{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NCXFRM2ZY3OZNN6ECWDAC7RM4N","short_pith_number":"pith:NCXFRM2Z","canonical_record":{"source":{"id":"1712.02605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-12-07T13:08:23Z","cross_cats_sorted":[],"title_canon_sha256":"a076b32c65ab9cd9449e5acdf1361d39e4af578ea5a71f2c3b7a8ef0668dcb1e","abstract_canon_sha256":"c6fcd907d66de9136039e3817fd02395f8c93cff654782ab93b04a30560f12d7"},"schema_version":"1.0"},"canonical_sha256":"68ae58b359c6dd96b7c41586017e2ce372c18f971106dead69b80033e2774d16","source":{"kind":"arxiv","id":"1712.02605","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.02605","created_at":"2026-05-18T00:28:33Z"},{"alias_kind":"arxiv_version","alias_value":"1712.02605v1","created_at":"2026-05-18T00:28:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.02605","created_at":"2026-05-18T00:28:33Z"},{"alias_kind":"pith_short_12","alias_value":"NCXFRM2ZY3OZ","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NCXFRM2ZY3OZNN6E","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NCXFRM2Z","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NCXFRM2ZY3OZNN6ECWDAC7RM4N","target":"record","payload":{"canonical_record":{"source":{"id":"1712.02605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-12-07T13:08:23Z","cross_cats_sorted":[],"title_canon_sha256":"a076b32c65ab9cd9449e5acdf1361d39e4af578ea5a71f2c3b7a8ef0668dcb1e","abstract_canon_sha256":"c6fcd907d66de9136039e3817fd02395f8c93cff654782ab93b04a30560f12d7"},"schema_version":"1.0"},"canonical_sha256":"68ae58b359c6dd96b7c41586017e2ce372c18f971106dead69b80033e2774d16","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:28:33.509454Z","signature_b64":"mLy43FmuMpe7uicybh0JvidrfhBn8+O+xiBuOn5zLeXttkUn+1FIt5L6tascR1nC2ixqH6azID1gMydzEtIDAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68ae58b359c6dd96b7c41586017e2ce372c18f971106dead69b80033e2774d16","last_reissued_at":"2026-05-18T00:28:33.508709Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:28:33.508709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.02605","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":"2026-05-18T00:28:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l9HdbnRMIFvkC1KnTGHfE+32wYAeSRWFAYG6RCub3HtWh9SyWDcGz8Su9YYmy2bL7J6g2bP2MzOJWs11TF1yBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T18:49:19.818668Z"},"content_sha256":"16961e9f3cc6264d32ac4f2018644d97ad581cdfdc43872ddddccb3b2e284849","schema_version":"1.0","event_id":"sha256:16961e9f3cc6264d32ac4f2018644d97ad581cdfdc43872ddddccb3b2e284849"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NCXFRM2ZY3OZNN6ECWDAC7RM4N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"New Methods for Small Area Estimation with Linkage Uncertainty","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Andrea Tancredi, Brunero Liseo, Dario Briscolini, Loredana Di Consiglio, Tiziana Tuoto","submitted_at":"2017-12-07T13:08:23Z","abstract_excerpt":"In Official Statistics, interest for data integration has been increasingly growing, due to the need of extracting information from different sources. However, the effects of these procedures on the validity of the resulting statistical analyses has been disregarded for a long time. In recent years, it has been largely recognized that linkage is not an error-free procedure and linkage errors, as false links and/or missed links, can invalidate the reliability of estimates in standard statistical models. In this paper we consider the general problem of making inference using data that have been "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.02605","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":""},"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":"2026-05-18T00:28:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FmbUJ+0I4XOZuJSV/G16VhoDkKNDq5b64KqGTQ3h/0IFnWVLF4qPqCca+fdOELmuHXo1e2FPkgnyuFjMvzqtCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T18:49:19.819156Z"},"content_sha256":"9e8010b20737881f2a94ea2357a5dac16d6f55c5b5cfdfbe4b195d6867e02aa4","schema_version":"1.0","event_id":"sha256:9e8010b20737881f2a94ea2357a5dac16d6f55c5b5cfdfbe4b195d6867e02aa4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N/bundle.json","state_url":"https://pith.science/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N/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":"2026-05-29T18:49:19Z","links":{"resolver":"https://pith.science/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N","bundle":"https://pith.science/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N/bundle.json","state":"https://pith.science/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NCXFRM2ZY3OZNN6ECWDAC7RM4N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NCXFRM2ZY3OZNN6ECWDAC7RM4N","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":"c6fcd907d66de9136039e3817fd02395f8c93cff654782ab93b04a30560f12d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-12-07T13:08:23Z","title_canon_sha256":"a076b32c65ab9cd9449e5acdf1361d39e4af578ea5a71f2c3b7a8ef0668dcb1e"},"schema_version":"1.0","source":{"id":"1712.02605","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.02605","created_at":"2026-05-18T00:28:33Z"},{"alias_kind":"arxiv_version","alias_value":"1712.02605v1","created_at":"2026-05-18T00:28:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.02605","created_at":"2026-05-18T00:28:33Z"},{"alias_kind":"pith_short_12","alias_value":"NCXFRM2ZY3OZ","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NCXFRM2ZY3OZNN6E","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NCXFRM2Z","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:9e8010b20737881f2a94ea2357a5dac16d6f55c5b5cfdfbe4b195d6867e02aa4","target":"graph","created_at":"2026-05-18T00:28:33Z","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"},"paper":{"abstract_excerpt":"In Official Statistics, interest for data integration has been increasingly growing, due to the need of extracting information from different sources. However, the effects of these procedures on the validity of the resulting statistical analyses has been disregarded for a long time. In recent years, it has been largely recognized that linkage is not an error-free procedure and linkage errors, as false links and/or missed links, can invalidate the reliability of estimates in standard statistical models. In this paper we consider the general problem of making inference using data that have been ","authors_text":"Andrea Tancredi, Brunero Liseo, Dario Briscolini, Loredana Di Consiglio, Tiziana Tuoto","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-12-07T13:08:23Z","title":"New Methods for Small Area Estimation with Linkage Uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.02605","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":"sha256:16961e9f3cc6264d32ac4f2018644d97ad581cdfdc43872ddddccb3b2e284849","target":"record","created_at":"2026-05-18T00:28:33Z","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":"c6fcd907d66de9136039e3817fd02395f8c93cff654782ab93b04a30560f12d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-12-07T13:08:23Z","title_canon_sha256":"a076b32c65ab9cd9449e5acdf1361d39e4af578ea5a71f2c3b7a8ef0668dcb1e"},"schema_version":"1.0","source":{"id":"1712.02605","kind":"arxiv","version":1}},"canonical_sha256":"68ae58b359c6dd96b7c41586017e2ce372c18f971106dead69b80033e2774d16","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68ae58b359c6dd96b7c41586017e2ce372c18f971106dead69b80033e2774d16","first_computed_at":"2026-05-18T00:28:33.508709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:33.508709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mLy43FmuMpe7uicybh0JvidrfhBn8+O+xiBuOn5zLeXttkUn+1FIt5L6tascR1nC2ixqH6azID1gMydzEtIDAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:33.509454Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.02605","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16961e9f3cc6264d32ac4f2018644d97ad581cdfdc43872ddddccb3b2e284849","sha256:9e8010b20737881f2a94ea2357a5dac16d6f55c5b5cfdfbe4b195d6867e02aa4"],"state_sha256":"db869e76f28fff12415a35591b1b3b5cc13edd0e6fb5699cc6f0f898192cacad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"517ik0+1Ck89fDC8MJjaW3g4bWiupWco5W4LPgye2GdEHEhCjSJ8kdVkeY9iSAlEVgth74oD7zpfiMueu9P7Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T18:49:19.822956Z","bundle_sha256":"8a93e529cc5ca5728b8491f8d1ad0f728844df160f8d086d30d955a1f1e06fa4"}}