{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q","short_pith_number":"pith:GYJ5Z3RO","canonical_record":{"source":{"id":"2507.16107","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-07-21T23:18:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a7437ac3326aa031cce56de84a84572cfa7f7fa46708a43c43b062b1b592a78c","abstract_canon_sha256":"5c8be995bd0d18fbdeaee10ba1ac46874c472adb7b91273a1e05fd5b8a95cae8"},"schema_version":"1.0"},"canonical_sha256":"3613dcee2ee8fb9e0ae98cecedef38e4200f98a269c9c6984ab13e65a336b8f2","source":{"kind":"arxiv","id":"2507.16107","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16107","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16107v1","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16107","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"GYJ5Z3RO5D5Z","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"pith_short_16","alias_value":"GYJ5Z3RO5D5Z4CXJ","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"pith_short_8","alias_value":"GYJ5Z3RO","created_at":"2026-07-05T11:41:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q","target":"record","payload":{"canonical_record":{"source":{"id":"2507.16107","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-07-21T23:18:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a7437ac3326aa031cce56de84a84572cfa7f7fa46708a43c43b062b1b592a78c","abstract_canon_sha256":"5c8be995bd0d18fbdeaee10ba1ac46874c472adb7b91273a1e05fd5b8a95cae8"},"schema_version":"1.0"},"canonical_sha256":"3613dcee2ee8fb9e0ae98cecedef38e4200f98a269c9c6984ab13e65a336b8f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:41:03.051469Z","signature_b64":"9mnPHUEgAPgZjDR0K+QFAmfN9WLiNMHt6BXL7yEn0ru9aAyjNjbbn0WVUe6v7MVhM+fBxXcTxsaiVecGPSVdAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3613dcee2ee8fb9e0ae98cecedef38e4200f98a269c9c6984ab13e65a336b8f2","last_reissued_at":"2026-07-05T11:41:03.051030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:41:03.051030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.16107","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":"2026-07-05T11:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vcwyJy8dIdCaim6Hm2386d66jULnma24FlGau90uqnXRI6PiIIcbJqY2ErZMccvPMlVffI37XHlLvqYwgaggCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:29:20.192278Z"},"content_sha256":"7b3231fd8654d5bef8c190df752be4b4bd2f7dbe6f20e9c577860b0c8ba4841f","schema_version":"1.0","event_id":"sha256:7b3231fd8654d5bef8c190df752be4b4bd2f7dbe6f20e9c577860b0c8ba4841f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ME","authors_text":"Ilya Shpitser, Kyle Reese, Rohit Bhattacharya, Trung Phung","submitted_at":"2025-07-21T23:18:36Z","abstract_excerpt":"A common approach for handling missing values in data analysis pipelines is multiple imputation via software packages such as MICE (Van Buuren and Groothuis-Oudshoorn, 2011) and Amelia (Honaker et al., 2011). These packages typically assume the data are missing at random (MAR), and impose parametric or smoothing assumptions upon the imputing distributions in a way that allows imputation to proceed even if not all missingness patterns have support in the data. Such assumptions are unrealistic in practice, and induce model misspecification bias on any analysis performed after such imputation.\n  "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16107","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/2507.16107/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":"2026-07-05T11:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gkldX+0XmyY41I0hglNRFCl2Ls/sj9nNaxHFBZ+tfNTjpE0S7SReJ8RlIoaXiLK4SZ0+Nh8Csjq/m8l/HI4qDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:29:20.192588Z"},"content_sha256":"f52eef7ebe4c8d3fde7a88b5848521452662428e537f21340f31a8bc9241f527","schema_version":"1.0","event_id":"sha256:f52eef7ebe4c8d3fde7a88b5848521452662428e537f21340f31a8bc9241f527"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q/bundle.json","state_url":"https://pith.science/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q/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":"2026-08-11T08:29:20Z","links":{"resolver":"https://pith.science/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q","bundle":"https://pith.science/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q/bundle.json","state":"https://pith.science/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GYJ5Z3RO5D5Z4CXJRTWO33ZY4Q","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":"5c8be995bd0d18fbdeaee10ba1ac46874c472adb7b91273a1e05fd5b8a95cae8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-07-21T23:18:36Z","title_canon_sha256":"a7437ac3326aa031cce56de84a84572cfa7f7fa46708a43c43b062b1b592a78c"},"schema_version":"1.0","source":{"id":"2507.16107","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16107","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16107v1","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16107","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"GYJ5Z3RO5D5Z","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"pith_short_16","alias_value":"GYJ5Z3RO5D5Z4CXJ","created_at":"2026-07-05T11:41:03Z"},{"alias_kind":"pith_short_8","alias_value":"GYJ5Z3RO","created_at":"2026-07-05T11:41:03Z"}],"graph_snapshots":[{"event_id":"sha256:f52eef7ebe4c8d3fde7a88b5848521452662428e537f21340f31a8bc9241f527","target":"graph","created_at":"2026-07-05T11:41:03Z","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/2507.16107/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A common approach for handling missing values in data analysis pipelines is multiple imputation via software packages such as MICE (Van Buuren and Groothuis-Oudshoorn, 2011) and Amelia (Honaker et al., 2011). These packages typically assume the data are missing at random (MAR), and impose parametric or smoothing assumptions upon the imputing distributions in a way that allows imputation to proceed even if not all missingness patterns have support in the data. Such assumptions are unrealistic in practice, and induce model misspecification bias on any analysis performed after such imputation.\n  ","authors_text":"Ilya Shpitser, Kyle Reese, Rohit Bhattacharya, Trung Phung","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-07-21T23:18:36Z","title":"Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16107","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":"sha256:7b3231fd8654d5bef8c190df752be4b4bd2f7dbe6f20e9c577860b0c8ba4841f","target":"record","created_at":"2026-07-05T11:41:03Z","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":"5c8be995bd0d18fbdeaee10ba1ac46874c472adb7b91273a1e05fd5b8a95cae8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-07-21T23:18:36Z","title_canon_sha256":"a7437ac3326aa031cce56de84a84572cfa7f7fa46708a43c43b062b1b592a78c"},"schema_version":"1.0","source":{"id":"2507.16107","kind":"arxiv","version":1}},"canonical_sha256":"3613dcee2ee8fb9e0ae98cecedef38e4200f98a269c9c6984ab13e65a336b8f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3613dcee2ee8fb9e0ae98cecedef38e4200f98a269c9c6984ab13e65a336b8f2","first_computed_at":"2026-07-05T11:41:03.051030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:41:03.051030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9mnPHUEgAPgZjDR0K+QFAmfN9WLiNMHt6BXL7yEn0ru9aAyjNjbbn0WVUe6v7MVhM+fBxXcTxsaiVecGPSVdAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:41:03.051469Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16107","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b3231fd8654d5bef8c190df752be4b4bd2f7dbe6f20e9c577860b0c8ba4841f","sha256:f52eef7ebe4c8d3fde7a88b5848521452662428e537f21340f31a8bc9241f527"],"state_sha256":"28456cc68b483760a3c465b97977f247ffe99c7a98b627ce7416ebcdbb3c0356"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ag7spCe4wuF8+vELj/H4VKP7Xpt5hqhrYLKvFjuFIkya6cyqk8R8KmF7udhKVAZ3psP8GPZce8m8KlX+pC4mBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:29:20.194810Z","bundle_sha256":"98575a4a4e3295c61da643c8ca555b1be772221c8ddd1ff11de4f1ce02f9c7ee"}}