{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XMDALMD7P5HMQ6JGHC4VHWPT5S","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":"e05a56b956d4a12229fd33cf76fd414c112b474a60a733fa6bf7f937bc296439","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-04T14:43:31Z","title_canon_sha256":"ae0dc1783f764fecfb86423dd6eeb35242fabfe3e1b641acb2226c8ab2f32198"},"schema_version":"1.0","source":{"id":"2405.02678","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02678","created_at":"2026-07-05T08:27:48Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02678v3","created_at":"2026-07-05T08:27:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02678","created_at":"2026-07-05T08:27:48Z"},{"alias_kind":"pith_short_12","alias_value":"XMDALMD7P5HM","created_at":"2026-07-05T08:27:48Z"},{"alias_kind":"pith_short_16","alias_value":"XMDALMD7P5HMQ6JG","created_at":"2026-07-05T08:27:48Z"},{"alias_kind":"pith_short_8","alias_value":"XMDALMD7","created_at":"2026-07-05T08:27:48Z"}],"graph_snapshots":[{"event_id":"sha256:0c237a9196acf8976051234d698abf91337b1ba6a28911f327df400b29d8f5f7","target":"graph","created_at":"2026-07-05T08:27:48Z","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/2405.02678/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The current state of machine learning scholarship in Timeseries Anomaly Detection (TAD) is plagued by the persistent use of flawed evaluation metrics, inconsistent benchmarking practices, and a lack of proper justification for the choices made in novel deep learning-based model designs. Our paper presents a critical analysis of the status quo in TAD, revealing the misleading track of current research and highlighting problematic methods, and evaluation practices. Our position advocates for a shift in focus from solely pursuing novel model designs to improving benchmarking practices, creating n","authors_text":"Kunyu Peng, Lukas Layer, Marios Koulakis, Mei-Yen Chen, M. Saquib Sarfraz","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-04T14:43:31Z","title":"Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02678","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:d570232daab098948b203b5ba726a09e3d5f8c6136619a180a9f196cdc9089c9","target":"record","created_at":"2026-07-05T08:27:48Z","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":"e05a56b956d4a12229fd33cf76fd414c112b474a60a733fa6bf7f937bc296439","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-04T14:43:31Z","title_canon_sha256":"ae0dc1783f764fecfb86423dd6eeb35242fabfe3e1b641acb2226c8ab2f32198"},"schema_version":"1.0","source":{"id":"2405.02678","kind":"arxiv","version":3}},"canonical_sha256":"bb0605b07f7f4ec8792638b953d9f3eca753ded108e0532707722234f8a2d33d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb0605b07f7f4ec8792638b953d9f3eca753ded108e0532707722234f8a2d33d","first_computed_at":"2026-07-05T08:27:48.541891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:48.541891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MpGxO317XDvL4dYGwzejbz/yINbgV3u2OB1RLMr8biN3IiFWzisn7QBt1A4rhpONCTdX2EM5IOUD3VqYNyxUCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:48.542449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.02678","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d570232daab098948b203b5ba726a09e3d5f8c6136619a180a9f196cdc9089c9","sha256:0c237a9196acf8976051234d698abf91337b1ba6a28911f327df400b29d8f5f7"],"state_sha256":"e15dc426604df744fab891558feefc9dea8fea4aa5eb733ed4cd929af9922e30"}