{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:A3EUKDD2LWGHAMWLAEPRIS7ZYC","short_pith_number":"pith:A3EUKDD2","canonical_record":{"source":{"id":"1706.01099","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-06-04T16:22:33Z","cross_cats_sorted":[],"title_canon_sha256":"b019b5664fe498359b22cab6ef3c0eaf6893e1ab896c257c04707950643c6c04","abstract_canon_sha256":"10070a0339e406a26c60df8bd677b298a743afb96af1c517302f7519cd93f0ab"},"schema_version":"1.0"},"canonical_sha256":"06c9450c7a5d8c7032cb011f144bf9c0aadccc1b3b726e670c4eab38b2bc7b3b","source":{"kind":"arxiv","id":"1706.01099","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01099","created_at":"2026-05-18T00:43:04Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01099v1","created_at":"2026-05-18T00:43:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01099","created_at":"2026-05-18T00:43:04Z"},{"alias_kind":"pith_short_12","alias_value":"A3EUKDD2LWGH","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"A3EUKDD2LWGHAMWL","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"A3EUKDD2","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:A3EUKDD2LWGHAMWLAEPRIS7ZYC","target":"record","payload":{"canonical_record":{"source":{"id":"1706.01099","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-06-04T16:22:33Z","cross_cats_sorted":[],"title_canon_sha256":"b019b5664fe498359b22cab6ef3c0eaf6893e1ab896c257c04707950643c6c04","abstract_canon_sha256":"10070a0339e406a26c60df8bd677b298a743afb96af1c517302f7519cd93f0ab"},"schema_version":"1.0"},"canonical_sha256":"06c9450c7a5d8c7032cb011f144bf9c0aadccc1b3b726e670c4eab38b2bc7b3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:04.522623Z","signature_b64":"5o09LK9UDykiQ/oOHM9t4yfUM6AdhP7sNtUzc52LJ4okomejGSmcgMVdM2GKtL/3e2a1a7W07LvDJ30Om0xpBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06c9450c7a5d8c7032cb011f144bf9c0aadccc1b3b726e670c4eab38b2bc7b3b","last_reissued_at":"2026-05-18T00:43:04.521896Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:04.521896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.01099","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":"2026-05-18T00:43:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6cEGNllyP6zW5erCVmr5JTR7HKlAbFKGLpUtCoS/3a460tEwMqTHqRsaXPgDpIPQgV2FZDarlpxqJv4D1RG/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:52:09.790084Z"},"content_sha256":"1ee36c7a89c46262c686bc47bdcc184e12123b4c37e011e5f6ca09062d471ed8","schema_version":"1.0","event_id":"sha256:1ee36c7a89c46262c686bc47bdcc184e12123b4c37e011e5f6ca09062d471ed8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:A3EUKDD2LWGHAMWLAEPRIS7ZYC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latent Estimation of GDP, GDP per capita, and Population from Historic and Contemporary Sources","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Charles D. Crabtree, Christopher J. Fariss, Fridolin J. Linder, Jonathan N. Markowitz, Therese Anders, Zachary M. Jones","submitted_at":"2017-06-04T16:22:33Z","abstract_excerpt":"The concepts of Gross Domestic Product (GDP), GDP per capita, and population are central to the study of political science and economics. However, a growing literature suggests that existing measures of these concepts contain considerable error or are based on overly simplistic modeling choices. We address these problems by creating a dynamic, three-dimensional latent trait model, which uses observed information about GDP, GDP per capita, and population to estimate posterior prediction intervals for each of these important concepts. By combining historical and contemporary sources of informati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01099","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":"2026-05-18T00:43:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"axcEDghsWznuJOuWhyakeLi1/OYGua4uLb3q29pysnxaVObZ3RIZ5nTnpwcxvqnrvWuqSMk452HDX+Wviq1MDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:52:09.790734Z"},"content_sha256":"6de2f96c34a9f11fa3f60184fdb83d2ceea0cd349505aef589a3e7e312893298","schema_version":"1.0","event_id":"sha256:6de2f96c34a9f11fa3f60184fdb83d2ceea0cd349505aef589a3e7e312893298"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC/bundle.json","state_url":"https://pith.science/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC/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":"2026-05-26T16:52:09Z","links":{"resolver":"https://pith.science/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC","bundle":"https://pith.science/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC/bundle.json","state":"https://pith.science/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A3EUKDD2LWGHAMWLAEPRIS7ZYC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:A3EUKDD2LWGHAMWLAEPRIS7ZYC","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":"10070a0339e406a26c60df8bd677b298a743afb96af1c517302f7519cd93f0ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-06-04T16:22:33Z","title_canon_sha256":"b019b5664fe498359b22cab6ef3c0eaf6893e1ab896c257c04707950643c6c04"},"schema_version":"1.0","source":{"id":"1706.01099","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01099","created_at":"2026-05-18T00:43:04Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01099v1","created_at":"2026-05-18T00:43:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01099","created_at":"2026-05-18T00:43:04Z"},{"alias_kind":"pith_short_12","alias_value":"A3EUKDD2LWGH","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"A3EUKDD2LWGHAMWL","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"A3EUKDD2","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:6de2f96c34a9f11fa3f60184fdb83d2ceea0cd349505aef589a3e7e312893298","target":"graph","created_at":"2026-05-18T00:43:04Z","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":"The concepts of Gross Domestic Product (GDP), GDP per capita, and population are central to the study of political science and economics. However, a growing literature suggests that existing measures of these concepts contain considerable error or are based on overly simplistic modeling choices. We address these problems by creating a dynamic, three-dimensional latent trait model, which uses observed information about GDP, GDP per capita, and population to estimate posterior prediction intervals for each of these important concepts. By combining historical and contemporary sources of informati","authors_text":"Charles D. Crabtree, Christopher J. Fariss, Fridolin J. Linder, Jonathan N. Markowitz, Therese Anders, Zachary M. Jones","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-06-04T16:22:33Z","title":"Latent Estimation of GDP, GDP per capita, and Population from Historic and Contemporary Sources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01099","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":"sha256:1ee36c7a89c46262c686bc47bdcc184e12123b4c37e011e5f6ca09062d471ed8","target":"record","created_at":"2026-05-18T00:43:04Z","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":"10070a0339e406a26c60df8bd677b298a743afb96af1c517302f7519cd93f0ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-06-04T16:22:33Z","title_canon_sha256":"b019b5664fe498359b22cab6ef3c0eaf6893e1ab896c257c04707950643c6c04"},"schema_version":"1.0","source":{"id":"1706.01099","kind":"arxiv","version":1}},"canonical_sha256":"06c9450c7a5d8c7032cb011f144bf9c0aadccc1b3b726e670c4eab38b2bc7b3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06c9450c7a5d8c7032cb011f144bf9c0aadccc1b3b726e670c4eab38b2bc7b3b","first_computed_at":"2026-05-18T00:43:04.521896Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:04.521896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5o09LK9UDykiQ/oOHM9t4yfUM6AdhP7sNtUzc52LJ4okomejGSmcgMVdM2GKtL/3e2a1a7W07LvDJ30Om0xpBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:04.522623Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.01099","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ee36c7a89c46262c686bc47bdcc184e12123b4c37e011e5f6ca09062d471ed8","sha256:6de2f96c34a9f11fa3f60184fdb83d2ceea0cd349505aef589a3e7e312893298"],"state_sha256":"060fd5191c553cf0247349645788a48ac5b8aa720f3bcd947345281bd0982c1b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V8HJ0K+2dWOnfrLKRuIDs0hcjRBctAJFYrOBvNDeImfqLRb+UwYTQ4/fmx6c10bbrV4dcj0pDF7jMiLTM0scCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T16:52:09.793968Z","bundle_sha256":"9f618cdc70f6c9ef45ae90ed265931ec5e656582eed694d62fef5a1e6d12b8bc"}}