{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4WDQR2BM5BJLJ3MEWL36HP2PDL","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":"a53b389111f7cfc3bc3e5b830451bf6089294f832af0d6bf14b2630038a7687e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-21T14:36:03Z","title_canon_sha256":"8e53dae213a63d4494d123daf6dde0cc4a81ee184f592b1e992a21eaf4390f60"},"schema_version":"1.0","source":{"id":"2306.12306","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12306","created_at":"2026-07-05T07:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12306v3","created_at":"2026-07-05T07:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12306","created_at":"2026-07-05T07:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"4WDQR2BM5BJL","created_at":"2026-07-05T07:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"4WDQR2BM5BJLJ3ME","created_at":"2026-07-05T07:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"4WDQR2BM","created_at":"2026-07-05T07:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:b36f4bda5a9fcd5ced58a70c9e6f27837b974a1b118c5a90a72911d8a549504b","target":"graph","created_at":"2026-07-05T07:04:48Z","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/2306.12306/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bayesian deep learning (BDL) is a promising approach to achieve well-calibrated predictions on distribution-shifted data. Nevertheless, there exists no large-scale survey that evaluates recent SOTA methods on diverse, realistic, and challenging benchmark tasks in a systematic manner. To provide a clear picture of the current state of BDL research, we evaluate modern BDL algorithms on real-world datasets from the WILDS collection containing challenging classification and regression tasks, with a focus on generalization capability and calibration under distribution shift. We compare the algorith","authors_text":"Florian Seligmann, Gerhard Neumann, Michael Volpp, Philipp Becker","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-21T14:36:03Z","title":"Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12306","kind":"arxiv","version":3},"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":"sha256:634b1515c7f413edc12042e5ba7a04dd63b95e980873f593a883ce539ed6ce05","target":"record","created_at":"2026-07-05T07:04:48Z","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":"a53b389111f7cfc3bc3e5b830451bf6089294f832af0d6bf14b2630038a7687e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-21T14:36:03Z","title_canon_sha256":"8e53dae213a63d4494d123daf6dde0cc4a81ee184f592b1e992a21eaf4390f60"},"schema_version":"1.0","source":{"id":"2306.12306","kind":"arxiv","version":3}},"canonical_sha256":"e58708e82ce852b4ed84b2f7e3bf4f1aedf8e680e766752a4ca13202edd826ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e58708e82ce852b4ed84b2f7e3bf4f1aedf8e680e766752a4ca13202edd826ed","first_computed_at":"2026-07-05T07:04:48.459713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:48.459713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mOOjCpSZNxkSy5vvAvRPDZp+v3clpfqEK6Wi87JD3zm+wRDn5XCO0OntyoRkpBQqMofJiyRZPD2tVJXgY6eZDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:48.460111Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.12306","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:634b1515c7f413edc12042e5ba7a04dd63b95e980873f593a883ce539ed6ce05","sha256:b36f4bda5a9fcd5ced58a70c9e6f27837b974a1b118c5a90a72911d8a549504b"],"state_sha256":"c2251cf952350945949000f9cd96a4448e2a4c7d900354a5f08da219080a66d7"}