{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WPSGUSQF3T27W4CTZ4YR6RI4RK","short_pith_number":"pith:WPSGUSQF","schema_version":"1.0","canonical_sha256":"b3e46a4a05dcf5fb7053cf311f451c8aaa73df218018f7174447a09ae679b1f5","source":{"kind":"arxiv","id":"2602.08079","version":2},"attestation_state":"computed","paper":{"title":"Bootstrapping Life-Inspired Machine Intelligence: The Biological Route from Chemistry to Cognition and Creativity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Giovanni Pezzulo, Michael Levin","submitted_at":"2026-02-08T18:48:55Z","abstract_excerpt":"Achieving advanced machine intelligence remains a central challenge in AI research, often approached through scaling neural architectures and generative models. However, biological systems offer a broader repertoire of strategies for adaptive, goal-directed behavior - strategies that emerged long before nervous systems evolved. This paper advocates a genuinely life-inspired approach to machine intelligence, drawing on principles from biology that enable robustness, autonomy, and open-ended problem-solving across scales. We frame intelligence as flexible problem-solving, following William James"},"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":"2602.08079","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-02-08T18:48:55Z","cross_cats_sorted":[],"title_canon_sha256":"7bb0da5d38accc94e269abd41d327d0b8328fd23cbfc28d322d2c2f0c9e82241","abstract_canon_sha256":"eab620f939d79dc8f84a2e262e0638aa242652efccc3a9df6258f258fa4f2b24"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:05.546378Z","signature_b64":"58PTZeErCSYPT7l14S10U1By8YWf2lRkFjlIn7+J5BlwxCktRe3SZ9SU+xsL432btmxR++zelYRuCZxGmdH8Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3e46a4a05dcf5fb7053cf311f451c8aaa73df218018f7174447a09ae679b1f5","last_reissued_at":"2026-05-26T02:04:05.545470Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:05.545470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bootstrapping Life-Inspired Machine Intelligence: The Biological Route from Chemistry to Cognition and Creativity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Giovanni Pezzulo, Michael Levin","submitted_at":"2026-02-08T18:48:55Z","abstract_excerpt":"Achieving advanced machine intelligence remains a central challenge in AI research, often approached through scaling neural architectures and generative models. However, biological systems offer a broader repertoire of strategies for adaptive, goal-directed behavior - strategies that emerged long before nervous systems evolved. This paper advocates a genuinely life-inspired approach to machine intelligence, drawing on principles from biology that enable robustness, autonomy, and open-ended problem-solving across scales. We frame intelligence as flexible problem-solving, following William James"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.08079","kind":"arxiv","version":2},"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/2602.08079/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":"2602.08079","created_at":"2026-05-26T02:04:05.545578+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.08079v2","created_at":"2026-05-26T02:04:05.545578+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.08079","created_at":"2026-05-26T02:04:05.545578+00:00"},{"alias_kind":"pith_short_12","alias_value":"WPSGUSQF3T27","created_at":"2026-05-26T02:04:05.545578+00:00"},{"alias_kind":"pith_short_16","alias_value":"WPSGUSQF3T27W4CT","created_at":"2026-05-26T02:04:05.545578+00:00"},{"alias_kind":"pith_short_8","alias_value":"WPSGUSQF","created_at":"2026-05-26T02:04:05.545578+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/WPSGUSQF3T27W4CTZ4YR6RI4RK","json":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK.json","graph_json":"https://pith.science/api/pith-number/WPSGUSQF3T27W4CTZ4YR6RI4RK/graph.json","events_json":"https://pith.science/api/pith-number/WPSGUSQF3T27W4CTZ4YR6RI4RK/events.json","paper":"https://pith.science/paper/WPSGUSQF"},"agent_actions":{"view_html":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK","download_json":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK.json","view_paper":"https://pith.science/paper/WPSGUSQF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.08079&json=true","fetch_graph":"https://pith.science/api/pith-number/WPSGUSQF3T27W4CTZ4YR6RI4RK/graph.json","fetch_events":"https://pith.science/api/pith-number/WPSGUSQF3T27W4CTZ4YR6RI4RK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK/action/storage_attestation","attest_author":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK/action/author_attestation","sign_citation":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK/action/citation_signature","submit_replication":"https://pith.science/pith/WPSGUSQF3T27W4CTZ4YR6RI4RK/action/replication_record"}},"created_at":"2026-05-26T02:04:05.545578+00:00","updated_at":"2026-05-26T02:04:05.545578+00:00"}