{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LWS3VG74U4Z7PXOJ5ZKPGOSAK6","short_pith_number":"pith:LWS3VG74","canonical_record":{"source":{"id":"2502.07176","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T01:59:46Z","cross_cats_sorted":[],"title_canon_sha256":"a33050c979e9c8868274a963809733ba8cc270107c84cc2a37d4876a4d02afa6","abstract_canon_sha256":"915368cfdae05ea7951a6cf23e398abe3d75f53bc0086743b606e06e9b32d38b"},"schema_version":"1.0"},"canonical_sha256":"5da5ba9bfca733f7ddc9ee54f33a40578e91d4482d868ee1a70e4d4daba69f6e","source":{"kind":"arxiv","id":"2502.07176","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07176","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07176v2","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07176","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"pith_short_12","alias_value":"LWS3VG74U4Z7","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"pith_short_16","alias_value":"LWS3VG74U4Z7PXOJ","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"pith_short_8","alias_value":"LWS3VG74","created_at":"2026-07-05T10:22:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LWS3VG74U4Z7PXOJ5ZKPGOSAK6","target":"record","payload":{"canonical_record":{"source":{"id":"2502.07176","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T01:59:46Z","cross_cats_sorted":[],"title_canon_sha256":"a33050c979e9c8868274a963809733ba8cc270107c84cc2a37d4876a4d02afa6","abstract_canon_sha256":"915368cfdae05ea7951a6cf23e398abe3d75f53bc0086743b606e06e9b32d38b"},"schema_version":"1.0"},"canonical_sha256":"5da5ba9bfca733f7ddc9ee54f33a40578e91d4482d868ee1a70e4d4daba69f6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:13.088427Z","signature_b64":"jaC21q8vRhu52XegOuE+72G7o4oNJAd+LOyE3tFV177/0mWBG7axC7bRSXo9zUqdtZr8QQ5FcX56iMRsn5tlAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5da5ba9bfca733f7ddc9ee54f33a40578e91d4482d868ee1a70e4d4daba69f6e","last_reissued_at":"2026-07-05T10:22:13.087865Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:13.087865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.07176","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:22:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jT5KmPrt4XW3kC14rJvd88HYkHB+nL5fY4sN8y/SHlXhmq9XYMTm/WYORhql4UvkG2VegFVGRK3+CYu85jeACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:08:32.325025Z"},"content_sha256":"eddb290fc207d57269cc0d15dcb2a82454642e37426c94aec7cf0c4e55ec6e4f","schema_version":"1.0","event_id":"sha256:eddb290fc207d57269cc0d15dcb2a82454642e37426c94aec7cf0c4e55ec6e4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LWS3VG74U4Z7PXOJ5ZKPGOSAK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MatrixKAN: Parallelized Kolmogorov-Arnold Network","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Cale Coffman, Lizhong Chen","submitted_at":"2025-02-11T01:59:46Z","abstract_excerpt":"Kolmogorov-Arnold Networks (KAN) are a new class of neural network architecture representing a promising alternative to the Multilayer Perceptron (MLP), demonstrating improved expressiveness and interpretability. However, KANs suffer from slow training and inference speeds relative to MLPs due in part to the recursive nature of the underlying B-spline calculations. This issue is particularly apparent with respect to KANs utilizing high-degree B-splines, as the number of required non-parallelizable recursions is proportional to B-spline degree. We solve this issue by proposing MatrixKAN, a nove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07176","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.07176/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:22:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vKDs9v1gmSCTLhSrgHD6gdD0PPzaVjj8LJZusaaf1B0NLZfb6fUSI5K9DxcD7iR0kpcVj7brRRhtkqYrNhILDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:08:32.325731Z"},"content_sha256":"eaddc4b81c9968e7f2264bed0ef366ac51984c9fd52271715b8712cc58d9da46","schema_version":"1.0","event_id":"sha256:eaddc4b81c9968e7f2264bed0ef366ac51984c9fd52271715b8712cc58d9da46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6/bundle.json","state_url":"https://pith.science/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T09:08:32Z","links":{"resolver":"https://pith.science/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6","bundle":"https://pith.science/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6/bundle.json","state":"https://pith.science/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LWS3VG74U4Z7PXOJ5ZKPGOSAK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LWS3VG74U4Z7PXOJ5ZKPGOSAK6","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":"915368cfdae05ea7951a6cf23e398abe3d75f53bc0086743b606e06e9b32d38b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T01:59:46Z","title_canon_sha256":"a33050c979e9c8868274a963809733ba8cc270107c84cc2a37d4876a4d02afa6"},"schema_version":"1.0","source":{"id":"2502.07176","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07176","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07176v2","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07176","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"pith_short_12","alias_value":"LWS3VG74U4Z7","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"pith_short_16","alias_value":"LWS3VG74U4Z7PXOJ","created_at":"2026-07-05T10:22:13Z"},{"alias_kind":"pith_short_8","alias_value":"LWS3VG74","created_at":"2026-07-05T10:22:13Z"}],"graph_snapshots":[{"event_id":"sha256:eaddc4b81c9968e7f2264bed0ef366ac51984c9fd52271715b8712cc58d9da46","target":"graph","created_at":"2026-07-05T10:22:13Z","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/2502.07176/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Kolmogorov-Arnold Networks (KAN) are a new class of neural network architecture representing a promising alternative to the Multilayer Perceptron (MLP), demonstrating improved expressiveness and interpretability. However, KANs suffer from slow training and inference speeds relative to MLPs due in part to the recursive nature of the underlying B-spline calculations. This issue is particularly apparent with respect to KANs utilizing high-degree B-splines, as the number of required non-parallelizable recursions is proportional to B-spline degree. We solve this issue by proposing MatrixKAN, a nove","authors_text":"Cale Coffman, Lizhong Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T01:59:46Z","title":"MatrixKAN: Parallelized Kolmogorov-Arnold Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07176","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:eddb290fc207d57269cc0d15dcb2a82454642e37426c94aec7cf0c4e55ec6e4f","target":"record","created_at":"2026-07-05T10:22:13Z","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":"915368cfdae05ea7951a6cf23e398abe3d75f53bc0086743b606e06e9b32d38b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T01:59:46Z","title_canon_sha256":"a33050c979e9c8868274a963809733ba8cc270107c84cc2a37d4876a4d02afa6"},"schema_version":"1.0","source":{"id":"2502.07176","kind":"arxiv","version":2}},"canonical_sha256":"5da5ba9bfca733f7ddc9ee54f33a40578e91d4482d868ee1a70e4d4daba69f6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5da5ba9bfca733f7ddc9ee54f33a40578e91d4482d868ee1a70e4d4daba69f6e","first_computed_at":"2026-07-05T10:22:13.087865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:13.087865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jaC21q8vRhu52XegOuE+72G7o4oNJAd+LOyE3tFV177/0mWBG7axC7bRSXo9zUqdtZr8QQ5FcX56iMRsn5tlAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:13.088427Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.07176","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eddb290fc207d57269cc0d15dcb2a82454642e37426c94aec7cf0c4e55ec6e4f","sha256:eaddc4b81c9968e7f2264bed0ef366ac51984c9fd52271715b8712cc58d9da46"],"state_sha256":"6a304c26293d9cae51e79e589836a16ee9c359a837909c53c72072276d464edf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"427jkssHKxMdOB43O8tJ1FrYQhfj5oacq8GWdNcrEowdEwom2Hlh8iJC04MZPhDyQ+fymkYXoxdDPM0+1cW6AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T09:08:32.333750Z","bundle_sha256":"2227069cdc636027f254a035eade3e5919a71203a9595bc352708c95326ab451"}}