{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CVCAZD7DVUK22NOEF7LIPMOOI6","short_pith_number":"pith:CVCAZD7D","canonical_record":{"source":{"id":"2303.01156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-02T11:01:49Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"508ded4c2d49feb40c21d6031986962509ec04222505e1bc729ca37eb2d4644d","abstract_canon_sha256":"43f15a132848eb6749c0f70a18e51b17f1e12af5d2601c521d5e07e350ede74d"},"schema_version":"1.0"},"canonical_sha256":"15440c8fe3ad15ad35c42fd687b1ce47ae8a57678772fde5b2c8cf171235a776","source":{"kind":"arxiv","id":"2303.01156","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01156","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01156v1","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01156","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"CVCAZD7DVUK2","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"CVCAZD7DVUK22NOE","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"CVCAZD7D","created_at":"2026-07-05T05:47:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CVCAZD7DVUK22NOEF7LIPMOOI6","target":"record","payload":{"canonical_record":{"source":{"id":"2303.01156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-02T11:01:49Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"508ded4c2d49feb40c21d6031986962509ec04222505e1bc729ca37eb2d4644d","abstract_canon_sha256":"43f15a132848eb6749c0f70a18e51b17f1e12af5d2601c521d5e07e350ede74d"},"schema_version":"1.0"},"canonical_sha256":"15440c8fe3ad15ad35c42fd687b1ce47ae8a57678772fde5b2c8cf171235a776","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:47:27.595083Z","signature_b64":"QTzquvCplKaYa4XsjH3dK0MmE10Nv4MRva1MiuayzfWo81baTI+EwZvD6XEqjznVZNJsToqzhVgiuNDN0PusBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15440c8fe3ad15ad35c42fd687b1ce47ae8a57678772fde5b2c8cf171235a776","last_reissued_at":"2026-07-05T05:47:27.594645Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:47:27.594645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.01156","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":"2026-07-05T05:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HqeJI0/jMOUTXZKUSsCmU3SF4kW8/AaCV3WdYDzWtqnu0zxNwO2CGfnQ75Vd3thfCCRkSpfPCZrreyoS84y4Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:49:50.296362Z"},"content_sha256":"8bc55825a0f25dda2dffff1b2a3fdb56e1f5008f71a1d21802b2882df7cf39d1","schema_version":"1.0","event_id":"sha256:8bc55825a0f25dda2dffff1b2a3fdb56e1f5008f71a1d21802b2882df7cf39d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CVCAZD7DVUK22NOEF7LIPMOOI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"stat.ML","authors_text":"Lena Krieg, Max Hahn-Klimroth, Yannick Gerstorfer","submitted_at":"2023-03-02T11:01:49Z","abstract_excerpt":"In many studies, we want to determine the influence of certain features on a dependent variable. More specifically, we are interested in the strength of the influence -- i.e., is the feature relevant? -- and, if so, how the feature influences the dependent variable. Recently, data-driven approaches such as \\emph{random forest regression} have found their way into applications (Boulesteix et al., 2012). These models allow to directly derive measures of feature importance, which are a natural indicator of the strength of the influence. For the relevant features, the correlation or rank correlati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01156","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/2303.01156/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":"2026-07-05T05:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JNVnjmcBaBSWS7l5k+oVzPbHpbTXdpfQsSHJKh2I1j6cbvzqGXO+KeDcWro8SEWhXPHxLahdy7u7lNJhFLjcDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:49:50.296734Z"},"content_sha256":"0c50e307e1137eff54b1b5c02b4bec4d37bb33661dd0339894581c5aecdf062b","schema_version":"1.0","event_id":"sha256:0c50e307e1137eff54b1b5c02b4bec4d37bb33661dd0339894581c5aecdf062b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CVCAZD7DVUK22NOEF7LIPMOOI6/bundle.json","state_url":"https://pith.science/pith/CVCAZD7DVUK22NOEF7LIPMOOI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CVCAZD7DVUK22NOEF7LIPMOOI6/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":"2026-07-06T14:49:50Z","links":{"resolver":"https://pith.science/pith/CVCAZD7DVUK22NOEF7LIPMOOI6","bundle":"https://pith.science/pith/CVCAZD7DVUK22NOEF7LIPMOOI6/bundle.json","state":"https://pith.science/pith/CVCAZD7DVUK22NOEF7LIPMOOI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CVCAZD7DVUK22NOEF7LIPMOOI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CVCAZD7DVUK22NOEF7LIPMOOI6","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":"43f15a132848eb6749c0f70a18e51b17f1e12af5d2601c521d5e07e350ede74d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-02T11:01:49Z","title_canon_sha256":"508ded4c2d49feb40c21d6031986962509ec04222505e1bc729ca37eb2d4644d"},"schema_version":"1.0","source":{"id":"2303.01156","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01156","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01156v1","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01156","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"CVCAZD7DVUK2","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"CVCAZD7DVUK22NOE","created_at":"2026-07-05T05:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"CVCAZD7D","created_at":"2026-07-05T05:47:27Z"}],"graph_snapshots":[{"event_id":"sha256:0c50e307e1137eff54b1b5c02b4bec4d37bb33661dd0339894581c5aecdf062b","target":"graph","created_at":"2026-07-05T05:47:27Z","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/2303.01156/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In many studies, we want to determine the influence of certain features on a dependent variable. More specifically, we are interested in the strength of the influence -- i.e., is the feature relevant? -- and, if so, how the feature influences the dependent variable. Recently, data-driven approaches such as \\emph{random forest regression} have found their way into applications (Boulesteix et al., 2012). These models allow to directly derive measures of feature importance, which are a natural indicator of the strength of the influence. For the relevant features, the correlation or rank correlati","authors_text":"Lena Krieg, Max Hahn-Klimroth, Yannick Gerstorfer","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-02T11:01:49Z","title":"A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01156","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":"sha256:8bc55825a0f25dda2dffff1b2a3fdb56e1f5008f71a1d21802b2882df7cf39d1","target":"record","created_at":"2026-07-05T05:47:27Z","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":"43f15a132848eb6749c0f70a18e51b17f1e12af5d2601c521d5e07e350ede74d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-02T11:01:49Z","title_canon_sha256":"508ded4c2d49feb40c21d6031986962509ec04222505e1bc729ca37eb2d4644d"},"schema_version":"1.0","source":{"id":"2303.01156","kind":"arxiv","version":1}},"canonical_sha256":"15440c8fe3ad15ad35c42fd687b1ce47ae8a57678772fde5b2c8cf171235a776","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15440c8fe3ad15ad35c42fd687b1ce47ae8a57678772fde5b2c8cf171235a776","first_computed_at":"2026-07-05T05:47:27.594645Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:27.594645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QTzquvCplKaYa4XsjH3dK0MmE10Nv4MRva1MiuayzfWo81baTI+EwZvD6XEqjznVZNJsToqzhVgiuNDN0PusBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:27.595083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.01156","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bc55825a0f25dda2dffff1b2a3fdb56e1f5008f71a1d21802b2882df7cf39d1","sha256:0c50e307e1137eff54b1b5c02b4bec4d37bb33661dd0339894581c5aecdf062b"],"state_sha256":"a9641c5849208ed72a4d59ecffd448b7afcd3dc4f343aa282472eff6f9c8f3d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jgg3U1F7UNMuE4vS/FYaDWqGzC9qfVj9Cb71kmh0axaYJPTBRhCQ39e5DcluV51Tt6lgdgudrSpX02udAsiuAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T14:49:50.298716Z","bundle_sha256":"a2579fc5d17b06011f02ccbb09b38e6a219ce0e74347a50151b61a4cd14f4935"}}