{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:EXSCGEUW2PSCMKGDCGFMJTNJDT","short_pith_number":"pith:EXSCGEUW","canonical_record":{"source":{"id":"1102.1204","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-02-06T21:35:37Z","cross_cats_sorted":[],"title_canon_sha256":"9c00f3bf2a05011a39e3014e5ed5f751b50e7b262740a811c3ba57819a1479a3","abstract_canon_sha256":"bbdf2e02e49357d64a5da5835202d3e3a65eaeebad4b493bdf2a42c18eb7a126"},"schema_version":"1.0"},"canonical_sha256":"25e4231296d3e42628c3118ac4cda91cee7aaa3bbc2166f0b31f1d7e5277268f","source":{"kind":"arxiv","id":"1102.1204","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1102.1204","created_at":"2026-05-18T02:22:40Z"},{"alias_kind":"arxiv_version","alias_value":"1102.1204v2","created_at":"2026-05-18T02:22:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1102.1204","created_at":"2026-05-18T02:22:40Z"},{"alias_kind":"pith_short_12","alias_value":"EXSCGEUW2PSC","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_16","alias_value":"EXSCGEUW2PSCMKGD","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_8","alias_value":"EXSCGEUW","created_at":"2026-05-18T12:26:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:EXSCGEUW2PSCMKGDCGFMJTNJDT","target":"record","payload":{"canonical_record":{"source":{"id":"1102.1204","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-02-06T21:35:37Z","cross_cats_sorted":[],"title_canon_sha256":"9c00f3bf2a05011a39e3014e5ed5f751b50e7b262740a811c3ba57819a1479a3","abstract_canon_sha256":"bbdf2e02e49357d64a5da5835202d3e3a65eaeebad4b493bdf2a42c18eb7a126"},"schema_version":"1.0"},"canonical_sha256":"25e4231296d3e42628c3118ac4cda91cee7aaa3bbc2166f0b31f1d7e5277268f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:22:40.193009Z","signature_b64":"afDrTVVXAjDDWrdNItPfIJQTX/B1by5Y9oIjT1eLOBtWO3cxAjeaCMBC9CTJxYvcBdQ2sgbWT8Ih9nUJX/VwAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25e4231296d3e42628c3118ac4cda91cee7aaa3bbc2166f0b31f1d7e5277268f","last_reissued_at":"2026-05-18T02:22:40.192363Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:22:40.192363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1102.1204","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":"2026-05-18T02:22:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gFIiec+5wonnxHvMpDbA3OarIboWTbESN5HRW9SuoOUKk8qH3KZ4Cj/rR70r7ApPKvWraST8wltUr7QUzSU5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T16:08:07.154941Z"},"content_sha256":"9582f8b82007fdc7f09f40f952ef41f51525864ac3dacfdf2585395d16587037","schema_version":"1.0","event_id":"sha256:9582f8b82007fdc7f09f40f952ef41f51525864ac3dacfdf2585395d16587037"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:EXSCGEUW2PSCMKGDCGFMJTNJDT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Scale Correlation Screening","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Alfred O. Hero, Bala Rajaratnam","submitted_at":"2011-02-06T21:35:37Z","abstract_excerpt":"This paper treats the problem of screening for variables with high correlations in high dimensional data in which there can be many fewer samples than variables. We focus on threshold-based correlation screening methods for three related applications: screening for variables with large correlations within a single treatment (autocorrelation screening); screening for variables with large cross-correlations over two treatments (cross-correlation screening); screening for variables that have persistently large auto-correlations over two treatments (persistent-correlation screening). The novelty o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1102.1204","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":""},"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":"2026-05-18T02:22:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qj2/UlHwziKmGrGYs+Rdnl/Za0KGiwopvFG+kzWS4W2Bx3PVb3JqG2yL8EE04p62GDphTD0Qya48T3UbIxWyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T16:08:07.155275Z"},"content_sha256":"c62cd7a3b0b8c1b2473dc8f70244fc88535f56f198cf9ad08e99a5ad6afdfd30","schema_version":"1.0","event_id":"sha256:c62cd7a3b0b8c1b2473dc8f70244fc88535f56f198cf9ad08e99a5ad6afdfd30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT/bundle.json","state_url":"https://pith.science/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT/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":"2026-06-27T16:08:07Z","links":{"resolver":"https://pith.science/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT","bundle":"https://pith.science/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT/bundle.json","state":"https://pith.science/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EXSCGEUW2PSCMKGDCGFMJTNJDT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:EXSCGEUW2PSCMKGDCGFMJTNJDT","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":"bbdf2e02e49357d64a5da5835202d3e3a65eaeebad4b493bdf2a42c18eb7a126","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-02-06T21:35:37Z","title_canon_sha256":"9c00f3bf2a05011a39e3014e5ed5f751b50e7b262740a811c3ba57819a1479a3"},"schema_version":"1.0","source":{"id":"1102.1204","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1102.1204","created_at":"2026-05-18T02:22:40Z"},{"alias_kind":"arxiv_version","alias_value":"1102.1204v2","created_at":"2026-05-18T02:22:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1102.1204","created_at":"2026-05-18T02:22:40Z"},{"alias_kind":"pith_short_12","alias_value":"EXSCGEUW2PSC","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_16","alias_value":"EXSCGEUW2PSCMKGD","created_at":"2026-05-18T12:26:28Z"},{"alias_kind":"pith_short_8","alias_value":"EXSCGEUW","created_at":"2026-05-18T12:26:28Z"}],"graph_snapshots":[{"event_id":"sha256:c62cd7a3b0b8c1b2473dc8f70244fc88535f56f198cf9ad08e99a5ad6afdfd30","target":"graph","created_at":"2026-05-18T02:22:40Z","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":"This paper treats the problem of screening for variables with high correlations in high dimensional data in which there can be many fewer samples than variables. We focus on threshold-based correlation screening methods for three related applications: screening for variables with large correlations within a single treatment (autocorrelation screening); screening for variables with large cross-correlations over two treatments (cross-correlation screening); screening for variables that have persistently large auto-correlations over two treatments (persistent-correlation screening). The novelty o","authors_text":"Alfred O. Hero, Bala Rajaratnam","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-02-06T21:35:37Z","title":"Large Scale Correlation Screening"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1102.1204","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":"sha256:9582f8b82007fdc7f09f40f952ef41f51525864ac3dacfdf2585395d16587037","target":"record","created_at":"2026-05-18T02:22:40Z","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":"bbdf2e02e49357d64a5da5835202d3e3a65eaeebad4b493bdf2a42c18eb7a126","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-02-06T21:35:37Z","title_canon_sha256":"9c00f3bf2a05011a39e3014e5ed5f751b50e7b262740a811c3ba57819a1479a3"},"schema_version":"1.0","source":{"id":"1102.1204","kind":"arxiv","version":2}},"canonical_sha256":"25e4231296d3e42628c3118ac4cda91cee7aaa3bbc2166f0b31f1d7e5277268f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25e4231296d3e42628c3118ac4cda91cee7aaa3bbc2166f0b31f1d7e5277268f","first_computed_at":"2026-05-18T02:22:40.192363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:22:40.192363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"afDrTVVXAjDDWrdNItPfIJQTX/B1by5Y9oIjT1eLOBtWO3cxAjeaCMBC9CTJxYvcBdQ2sgbWT8Ih9nUJX/VwAg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:22:40.193009Z","signed_message":"canonical_sha256_bytes"},"source_id":"1102.1204","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9582f8b82007fdc7f09f40f952ef41f51525864ac3dacfdf2585395d16587037","sha256:c62cd7a3b0b8c1b2473dc8f70244fc88535f56f198cf9ad08e99a5ad6afdfd30"],"state_sha256":"9bab3ac41f53591d312638a497a744567426edf4a7ffc69df73be73b0ea234ef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c3X4Zd42CSpgffy95rQ8/IsMOE1UyzXDRR8+Ve4JS7AtTgYxFsRlbgFQ8svWgEECagW8sIRrauGfQH3/ZC8nCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T16:08:07.157153Z","bundle_sha256":"21f38a8db0648b1105ab6c0e6547ee27de406179430d6d2c8d225d969ad59a5d"}}