{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:Z5O4CXWXM3YMKV3V5Y3VM4M2R6","short_pith_number":"pith:Z5O4CXWX","schema_version":"1.0","canonical_sha256":"cf5dc15ed766f0c55775ee3756719a8fac0ef3557d4240c3a8528c5470cce312","source":{"kind":"arxiv","id":"1405.6416","version":1},"attestation_state":"computed","paper":{"title":"Discussion of \"Single and Two-Stage Cross-Sectional and Time Series Benchmarking Procedures for SAE\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"stat.OT","authors_text":"M. Delores Ugarte, Rebecca C. Steorts","submitted_at":"2014-05-25T18:36:29Z","abstract_excerpt":"We congratulate the authors for a stimulating and valuable manuscript, providing a careful review of the state-of the-art in cross-sectional and time-series benchmarking procedures for small area estimation. They develop a novel two-stage benchmarking method for hierarchical time series models, where they evaluate their procedure by estimating monthly total unemployment using data from the U.S. Census Bureau. We discuss three topics: linearity and model misspecification, computational complexity and model comparisons, and, some aspects on small area estimation in practice. More specifically, w"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1405.6416","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2014-05-25T18:36:29Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"257414c530b46d5f3650ec4858d37e1f38de92588aad616add634418cfa4dd6e","abstract_canon_sha256":"981bab50a2b9f5cea95dd968922386e36a14da064dde1af80071c13778213725"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:51:07.346572Z","signature_b64":"wb1BSNFBKXWtZb4KbvNa2x9WXvIdw4eepI1Oa96Te4EAZtDVhCpahILxxGhc9s+JvBojfvPQkpzd8u6+Sq6aAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf5dc15ed766f0c55775ee3756719a8fac0ef3557d4240c3a8528c5470cce312","last_reissued_at":"2026-05-18T02:51:07.346161Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:51:07.346161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Discussion of \"Single and Two-Stage Cross-Sectional and Time Series Benchmarking Procedures for SAE\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"stat.OT","authors_text":"M. Delores Ugarte, Rebecca C. Steorts","submitted_at":"2014-05-25T18:36:29Z","abstract_excerpt":"We congratulate the authors for a stimulating and valuable manuscript, providing a careful review of the state-of the-art in cross-sectional and time-series benchmarking procedures for small area estimation. They develop a novel two-stage benchmarking method for hierarchical time series models, where they evaluate their procedure by estimating monthly total unemployment using data from the U.S. Census Bureau. We discuss three topics: linearity and model misspecification, computational complexity and model comparisons, and, some aspects on small area estimation in practice. More specifically, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.6416","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1405.6416","created_at":"2026-05-18T02:51:07.346225+00:00"},{"alias_kind":"arxiv_version","alias_value":"1405.6416v1","created_at":"2026-05-18T02:51:07.346225+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.6416","created_at":"2026-05-18T02:51:07.346225+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z5O4CXWXM3YM","created_at":"2026-05-18T12:28:59.999130+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z5O4CXWXM3YMKV3V","created_at":"2026-05-18T12:28:59.999130+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z5O4CXWX","created_at":"2026-05-18T12:28:59.999130+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6","json":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6.json","graph_json":"https://pith.science/api/pith-number/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/graph.json","events_json":"https://pith.science/api/pith-number/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/events.json","paper":"https://pith.science/paper/Z5O4CXWX"},"agent_actions":{"view_html":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6","download_json":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6.json","view_paper":"https://pith.science/paper/Z5O4CXWX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1405.6416&json=true","fetch_graph":"https://pith.science/api/pith-number/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/graph.json","fetch_events":"https://pith.science/api/pith-number/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/action/storage_attestation","attest_author":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/action/author_attestation","sign_citation":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/action/citation_signature","submit_replication":"https://pith.science/pith/Z5O4CXWXM3YMKV3V5Y3VM4M2R6/action/replication_record"}},"created_at":"2026-05-18T02:51:07.346225+00:00","updated_at":"2026-05-18T02:51:07.346225+00:00"}