{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:VG2C5DPGZK52AYJODTUWSRZMYS","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":"4ef384669ed54cae3616a3e341fcd70c9418ae9aa55abc985ec6a3c637900bee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-01-10T15:06:11Z","title_canon_sha256":"1d1d6b83a998682e9645806f9471121aba560590075301291000583d8365f313"},"schema_version":"1.0","source":{"id":"1901.03209","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.03209","created_at":"2026-07-05T00:39:09Z"},{"alias_kind":"arxiv_version","alias_value":"1901.03209v2","created_at":"2026-07-05T00:39:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.03209","created_at":"2026-07-05T00:39:09Z"},{"alias_kind":"pith_short_12","alias_value":"VG2C5DPGZK52","created_at":"2026-07-05T00:39:09Z"},{"alias_kind":"pith_short_16","alias_value":"VG2C5DPGZK52AYJO","created_at":"2026-07-05T00:39:09Z"},{"alias_kind":"pith_short_8","alias_value":"VG2C5DPG","created_at":"2026-07-05T00:39:09Z"}],"graph_snapshots":[{"event_id":"sha256:b754a2516bec82355c6a003a5ac370fcf3bdfebf0f61ae04667b3829ee1c2e13","target":"graph","created_at":"2026-07-05T00:39:09Z","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/1901.03209/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Variable importance is central to scientific studies, including the social sciences and causal inference, healthcare, and other domains. However, current notions of variable importance are often tied to a specific predictive model. This is problematic: what if there were multiple well-performing predictive models, and a specific variable is important to some of them and not to others? In that case, we may not be able to tell from a single well-performing model whether a variable is always important in predicting the outcome. Rather than depending on variable importance for a single predictive ","authors_text":"Cynthia Rudin, Jiayun Dong","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-01-10T15:06:11Z","title":"Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.03209","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:d00b82c54e4f56c6571b0a8c74d3af831d3ccee0bd67e1c00d66fabfb4cb4dec","target":"record","created_at":"2026-07-05T00:39:09Z","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":"4ef384669ed54cae3616a3e341fcd70c9418ae9aa55abc985ec6a3c637900bee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-01-10T15:06:11Z","title_canon_sha256":"1d1d6b83a998682e9645806f9471121aba560590075301291000583d8365f313"},"schema_version":"1.0","source":{"id":"1901.03209","kind":"arxiv","version":2}},"canonical_sha256":"a9b42e8de6cabba0612e1ce969472cc4b8a23509c9b77197aea6d8657180f33d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9b42e8de6cabba0612e1ce969472cc4b8a23509c9b77197aea6d8657180f33d","first_computed_at":"2026-07-05T00:39:09.907804Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:39:09.907804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y6biFyakH2z/e+cu+dHZeR31IWwgV7HQnqGCzcSafzly6h5mXv7BSPZOo9wWkP7RfYoPMbmEs5qX3jgyi8ikBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:39:09.908258Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.03209","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d00b82c54e4f56c6571b0a8c74d3af831d3ccee0bd67e1c00d66fabfb4cb4dec","sha256:b754a2516bec82355c6a003a5ac370fcf3bdfebf0f61ae04667b3829ee1c2e13"],"state_sha256":"fd1d3084d1d3084eb04db1e20b576d51a5d9e4a880c5689196db9eacdb14e3ef"}