{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MF7WIFM3R5ASTXTJ4NDMVBRT53","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":"162c157bf1edee05d1075deb91ab53b4223fd20a52473cc4840067a7d7c13910","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-14T17:34:11Z","title_canon_sha256":"ecbc43eedf7a235cc8aca57b63bda6165205c05e0895ac10c78fa3fa312bdbf7"},"schema_version":"1.0","source":{"id":"2212.07359","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.07359","created_at":"2026-07-05T05:25:24Z"},{"alias_kind":"arxiv_version","alias_value":"2212.07359v1","created_at":"2026-07-05T05:25:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.07359","created_at":"2026-07-05T05:25:24Z"},{"alias_kind":"pith_short_12","alias_value":"MF7WIFM3R5AS","created_at":"2026-07-05T05:25:24Z"},{"alias_kind":"pith_short_16","alias_value":"MF7WIFM3R5ASTXTJ","created_at":"2026-07-05T05:25:24Z"},{"alias_kind":"pith_short_8","alias_value":"MF7WIFM3","created_at":"2026-07-05T05:25:24Z"}],"graph_snapshots":[{"event_id":"sha256:814502124be519b6599f1de60a5b6d03d2af02046989ad0b5ea8bf776a8cc450","target":"graph","created_at":"2026-07-05T05:25:24Z","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/2212.07359/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"It is known that neural networks have the problem of being over-confident when directly using the output label distribution to generate uncertainty measures. Existing methods mainly resolve this issue by retraining the entire model to impose the uncertainty quantification capability so that the learned model can achieve desired performance in accuracy and uncertainty prediction simultaneously. However, training the model from scratch is computationally expensive and may not be feasible in many situations. In this work, we consider a more practical post-hoc uncertainty learning setting, where a","authors_text":"Gregory Wornell, Maohao Shen, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Yuheng Bu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-14T17:34:11Z","title":"Post-hoc Uncertainty Learning using a Dirichlet Meta-Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.07359","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:f35cda9e89dd8da7fb8a1a854d584ea66a9d6f5a8984dca8d0d951ac7aa293cd","target":"record","created_at":"2026-07-05T05:25:24Z","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":"162c157bf1edee05d1075deb91ab53b4223fd20a52473cc4840067a7d7c13910","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-14T17:34:11Z","title_canon_sha256":"ecbc43eedf7a235cc8aca57b63bda6165205c05e0895ac10c78fa3fa312bdbf7"},"schema_version":"1.0","source":{"id":"2212.07359","kind":"arxiv","version":1}},"canonical_sha256":"617f64159b8f4129de69e346ca8633eee4318c1ae55e3878e3bce5f5d6895101","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"617f64159b8f4129de69e346ca8633eee4318c1ae55e3878e3bce5f5d6895101","first_computed_at":"2026-07-05T05:25:24.281600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:25:24.281600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fAouetWqHr7uRlvLAlFUaYN91ICCHIedxiUh8KDVMQshnNmdEf6EocVIEiul/yAzd5sfnWCuYKCd8H7u0tDoBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:25:24.282000Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.07359","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f35cda9e89dd8da7fb8a1a854d584ea66a9d6f5a8984dca8d0d951ac7aa293cd","sha256:814502124be519b6599f1de60a5b6d03d2af02046989ad0b5ea8bf776a8cc450"],"state_sha256":"a911f8376c13494e3f0b107f76e930675ac18a5b40bf598e2742495644f1c0cb"}