{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:B7CSXMLD2DYPA42VNKXRI4H46B","short_pith_number":"pith:B7CSXMLD","schema_version":"1.0","canonical_sha256":"0fc52bb163d0f0f073556aaf1470fcf055258c03766ca0c671aa9dbafc136d6b","source":{"kind":"arxiv","id":"1712.10009","version":1},"attestation_state":"computed","paper":{"title":"VB and R codes using Households databases available in the NSI's : A prelude to statistical applied studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Gane Samb Lo","submitted_at":"2017-12-25T19:29:07Z","abstract_excerpt":"We describe the main features of the households databases we can find in most of our National Statistics Institute. We provide algorithms aimed at extracting a diversity of variables on which different statistical procedures may be applied. Here, we particularly focus on the scaled income, as a beginning. Associated codes (MS Visual Basic and R codes) have been successfully tested and delivered in the text and in a separate file"},"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":"1712.10009","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-12-25T19:29:07Z","cross_cats_sorted":[],"title_canon_sha256":"f8f530ad09e85c429be35afdcc339f27919a0b51239c9febfc959e5e0c9fab54","abstract_canon_sha256":"05e4ac636f67fdf5a0c2ff5faed18a1a8207649d60e9da52ca26babbbcdaf8b7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:05.100717Z","signature_b64":"jhAO+9Jd7Dn+7qJzs3oaJnzeqyf8Kbfxhxx4rWXJPONDvJ8AdLuVGcu/DflfP45GNmoq2ang5q4cQxGbprwFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0fc52bb163d0f0f073556aaf1470fcf055258c03766ca0c671aa9dbafc136d6b","last_reissued_at":"2026-05-18T00:27:05.100259Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:05.100259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VB and R codes using Households databases available in the NSI's : A prelude to statistical applied studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Gane Samb Lo","submitted_at":"2017-12-25T19:29:07Z","abstract_excerpt":"We describe the main features of the households databases we can find in most of our National Statistics Institute. We provide algorithms aimed at extracting a diversity of variables on which different statistical procedures may be applied. Here, we particularly focus on the scaled income, as a beginning. Associated codes (MS Visual Basic and R codes) have been successfully tested and delivered in the text and in a separate file"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.10009","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":"1712.10009","created_at":"2026-05-18T00:27:05.100322+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.10009v1","created_at":"2026-05-18T00:27:05.100322+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.10009","created_at":"2026-05-18T00:27:05.100322+00:00"},{"alias_kind":"pith_short_12","alias_value":"B7CSXMLD2DYP","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"B7CSXMLD2DYPA42V","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"B7CSXMLD","created_at":"2026-05-18T12:31:08.081275+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/B7CSXMLD2DYPA42VNKXRI4H46B","json":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B.json","graph_json":"https://pith.science/api/pith-number/B7CSXMLD2DYPA42VNKXRI4H46B/graph.json","events_json":"https://pith.science/api/pith-number/B7CSXMLD2DYPA42VNKXRI4H46B/events.json","paper":"https://pith.science/paper/B7CSXMLD"},"agent_actions":{"view_html":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B","download_json":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B.json","view_paper":"https://pith.science/paper/B7CSXMLD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.10009&json=true","fetch_graph":"https://pith.science/api/pith-number/B7CSXMLD2DYPA42VNKXRI4H46B/graph.json","fetch_events":"https://pith.science/api/pith-number/B7CSXMLD2DYPA42VNKXRI4H46B/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B/action/storage_attestation","attest_author":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B/action/author_attestation","sign_citation":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B/action/citation_signature","submit_replication":"https://pith.science/pith/B7CSXMLD2DYPA42VNKXRI4H46B/action/replication_record"}},"created_at":"2026-05-18T00:27:05.100322+00:00","updated_at":"2026-05-18T00:27:05.100322+00:00"}