection methods and assess their potential for on-line tool wear monitoring. Through efficient data processing and transformation of the algorithm proposed here, in a real-time environment, these methods were tested for fast evaluation of cutting tools on CNC machines. The three-dimensional force data streams we used were extracted from a turning experiment of 21 runs for which a tool was run until it generally satisfied an end-of-life criterion. Our real-time anomaly detection algorithm was scored and optimised according to how precisely it "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.09178","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":""},"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":"2026-05-17T23:57:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ug3FAtdy1feZfY1LcWMJigiYAIU80z/RwEabGKxGLB4PhVBsp6btd5hX41jQ8H6+k7NIFkn1v0eIeLKQh2x4Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:37:04.677380Z"},"content_sha256":"4f19b7e02238f451a86f15ba7c1a6a071ea7c1d5c3920fb1ebef738094f3a679","schema_version":"1.0","event_id":"sha256:4f19b7e02238f451a86f15ba7c1a6a071ea7c1d5c3920fb1ebef738094f3a679"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NZRXPY4UGLRKKFAAO7YDGSN346/bundle.json","state_url":"https://pith.science/pith/NZRXPY4UGLRKKFAAO7YDGSN346/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NZRXPY4UGLRKKFAAO7YDGSN346/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":"2026-06-03T08:37:04Z","links":{"resolver":"https://pith.science/pith/NZRXPY4UGLRKKFAAO7YDGSN346","bundle":"https://pith.science/pith/NZRXPY4UGLRKKFAAO7YDGSN346/bundle.json","state":"https://pith.science/pith/NZRXPY4UGLRKKFAAO7YDGSN346/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NZRXPY4UGLRKKFAAO7YDGSN346/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NZRXPY4UGLRKKFAAO7YDGSN346","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":"34e18344be1ebeaf63215dfcadae876c6f4227fa451fec4e565144b671dc3d8c","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-20T17:15:18Z","title_canon_sha256":"92ba4ec23992c4083549faff200c23d4697ec01c7162c418256f446f439899d4"},"schema_version":"1.0","source":{"id":"1812.09178","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.09178","created_at":"2026-05-17T23:57:45Z"},{"alias_kind":"arxiv_version","alias_value":"1812.09178v1","created_at":"2026-05-17T23:57:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.09178","created_at":"2026-05-17T23:57:45Z"},{"alias_kind":"pith_short_12","alias_value":"NZRXPY4UGLRK","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NZRXPY4UGLRKKFAA","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NZRXPY4U","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:4f19b7e02238f451a86f15ba7c1a6a071ea7c1d5c3920fb1ebef738094f3a679","target":"graph","created_at":"2026-05-17T23:57:45Z","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"},"paper":{"abstract_excerpt":"We examined the use of three conventional anomaly detection methods and assess their potential for on-line tool wear monitoring. Through efficient data processing and transformation of the algorithm proposed here, in a real-time environment, these methods were tested for fast evaluation of cutting tools on CNC machines. The three-dimensional force data streams we used were extracted from a turning experiment of 21 runs for which a tool was run until it generally satisfied an end-of-life criterion. Our real-time anomaly detection algorithm was scored and optimised according to how precisely it ","authors_text":"Andrew Parnell, Eamonn Ahearne, Szymon Baron, Yuanzhi Huang","cross_cats":["stat.AP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-20T17:15:18Z","title":"An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.09178","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":"sha256:4c17880a42e042c6f0a94388c4d15f48a6f17dd42d829189db287034c9afad57","target":"record","created_at":"2026-05-17T23:57:45Z","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":"34e18344be1ebeaf63215dfcadae876c6f4227fa451fec4e565144b671dc3d8c","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-20T17:15:18Z","title_canon_sha256":"92ba4ec23992c4083549faff200c23d4697ec01c7162c418256f446f439899d4"},"schema_version":"1.0","source":{"id":"1812.09178","kind":"arxiv","version":1}},"canonical_sha256":"6e6377e39432e2a5140077f03349bbe7b5616ce2124979817649f74d2319898e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e6377e39432e2a5140077f03349bbe7b5616ce2124979817649f74d2319898e","first_computed_at":"2026-05-17T23:57:45.143067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:45.143067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0pAdl6Wk35d2WDu85qT04wL4BDJ34sg+DioX0BtBWRjeft4sa/crnl3x4ypZnBmAMK71LnsqcxxQuPBYJnVuAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:45.143667Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.09178","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c17880a42e042c6f0a94388c4d15f48a6f17dd42d829189db287034c9afad57","sha256:4f19b7e02238f451a86f15ba7c1a6a071ea7c1d5c3920fb1ebef738094f3a679"],"state_sha256":"3f723bfca677f38f121b7d730f4d7f5b5e9e8a416c27dc0b54c91aa617183ca1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5keovDdYRIR4J3jVnlS8hRidSUoEsvvrEDUaKu8AUjatO4RRwnPSomQCZhuKJFNQ8lgYD6qz2RekqP3hu8vLAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T08:37:04.679400Z","bundle_sha256":"71036401f7608301305458f0969082badd09d920795725748c314698eb22528d"}}