{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:IL2LEFLFQZAPB7OYV4O2HUW3TL","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":"28f9db3a6184c370309a838e44370adc47c2bac00ccadd83b9b5065781aa75e4","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-11-21T21:01:38Z","title_canon_sha256":"36e3b50b9fa57e426b2354f3e66ea0de4a81d4b883394cee9d450af4b25a2963"},"schema_version":"1.0","source":{"id":"2111.10897","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.10897","created_at":"2026-07-05T03:33:58Z"},{"alias_kind":"arxiv_version","alias_value":"2111.10897v1","created_at":"2026-07-05T03:33:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.10897","created_at":"2026-07-05T03:33:58Z"},{"alias_kind":"pith_short_12","alias_value":"IL2LEFLFQZAP","created_at":"2026-07-05T03:33:58Z"},{"alias_kind":"pith_short_16","alias_value":"IL2LEFLFQZAPB7OY","created_at":"2026-07-05T03:33:58Z"},{"alias_kind":"pith_short_8","alias_value":"IL2LEFLF","created_at":"2026-07-05T03:33:58Z"}],"graph_snapshots":[{"event_id":"sha256:54c63c0a7bab569e37f60eff240bec9219a3d9c504f7cd8f9b15769d9ae84dc9","target":"graph","created_at":"2026-07-05T03:33:58Z","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/2111.10897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents an autoencoder based unsupervised approach to identify anomaly in an industrial machine using sounds produced by the machine. The proposed framework is trained using log-melspectrogram representations of the sound signal. In classification, our hypothesis is that the reconstruction error computed for an abnormal machine is larger than that of the a normal machine, since only normal machine sounds are being used to train the autoencoder. A threshold is chosen to discriminate between normal and abnormal machines. However, the threshold changes as surrounding conditions vary. ","authors_text":"Arshdeep Singh, Padmanabhan Rajan, Raju Arvind","cross_cats":["cs.AI","cs.LG","eess.AS","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-11-21T21:01:38Z","title":"Health Monitoring of Industrial machines using Scene-Aware Threshold Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.10897","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":"sha256:47b05a2661f862d16b37730f03ed82582cda6db9e269374d086c01ff80f44ecb","target":"record","created_at":"2026-07-05T03:33:58Z","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":"28f9db3a6184c370309a838e44370adc47c2bac00ccadd83b9b5065781aa75e4","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-11-21T21:01:38Z","title_canon_sha256":"36e3b50b9fa57e426b2354f3e66ea0de4a81d4b883394cee9d450af4b25a2963"},"schema_version":"1.0","source":{"id":"2111.10897","kind":"arxiv","version":1}},"canonical_sha256":"42f4b215658640f0fdd8af1da3d2db9ae3318c6a353a12460a1d842775833476","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42f4b215658640f0fdd8af1da3d2db9ae3318c6a353a12460a1d842775833476","first_computed_at":"2026-07-05T03:33:58.046030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:33:58.046030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"00D5w76xrSiiLFTKFDka/jkH3LfHb1j8llPrPuQ6lU8IGpQltCHHivx1pdTii9CXBWF93GBeccSZTLoDBcqlDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:33:58.046486Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.10897","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47b05a2661f862d16b37730f03ed82582cda6db9e269374d086c01ff80f44ecb","sha256:54c63c0a7bab569e37f60eff240bec9219a3d9c504f7cd8f9b15769d9ae84dc9"],"state_sha256":"74e2106caed6c7910fc3c98d1c19b920fb7eb5f2fdf52d35e9bd9cc93bcf9195"}