{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DXWMR2H2C4VVFJ7H22FHMFZYSL","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":"6e0ef8186ff0e4d5f46c1a3dd108bb43dfb2fe288c3b269980b8c74efc71c018","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T21:40:36Z","title_canon_sha256":"abc9af68d1bf27a5c47062ad127b1e27bfb19ea15a4790fccab1f59ba6fd6d0b"},"schema_version":"1.0","source":{"id":"2506.09258","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09258","created_at":"2026-07-05T11:19:33Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09258v1","created_at":"2026-07-05T11:19:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09258","created_at":"2026-07-05T11:19:33Z"},{"alias_kind":"pith_short_12","alias_value":"DXWMR2H2C4VV","created_at":"2026-07-05T11:19:33Z"},{"alias_kind":"pith_short_16","alias_value":"DXWMR2H2C4VVFJ7H","created_at":"2026-07-05T11:19:33Z"},{"alias_kind":"pith_short_8","alias_value":"DXWMR2H2","created_at":"2026-07-05T11:19:33Z"}],"graph_snapshots":[{"event_id":"sha256:2740397ec48145831c09050bdb6dc42fbe487496f3459ac2cb8c6912c6aac3d2","target":"graph","created_at":"2026-07-05T11:19:33Z","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/2506.09258/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce conditional flow matching for imputation (CFMI), a new general-purpose method to impute missing data. The method combines continuous normalising flows, flow-matching, and shared conditional modelling to deal with intractabilities of traditional multiple imputation. Our comparison with nine classical and state-of-the-art imputation methods on 24 small to moderate-dimensional tabular data sets shows that CFMI matches or outperforms both traditional and modern techniques across a wide range of metrics. Applying the method to zero-shot imputation of time-series data, we find that it m","authors_text":"Michael U. Gutmann, Vaidotas Simkus","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T21:40:36Z","title":"CFMI: Flow Matching for Missing Data Imputation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09258","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":"sha256:4fa0371ab0ff1717353fc21b2b4ec7412a277532acd806bcb87ccd23107bb0ce","target":"record","created_at":"2026-07-05T11:19:33Z","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":"6e0ef8186ff0e4d5f46c1a3dd108bb43dfb2fe288c3b269980b8c74efc71c018","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T21:40:36Z","title_canon_sha256":"abc9af68d1bf27a5c47062ad127b1e27bfb19ea15a4790fccab1f59ba6fd6d0b"},"schema_version":"1.0","source":{"id":"2506.09258","kind":"arxiv","version":1}},"canonical_sha256":"1decc8e8fa172b52a7e7d68a76173892ea6a1cf5f4cda6ca291136c8c79333c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1decc8e8fa172b52a7e7d68a76173892ea6a1cf5f4cda6ca291136c8c79333c2","first_computed_at":"2026-07-05T11:19:33.813253Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:33.813253Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CV6VjhkwaITvTxNmdUmPCWsQMAIZ/zrPqkR2AQw5zQL4LfjIk3vLxWAErF6c+Yes7yO9z8Ta3vFE1N1O+HreAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:33.813715Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.09258","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4fa0371ab0ff1717353fc21b2b4ec7412a277532acd806bcb87ccd23107bb0ce","sha256:2740397ec48145831c09050bdb6dc42fbe487496f3459ac2cb8c6912c6aac3d2"],"state_sha256":"16dfdb00c1edbc7405cebfb2ecdb890f4aa211e9ff4632c8574f8aeb3feeca2b"}