{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VCLZ7PJDKUJVCHZZGRZT36TZVN","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":"a157153beca05c4333391f221627661a713fb648386f1f69c2105bbb1d9f36cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-13T03:07:39Z","title_canon_sha256":"86e4f3152a27ce206d6715bd16c0a6c90c4d58587d05f51f184a28a594aec30c"},"schema_version":"1.0","source":{"id":"2501.07032","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07032","created_at":"2026-07-05T10:12:25Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07032v4","created_at":"2026-07-05T10:12:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07032","created_at":"2026-07-05T10:12:25Z"},{"alias_kind":"pith_short_12","alias_value":"VCLZ7PJDKUJV","created_at":"2026-07-05T10:12:25Z"},{"alias_kind":"pith_short_16","alias_value":"VCLZ7PJDKUJVCHZZ","created_at":"2026-07-05T10:12:25Z"},{"alias_kind":"pith_short_8","alias_value":"VCLZ7PJD","created_at":"2026-07-05T10:12:25Z"}],"graph_snapshots":[{"event_id":"sha256:b2537a18bf255505c8b8a79bc23ca339fe3d89b35f4725dca46589920bd34132","target":"graph","created_at":"2026-07-05T10:12:25Z","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/2501.07032/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Kolmogorov-Arnold Networks (KANs) represent an innovation in neural network architectures, offering a compelling alternative to Multi-Layer Perceptrons (MLPs) in models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers. By advancing network design, KANs drive groundbreaking research and enable transformative applications across various scientific domains involving neural networks. However, existing KANs often require significantly more parameters in their network layers than MLPs. To address this limitation, this paper introduces PRKANs (Parameter","authors_text":"Alexander Gelbukh, Anh Tran, Duy-Quy Thai, Grigori Sidorov, Hoang-Thang Ta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-13T03:07:39Z","title":"PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07032","kind":"arxiv","version":4},"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":"sha256:439c06a9f4b8f825b1ff67aad9cddf6b856dd28a82ebbab28e504fbf6a391eff","target":"record","created_at":"2026-07-05T10:12:25Z","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":"a157153beca05c4333391f221627661a713fb648386f1f69c2105bbb1d9f36cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-13T03:07:39Z","title_canon_sha256":"86e4f3152a27ce206d6715bd16c0a6c90c4d58587d05f51f184a28a594aec30c"},"schema_version":"1.0","source":{"id":"2501.07032","kind":"arxiv","version":4}},"canonical_sha256":"a8979fbd235513511f3934733dfa79ab5820b874e12ed936bb178380d74f23e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8979fbd235513511f3934733dfa79ab5820b874e12ed936bb178380d74f23e0","first_computed_at":"2026-07-05T10:12:25.100449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:25.100449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hsMVR1tKxkbxYLmUaiXUaNeijr2BM/yahHx5Ib8DtAO8Cuxr6xpwBH93IwzbjNQnqh/vKdLegdGbaYzpAxl8BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:25.100936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.07032","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:439c06a9f4b8f825b1ff67aad9cddf6b856dd28a82ebbab28e504fbf6a391eff","sha256:b2537a18bf255505c8b8a79bc23ca339fe3d89b35f4725dca46589920bd34132"],"state_sha256":"b663f2d5ec7418597eb9c1d0ea1c07531e8e1bcc9a47097b59f21aa3941967de"}