{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:O77DULPOBRXNKFSIINIH4ULMIO","short_pith_number":"pith:O77DULPO","schema_version":"1.0","canonical_sha256":"77fe3a2dee0c6ed5164843507e516c4381ad1c549c20d168ca9bb50b03e50cab","source":{"kind":"arxiv","id":"2308.03598","version":4},"attestation_state":"computed","paper":{"title":"Why We Don't Have AGI Yet","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Mladjan Jovanovic, Peter Voss","submitted_at":"2023-08-07T13:59:31Z","abstract_excerpt":"The original vision of AI was re-articulated in 2002 via the term 'Artificial General Intelligence' or AGI. This vision is to build 'Thinking Machines' - computer systems that can learn, reason, and solve problems similar to the way humans do. This is in stark contrast to the 'Narrow AI' approach practiced by almost everyone in the field over the many decades. While several large-scale efforts have nominally been working on AGI (most notably DeepMind), the field of pure focused AGI development has not been well funded or promoted. This is surprising given the fantastic value that true AGI can "},"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":"2308.03598","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-07T13:59:31Z","cross_cats_sorted":[],"title_canon_sha256":"74b2bee39a43d00e4931cba119896fa3b235c4f559a246e8258aa8f356ea5128","abstract_canon_sha256":"9909645bc0fffb7427123d9aa54697c8c9ccee105d26b9594e3ceecdca8fca4a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:52:06.695379Z","signature_b64":"+Xxk8ker0LhJnenbVQ3MaOeAcG//+qyz3fqk+S8T1L+Hstz8dLKBgjI+hN4ESMltFtaOTdP/eGBX5C3z5DdxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77fe3a2dee0c6ed5164843507e516c4381ad1c549c20d168ca9bb50b03e50cab","last_reissued_at":"2026-07-05T06:52:06.694838Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:52:06.694838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Why We Don't Have AGI Yet","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Mladjan Jovanovic, Peter Voss","submitted_at":"2023-08-07T13:59:31Z","abstract_excerpt":"The original vision of AI was re-articulated in 2002 via the term 'Artificial General Intelligence' or AGI. This vision is to build 'Thinking Machines' - computer systems that can learn, reason, and solve problems similar to the way humans do. This is in stark contrast to the 'Narrow AI' approach practiced by almost everyone in the field over the many decades. While several large-scale efforts have nominally been working on AGI (most notably DeepMind), the field of pure focused AGI development has not been well funded or promoted. This is surprising given the fantastic value that true AGI can "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.03598","kind":"arxiv","version":4},"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/2308.03598/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":"2308.03598","created_at":"2026-07-05T06:52:06.694897+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.03598v4","created_at":"2026-07-05T06:52:06.694897+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.03598","created_at":"2026-07-05T06:52:06.694897+00:00"},{"alias_kind":"pith_short_12","alias_value":"O77DULPOBRXN","created_at":"2026-07-05T06:52:06.694897+00:00"},{"alias_kind":"pith_short_16","alias_value":"O77DULPOBRXNKFSI","created_at":"2026-07-05T06:52:06.694897+00:00"},{"alias_kind":"pith_short_8","alias_value":"O77DULPO","created_at":"2026-07-05T06:52:06.694897+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.00951","citing_title":"Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact","ref_index":274,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO","json":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO.json","graph_json":"https://pith.science/api/pith-number/O77DULPOBRXNKFSIINIH4ULMIO/graph.json","events_json":"https://pith.science/api/pith-number/O77DULPOBRXNKFSIINIH4ULMIO/events.json","paper":"https://pith.science/paper/O77DULPO"},"agent_actions":{"view_html":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO","download_json":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO.json","view_paper":"https://pith.science/paper/O77DULPO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.03598&json=true","fetch_graph":"https://pith.science/api/pith-number/O77DULPOBRXNKFSIINIH4ULMIO/graph.json","fetch_events":"https://pith.science/api/pith-number/O77DULPOBRXNKFSIINIH4ULMIO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO/action/storage_attestation","attest_author":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO/action/author_attestation","sign_citation":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO/action/citation_signature","submit_replication":"https://pith.science/pith/O77DULPOBRXNKFSIINIH4ULMIO/action/replication_record"}},"created_at":"2026-07-05T06:52:06.694897+00:00","updated_at":"2026-07-05T06:52:06.694897+00:00"}