{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:F7AVNCYJXFQKSE35IGTMWDMCVZ","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":"c1b6a3136560454158a9f89f6bc8c67cdc22e8dd3309952b1222b669e3b7ccb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-10T03:25:51Z","title_canon_sha256":"5e47e8befb852e8c0db8c993649c77e5eeae2f23c2ffb40ad6dc472d603247e1"},"schema_version":"1.0","source":{"id":"1802.03511","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.03511","created_at":"2026-05-18T00:23:51Z"},{"alias_kind":"arxiv_version","alias_value":"1802.03511v1","created_at":"2026-05-18T00:23:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.03511","created_at":"2026-05-18T00:23:51Z"},{"alias_kind":"pith_short_12","alias_value":"F7AVNCYJXFQK","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F7AVNCYJXFQKSE35","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F7AVNCYJ","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:434af8eb4603551b1b64102a99fd73d1fca2eecd638a0a65f0a9892ec54eb397","target":"graph","created_at":"2026-05-18T00:23:51Z","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"},"paper":{"abstract_excerpt":"Model selection strategies have been routinely employed to determine a model for data analysis in statistics, and further study and inference then often proceed as though the selected model were the true model that were known a priori. This practice does not account for the uncertainty introduced by the selection process and the fact that the selected model can possibly be a wrong one. Model averaging approaches try to remedy this issue by combining estimators for a set of candidate models. Specifically, instead of deciding which model is the 'right' one, a model averaging approach suggests to","authors_text":"Heng Lian, Hua Liang, Min-ge Xie, Priyam Mitra, Ritwik Mitra","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-10T03:25:51Z","title":"A General Framework For Frequentist Model Averaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.03511","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:bce86507b9257ae3e41a64f2f8d53e6176b42ea07916a47203896e7a1c8b0a95","target":"record","created_at":"2026-05-18T00:23:51Z","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":"c1b6a3136560454158a9f89f6bc8c67cdc22e8dd3309952b1222b669e3b7ccb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-10T03:25:51Z","title_canon_sha256":"5e47e8befb852e8c0db8c993649c77e5eeae2f23c2ffb40ad6dc472d603247e1"},"schema_version":"1.0","source":{"id":"1802.03511","kind":"arxiv","version":1}},"canonical_sha256":"2fc1568b09b960a9137d41a6cb0d82ae7781f420d42e5bc78131af29164b172c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fc1568b09b960a9137d41a6cb0d82ae7781f420d42e5bc78131af29164b172c","first_computed_at":"2026-05-18T00:23:51.336683Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:51.336683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lfkJY78pXUQQXxUIwECdiHbHkJbSbOTMuOw2N2fKpXQ2uyudHRJou8gDv68rznUaibkj5GcTgwB+92F1rEpDDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:51.337201Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.03511","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bce86507b9257ae3e41a64f2f8d53e6176b42ea07916a47203896e7a1c8b0a95","sha256:434af8eb4603551b1b64102a99fd73d1fca2eecd638a0a65f0a9892ec54eb397"],"state_sha256":"f8787999a8393c21f035336a2cad289c0b3ea679c6a5172256066d3f0ada99ef"}