{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:772ZNYOJ5VUEZQS7RGUM47BPI4","short_pith_number":"pith:772ZNYOJ","schema_version":"1.0","canonical_sha256":"fff596e1c9ed684cc25f89a8ce7c2f4727e55e22fdada295c49586338e6a9551","source":{"kind":"arxiv","id":"2607.22437","version":1},"attestation_state":"computed","paper":{"title":"A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Guifang Fu, John R. Shaffer, Peter Claes, Seth M. Weinberg, Shaofei Zhao, Zuofeng Shang","submitted_at":"2026-07-24T15:57:25Z","abstract_excerpt":"As data collecting technologies advance, data structures are getting more and more complex, from single vectors to multi-dimensional tensors. This article is motivated by a variable selection problem to detect important genes from an ultrahigh dimensional pool that are associated with human facial shape variations. We propose a data-driven trimmed feature screening method based on a tensor ridge regression model (TrimTenRidge) through setting thresholds on the tensor coefficients to perform a feature screening procedure. Unlike existing approaches, the TrimTenRidge does not require any sparse "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.22437","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-24T15:57:25Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"06d6f5d1ee4f8c873ca796dbdcd704060d401f272f976766824ade3d9b58159a","abstract_canon_sha256":"26a0e1c53c85ae8bd1a24fb81c5bc63aa03ea931c6a5db08663779f273c8e80e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T01:21:21.076065Z","signature_b64":"0qv+IzR4s5S/uk8iKqpY7GsV2MByjXeWh9qAVx29sA4BaUwEUzQ8dGyAChXRN98gYuOFheBiePzPLTAV/ggiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fff596e1c9ed684cc25f89a8ce7c2f4727e55e22fdada295c49586338e6a9551","last_reissued_at":"2026-07-27T01:21:21.075095Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T01:21:21.075095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Guifang Fu, John R. Shaffer, Peter Claes, Seth M. Weinberg, Shaofei Zhao, Zuofeng Shang","submitted_at":"2026-07-24T15:57:25Z","abstract_excerpt":"As data collecting technologies advance, data structures are getting more and more complex, from single vectors to multi-dimensional tensors. This article is motivated by a variable selection problem to detect important genes from an ultrahigh dimensional pool that are associated with human facial shape variations. We propose a data-driven trimmed feature screening method based on a tensor ridge regression model (TrimTenRidge) through setting thresholds on the tensor coefficients to perform a feature screening procedure. Unlike existing approaches, the TrimTenRidge does not require any sparse "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22437","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/2607.22437/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.22437","created_at":"2026-07-27T01:21:21.075564+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.22437v1","created_at":"2026-07-27T01:21:21.075564+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22437","created_at":"2026-07-27T01:21:21.075564+00:00"},{"alias_kind":"pith_short_12","alias_value":"772ZNYOJ5VUE","created_at":"2026-07-27T01:21:21.075564+00:00"},{"alias_kind":"pith_short_16","alias_value":"772ZNYOJ5VUEZQS7","created_at":"2026-07-27T01:21:21.075564+00:00"},{"alias_kind":"pith_short_8","alias_value":"772ZNYOJ","created_at":"2026-07-27T01:21:21.075564+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4","json":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4.json","graph_json":"https://pith.science/api/pith-number/772ZNYOJ5VUEZQS7RGUM47BPI4/graph.json","events_json":"https://pith.science/api/pith-number/772ZNYOJ5VUEZQS7RGUM47BPI4/events.json","paper":"https://pith.science/paper/772ZNYOJ"},"agent_actions":{"view_html":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4","download_json":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4.json","view_paper":"https://pith.science/paper/772ZNYOJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.22437&json=true","fetch_graph":"https://pith.science/api/pith-number/772ZNYOJ5VUEZQS7RGUM47BPI4/graph.json","fetch_events":"https://pith.science/api/pith-number/772ZNYOJ5VUEZQS7RGUM47BPI4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4/action/storage_attestation","attest_author":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4/action/author_attestation","sign_citation":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4/action/citation_signature","submit_replication":"https://pith.science/pith/772ZNYOJ5VUEZQS7RGUM47BPI4/action/replication_record"}},"created_at":"2026-07-27T01:21:21.075564+00:00","updated_at":"2026-07-27T01:21:21.075564+00:00"}