{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CL6AOOAYTEEOJW3RRONOUZ5Q7S","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":"05f310f7a27a05eef275b32bec9cc8b1879b32e95459dfe528780ca4b6b69784","cross_cats_sorted":["cs.AI","cs.CV","cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-16T17:54:51Z","title_canon_sha256":"136526c8a3bb0e155abd81f5325ffada90f96bf8d25cd59928296de5a2f8d7d7"},"schema_version":"1.0","source":{"id":"2409.10594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.10594","created_at":"2026-07-05T09:07:53Z"},{"alias_kind":"arxiv_version","alias_value":"2409.10594v1","created_at":"2026-07-05T09:07:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.10594","created_at":"2026-07-05T09:07:53Z"},{"alias_kind":"pith_short_12","alias_value":"CL6AOOAYTEEO","created_at":"2026-07-05T09:07:53Z"},{"alias_kind":"pith_short_16","alias_value":"CL6AOOAYTEEOJW3R","created_at":"2026-07-05T09:07:53Z"},{"alias_kind":"pith_short_8","alias_value":"CL6AOOAY","created_at":"2026-07-05T09:07:53Z"}],"graph_snapshots":[{"event_id":"sha256:99c5b5b6b4ba72ee73cb7760dbc86c178c1b536bdee100dc1b7c037f837aaa6b","target":"graph","created_at":"2026-07-05T09:07:53Z","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/2409.10594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers stand as the cornerstone of mordern deep learning. Traditionally, these models rely on multi-layer perceptron (MLP) layers to mix the information between channels. In this paper, we introduce the Kolmogorov-Arnold Transformer (KAT), a novel architecture that replaces MLP layers with Kolmogorov-Arnold Network (KAN) layers to enhance the expressiveness and performance of the model. Integrating KANs into transformers, however, is no easy feat, especially when scaled up. Specifically, we identify three key challenges: (C1) Base function. The standard B-spline function used in KANs is ","authors_text":"Xinchao Wang, Xingyi Yang","cross_cats":["cs.AI","cs.CV","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.10594","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":"sha256:72f950c654fe2c0d2a2199d7d5710190bf35fe8f7f4eaa1cea60312a1d11d63e","target":"record","created_at":"2026-07-05T09:07:53Z","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":"05f310f7a27a05eef275b32bec9cc8b1879b32e95459dfe528780ca4b6b69784","cross_cats_sorted":["cs.AI","cs.CV","cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-16T17:54:51Z","title_canon_sha256":"136526c8a3bb0e155abd81f5325ffada90f96bf8d25cd59928296de5a2f8d7d7"},"schema_version":"1.0","source":{"id":"2409.10594","kind":"arxiv","version":1}},"canonical_sha256":"12fc0738189908e4db718b9aea67b0fca59ce1382f08e543396bc1b2ddbe6f90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12fc0738189908e4db718b9aea67b0fca59ce1382f08e543396bc1b2ddbe6f90","first_computed_at":"2026-07-05T09:07:53.515141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:07:53.515141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fe4bJ8aj+yBtN88ZzzZEVgNbQDKRfYR13BRiQD08eHmA8GEzVU51Fshn+ZnWmWwvEXC03sRAfb9DUKRc5Jd8BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:07:53.515689Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.10594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72f950c654fe2c0d2a2199d7d5710190bf35fe8f7f4eaa1cea60312a1d11d63e","sha256:99c5b5b6b4ba72ee73cb7760dbc86c178c1b536bdee100dc1b7c037f837aaa6b"],"state_sha256":"589dc2dfd1dac29b357bca7d3f9d5fe693cc6933209c711dd2a54b006c864911"}