{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:EA3PRG46OQQLOZBGOJR2F55LFR","short_pith_number":"pith:EA3PRG46","canonical_record":{"source":{"id":"1704.05767","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-19T15:13:05Z","cross_cats_sorted":[],"title_canon_sha256":"dee8881b8eca8cd83a7c00dd00088eab0b583dfce522bb3b676de9f4525839a4","abstract_canon_sha256":"97ab81fee13e065d31a7e2d0799f359a786daa321f4ef802f616cb0da04a0ac5"},"schema_version":"1.0"},"canonical_sha256":"2036f89b9e7420b764267263a2f7ab2c63b9aae7f3a48c99df3a47f45d15f951","source":{"kind":"arxiv","id":"1704.05767","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.05767","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"arxiv_version","alias_value":"1704.05767v1","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.05767","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"pith_short_12","alias_value":"EA3PRG46OQQL","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EA3PRG46OQQLOZBG","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EA3PRG46","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:EA3PRG46OQQLOZBGOJR2F55LFR","target":"record","payload":{"canonical_record":{"source":{"id":"1704.05767","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-19T15:13:05Z","cross_cats_sorted":[],"title_canon_sha256":"dee8881b8eca8cd83a7c00dd00088eab0b583dfce522bb3b676de9f4525839a4","abstract_canon_sha256":"97ab81fee13e065d31a7e2d0799f359a786daa321f4ef802f616cb0da04a0ac5"},"schema_version":"1.0"},"canonical_sha256":"2036f89b9e7420b764267263a2f7ab2c63b9aae7f3a48c99df3a47f45d15f951","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:06.603970Z","signature_b64":"HrN66D2vRqoJIo4jNnAwa5C4P5pbrJqIQX/PMPDRzt0UHo1w2We3wsN2i0FK0lNieE4aCbuAchUCfVlu2T3GBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2036f89b9e7420b764267263a2f7ab2c63b9aae7f3a48c99df3a47f45d15f951","last_reissued_at":"2026-05-18T00:46:06.603614Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:06.603614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.05767","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":"2026-05-18T00:46:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DxMJzzzeNcsQnEbKcD9XhBMRCSetNzei1WTkKufe8PiKPeP8qdxVlV10lZBoi+e/Hh37HVXHGXT35vORIWHsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T01:11:23.033415Z"},"content_sha256":"df4506324c8ade3f1233fc27a245988ea2de0d7f9e12be6a73c7a39b5e12fec1","schema_version":"1.0","event_id":"sha256:df4506324c8ade3f1233fc27a245988ea2de0d7f9e12be6a73c7a39b5e12fec1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:EA3PRG46OQQLOZBGOJR2F55LFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatio-temporal analysis of regional unemployment rates: A comparison of model based approaches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Feridun Turkman, Luis Correia, Soraia Pereira","submitted_at":"2017-04-19T15:13:05Z","abstract_excerpt":"This study aims to analyze the methodologies that can be used to estimate the total number of unemployed, as well as the unemployment rates for 28 regions of Portugal, designated as NUTS III regions, using model based approaches as compared to the direct estimation methods currently employed by INE (National Statistical Institute of Portugal). Model based methods, often known as small area estimation methods (Rao, 2003), \"borrow strength\" from neighbouring regions and in doing so, aim to compensate for the small sample sizes often observed in these areas. Consequently, it is generally accepted"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.05767","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":"2026-05-18T00:46:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UMI4qzNnehS2aTL56fyonJYAXNtfAImF5A+4Bm89Y/MGBKLKZwQag01AcbP7K8PwDr4rOJ81hpkYyYbNtmpOCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T01:11:23.033758Z"},"content_sha256":"1d807c56a59bf15b0315de2f657bf1b184f4761f1c3ce1725c3c392f54ad3469","schema_version":"1.0","event_id":"sha256:1d807c56a59bf15b0315de2f657bf1b184f4761f1c3ce1725c3c392f54ad3469"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EA3PRG46OQQLOZBGOJR2F55LFR/bundle.json","state_url":"https://pith.science/pith/EA3PRG46OQQLOZBGOJR2F55LFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EA3PRG46OQQLOZBGOJR2F55LFR/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":"2026-06-04T01:11:23Z","links":{"resolver":"https://pith.science/pith/EA3PRG46OQQLOZBGOJR2F55LFR","bundle":"https://pith.science/pith/EA3PRG46OQQLOZBGOJR2F55LFR/bundle.json","state":"https://pith.science/pith/EA3PRG46OQQLOZBGOJR2F55LFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EA3PRG46OQQLOZBGOJR2F55LFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:EA3PRG46OQQLOZBGOJR2F55LFR","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":"97ab81fee13e065d31a7e2d0799f359a786daa321f4ef802f616cb0da04a0ac5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-19T15:13:05Z","title_canon_sha256":"dee8881b8eca8cd83a7c00dd00088eab0b583dfce522bb3b676de9f4525839a4"},"schema_version":"1.0","source":{"id":"1704.05767","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.05767","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"arxiv_version","alias_value":"1704.05767v1","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.05767","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"pith_short_12","alias_value":"EA3PRG46OQQL","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EA3PRG46OQQLOZBG","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EA3PRG46","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:1d807c56a59bf15b0315de2f657bf1b184f4761f1c3ce1725c3c392f54ad3469","target":"graph","created_at":"2026-05-18T00:46:06Z","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":"This study aims to analyze the methodologies that can be used to estimate the total number of unemployed, as well as the unemployment rates for 28 regions of Portugal, designated as NUTS III regions, using model based approaches as compared to the direct estimation methods currently employed by INE (National Statistical Institute of Portugal). Model based methods, often known as small area estimation methods (Rao, 2003), \"borrow strength\" from neighbouring regions and in doing so, aim to compensate for the small sample sizes often observed in these areas. Consequently, it is generally accepted","authors_text":"Feridun Turkman, Luis Correia, Soraia Pereira","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-19T15:13:05Z","title":"Spatio-temporal analysis of regional unemployment rates: A comparison of model based approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.05767","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:df4506324c8ade3f1233fc27a245988ea2de0d7f9e12be6a73c7a39b5e12fec1","target":"record","created_at":"2026-05-18T00:46:06Z","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":"97ab81fee13e065d31a7e2d0799f359a786daa321f4ef802f616cb0da04a0ac5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-19T15:13:05Z","title_canon_sha256":"dee8881b8eca8cd83a7c00dd00088eab0b583dfce522bb3b676de9f4525839a4"},"schema_version":"1.0","source":{"id":"1704.05767","kind":"arxiv","version":1}},"canonical_sha256":"2036f89b9e7420b764267263a2f7ab2c63b9aae7f3a48c99df3a47f45d15f951","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2036f89b9e7420b764267263a2f7ab2c63b9aae7f3a48c99df3a47f45d15f951","first_computed_at":"2026-05-18T00:46:06.603614Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:06.603614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HrN66D2vRqoJIo4jNnAwa5C4P5pbrJqIQX/PMPDRzt0UHo1w2We3wsN2i0FK0lNieE4aCbuAchUCfVlu2T3GBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:06.603970Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.05767","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df4506324c8ade3f1233fc27a245988ea2de0d7f9e12be6a73c7a39b5e12fec1","sha256:1d807c56a59bf15b0315de2f657bf1b184f4761f1c3ce1725c3c392f54ad3469"],"state_sha256":"789ea73e5ad013f53c0d21b45d3f07b474fa55cfbcb55e0ae3c58c8d0b476aa2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sVUSHZD7oAW14D2NJee2UNGIWgvMflXBw1Jx5LhmbvEI6qMcHgvrcoFTUHfzVvcC8QDU3I/0lK7RYImTlvk7BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T01:11:23.035666Z","bundle_sha256":"b13f181c7721de45647d8d4a94e663bed7b507094955fbfc66d4515d8264c5a2"}}