{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ALOUF347EN3KXRYXWRNEB7SJW4","short_pith_number":"pith:ALOUF347","schema_version":"1.0","canonical_sha256":"02dd42ef9f2376abc717b45a40fe49b72172a38973927d543f5e4f9233be68fd","source":{"kind":"arxiv","id":"2607.04036","version":1},"attestation_state":"computed","paper":{"title":"B-CALM: Bias-Limited Bayesian Borrowing for RCT-Anchored Treatment Effects under Covariate Mismatch","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Amir Asiaee, Samhita Pal","submitted_at":"2026-07-04T21:36:12Z","abstract_excerpt":"Randomized controlled trials (RCTs) identify treatment effects in the randomized trial population but are often too small for reliable heterogeneity estimation; observational studies (OS) are larger but confounded and measured on only partially overlapping covariates. We develop Bayesian Calibrated ALignment under covariate Mismatch (B-CALM), a Bayesian borrowing method for RCT-defined conditional average treatment effect (CATE) estimation. B-CALM maps source-specific covariates into a shared latent state, jointly models trial and observational outcome surfaces, and uses baseline-bias and comp"},"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":"2607.04036","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-04T21:36:12Z","cross_cats_sorted":[],"title_canon_sha256":"ae460eeffcc21e848a08aeead88604572dfacb2b73d9764d33858bdfc98c6f70","abstract_canon_sha256":"c9ad8399c4af57c7ec63c9b3e9fc812d0809b4c131de0d77dfbec8dc7b696aa1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:18:54.394262Z","signature_b64":"o3LVRU+RVdp1J6ffBepnBx58vVezR2BXO1XauHebbXIaTAv1fcTfbM1MWEsg7JKS4Jegf5Mkqp29hHC2H4MBCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02dd42ef9f2376abc717b45a40fe49b72172a38973927d543f5e4f9233be68fd","last_reissued_at":"2026-07-07T02:18:54.393402Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:18:54.393402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"B-CALM: Bias-Limited Bayesian Borrowing for RCT-Anchored Treatment Effects under Covariate Mismatch","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Amir Asiaee, Samhita Pal","submitted_at":"2026-07-04T21:36:12Z","abstract_excerpt":"Randomized controlled trials (RCTs) identify treatment effects in the randomized trial population but are often too small for reliable heterogeneity estimation; observational studies (OS) are larger but confounded and measured on only partially overlapping covariates. We develop Bayesian Calibrated ALignment under covariate Mismatch (B-CALM), a Bayesian borrowing method for RCT-defined conditional average treatment effect (CATE) estimation. B-CALM maps source-specific covariates into a shared latent state, jointly models trial and observational outcome surfaces, and uses baseline-bias and comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04036","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/2607.04036/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":"2607.04036","created_at":"2026-07-07T02:18:54.393541+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.04036v1","created_at":"2026-07-07T02:18:54.393541+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04036","created_at":"2026-07-07T02:18:54.393541+00:00"},{"alias_kind":"pith_short_12","alias_value":"ALOUF347EN3K","created_at":"2026-07-07T02:18:54.393541+00:00"},{"alias_kind":"pith_short_16","alias_value":"ALOUF347EN3KXRYX","created_at":"2026-07-07T02:18:54.393541+00:00"},{"alias_kind":"pith_short_8","alias_value":"ALOUF347","created_at":"2026-07-07T02:18:54.393541+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/ALOUF347EN3KXRYXWRNEB7SJW4","json":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4.json","graph_json":"https://pith.science/api/pith-number/ALOUF347EN3KXRYXWRNEB7SJW4/graph.json","events_json":"https://pith.science/api/pith-number/ALOUF347EN3KXRYXWRNEB7SJW4/events.json","paper":"https://pith.science/paper/ALOUF347"},"agent_actions":{"view_html":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4","download_json":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4.json","view_paper":"https://pith.science/paper/ALOUF347","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.04036&json=true","fetch_graph":"https://pith.science/api/pith-number/ALOUF347EN3KXRYXWRNEB7SJW4/graph.json","fetch_events":"https://pith.science/api/pith-number/ALOUF347EN3KXRYXWRNEB7SJW4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4/action/storage_attestation","attest_author":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4/action/author_attestation","sign_citation":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4/action/citation_signature","submit_replication":"https://pith.science/pith/ALOUF347EN3KXRYXWRNEB7SJW4/action/replication_record"}},"created_at":"2026-07-07T02:18:54.393541+00:00","updated_at":"2026-07-07T02:18:54.393541+00:00"}