{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:PXXORUCRZ6YE7ZQJ5FM2N6L6QE","short_pith_number":"pith:PXXORUCR","schema_version":"1.0","canonical_sha256":"7deee8d051cfb04fe609e959a6f97e8131ba9e2f7aa9ea55cdc62b5d8f125dc2","source":{"kind":"arxiv","id":"2605.26023","version":1},"attestation_state":"computed","paper":{"title":"Considering causality in the construction of molecular signatures of lifestyle exposures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Diana Wu, Vivian Viallon","submitted_at":"2026-05-25T16:44:52Z","abstract_excerpt":"Molecular signatures derived from omics data are increasingly used in epidemiological studies to characterize lifestyle exposures, either as proxies of exposure or to provide insight into disease mechanisms. These signatures are typically constructed by regressing the exposure on high-dimensional omics features. In the literature, an initial univariate screening step has sometimes been applied prior to multivariate modelling, but the causal implications of this choice have not yet been considered. Focusing on settings where the exposure causally influences molecular features (and not the rever"},"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":"2605.26023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-05-25T16:44:52Z","cross_cats_sorted":[],"title_canon_sha256":"1250e429797c0659f74892b8450339e64c0d1ccde4adf1dec35da026635887c5","abstract_canon_sha256":"ed40639a4f2ecee4ce32a86f1592998905097b52191a3d2fd078b541deb08015"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:05:23.794893Z","signature_b64":"6sF5LGizyphsOkosPQ1xNKyCrxnIzgZSpeVgQUm36/Qa9HKCcRGQo8SKsp4qAyxvTBDf+OQIAuGqXMClwgRjBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7deee8d051cfb04fe609e959a6f97e8131ba9e2f7aa9ea55cdc62b5d8f125dc2","last_reissued_at":"2026-05-26T02:05:23.794107Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:05:23.794107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Considering causality in the construction of molecular signatures of lifestyle exposures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Diana Wu, Vivian Viallon","submitted_at":"2026-05-25T16:44:52Z","abstract_excerpt":"Molecular signatures derived from omics data are increasingly used in epidemiological studies to characterize lifestyle exposures, either as proxies of exposure or to provide insight into disease mechanisms. These signatures are typically constructed by regressing the exposure on high-dimensional omics features. In the literature, an initial univariate screening step has sometimes been applied prior to multivariate modelling, but the causal implications of this choice have not yet been considered. Focusing on settings where the exposure causally influences molecular features (and not the rever"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26023","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/2605.26023/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":"2605.26023","created_at":"2026-05-26T02:05:23.794229+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.26023v1","created_at":"2026-05-26T02:05:23.794229+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26023","created_at":"2026-05-26T02:05:23.794229+00:00"},{"alias_kind":"pith_short_12","alias_value":"PXXORUCRZ6YE","created_at":"2026-05-26T02:05:23.794229+00:00"},{"alias_kind":"pith_short_16","alias_value":"PXXORUCRZ6YE7ZQJ","created_at":"2026-05-26T02:05:23.794229+00:00"},{"alias_kind":"pith_short_8","alias_value":"PXXORUCR","created_at":"2026-05-26T02:05:23.794229+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/PXXORUCRZ6YE7ZQJ5FM2N6L6QE","json":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE.json","graph_json":"https://pith.science/api/pith-number/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/graph.json","events_json":"https://pith.science/api/pith-number/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/events.json","paper":"https://pith.science/paper/PXXORUCR"},"agent_actions":{"view_html":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE","download_json":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE.json","view_paper":"https://pith.science/paper/PXXORUCR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.26023&json=true","fetch_graph":"https://pith.science/api/pith-number/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/graph.json","fetch_events":"https://pith.science/api/pith-number/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/action/storage_attestation","attest_author":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/action/author_attestation","sign_citation":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/action/citation_signature","submit_replication":"https://pith.science/pith/PXXORUCRZ6YE7ZQJ5FM2N6L6QE/action/replication_record"}},"created_at":"2026-05-26T02:05:23.794229+00:00","updated_at":"2026-05-26T02:05:23.794229+00:00"}