{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4WKRZJFHSWD5CM3GLEKHN2XNGO","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":"e6ffbbebb2ff1c2ca071e83347b694f888139330afa1f434a252a3761b8ba8be","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T08:49:33Z","title_canon_sha256":"9412d2e1398308df50c765baa1475a7efc79745492a33e253acf8fc2fb41857f"},"schema_version":"1.0","source":{"id":"2407.01092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01092","created_at":"2026-07-05T08:38:42Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01092v1","created_at":"2026-07-05T08:38:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01092","created_at":"2026-07-05T08:38:42Z"},{"alias_kind":"pith_short_12","alias_value":"4WKRZJFHSWD5","created_at":"2026-07-05T08:38:42Z"},{"alias_kind":"pith_short_16","alias_value":"4WKRZJFHSWD5CM3G","created_at":"2026-07-05T08:38:42Z"},{"alias_kind":"pith_short_8","alias_value":"4WKRZJFH","created_at":"2026-07-05T08:38:42Z"}],"graph_snapshots":[{"event_id":"sha256:8eaf37398c5c4c0b7aed554dc3573c692a5e3070d4841ffed31660fc08f6d98c","target":"graph","created_at":"2026-07-05T08:38:42Z","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/2407.01092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of Kolmogorov-Arnold Networks (KANs) has sparked significant interest and debate within the scientific community. This paper explores the application of KANs in the domain of computer vision (CV). We examine the convolutional version of KANs, considering various nonlinearity options beyond splines, such as Wavelet transforms and a range of polynomials. We propose a parameter-efficient design for Kolmogorov-Arnold convolutional layers and a parameter-efficient finetuning algorithm for pre-trained KAN models, as well as KAN convolutional versions of self-attention and focal modulat","authors_text":"Ivan Drokin","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T08:49:33Z","title":"Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01092","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":"sha256:9bf2572a41ed3c3e1bc064950dd61fa667ab06e6010d1982fa50380f072f59ac","target":"record","created_at":"2026-07-05T08:38:42Z","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":"e6ffbbebb2ff1c2ca071e83347b694f888139330afa1f434a252a3761b8ba8be","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T08:49:33Z","title_canon_sha256":"9412d2e1398308df50c765baa1475a7efc79745492a33e253acf8fc2fb41857f"},"schema_version":"1.0","source":{"id":"2407.01092","kind":"arxiv","version":1}},"canonical_sha256":"e5951ca4a79587d13366591476eaed339e558de4649ac4e0465301d00af7147c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5951ca4a79587d13366591476eaed339e558de4649ac4e0465301d00af7147c","first_computed_at":"2026-07-05T08:38:42.954173Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:38:42.954173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HcGJtQWMwdEW9QXolr9xsm0F6rCdqCzavMjUDCmK/yeDIG+lKnHbjde1pvPQVAOM6rSe25/KBvpFAbrqDfWUBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:38:42.954645Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.01092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9bf2572a41ed3c3e1bc064950dd61fa667ab06e6010d1982fa50380f072f59ac","sha256:8eaf37398c5c4c0b7aed554dc3573c692a5e3070d4841ffed31660fc08f6d98c"],"state_sha256":"b8bfb40cc800136aadcc6443d042bc191a688826974676c0e32794c606bd5640"}