{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:GWJDDCPR5I7HTIPQBJZMPUUFZ2","short_pith_number":"pith:GWJDDCPR","canonical_record":{"source":{"id":"1509.03951","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-14T04:51:59Z","cross_cats_sorted":[],"title_canon_sha256":"57d7cca36a98df5a667d4347726af73b3b9489b61241623bd2155632db8c60ae","abstract_canon_sha256":"10850a4efa155b4a6ed328602d8445964b48e10d915f18bf0d8be352bf488489"},"schema_version":"1.0"},"canonical_sha256":"35923189f1ea3e79a1f00a72c7d285ceb1f523885d277a810d9ad6565c3bbbaf","source":{"kind":"arxiv","id":"1509.03951","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.03951","created_at":"2026-05-18T00:47:38Z"},{"alias_kind":"arxiv_version","alias_value":"1509.03951v5","created_at":"2026-05-18T00:47:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.03951","created_at":"2026-05-18T00:47:38Z"},{"alias_kind":"pith_short_12","alias_value":"GWJDDCPR5I7H","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"GWJDDCPR5I7HTIPQ","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"GWJDDCPR","created_at":"2026-05-18T12:29:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:GWJDDCPR5I7HTIPQBJZMPUUFZ2","target":"record","payload":{"canonical_record":{"source":{"id":"1509.03951","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-14T04:51:59Z","cross_cats_sorted":[],"title_canon_sha256":"57d7cca36a98df5a667d4347726af73b3b9489b61241623bd2155632db8c60ae","abstract_canon_sha256":"10850a4efa155b4a6ed328602d8445964b48e10d915f18bf0d8be352bf488489"},"schema_version":"1.0"},"canonical_sha256":"35923189f1ea3e79a1f00a72c7d285ceb1f523885d277a810d9ad6565c3bbbaf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:38.338794Z","signature_b64":"DHlF7SVENesjbVMApfaYeHnBhH+/bnC85X+9W75ly9dWiyIcoctwv0hgwSq5lG1nZWKRGZG2iKDcYlPg6WVUBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35923189f1ea3e79a1f00a72c7d285ceb1f523885d277a810d9ad6565c3bbbaf","last_reissued_at":"2026-05-18T00:47:38.338250Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:38.338250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1509.03951","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:47:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HZTvrIMBbYZ1CguY3odm8gHh/U6vQz31Sg7Bv+6sL4WCs3NjP7nCPMdi1or59IYDqMfFAPlcWm4AZXDQ830sBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T11:21:58.816142Z"},"content_sha256":"4cb34f777778299b9f8b8de4c2fdacacf277c0e5c1bdcd663ccfd951ab92f4df","schema_version":"1.0","event_id":"sha256:4cb34f777778299b9f8b8de4c2fdacacf277c0e5c1bdcd663ccfd951ab92f4df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:GWJDDCPR5I7HTIPQBJZMPUUFZ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transforming response values in small area prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Shonosuke Sugasawa, Tatsuya Kubokawa","submitted_at":"2015-09-14T04:51:59Z","abstract_excerpt":"In real applications of small area estimation, one often encounters data with positive response values. The use of a parametric transformation for positive response values in the Fay-Herriot model is proposed for such a case. An asymptotically unbiased small area predictor is derived and a second-order unbiased estimator of the mean squared error is established using the parametric bootstrap. Through simulation studies, a finite sample performance of the proposed predictor and the MSE estimator is investigated. The methodology is also successfully applied to Japanese survey data."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.03951","kind":"arxiv","version":5},"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":"2026-05-18T00:47:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RqP2gokqy3GUFpZ2P1DtmFgWmXp0HJz6li+YgRwlz930US3jERQkorbf13c6EkpswjureUB/j4VBju/TxqC/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T11:21:58.816867Z"},"content_sha256":"de23ef35bf0019b76db5607e8a0a7dab433fba17d73f3bf88f9759c904e70b8e","schema_version":"1.0","event_id":"sha256:de23ef35bf0019b76db5607e8a0a7dab433fba17d73f3bf88f9759c904e70b8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2/bundle.json","state_url":"https://pith.science/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2/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":"2026-05-31T11:21:58Z","links":{"resolver":"https://pith.science/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2","bundle":"https://pith.science/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2/bundle.json","state":"https://pith.science/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GWJDDCPR5I7HTIPQBJZMPUUFZ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:GWJDDCPR5I7HTIPQBJZMPUUFZ2","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":"10850a4efa155b4a6ed328602d8445964b48e10d915f18bf0d8be352bf488489","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-14T04:51:59Z","title_canon_sha256":"57d7cca36a98df5a667d4347726af73b3b9489b61241623bd2155632db8c60ae"},"schema_version":"1.0","source":{"id":"1509.03951","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.03951","created_at":"2026-05-18T00:47:38Z"},{"alias_kind":"arxiv_version","alias_value":"1509.03951v5","created_at":"2026-05-18T00:47:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.03951","created_at":"2026-05-18T00:47:38Z"},{"alias_kind":"pith_short_12","alias_value":"GWJDDCPR5I7H","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"GWJDDCPR5I7HTIPQ","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"GWJDDCPR","created_at":"2026-05-18T12:29:22Z"}],"graph_snapshots":[{"event_id":"sha256:de23ef35bf0019b76db5607e8a0a7dab433fba17d73f3bf88f9759c904e70b8e","target":"graph","created_at":"2026-05-18T00:47:38Z","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 real applications of small area estimation, one often encounters data with positive response values. The use of a parametric transformation for positive response values in the Fay-Herriot model is proposed for such a case. An asymptotically unbiased small area predictor is derived and a second-order unbiased estimator of the mean squared error is established using the parametric bootstrap. Through simulation studies, a finite sample performance of the proposed predictor and the MSE estimator is investigated. The methodology is also successfully applied to Japanese survey data.","authors_text":"Shonosuke Sugasawa, Tatsuya Kubokawa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-14T04:51:59Z","title":"Transforming response values in small area prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.03951","kind":"arxiv","version":5},"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":"sha256:4cb34f777778299b9f8b8de4c2fdacacf277c0e5c1bdcd663ccfd951ab92f4df","target":"record","created_at":"2026-05-18T00:47:38Z","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":"10850a4efa155b4a6ed328602d8445964b48e10d915f18bf0d8be352bf488489","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-14T04:51:59Z","title_canon_sha256":"57d7cca36a98df5a667d4347726af73b3b9489b61241623bd2155632db8c60ae"},"schema_version":"1.0","source":{"id":"1509.03951","kind":"arxiv","version":5}},"canonical_sha256":"35923189f1ea3e79a1f00a72c7d285ceb1f523885d277a810d9ad6565c3bbbaf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35923189f1ea3e79a1f00a72c7d285ceb1f523885d277a810d9ad6565c3bbbaf","first_computed_at":"2026-05-18T00:47:38.338250Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:38.338250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DHlF7SVENesjbVMApfaYeHnBhH+/bnC85X+9W75ly9dWiyIcoctwv0hgwSq5lG1nZWKRGZG2iKDcYlPg6WVUBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:38.338794Z","signed_message":"canonical_sha256_bytes"},"source_id":"1509.03951","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cb34f777778299b9f8b8de4c2fdacacf277c0e5c1bdcd663ccfd951ab92f4df","sha256:de23ef35bf0019b76db5607e8a0a7dab433fba17d73f3bf88f9759c904e70b8e"],"state_sha256":"981e12a35ab60663c2ad060b55b4c789c04250a7a2c2effcb111edd1432d94ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a6j1SPJbn7qCbGRxbbdzqhnQixwYPbFWpn6yg4He+P2YgZ2LUY9ecUw0JDSGL4YWmEHdhtQkd7SiXkyoJdkbCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T11:21:58.821573Z","bundle_sha256":"bc031a2f8f9f1d8514f1235e172f4c0e217a0f5bdf097dc0abce8d7549eb66f7"}}