{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DLGETCOO6X2WE6JG7NFW3S33YM","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":"d6b3104455c1a055824b673e0e2583f85ab8d7ca7a6522600419cf4b8e6756f1","cross_cats_sorted":["stat.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-15T18:30:49Z","title_canon_sha256":"efc8db5c18ca9d21bd7f1dc7b50128c5a9cca2298fc1b14ae87d230748dc6965"},"schema_version":"1.0","source":{"id":"2607.14274","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14274","created_at":"2026-07-17T00:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14274v1","created_at":"2026-07-17T00:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14274","created_at":"2026-07-17T00:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"DLGETCOO6X2W","created_at":"2026-07-17T00:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"DLGETCOO6X2WE6JG","created_at":"2026-07-17T00:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"DLGETCOO","created_at":"2026-07-17T00:21:02Z"}],"graph_snapshots":[{"event_id":"sha256:fa5541064bdd0de4b6860d8b9fa077f7691354819fa4eda809b1fbd7f5fa86fc","target":"graph","created_at":"2026-07-17T00:21:02Z","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/2607.14274/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The paper investigates Bayesian Model Averaging and Selection (BMA/S) under non-standard stochastic assumptions, focusing on stochastic frontier analysis (SFA). We propose fast, reliable procedures for inference in the normal-exponential stochastic frontier model and examine whether accounting for asymmetric disturbances affects model averaging and/or selection outcomes relative to the conventional Gaussian-error BMA/S. Particular attention is given to moderate-dimensional covariate selection problems typical in SFA applications. We demonstrate that, with appropriate search strategies and para","authors_text":"Kamil Makie{\\l}a","cross_cats":["stat.CO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-15T18:30:49Z","title":"Model Uncertainty under Non-Gaussian Errors: Bayesian Model Averaging and Selection in Stochastic Frontier Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14274","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":"sha256:95a3488ab8ea0a37da38401eae14964c8d8474b0bdbb1b2a6c7961679f82a775","target":"record","created_at":"2026-07-17T00:21:02Z","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":"d6b3104455c1a055824b673e0e2583f85ab8d7ca7a6522600419cf4b8e6756f1","cross_cats_sorted":["stat.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-15T18:30:49Z","title_canon_sha256":"efc8db5c18ca9d21bd7f1dc7b50128c5a9cca2298fc1b14ae87d230748dc6965"},"schema_version":"1.0","source":{"id":"2607.14274","kind":"arxiv","version":1}},"canonical_sha256":"1acc4989cef5f5627926fb4b6dcb7bc328be4b80bda80083abc466cdf746c624","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1acc4989cef5f5627926fb4b6dcb7bc328be4b80bda80083abc466cdf746c624","first_computed_at":"2026-07-17T00:21:02.725705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T00:21:02.725705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3WVuYpfmCNxA3svEladGXu2kyQhw/B/UqufniqWzR1UmyHCuEVGZYhUlac+DUWZfhkoKjmQbc28XFrUjJdwIBA==","signature_status":"signed_v1","signed_at":"2026-07-17T00:21:02.726554Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.14274","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:95a3488ab8ea0a37da38401eae14964c8d8474b0bdbb1b2a6c7961679f82a775","sha256:fa5541064bdd0de4b6860d8b9fa077f7691354819fa4eda809b1fbd7f5fa86fc"],"state_sha256":"57a6a7fefeb4a3c11aad068adeb7a56f3f6afdd8c00019c2fc30ffd942d7d766"}