{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Y52BVOGGXCMSBSRFOPI5MVZY7A","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":"68be013f5fc12f5283081cd47ae836eb0fe0482fc292d5d8a03e514c65ed2762","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-13T17:05:27Z","title_canon_sha256":"bf5b31781ae2f58476f7ce270cff4d298b7130466ce964d1901d9a0074b3529b"},"schema_version":"1.0","source":{"id":"2206.06317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.06317","created_at":"2026-07-05T04:31:17Z"},{"alias_kind":"arxiv_version","alias_value":"2206.06317v1","created_at":"2026-07-05T04:31:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.06317","created_at":"2026-07-05T04:31:17Z"},{"alias_kind":"pith_short_12","alias_value":"Y52BVOGGXCMS","created_at":"2026-07-05T04:31:17Z"},{"alias_kind":"pith_short_16","alias_value":"Y52BVOGGXCMSBSRF","created_at":"2026-07-05T04:31:17Z"},{"alias_kind":"pith_short_8","alias_value":"Y52BVOGG","created_at":"2026-07-05T04:31:17Z"}],"graph_snapshots":[{"event_id":"sha256:f460c9e5cf76302f893f066bf107655d721299402a4c8a67893acb3a6d476b5d","target":"graph","created_at":"2026-07-05T04:31:17Z","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/2206.06317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The inability of artificial neural networks to assess the uncertainty of their predictions is an impediment to their widespread use. We distinguish two types of learnable uncertainty: model uncertainty due to a lack of training data and noise-induced observational uncertainty. Bayesian neural networks use solid mathematical foundations to learn the model uncertainties of their predictions. The observational uncertainty can be calculated by adding one layer to these networks and augmenting their loss functions. Our contribution is to apply these uncertainty concepts to predictive process monito","authors_text":"Hans Weytjens, Jochen De Weerdt","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-13T17:05:27Z","title":"Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.06317","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":"sha256:988cba82035f0049c7ac7d53210c74cca64e81eef77807e4e3dd270683e86787","target":"record","created_at":"2026-07-05T04:31:17Z","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":"68be013f5fc12f5283081cd47ae836eb0fe0482fc292d5d8a03e514c65ed2762","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-13T17:05:27Z","title_canon_sha256":"bf5b31781ae2f58476f7ce270cff4d298b7130466ce964d1901d9a0074b3529b"},"schema_version":"1.0","source":{"id":"2206.06317","kind":"arxiv","version":1}},"canonical_sha256":"c7741ab8c6b89920ca2573d1d65738f80d94e471b4fa3f0e338e136fc2139d4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7741ab8c6b89920ca2573d1d65738f80d94e471b4fa3f0e338e136fc2139d4c","first_computed_at":"2026-07-05T04:31:17.986959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:31:17.986959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E/QQB7KwgNjT9vI7bI/UueRgs6Td6aaPE0inJWpsP5fDhdm03KCD4usqH057HMxuYDvB9h5ZA6eJhGlL0aEQAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:31:17.987445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.06317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:988cba82035f0049c7ac7d53210c74cca64e81eef77807e4e3dd270683e86787","sha256:f460c9e5cf76302f893f066bf107655d721299402a4c8a67893acb3a6d476b5d"],"state_sha256":"12e4ba2ba24399cafa6325eef5f27dabb6692ae0539ee490f5f700dcdbcd2f19"}