{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZCRHKJYM3JCYS5FFUHLEPPVN2U","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":"35f6107e786ab9801c3a190168dda52accbe9f93775401ec06ddf0cd19baf627","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-14T18:00:11Z","title_canon_sha256":"1e488171b066f53ba930f1012974b175d2345575da08e72ba164db7c03158f9b"},"schema_version":"1.0","source":{"id":"2107.06908","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.06908","created_at":"2026-07-05T02:58:44Z"},{"alias_kind":"arxiv_version","alias_value":"2107.06908v2","created_at":"2026-07-05T02:58:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.06908","created_at":"2026-07-05T02:58:44Z"},{"alias_kind":"pith_short_12","alias_value":"ZCRHKJYM3JCY","created_at":"2026-07-05T02:58:44Z"},{"alias_kind":"pith_short_16","alias_value":"ZCRHKJYM3JCYS5FF","created_at":"2026-07-05T02:58:44Z"},{"alias_kind":"pith_short_8","alias_value":"ZCRHKJYM","created_at":"2026-07-05T02:58:44Z"}],"graph_snapshots":[{"event_id":"sha256:7c2adfd763f52294b2535d711631e2d8a13c88b777aa8705875256fdb31f08c2","target":"graph","created_at":"2026-07-05T02:58:44Z","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/2107.06908/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep generative models (DGMs) seem a natural fit for detecting out-of-distribution (OOD) inputs, but such models have been shown to assign higher probabilities or densities to OOD images than images from the training distribution. In this work, we explain why this behavior should be attributed to model misestimation. We first prove that no method can guarantee performance beyond random chance without assumptions on which out-distributions are relevant. We then interrogate the typical set hypothesis, the claim that relevant out-distributions can lie in high likelihood regions of the data distri","authors_text":"Lily H. Zhang, Mark Goldstein, Rajesh Ranganath","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-14T18:00:11Z","title":"Understanding Failures in Out-of-Distribution Detection with Deep Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.06908","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":"sha256:20ffd900f7f8880613a06630fd8f0eb69d9445a629f067f152292f16af3bb34b","target":"record","created_at":"2026-07-05T02:58:44Z","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":"35f6107e786ab9801c3a190168dda52accbe9f93775401ec06ddf0cd19baf627","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-14T18:00:11Z","title_canon_sha256":"1e488171b066f53ba930f1012974b175d2345575da08e72ba164db7c03158f9b"},"schema_version":"1.0","source":{"id":"2107.06908","kind":"arxiv","version":2}},"canonical_sha256":"c8a275270cda458974a5a1d647beadd50e0cd46fda4e1cc98bacf2cfb6ae8bc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8a275270cda458974a5a1d647beadd50e0cd46fda4e1cc98bacf2cfb6ae8bc9","first_computed_at":"2026-07-05T02:58:44.134490Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:44.134490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eXkdPxT5G0kXLfg2GSDmkVisizviMQYjcLthxa3xJSboEFmoGSMQ8M+68CKWWKjmSsYf7SwuCO8s21xst6kxBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:44.134832Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.06908","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:20ffd900f7f8880613a06630fd8f0eb69d9445a629f067f152292f16af3bb34b","sha256:7c2adfd763f52294b2535d711631e2d8a13c88b777aa8705875256fdb31f08c2"],"state_sha256":"e4efab99a1749048084bd5f0e519e5e6f52b633811117fd09f3c364a838b0e3d"}