{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:L5C6M6YWOEGSCJKBH4VFEN2U73","short_pith_number":"pith:L5C6M6YW","canonical_record":{"source":{"id":"2504.15240","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-21T17:14:05Z","cross_cats_sorted":[],"title_canon_sha256":"062319f3a5ba6ce3d53340694dd88db5348d87cd5d1c5870406e39c0bde1c3ca","abstract_canon_sha256":"c5cccb671511ade55d42e842f5ee24ce1f870fb37e390f0ff4438d587059d6fe"},"schema_version":"1.0"},"canonical_sha256":"5f45e67b16710d2125413f2a523754fed544f9a9690ba771636b3c88b03e86db","source":{"kind":"arxiv","id":"2504.15240","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15240","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15240v1","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15240","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_12","alias_value":"L5C6M6YWOEGS","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_16","alias_value":"L5C6M6YWOEGSCJKB","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_8","alias_value":"L5C6M6YW","created_at":"2026-07-05T10:51:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:L5C6M6YWOEGSCJKBH4VFEN2U73","target":"record","payload":{"canonical_record":{"source":{"id":"2504.15240","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-21T17:14:05Z","cross_cats_sorted":[],"title_canon_sha256":"062319f3a5ba6ce3d53340694dd88db5348d87cd5d1c5870406e39c0bde1c3ca","abstract_canon_sha256":"c5cccb671511ade55d42e842f5ee24ce1f870fb37e390f0ff4438d587059d6fe"},"schema_version":"1.0"},"canonical_sha256":"5f45e67b16710d2125413f2a523754fed544f9a9690ba771636b3c88b03e86db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:58.658802Z","signature_b64":"ajBYatGQj4X3gd1S3/FCYgCYOgoSdLbFnfGrjvOVPHEg69I38C0Ytqe2q7jKEevLBEpsGr4+FNnQ9OqV35/rAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f45e67b16710d2125413f2a523754fed544f9a9690ba771636b3c88b03e86db","last_reissued_at":"2026-07-05T10:51:58.658398Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:58.658398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.15240","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:51:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jRw/b5S60qs8naFhGm3yEv9aeevRUlBYntesQ+YhdvHoCjqY5b0OQA0zsn/FagUkWrjlb3kG21I2+jB/NQ1NCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T23:54:31.167825Z"},"content_sha256":"96955a967e7632fbe7d97c09a3a2316fd9b54abee8477713d54bc4d22d6a69f2","schema_version":"1.0","event_id":"sha256:96955a967e7632fbe7d97c09a3a2316fd9b54abee8477713d54bc4d22d6a69f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:L5C6M6YWOEGSCJKBH4VFEN2U73","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alexander Heinlein, Amanda A. Howard, Amirhossein Mollaali, Christian Bolivar Moya, Guang Lin, Panos Stinis","submitted_at":"2025-04-21T17:14:05Z","abstract_excerpt":"This paper explores uncertainty quantification (UQ) methods in the context of Kolmogorov-Arnold Networks (KANs). We apply an ensemble approach to KANs to obtain a heuristic measure of UQ, enhancing interpretability and robustness in modeling complex functions. Building on this, we introduce Conformalized-KANs, which integrate conformal prediction, a distribution-free UQ technique, with KAN ensembles to generate calibrated prediction intervals with guaranteed coverage. Extensive numerical experiments are conducted to evaluate the effectiveness of these methods, focusing particularly on the robu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15240","kind":"arxiv","version":1},"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/2504.15240/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":"2026-07-05T10:51:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lDmxAU6A7hxpbx7SlpgZgXNoepjoJfkLp0VLOex6AMCW7PvR62Z2lx0E66qScwOO0+dlkhoM6Y3Y1Mz0+LSRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T23:54:31.168185Z"},"content_sha256":"195ded7723798559ef6facb4ba073100cbee7a9be35a2bd1258f9577c0bda2d0","schema_version":"1.0","event_id":"sha256:195ded7723798559ef6facb4ba073100cbee7a9be35a2bd1258f9577c0bda2d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L5C6M6YWOEGSCJKBH4VFEN2U73/bundle.json","state_url":"https://pith.science/pith/L5C6M6YWOEGSCJKBH4VFEN2U73/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L5C6M6YWOEGSCJKBH4VFEN2U73/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":"2026-07-25T23:54:31Z","links":{"resolver":"https://pith.science/pith/L5C6M6YWOEGSCJKBH4VFEN2U73","bundle":"https://pith.science/pith/L5C6M6YWOEGSCJKBH4VFEN2U73/bundle.json","state":"https://pith.science/pith/L5C6M6YWOEGSCJKBH4VFEN2U73/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L5C6M6YWOEGSCJKBH4VFEN2U73/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:L5C6M6YWOEGSCJKBH4VFEN2U73","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":"c5cccb671511ade55d42e842f5ee24ce1f870fb37e390f0ff4438d587059d6fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-21T17:14:05Z","title_canon_sha256":"062319f3a5ba6ce3d53340694dd88db5348d87cd5d1c5870406e39c0bde1c3ca"},"schema_version":"1.0","source":{"id":"2504.15240","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15240","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15240v1","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15240","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_12","alias_value":"L5C6M6YWOEGS","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_16","alias_value":"L5C6M6YWOEGSCJKB","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_8","alias_value":"L5C6M6YW","created_at":"2026-07-05T10:51:58Z"}],"graph_snapshots":[{"event_id":"sha256:195ded7723798559ef6facb4ba073100cbee7a9be35a2bd1258f9577c0bda2d0","target":"graph","created_at":"2026-07-05T10:51:58Z","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/2504.15240/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper explores uncertainty quantification (UQ) methods in the context of Kolmogorov-Arnold Networks (KANs). We apply an ensemble approach to KANs to obtain a heuristic measure of UQ, enhancing interpretability and robustness in modeling complex functions. Building on this, we introduce Conformalized-KANs, which integrate conformal prediction, a distribution-free UQ technique, with KAN ensembles to generate calibrated prediction intervals with guaranteed coverage. Extensive numerical experiments are conducted to evaluate the effectiveness of these methods, focusing particularly on the robu","authors_text":"Alexander Heinlein, Amanda A. Howard, Amirhossein Mollaali, Christian Bolivar Moya, Guang Lin, Panos Stinis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-21T17:14:05Z","title":"Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15240","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":"sha256:96955a967e7632fbe7d97c09a3a2316fd9b54abee8477713d54bc4d22d6a69f2","target":"record","created_at":"2026-07-05T10:51:58Z","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":"c5cccb671511ade55d42e842f5ee24ce1f870fb37e390f0ff4438d587059d6fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-21T17:14:05Z","title_canon_sha256":"062319f3a5ba6ce3d53340694dd88db5348d87cd5d1c5870406e39c0bde1c3ca"},"schema_version":"1.0","source":{"id":"2504.15240","kind":"arxiv","version":1}},"canonical_sha256":"5f45e67b16710d2125413f2a523754fed544f9a9690ba771636b3c88b03e86db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f45e67b16710d2125413f2a523754fed544f9a9690ba771636b3c88b03e86db","first_computed_at":"2026-07-05T10:51:58.658398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:58.658398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ajBYatGQj4X3gd1S3/FCYgCYOgoSdLbFnfGrjvOVPHEg69I38C0Ytqe2q7jKEevLBEpsGr4+FNnQ9OqV35/rAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:58.658802Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15240","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96955a967e7632fbe7d97c09a3a2316fd9b54abee8477713d54bc4d22d6a69f2","sha256:195ded7723798559ef6facb4ba073100cbee7a9be35a2bd1258f9577c0bda2d0"],"state_sha256":"4709b7a1a24cf51a918fb95731f7846c603b5d0aa9893beab03d64f98dee5674"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9DlN5ApPyu+MA5XyT3lYWglQ7DSFNB3Msj2KE2peNA5c9zaEvbX5NDUlyTddzbA2hjrgBSc+D3meF9FN3plvBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-25T23:54:31.170293Z","bundle_sha256":"82da80dfe2b9ab4b31abf28e72fa714e4f990acf056e239497ed9b8e18b008d4"}}