{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:5VQZ6IJZQB465AYDFUGUF5W3ZE","short_pith_number":"pith:5VQZ6IJZ","schema_version":"1.0","canonical_sha256":"ed619f21398079ee83032d0d42f6dbc91deeef878d6317c3a0b01e5db3339a54","source":{"kind":"arxiv","id":"2607.18459","version":1},"attestation_state":"computed","paper":{"title":"Intelligent Cause Prioritisation? An Analysis of AI Policy Priorities and Governance in Africa","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Kisso Selvan, Osaremen Iluobe","submitted_at":"2026-07-20T19:16:39Z","abstract_excerpt":"The rapid improvement of AI systems has intensified debate about humanity's economic, political, social, and existential future. As AI reshapes expectations about what lies ahead, policy choices and institutional responses will play a crucial role in determining who benefits, who bears the costs, and whether the most serious risks can be mitigated. Africa remains relatively overlooked in these discussions, partly because it is largely a consumer rather than a producer of frontier AI systems, and also because many countries on the continent continue to face pressing development challenges. Give"},"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":"2607.18459","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-07-20T19:16:39Z","cross_cats_sorted":[],"title_canon_sha256":"05f5c0464f1839d201289533d6a0feb27b3123d076d9abd81c262b77bffe784c","abstract_canon_sha256":"64c0cd32e9e2985d17703d18e97d57e1405b6921012ab2caf7f8838e35200295"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-22T00:22:49.566289Z","signature_b64":"Hix7hD/NZ3IKYHhJ2eKNj5LCWfZQSvKqESdrBuOU9epdy8yBv3SmKomWzCk2ElHPFoId+8XINyxNyWdCDgnDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed619f21398079ee83032d0d42f6dbc91deeef878d6317c3a0b01e5db3339a54","last_reissued_at":"2026-07-22T00:22:49.565293Z","signature_status":"signed_v1","first_computed_at":"2026-07-22T00:22:49.565293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Intelligent Cause Prioritisation? An Analysis of AI Policy Priorities and Governance in Africa","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Kisso Selvan, Osaremen Iluobe","submitted_at":"2026-07-20T19:16:39Z","abstract_excerpt":"The rapid improvement of AI systems has intensified debate about humanity's economic, political, social, and existential future. As AI reshapes expectations about what lies ahead, policy choices and institutional responses will play a crucial role in determining who benefits, who bears the costs, and whether the most serious risks can be mitigated. Africa remains relatively overlooked in these discussions, partly because it is largely a consumer rather than a producer of frontier AI systems, and also because many countries on the continent continue to face pressing development challenges. Give"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18459","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.18459/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2607.18459","created_at":"2026-07-22T00:22:49.565769+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.18459v1","created_at":"2026-07-22T00:22:49.565769+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18459","created_at":"2026-07-22T00:22:49.565769+00:00"},{"alias_kind":"pith_short_12","alias_value":"5VQZ6IJZQB46","created_at":"2026-07-22T00:22:49.565769+00:00"},{"alias_kind":"pith_short_16","alias_value":"5VQZ6IJZQB465AYD","created_at":"2026-07-22T00:22:49.565769+00:00"},{"alias_kind":"pith_short_8","alias_value":"5VQZ6IJZ","created_at":"2026-07-22T00:22:49.565769+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/5VQZ6IJZQB465AYDFUGUF5W3ZE","json":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE.json","graph_json":"https://pith.science/api/pith-number/5VQZ6IJZQB465AYDFUGUF5W3ZE/graph.json","events_json":"https://pith.science/api/pith-number/5VQZ6IJZQB465AYDFUGUF5W3ZE/events.json","paper":"https://pith.science/paper/5VQZ6IJZ"},"agent_actions":{"view_html":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE","download_json":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE.json","view_paper":"https://pith.science/paper/5VQZ6IJZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.18459&json=true","fetch_graph":"https://pith.science/api/pith-number/5VQZ6IJZQB465AYDFUGUF5W3ZE/graph.json","fetch_events":"https://pith.science/api/pith-number/5VQZ6IJZQB465AYDFUGUF5W3ZE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE/action/storage_attestation","attest_author":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE/action/author_attestation","sign_citation":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE/action/citation_signature","submit_replication":"https://pith.science/pith/5VQZ6IJZQB465AYDFUGUF5W3ZE/action/replication_record"}},"created_at":"2026-07-22T00:22:49.565769+00:00","updated_at":"2026-07-22T00:22:49.565769+00:00"}