{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:I2NFDZIUFHE52CDAYAVT55VRID","short_pith_number":"pith:I2NFDZIU","canonical_record":{"source":{"id":"2304.04692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-04-10T16:14:42Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"add6a10493831109dc0c74aed01ed5d68e0486df26f543cf2c5b4b95c7d4b7b8","abstract_canon_sha256":"9d26e6aaa8b51b71040ed8bb44edc2f93645bd41c1ac97d1e4323c20d29344b4"},"schema_version":"1.0"},"canonical_sha256":"469a51e51429c9dd0860c02b3ef6b140c9ac84599bdca8644ca0cb246edaf8a2","source":{"kind":"arxiv","id":"2304.04692","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.04692","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"arxiv_version","alias_value":"2304.04692v1","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.04692","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"pith_short_12","alias_value":"I2NFDZIUFHE5","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"pith_short_16","alias_value":"I2NFDZIUFHE52CDA","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"pith_short_8","alias_value":"I2NFDZIU","created_at":"2026-07-05T05:59:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:I2NFDZIUFHE52CDAYAVT55VRID","target":"record","payload":{"canonical_record":{"source":{"id":"2304.04692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-04-10T16:14:42Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"add6a10493831109dc0c74aed01ed5d68e0486df26f543cf2c5b4b95c7d4b7b8","abstract_canon_sha256":"9d26e6aaa8b51b71040ed8bb44edc2f93645bd41c1ac97d1e4323c20d29344b4"},"schema_version":"1.0"},"canonical_sha256":"469a51e51429c9dd0860c02b3ef6b140c9ac84599bdca8644ca0cb246edaf8a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:59:29.213284Z","signature_b64":"CjaS3T5Z6q1cfUQnjW+kO0l+Rht0Q7zurq7ItMuTVKP00PGgftmal0gGhhEeEgq0hIXlwR4e5v+HjYDsscZmCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"469a51e51429c9dd0860c02b3ef6b140c9ac84599bdca8644ca0cb246edaf8a2","last_reissued_at":"2026-07-05T05:59:29.212935Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:59:29.212935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.04692","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":"2026-07-05T05:59:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MCSBAMlGkQYLI9woIx+wMXsl5tarTbYlBSS/C5HsQphTOsRpSZERkqZko/2UOAEwMVAN8U6NBy0FMVZrQvX4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:49:26.832502Z"},"content_sha256":"5e30e1c8837e7c8dc42bbbf79c8e69a6ec6332f1a3b679ff540e09e9331c685e","schema_version":"1.0","event_id":"sha256:5e30e1c8837e7c8dc42bbbf79c8e69a6ec6332f1a3b679ff540e09e9331c685e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:I2NFDZIUFHE52CDAYAVT55VRID","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.ML"],"primary_cat":"stat.ME","authors_text":"Han Lu, Sandra E. Safo","submitted_at":"2023-04-10T16:14:42Z","abstract_excerpt":"We develop scalable randomized kernel methods for jointly associating data from multiple sources and simultaneously predicting an outcome or classifying a unit into one of two or more classes. The proposed methods model nonlinear relationships in multiview data together with predicting a clinical outcome and are capable of identifying variables or groups of variables that best contribute to the relationships among the views. We use the idea that random Fourier bases can approximate shift-invariant kernel functions to construct nonlinear mappings of each view and we use these mappings and the o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.04692","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/2304.04692/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":"2026-07-05T05:59:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b8IvU1iVdYNp5G2HaB0pHtch8YRA9+ASz+9eblqLGuwMLoFcYPUUBE9TKzrZ+e05tYZBglLyVsXRGA8XAEGoCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:49:26.833009Z"},"content_sha256":"4253152f97cc92332857d6f8d78bcf404a4beafdc37ce0b7126ac686e5316be7","schema_version":"1.0","event_id":"sha256:4253152f97cc92332857d6f8d78bcf404a4beafdc37ce0b7126ac686e5316be7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I2NFDZIUFHE52CDAYAVT55VRID/bundle.json","state_url":"https://pith.science/pith/I2NFDZIUFHE52CDAYAVT55VRID/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I2NFDZIUFHE52CDAYAVT55VRID/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":"2026-08-17T12:49:26Z","links":{"resolver":"https://pith.science/pith/I2NFDZIUFHE52CDAYAVT55VRID","bundle":"https://pith.science/pith/I2NFDZIUFHE52CDAYAVT55VRID/bundle.json","state":"https://pith.science/pith/I2NFDZIUFHE52CDAYAVT55VRID/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I2NFDZIUFHE52CDAYAVT55VRID/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:I2NFDZIUFHE52CDAYAVT55VRID","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":"9d26e6aaa8b51b71040ed8bb44edc2f93645bd41c1ac97d1e4323c20d29344b4","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-04-10T16:14:42Z","title_canon_sha256":"add6a10493831109dc0c74aed01ed5d68e0486df26f543cf2c5b4b95c7d4b7b8"},"schema_version":"1.0","source":{"id":"2304.04692","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.04692","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"arxiv_version","alias_value":"2304.04692v1","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.04692","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"pith_short_12","alias_value":"I2NFDZIUFHE5","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"pith_short_16","alias_value":"I2NFDZIUFHE52CDA","created_at":"2026-07-05T05:59:29Z"},{"alias_kind":"pith_short_8","alias_value":"I2NFDZIU","created_at":"2026-07-05T05:59:29Z"}],"graph_snapshots":[{"event_id":"sha256:4253152f97cc92332857d6f8d78bcf404a4beafdc37ce0b7126ac686e5316be7","target":"graph","created_at":"2026-07-05T05:59:29Z","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/2304.04692/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We develop scalable randomized kernel methods for jointly associating data from multiple sources and simultaneously predicting an outcome or classifying a unit into one of two or more classes. The proposed methods model nonlinear relationships in multiview data together with predicting a clinical outcome and are capable of identifying variables or groups of variables that best contribute to the relationships among the views. We use the idea that random Fourier bases can approximate shift-invariant kernel functions to construct nonlinear mappings of each view and we use these mappings and the o","authors_text":"Han Lu, Sandra E. Safo","cross_cats":["stat.AP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-04-10T16:14:42Z","title":"Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.04692","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":"sha256:5e30e1c8837e7c8dc42bbbf79c8e69a6ec6332f1a3b679ff540e09e9331c685e","target":"record","created_at":"2026-07-05T05:59:29Z","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":"9d26e6aaa8b51b71040ed8bb44edc2f93645bd41c1ac97d1e4323c20d29344b4","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-04-10T16:14:42Z","title_canon_sha256":"add6a10493831109dc0c74aed01ed5d68e0486df26f543cf2c5b4b95c7d4b7b8"},"schema_version":"1.0","source":{"id":"2304.04692","kind":"arxiv","version":1}},"canonical_sha256":"469a51e51429c9dd0860c02b3ef6b140c9ac84599bdca8644ca0cb246edaf8a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"469a51e51429c9dd0860c02b3ef6b140c9ac84599bdca8644ca0cb246edaf8a2","first_computed_at":"2026-07-05T05:59:29.212935Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:59:29.212935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CjaS3T5Z6q1cfUQnjW+kO0l+Rht0Q7zurq7ItMuTVKP00PGgftmal0gGhhEeEgq0hIXlwR4e5v+HjYDsscZmCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:59:29.213284Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.04692","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e30e1c8837e7c8dc42bbbf79c8e69a6ec6332f1a3b679ff540e09e9331c685e","sha256:4253152f97cc92332857d6f8d78bcf404a4beafdc37ce0b7126ac686e5316be7"],"state_sha256":"f7da9b916ae36828292a75f70a57223e3ffe389f011474b8a4e0512fd1231ac3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Aeslr8SaG/1jt2P+WF6XxV/50I+ojtn69agXhxj6gQLhxGDgWwFWfii8IwOZaptK/XOnkU/0gT7OxWedbnEgCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T12:49:26.839756Z","bundle_sha256":"6171349db79b7a2b4dc42d3dd254afc8f58d1436bca9f8a7f59a349dbe70e8fc"}}