{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:SGTFHQXDTD4R3KZUBU5NGI6ZRV","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":"a4bc45359bbcdf82de7037836b14fda713763fdf1cc7adbab2968bdb6b792c2e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-05-04T13:53:59Z","title_canon_sha256":"2e5f0d3447a2295e7e3d6743b2d776cb4b0b4149a0be73a5d6973e261392b88e"},"schema_version":"1.0","source":{"id":"1105.0828","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1105.0828","created_at":"2026-05-18T02:50:43Z"},{"alias_kind":"arxiv_version","alias_value":"1105.0828v2","created_at":"2026-05-18T02:50:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1105.0828","created_at":"2026-05-18T02:50:43Z"},{"alias_kind":"pith_short_12","alias_value":"SGTFHQXDTD4R","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"SGTFHQXDTD4R3KZU","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"SGTFHQXD","created_at":"2026-05-18T12:26:41Z"}],"graph_snapshots":[{"event_id":"sha256:113434d43ef9fb2480e94d924c137d631396bd81d0c2c339f92e1ce881e507d4","target":"graph","created_at":"2026-05-18T02:50:43Z","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"},"paper":{"abstract_excerpt":"Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set. Missing value imputation offers a solution to this problem. However, the majority of available imputation methods are restricted to one type of variable only: continuous or categorical. For mixed-type data the different types are usually handled separately. Therefore, these methods ignore possible relations between variable types. We propose a nonparametric method which can cope with different ","authors_text":"Daniel J. Stekhoven, Peter B\\\"uhlmann","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-05-04T13:53:59Z","title":"MissForest - nonparametric missing value imputation for mixed-type data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1105.0828","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":"sha256:56f74e659438decffbb9119b2c605962d8fd7e1931489b780c737dfb368b969f","target":"record","created_at":"2026-05-18T02:50:43Z","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":"a4bc45359bbcdf82de7037836b14fda713763fdf1cc7adbab2968bdb6b792c2e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-05-04T13:53:59Z","title_canon_sha256":"2e5f0d3447a2295e7e3d6743b2d776cb4b0b4149a0be73a5d6973e261392b88e"},"schema_version":"1.0","source":{"id":"1105.0828","kind":"arxiv","version":2}},"canonical_sha256":"91a653c2e398f91dab340d3ad323d98d689be6d7e5927a55d3d19ac0fd20a04a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91a653c2e398f91dab340d3ad323d98d689be6d7e5927a55d3d19ac0fd20a04a","first_computed_at":"2026-05-18T02:50:43.480197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:50:43.480197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KjOqQa8yl5lD99FK4fUAkf+kwc74gfY63EC0NAa05C5Nh8Y471AtbmRgBK1scXBxSLli9m98G2odfl+8fpBMDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:50:43.480710Z","signed_message":"canonical_sha256_bytes"},"source_id":"1105.0828","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56f74e659438decffbb9119b2c605962d8fd7e1931489b780c737dfb368b969f","sha256:113434d43ef9fb2480e94d924c137d631396bd81d0c2c339f92e1ce881e507d4"],"state_sha256":"2483c5caecb47bc2380c929cd3df5c19e4fec5d708c90c6ca7bf01e8149b6ad2"}