{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RHRHJBHBNLPCVVVJZVUNWLZ3AZ","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":"54750efda72c7afa3e4ff575ac53016c3b47ae9f7a0ced72634be0a4ba231893","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-12-23T18:38:32Z","title_canon_sha256":"00b443b1d71ec40fd2e0219c788c8d5735bffa3f4ef229a7691c481e33580301"},"schema_version":"1.0","source":{"id":"2412.17778","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17778","created_at":"2026-07-05T11:06:26Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17778v2","created_at":"2026-07-05T11:06:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17778","created_at":"2026-07-05T11:06:26Z"},{"alias_kind":"pith_short_12","alias_value":"RHRHJBHBNLPC","created_at":"2026-07-05T11:06:26Z"},{"alias_kind":"pith_short_16","alias_value":"RHRHJBHBNLPCVVVJ","created_at":"2026-07-05T11:06:26Z"},{"alias_kind":"pith_short_8","alias_value":"RHRHJBHB","created_at":"2026-07-05T11:06:26Z"}],"graph_snapshots":[{"event_id":"sha256:b4ccef0b6491a5fecf91d8c4abb2e725fce1c0552e3afb85447611ee7769c040","target":"graph","created_at":"2026-07-05T11:06:26Z","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/2412.17778/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural network (DNN)-based speech enhancement (SE) usually uses conventional activation functions, which lack the expressiveness to capture complex multiscale structures needed for high-fidelity SE. Group-Rational KAN (GR-KAN), a variant of Kolmogorov-Arnold Networks (KAN), retains KAN's expressiveness while improving scalability on complex tasks. We adapt GR-KAN to existing DNN-based SE by replacing dense layers with GR-KAN layers in the time-frequency (T-F) domain MP-SENet and adapting GR-KAN's activations into the 1D CNN layers in the time-domain Demucs. Results on Voicebank-DEMAND sho","authors_text":"Chen Chen, Eng Siong Chng, Haoyang Li, Sabato Marco Siniscalchi, Songting Liu, Yuchen Hu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-12-23T18:38:32Z","title":"From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17778","kind":"arxiv","version":2},"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":"sha256:8fdd447abc6fa20c0e08d4595faddda7d226e984727fad7aee5815e075c31aec","target":"record","created_at":"2026-07-05T11:06:26Z","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":"54750efda72c7afa3e4ff575ac53016c3b47ae9f7a0ced72634be0a4ba231893","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-12-23T18:38:32Z","title_canon_sha256":"00b443b1d71ec40fd2e0219c788c8d5735bffa3f4ef229a7691c481e33580301"},"schema_version":"1.0","source":{"id":"2412.17778","kind":"arxiv","version":2}},"canonical_sha256":"89e27484e16ade2ad6a9cd68db2f3b064d3b839ec3d56acb4c7ac8d8d150ec13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89e27484e16ade2ad6a9cd68db2f3b064d3b839ec3d56acb4c7ac8d8d150ec13","first_computed_at":"2026-07-05T11:06:26.293844Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:26.293844Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CDAOpchqRcvI8PgYTIMPW4BP6mMZ3mINW94KUUl+ZbaR5DVrTmHa67O57qznQfBTmF2+a1+SfUu1h7TAFB79CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:26.294367Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17778","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8fdd447abc6fa20c0e08d4595faddda7d226e984727fad7aee5815e075c31aec","sha256:b4ccef0b6491a5fecf91d8c4abb2e725fce1c0552e3afb85447611ee7769c040"],"state_sha256":"0bfd355b1e7304b3461af48e1a8cb86f70be953ed54b596c4c8476eaa060309b"}