{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MD2WYLBS56NXCS44RK3RT37OEK","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":"db8335398842b51703362d75810b2db7381d035e1fd17618bd12737e806e0fad","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-14T06:15:55Z","title_canon_sha256":"0ac971427acd67f925ce1a73ce164504cd776e1821de0ccd66c1fd157616f770"},"schema_version":"1.0","source":{"id":"2408.07314","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07314","created_at":"2026-07-05T09:05:38Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07314v3","created_at":"2026-07-05T09:05:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07314","created_at":"2026-07-05T09:05:38Z"},{"alias_kind":"pith_short_12","alias_value":"MD2WYLBS56NX","created_at":"2026-07-05T09:05:38Z"},{"alias_kind":"pith_short_16","alias_value":"MD2WYLBS56NXCS44","created_at":"2026-07-05T09:05:38Z"},{"alias_kind":"pith_short_8","alias_value":"MD2WYLBS","created_at":"2026-07-05T09:05:38Z"}],"graph_snapshots":[{"event_id":"sha256:e2384a9367863e31f47476856abfcdc43c929f68cb641cb7ce2f9e8abb288c6f","target":"graph","created_at":"2026-07-05T09:05:38Z","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/2408.07314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Kolmogorov-Arnold Networks (KAN) has recently attracted significant attention as a promising alternative to traditional Multi-Layer Perceptrons (MLP). Despite their theoretical appeal, KAN require validation on large-scale benchmark datasets. Time series data, which has become increasingly prevalent in recent years, especially univariate time series are naturally suited for validating KAN. Therefore, we conducted a fair comparison among KAN, MLP, and mixed structures. The results indicate that KAN can achieve performance comparable to, or even slightly better than, MLP across 128 time series d","authors_text":"Chang Dong, Liangwei Zheng, Weitong Chen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-14T06:15:55Z","title":"Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07314","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":"sha256:567da738f55685b6c41177907b7fda8ca9e60e2c3b526d1cb60941ce36bb4e65","target":"record","created_at":"2026-07-05T09:05:38Z","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":"db8335398842b51703362d75810b2db7381d035e1fd17618bd12737e806e0fad","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-14T06:15:55Z","title_canon_sha256":"0ac971427acd67f925ce1a73ce164504cd776e1821de0ccd66c1fd157616f770"},"schema_version":"1.0","source":{"id":"2408.07314","kind":"arxiv","version":3}},"canonical_sha256":"60f56c2c32ef9b714b9c8ab719efee229b5f50ddf7d5d710494af91a4bdb8913","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60f56c2c32ef9b714b9c8ab719efee229b5f50ddf7d5d710494af91a4bdb8913","first_computed_at":"2026-07-05T09:05:38.043844Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:38.043844Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PrOciwATIpnvOlPvTUc/a/GpF4FgXsTxwqH/2/8sLvZaDBmqi258U7oV+Oms7xdxY3/oX2wQD8nOqdu9vQfBCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:38.044335Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.07314","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:567da738f55685b6c41177907b7fda8ca9e60e2c3b526d1cb60941ce36bb4e65","sha256:e2384a9367863e31f47476856abfcdc43c929f68cb641cb7ce2f9e8abb288c6f"],"state_sha256":"c733dd6c298867dfdcc556a7dae8482d6c2c5c15355f81bd0da9a669ad21c788"}