{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EF7UGIRO5NPOPJMQSJ26LOJ2PL","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":"f21f48fd746dc4dd946400213666d70be00052cf4e39d880178e52e50f5e3f9c","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-20T20:51:46Z","title_canon_sha256":"467110b7825dd3965e355e2d20439f3e8530e876efc0b4fea5836b219c67ba6c"},"schema_version":"1.0","source":{"id":"2607.18503","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18503","created_at":"2026-07-22T00:22:51Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18503v1","created_at":"2026-07-22T00:22:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18503","created_at":"2026-07-22T00:22:51Z"},{"alias_kind":"pith_short_12","alias_value":"EF7UGIRO5NPO","created_at":"2026-07-22T00:22:51Z"},{"alias_kind":"pith_short_16","alias_value":"EF7UGIRO5NPOPJMQ","created_at":"2026-07-22T00:22:51Z"},{"alias_kind":"pith_short_8","alias_value":"EF7UGIRO","created_at":"2026-07-22T00:22:51Z"}],"graph_snapshots":[{"event_id":"sha256:86f4a100a780431b6a0f67b77dccad915a6bbde85856fac95ab8380bc60b9136","target":"graph","created_at":"2026-07-22T00:22:51Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.18503/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Two-sample Mendelian randomization (MR) uses genetic variants as instrumental variables to estimate causal effects from observational data using summary association statistics. However, horizontal pleiotropy can invalidate standard MR estimators and lead to biased causal inference. Pleiotropy-robust methods have been proposed to address this issue, including regularization-based approaches such as MR-Lasso. However, MR-Lasso may fail to identify invalid instruments consistently, and its post-selection inference can be unreliable. In this paper, we develop two lasso-type procedures for two-samp","authors_text":"Ishan S Bhatt, Kai Wang, Muhammad Qasim","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-20T20:51:46Z","title":"Adaptive Penalization and Bootstrap-Smoothed Inference for Two-Sample Mendelian Randomization with Summary Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18503","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":"sha256:2e0b9755749b84495c5456981a4e89765308aac22264891142caa93284e1bb4d","target":"record","created_at":"2026-07-22T00:22:51Z","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":"f21f48fd746dc4dd946400213666d70be00052cf4e39d880178e52e50f5e3f9c","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-20T20:51:46Z","title_canon_sha256":"467110b7825dd3965e355e2d20439f3e8530e876efc0b4fea5836b219c67ba6c"},"schema_version":"1.0","source":{"id":"2607.18503","kind":"arxiv","version":1}},"canonical_sha256":"217f43222eeb5ee7a5909275e5b93a7ae3198371278c3beca17da82ebd71ad3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"217f43222eeb5ee7a5909275e5b93a7ae3198371278c3beca17da82ebd71ad3e","first_computed_at":"2026-07-22T00:22:51.796936Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T00:22:51.796936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OvXgUBAkn1XziLtN/Qbh74yTu7dWDpns+kpbSLn48BJgFo4uL9B+M5vWoKzqNH/MRrTKsV38UhT8yVhQRIyJAQ==","signature_status":"signed_v1","signed_at":"2026-07-22T00:22:51.797750Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.18503","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e0b9755749b84495c5456981a4e89765308aac22264891142caa93284e1bb4d","sha256:86f4a100a780431b6a0f67b77dccad915a6bbde85856fac95ab8380bc60b9136"],"state_sha256":"ecc3c987c24283e66146ad3b706db163d5bb01ba75ab006c420b817766f8d991"}