{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:DRVBXWY3DIHIGNVCT3CIK3BQOW","short_pith_number":"pith:DRVBXWY3","canonical_record":{"source":{"id":"1111.6283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-11-27T17:53:35Z","cross_cats_sorted":[],"title_canon_sha256":"67870110677b2b785b250c491d8618f302e0027b0199a7ee939e331815830267","abstract_canon_sha256":"057a1c9db5c2d75e0fdb00be806dc2c3524d6a3a21234d8fd731af73a3d21cfd"},"schema_version":"1.0"},"canonical_sha256":"1c6a1bdb1b1a0e8336a29ec4856c3075a3c361743c19b1d0f79acbf88cec75fe","source":{"kind":"arxiv","id":"1111.6283","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1111.6283","created_at":"2026-05-18T04:07:31Z"},{"alias_kind":"arxiv_version","alias_value":"1111.6283v1","created_at":"2026-05-18T04:07:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1111.6283","created_at":"2026-05-18T04:07:31Z"},{"alias_kind":"pith_short_12","alias_value":"DRVBXWY3DIHI","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"DRVBXWY3DIHIGNVC","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"DRVBXWY3","created_at":"2026-05-18T12:26:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:DRVBXWY3DIHIGNVCT3CIK3BQOW","target":"record","payload":{"canonical_record":{"source":{"id":"1111.6283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-11-27T17:53:35Z","cross_cats_sorted":[],"title_canon_sha256":"67870110677b2b785b250c491d8618f302e0027b0199a7ee939e331815830267","abstract_canon_sha256":"057a1c9db5c2d75e0fdb00be806dc2c3524d6a3a21234d8fd731af73a3d21cfd"},"schema_version":"1.0"},"canonical_sha256":"1c6a1bdb1b1a0e8336a29ec4856c3075a3c361743c19b1d0f79acbf88cec75fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:07:31.376494Z","signature_b64":"pOluYyVUZx+U0aCrf/XSjRpEPm49QAYlfD3sYEFQJnRulSLW+Xu+1A5spn9PkPyYnjZRXYZbBChb4eYHV5lgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c6a1bdb1b1a0e8336a29ec4856c3075a3c361743c19b1d0f79acbf88cec75fe","last_reissued_at":"2026-05-18T04:07:31.375782Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:07:31.375782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1111.6283","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":"2026-05-18T04:07:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fh0IuSg2dhxAYujzURtZ5Ey2rJLZQbzWps+K3mGzcS3B9MRE+OShkt72a36kagwVqbGTqqrJkAMwFfGoqy3sCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T00:09:20.860040Z"},"content_sha256":"6081d6d8b30c809da86e57abf7878a6008285d02a465fc1b9aed998d683ced6a","schema_version":"1.0","event_id":"sha256:6081d6d8b30c809da86e57abf7878a6008285d02a465fc1b9aed998d683ced6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:DRVBXWY3DIHIGNVCT3CIK3BQOW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Feature selection for high-dimensional integrated data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Charles Zheng, Ivan Ivanov, Raymond Carroll, Robert Chapkin, Scott Schwartz","submitted_at":"2011-11-27T17:53:35Z","abstract_excerpt":"Motivated by the problem of identifying correlations between genes or features of two related biological systems, we propose a model of \\emph{feature selection} in which only a subset of the predictors $X_t$ are dependent on the multidimensional variate $Y$, and the remainder of the predictors constitute a \"noise set\" $X_u$ independent of $Y$. Using Monte Carlo simulations, we investigated the relative performance of two methods: thresholding and singular-value decomposition, in combination with stochastic optimization to determine \"empirical bounds\" on the small-sample accuracy of an asymptot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1111.6283","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":""},"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":"2026-05-18T04:07:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X/PlnzO6aicHISppSZl5q9q3jya8ag/S5SpW2bLLvnY59Niw0xQ/Su3xmheF6iHPzEcd8TMd7SKemDuI64qPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T00:09:20.860861Z"},"content_sha256":"0e08413cde50da051b84b31c851e0fdedffe83b97a66531394163b57eabf40be","schema_version":"1.0","event_id":"sha256:0e08413cde50da051b84b31c851e0fdedffe83b97a66531394163b57eabf40be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW/bundle.json","state_url":"https://pith.science/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW/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":"2026-06-01T00:09:20Z","links":{"resolver":"https://pith.science/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW","bundle":"https://pith.science/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW/bundle.json","state":"https://pith.science/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DRVBXWY3DIHIGNVCT3CIK3BQOW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:DRVBXWY3DIHIGNVCT3CIK3BQOW","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":"057a1c9db5c2d75e0fdb00be806dc2c3524d6a3a21234d8fd731af73a3d21cfd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-11-27T17:53:35Z","title_canon_sha256":"67870110677b2b785b250c491d8618f302e0027b0199a7ee939e331815830267"},"schema_version":"1.0","source":{"id":"1111.6283","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1111.6283","created_at":"2026-05-18T04:07:31Z"},{"alias_kind":"arxiv_version","alias_value":"1111.6283v1","created_at":"2026-05-18T04:07:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1111.6283","created_at":"2026-05-18T04:07:31Z"},{"alias_kind":"pith_short_12","alias_value":"DRVBXWY3DIHI","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"DRVBXWY3DIHIGNVC","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"DRVBXWY3","created_at":"2026-05-18T12:26:26Z"}],"graph_snapshots":[{"event_id":"sha256:0e08413cde50da051b84b31c851e0fdedffe83b97a66531394163b57eabf40be","target":"graph","created_at":"2026-05-18T04:07:31Z","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"},"paper":{"abstract_excerpt":"Motivated by the problem of identifying correlations between genes or features of two related biological systems, we propose a model of \\emph{feature selection} in which only a subset of the predictors $X_t$ are dependent on the multidimensional variate $Y$, and the remainder of the predictors constitute a \"noise set\" $X_u$ independent of $Y$. Using Monte Carlo simulations, we investigated the relative performance of two methods: thresholding and singular-value decomposition, in combination with stochastic optimization to determine \"empirical bounds\" on the small-sample accuracy of an asymptot","authors_text":"Charles Zheng, Ivan Ivanov, Raymond Carroll, Robert Chapkin, Scott Schwartz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-11-27T17:53:35Z","title":"Feature selection for high-dimensional integrated data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1111.6283","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":"sha256:6081d6d8b30c809da86e57abf7878a6008285d02a465fc1b9aed998d683ced6a","target":"record","created_at":"2026-05-18T04:07:31Z","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":"057a1c9db5c2d75e0fdb00be806dc2c3524d6a3a21234d8fd731af73a3d21cfd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-11-27T17:53:35Z","title_canon_sha256":"67870110677b2b785b250c491d8618f302e0027b0199a7ee939e331815830267"},"schema_version":"1.0","source":{"id":"1111.6283","kind":"arxiv","version":1}},"canonical_sha256":"1c6a1bdb1b1a0e8336a29ec4856c3075a3c361743c19b1d0f79acbf88cec75fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c6a1bdb1b1a0e8336a29ec4856c3075a3c361743c19b1d0f79acbf88cec75fe","first_computed_at":"2026-05-18T04:07:31.375782Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:07:31.375782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pOluYyVUZx+U0aCrf/XSjRpEPm49QAYlfD3sYEFQJnRulSLW+Xu+1A5spn9PkPyYnjZRXYZbBChb4eYHV5lgAA==","signature_status":"signed_v1","signed_at":"2026-05-18T04:07:31.376494Z","signed_message":"canonical_sha256_bytes"},"source_id":"1111.6283","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6081d6d8b30c809da86e57abf7878a6008285d02a465fc1b9aed998d683ced6a","sha256:0e08413cde50da051b84b31c851e0fdedffe83b97a66531394163b57eabf40be"],"state_sha256":"66fbe9d61c12fa58e542ba15e5521a7e37ab81af8f8a25779ef71db9634ce5df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CxCg6QuWQJ1zo5EBl/1g/8mjytxwoUmEfLViBipaEbAMpkC9icHwtBDJxrH4Eyut64AQ+C5bkJ6dd1u53K1+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T00:09:20.864986Z","bundle_sha256":"d3f95b8fc245ffaff8d6a87fd1733ce64a6f216d4fb7dc6510b8240235922c40"}}