{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JOJDLXQEOLFI5ZQZZEDBOJJ5LA","short_pith_number":"pith:JOJDLXQE","canonical_record":{"source":{"id":"2201.03263","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-10T10:29:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"15d1c177c6e5cc5154025e6490ba384f1e2ddcd1403c251bed07c460c205a7eb","abstract_canon_sha256":"cf980d4fcff911bde775cd731cb8dce80fb674a077af2633574513d02dd7a36e"},"schema_version":"1.0"},"canonical_sha256":"4b9235de0472ca8ee619c90617253d5832609ffedf6feb4322ece1657fdb603c","source":{"kind":"arxiv","id":"2201.03263","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.03263","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"arxiv_version","alias_value":"2201.03263v1","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.03263","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"pith_short_12","alias_value":"JOJDLXQEOLFI","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"pith_short_16","alias_value":"JOJDLXQEOLFI5ZQZ","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"pith_short_8","alias_value":"JOJDLXQE","created_at":"2026-07-05T03:47:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JOJDLXQEOLFI5ZQZZEDBOJJ5LA","target":"record","payload":{"canonical_record":{"source":{"id":"2201.03263","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-10T10:29:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"15d1c177c6e5cc5154025e6490ba384f1e2ddcd1403c251bed07c460c205a7eb","abstract_canon_sha256":"cf980d4fcff911bde775cd731cb8dce80fb674a077af2633574513d02dd7a36e"},"schema_version":"1.0"},"canonical_sha256":"4b9235de0472ca8ee619c90617253d5832609ffedf6feb4322ece1657fdb603c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:47:07.800740Z","signature_b64":"ZHk0kMekfTPVzytFjvTiozQnG6VbdJGQYx4KjYeXavvP+hvmSVbnpK1kKieISL5CWmyR9wF0aucsJ8/Vq100BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b9235de0472ca8ee619c90617253d5832609ffedf6feb4322ece1657fdb603c","last_reissued_at":"2026-07-05T03:47:07.800246Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:47:07.800246Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.03263","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:47:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GkHlYVCk6X24ac/erBCnKF8DACLLGJy5Rh3VIQui+hjwZw/mWKzFT+/5sVWB8lTXGMWIpoRKgW/wOLli21KWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:08:34.324374Z"},"content_sha256":"80515f2e4f7b1b08e3325f0d9662194b5bc66d8f823e7c1f58dc28ce5b59654b","schema_version":"1.0","event_id":"sha256:80515f2e4f7b1b08e3325f0d9662194b5bc66d8f823e7c1f58dc28ce5b59654b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JOJDLXQEOLFI5ZQZZEDBOJJ5LA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Lisa J\\\"ockel, Michael Kl\\\"as, Pascal Gerber","submitted_at":"2022-01-10T10:29:12Z","abstract_excerpt":"Outcomes of data-driven AI models cannot be assumed to be always correct. To estimate the uncertainty in these outcomes, the uncertainty wrapper framework has been proposed, which considers uncertainties related to model fit, input quality, and scope compliance. Uncertainty wrappers use a decision tree approach to cluster input quality related uncertainties, assigning inputs strictly to distinct uncertainty clusters. Hence, a slight variation in only one feature may lead to a cluster assignment with a significantly different uncertainty. Our objective is to replace this with an approach that m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.03263","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2201.03263/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:47:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mynMQ4/PUSsNCN3pDkpZfmN0uWqIbKlWJThGJqbXuitpPh6VhaTKw4shlXGuduAanrM6khUdTOKlu56AdNX+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:08:34.324744Z"},"content_sha256":"ad964b1303305f01e10689716cd826b56495f119b32d7eb1ec7ed13703a8236e","schema_version":"1.0","event_id":"sha256:ad964b1303305f01e10689716cd826b56495f119b32d7eb1ec7ed13703a8236e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA/bundle.json","state_url":"https://pith.science/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-05T11:08:34Z","links":{"resolver":"https://pith.science/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA","bundle":"https://pith.science/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA/bundle.json","state":"https://pith.science/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JOJDLXQEOLFI5ZQZZEDBOJJ5LA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JOJDLXQEOLFI5ZQZZEDBOJJ5LA","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":"cf980d4fcff911bde775cd731cb8dce80fb674a077af2633574513d02dd7a36e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-10T10:29:12Z","title_canon_sha256":"15d1c177c6e5cc5154025e6490ba384f1e2ddcd1403c251bed07c460c205a7eb"},"schema_version":"1.0","source":{"id":"2201.03263","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.03263","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"arxiv_version","alias_value":"2201.03263v1","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.03263","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"pith_short_12","alias_value":"JOJDLXQEOLFI","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"pith_short_16","alias_value":"JOJDLXQEOLFI5ZQZ","created_at":"2026-07-05T03:47:07Z"},{"alias_kind":"pith_short_8","alias_value":"JOJDLXQE","created_at":"2026-07-05T03:47:07Z"}],"graph_snapshots":[{"event_id":"sha256:ad964b1303305f01e10689716cd826b56495f119b32d7eb1ec7ed13703a8236e","target":"graph","created_at":"2026-07-05T03:47:07Z","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/2201.03263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Outcomes of data-driven AI models cannot be assumed to be always correct. To estimate the uncertainty in these outcomes, the uncertainty wrapper framework has been proposed, which considers uncertainties related to model fit, input quality, and scope compliance. Uncertainty wrappers use a decision tree approach to cluster input quality related uncertainties, assigning inputs strictly to distinct uncertainty clusters. Hence, a slight variation in only one feature may lead to a cluster assignment with a significantly different uncertainty. Our objective is to replace this with an approach that m","authors_text":"Lisa J\\\"ockel, Michael Kl\\\"as, Pascal Gerber","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-10T10:29:12Z","title":"A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.03263","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":"sha256:80515f2e4f7b1b08e3325f0d9662194b5bc66d8f823e7c1f58dc28ce5b59654b","target":"record","created_at":"2026-07-05T03:47:07Z","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":"cf980d4fcff911bde775cd731cb8dce80fb674a077af2633574513d02dd7a36e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-10T10:29:12Z","title_canon_sha256":"15d1c177c6e5cc5154025e6490ba384f1e2ddcd1403c251bed07c460c205a7eb"},"schema_version":"1.0","source":{"id":"2201.03263","kind":"arxiv","version":1}},"canonical_sha256":"4b9235de0472ca8ee619c90617253d5832609ffedf6feb4322ece1657fdb603c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b9235de0472ca8ee619c90617253d5832609ffedf6feb4322ece1657fdb603c","first_computed_at":"2026-07-05T03:47:07.800246Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:47:07.800246Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZHk0kMekfTPVzytFjvTiozQnG6VbdJGQYx4KjYeXavvP+hvmSVbnpK1kKieISL5CWmyR9wF0aucsJ8/Vq100BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:47:07.800740Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.03263","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:80515f2e4f7b1b08e3325f0d9662194b5bc66d8f823e7c1f58dc28ce5b59654b","sha256:ad964b1303305f01e10689716cd826b56495f119b32d7eb1ec7ed13703a8236e"],"state_sha256":"e38adc9aba771226ac2129e7f92355cd64ee3646ec4110a6f08fdaded5a17450"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yuPctMlDQq1XhYNkRhJwMsubkK4mNEXeuKqxUh2RLI9u5ymEtJTzzwUrMQ3Ty29apH0abuQBYQu7IDdrouTSBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T11:08:34.326732Z","bundle_sha256":"2d8774ed64655349731bcb2b696eb2e2ba46fd7de1db3550cadfcea339e57df2"}}