{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IM72NOCM5XOQDXUYPAK6CGVF5Q","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":"869150b77108092875ec1f6c78d65b884bcb2b06a3a8f7976f42ee5ea36cc715","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-07T14:13:51Z","title_canon_sha256":"54220d70ddbfdfa140c91bebe5d5d6c0bbf247d945a45a14ff74941612fce97d"},"schema_version":"1.0","source":{"id":"2502.04949","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04949","created_at":"2026-07-05T11:05:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04949v2","created_at":"2026-07-05T11:05:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04949","created_at":"2026-07-05T11:05:39Z"},{"alias_kind":"pith_short_12","alias_value":"IM72NOCM5XOQ","created_at":"2026-07-05T11:05:39Z"},{"alias_kind":"pith_short_16","alias_value":"IM72NOCM5XOQDXUY","created_at":"2026-07-05T11:05:39Z"},{"alias_kind":"pith_short_8","alias_value":"IM72NOCM","created_at":"2026-07-05T11:05:39Z"}],"graph_snapshots":[{"event_id":"sha256:023b6621fc643e3f65c6d5f0a1ecfd983d038d8acd5cb24843781d9e84274332","target":"graph","created_at":"2026-07-05T11:05:39Z","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/2502.04949/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural networks are fragile when confronted with data that significantly deviates from their training distribution. This is true in particular for simulation-based inference methods, such as neural amortized Bayesian inference (ABI), where models trained on simulated data are deployed on noisy real-world observations. Recent robust approaches employ unsupervised domain adaptation (UDA) to match the embedding spaces of simulated and observed data. However, the lack of comprehensive evaluations across different domain mismatches raises concerns about the reliability in high-stakes applications. ","authors_text":"Andreas Voss, Lasse Elsem\\\"uller, Mischa von Krause, Paul-Christian B\\\"urkner, Stefan T. Radev, Valentin Pratz","cross_cats":["cs.LG","stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-07T14:13:51Z","title":"Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04949","kind":"arxiv","version":2},"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":"sha256:53ed2803addbc3f94222ae97269c789c5c3274991edc3538bb4e205300aa95f2","target":"record","created_at":"2026-07-05T11:05:39Z","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":"869150b77108092875ec1f6c78d65b884bcb2b06a3a8f7976f42ee5ea36cc715","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-07T14:13:51Z","title_canon_sha256":"54220d70ddbfdfa140c91bebe5d5d6c0bbf247d945a45a14ff74941612fce97d"},"schema_version":"1.0","source":{"id":"2502.04949","kind":"arxiv","version":2}},"canonical_sha256":"433fa6b84ceddd01de987815e11aa5ec0326d2f98f8b31755e693f6c3ee151f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"433fa6b84ceddd01de987815e11aa5ec0326d2f98f8b31755e693f6c3ee151f2","first_computed_at":"2026-07-05T11:05:39.767390Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:39.767390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kZ8B9zE5mLChIUmlNMbZmHe+AIV1AAJ1Ml8J/mGlC0IfkmOxF+KNUh47l6zDWZ010tKa4nI14oDnNh2bo73rAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:39.767855Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04949","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53ed2803addbc3f94222ae97269c789c5c3274991edc3538bb4e205300aa95f2","sha256:023b6621fc643e3f65c6d5f0a1ecfd983d038d8acd5cb24843781d9e84274332"],"state_sha256":"36b6c3f48829293db468b94b64b2729cd3f2dc845ccf0db6f0a312afe45a18cd"}