{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XHP2OGSZMT6NX6UFMXTXOFOWNK","short_pith_number":"pith:XHP2OGSZ","schema_version":"1.0","canonical_sha256":"b9dfa71a5964fcdbfa8565e77715d66a96fc1a52d8e6c480d6c37440c7663be4","source":{"kind":"arxiv","id":"2606.08720","version":1},"attestation_state":"computed","paper":{"title":"This is how the Neocortex Learns","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Randall C. O'Reilly","submitted_at":"2026-06-07T16:31:28Z","abstract_excerpt":"A sufficient account of how the neocortex learns must meet three criteria: 1. Computationally, it must approximate a powerful, general-purpose learning algorithm known to scale to human-level intelligence; 2. Algorithmically, it must be implementable using known, well-established neural circuits within the neocortex and associated brain structures; 3. Implementationally, there must be a detailed account for how all of the algorithmic mechanisms actually function at a neurochemical level. At present, there is only one framework that meets all of these criteria: error-driven predictive learning "},"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":"2606.08720","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-06-07T16:31:28Z","cross_cats_sorted":[],"title_canon_sha256":"6ebbdb7b64b7fcdad0b14fefe43dfc9256ac5e1e10b1ae6d7748d3da7fb6a157","abstract_canon_sha256":"055f56250cea6918c6b8d55f5e7bb120cd4971d8a343c20278691a692cbd3515"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:35.248419Z","signature_b64":"CMB0IGx54ROL5y8rssgv/LLzgolHgz9jocZIlV7K0qYsI6jLZF8YbK+a7E8kCAfkJzMXekWJI0kXyOVFKdi/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9dfa71a5964fcdbfa8565e77715d66a96fc1a52d8e6c480d6c37440c7663be4","last_reissued_at":"2026-06-09T02:07:35.247248Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:35.247248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"This is how the Neocortex Learns","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Randall C. O'Reilly","submitted_at":"2026-06-07T16:31:28Z","abstract_excerpt":"A sufficient account of how the neocortex learns must meet three criteria: 1. Computationally, it must approximate a powerful, general-purpose learning algorithm known to scale to human-level intelligence; 2. Algorithmically, it must be implementable using known, well-established neural circuits within the neocortex and associated brain structures; 3. Implementationally, there must be a detailed account for how all of the algorithmic mechanisms actually function at a neurochemical level. At present, there is only one framework that meets all of these criteria: error-driven predictive learning "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08720","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/2606.08720/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":"2606.08720","created_at":"2026-06-09T02:07:35.247424+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08720v1","created_at":"2026-06-09T02:07:35.247424+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08720","created_at":"2026-06-09T02:07:35.247424+00:00"},{"alias_kind":"pith_short_12","alias_value":"XHP2OGSZMT6N","created_at":"2026-06-09T02:07:35.247424+00:00"},{"alias_kind":"pith_short_16","alias_value":"XHP2OGSZMT6NX6UF","created_at":"2026-06-09T02:07:35.247424+00:00"},{"alias_kind":"pith_short_8","alias_value":"XHP2OGSZ","created_at":"2026-06-09T02:07:35.247424+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/XHP2OGSZMT6NX6UFMXTXOFOWNK","json":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK.json","graph_json":"https://pith.science/api/pith-number/XHP2OGSZMT6NX6UFMXTXOFOWNK/graph.json","events_json":"https://pith.science/api/pith-number/XHP2OGSZMT6NX6UFMXTXOFOWNK/events.json","paper":"https://pith.science/paper/XHP2OGSZ"},"agent_actions":{"view_html":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK","download_json":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK.json","view_paper":"https://pith.science/paper/XHP2OGSZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08720&json=true","fetch_graph":"https://pith.science/api/pith-number/XHP2OGSZMT6NX6UFMXTXOFOWNK/graph.json","fetch_events":"https://pith.science/api/pith-number/XHP2OGSZMT6NX6UFMXTXOFOWNK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK/action/storage_attestation","attest_author":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK/action/author_attestation","sign_citation":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK/action/citation_signature","submit_replication":"https://pith.science/pith/XHP2OGSZMT6NX6UFMXTXOFOWNK/action/replication_record"}},"created_at":"2026-06-09T02:07:35.247424+00:00","updated_at":"2026-06-09T02:07:35.247424+00:00"}