{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CHPDOTC3T2BMIGDLHDCETP4X3W","short_pith_number":"pith:CHPDOTC3","schema_version":"1.0","canonical_sha256":"11de374c5b9e82c4186b38c449bf97dd94ddb325ce3a141898fb5213ab7f6bd5","source":{"kind":"arxiv","id":"2508.12168","version":1},"attestation_state":"computed","paper":{"title":"Several Issues Regarding Data Governance in AGI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Masayuki Hatta","submitted_at":"2025-08-16T21:52:22Z","abstract_excerpt":"The rapid advancement of artificial intelligence has positioned data governance as a critical concern for responsible AI development. While frameworks exist for conventional AI systems, the potential emergence of Artificial General Intelligence (AGI) presents unprecedented governance challenges. This paper examines data governance challenges specific to AGI, defined as systems capable of recursive self-improvement or self-replication. We identify seven key issues that differentiate AGI governance from current approaches. First, AGI may autonomously determine what data to collect and how to use"},"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":"2508.12168","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-08-16T21:52:22Z","cross_cats_sorted":[],"title_canon_sha256":"3eedcacc2acede32a795c685990a359a028645f5613a4dea471d8a92473b8e4f","abstract_canon_sha256":"c2b19fa47b3ae4cad51e550575f82de45d435d847e079008d45b6a48db876f88"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:55:01.143832Z","signature_b64":"IfdgIJqtqgqdpUT8t63m5FgHitLK6L6A3XvRSZLiLDVRCTu0uwEKWu5QLVrwU/fFuAtzd6eXts219chtRn6tBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11de374c5b9e82c4186b38c449bf97dd94ddb325ce3a141898fb5213ab7f6bd5","last_reissued_at":"2026-07-05T11:55:01.143424Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:55:01.143424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Several Issues Regarding Data Governance in AGI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Masayuki Hatta","submitted_at":"2025-08-16T21:52:22Z","abstract_excerpt":"The rapid advancement of artificial intelligence has positioned data governance as a critical concern for responsible AI development. While frameworks exist for conventional AI systems, the potential emergence of Artificial General Intelligence (AGI) presents unprecedented governance challenges. This paper examines data governance challenges specific to AGI, defined as systems capable of recursive self-improvement or self-replication. We identify seven key issues that differentiate AGI governance from current approaches. First, AGI may autonomously determine what data to collect and how to use"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.12168","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/2508.12168/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":"2508.12168","created_at":"2026-07-05T11:55:01.143480+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.12168v1","created_at":"2026-07-05T11:55:01.143480+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.12168","created_at":"2026-07-05T11:55:01.143480+00:00"},{"alias_kind":"pith_short_12","alias_value":"CHPDOTC3T2BM","created_at":"2026-07-05T11:55:01.143480+00:00"},{"alias_kind":"pith_short_16","alias_value":"CHPDOTC3T2BMIGDL","created_at":"2026-07-05T11:55:01.143480+00:00"},{"alias_kind":"pith_short_8","alias_value":"CHPDOTC3","created_at":"2026-07-05T11:55:01.143480+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/CHPDOTC3T2BMIGDLHDCETP4X3W","json":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W.json","graph_json":"https://pith.science/api/pith-number/CHPDOTC3T2BMIGDLHDCETP4X3W/graph.json","events_json":"https://pith.science/api/pith-number/CHPDOTC3T2BMIGDLHDCETP4X3W/events.json","paper":"https://pith.science/paper/CHPDOTC3"},"agent_actions":{"view_html":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W","download_json":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W.json","view_paper":"https://pith.science/paper/CHPDOTC3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.12168&json=true","fetch_graph":"https://pith.science/api/pith-number/CHPDOTC3T2BMIGDLHDCETP4X3W/graph.json","fetch_events":"https://pith.science/api/pith-number/CHPDOTC3T2BMIGDLHDCETP4X3W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W/action/storage_attestation","attest_author":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W/action/author_attestation","sign_citation":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W/action/citation_signature","submit_replication":"https://pith.science/pith/CHPDOTC3T2BMIGDLHDCETP4X3W/action/replication_record"}},"created_at":"2026-07-05T11:55:01.143480+00:00","updated_at":"2026-07-05T11:55:01.143480+00:00"}