{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:XAPTQCMPC4OLVIRSOMRLBGJGY6","short_pith_number":"pith:XAPTQCMP","schema_version":"1.0","canonical_sha256":"b81f38098f171cbaa2327322b09926c788325a186ba3494a5c6d1b1a1f6749ef","source":{"kind":"arxiv","id":"2003.11642","version":1},"attestation_state":"computed","paper":{"title":"Giving Up Control: Neurons as Reinforcement Learning Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Jordan Ott","submitted_at":"2020-03-17T04:47:40Z","abstract_excerpt":"Artificial Intelligence has historically relied on planning, heuristics, and handcrafted approaches designed by experts. All the while claiming to pursue the creation of Intelligence. This approach fails to acknowledge that intelligence emerges from the dynamics within a complex system. Neurons in the brain are governed by local rules, where no single neuron, or group of neurons, coordinates or controls the others. This local structure gives rise to the appropriate dynamics in which intelligence can emerge. Populations of neurons must compete with their neighbors for resources, inhibition, and"},"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":"2003.11642","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-03-17T04:47:40Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bc0e4fdc37c39d30fff2b08887595e37e8f773369ae6727fffaaf9292a164e16","abstract_canon_sha256":"4da6e76b6db07035d260b13eaf35b4c45d7889424c3e8110fadab420098d280a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:50:46.170425Z","signature_b64":"ShFFW07UgQjEKScnT3zGNG4ynrFYvAg/bbJx8m8B2I2w6VNuHqe8sKQst+Uc0O3kMy57ls8u6s6B+gSTAylzCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b81f38098f171cbaa2327322b09926c788325a186ba3494a5c6d1b1a1f6749ef","last_reissued_at":"2026-07-05T00:50:46.170009Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:50:46.170009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Giving Up Control: Neurons as Reinforcement Learning Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Jordan Ott","submitted_at":"2020-03-17T04:47:40Z","abstract_excerpt":"Artificial Intelligence has historically relied on planning, heuristics, and handcrafted approaches designed by experts. All the while claiming to pursue the creation of Intelligence. This approach fails to acknowledge that intelligence emerges from the dynamics within a complex system. Neurons in the brain are governed by local rules, where no single neuron, or group of neurons, coordinates or controls the others. This local structure gives rise to the appropriate dynamics in which intelligence can emerge. Populations of neurons must compete with their neighbors for resources, inhibition, and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.11642","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/2003.11642/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":"2003.11642","created_at":"2026-07-05T00:50:46.170061+00:00"},{"alias_kind":"arxiv_version","alias_value":"2003.11642v1","created_at":"2026-07-05T00:50:46.170061+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.11642","created_at":"2026-07-05T00:50:46.170061+00:00"},{"alias_kind":"pith_short_12","alias_value":"XAPTQCMPC4OL","created_at":"2026-07-05T00:50:46.170061+00:00"},{"alias_kind":"pith_short_16","alias_value":"XAPTQCMPC4OLVIRS","created_at":"2026-07-05T00:50:46.170061+00:00"},{"alias_kind":"pith_short_8","alias_value":"XAPTQCMP","created_at":"2026-07-05T00:50:46.170061+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/XAPTQCMPC4OLVIRSOMRLBGJGY6","json":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6.json","graph_json":"https://pith.science/api/pith-number/XAPTQCMPC4OLVIRSOMRLBGJGY6/graph.json","events_json":"https://pith.science/api/pith-number/XAPTQCMPC4OLVIRSOMRLBGJGY6/events.json","paper":"https://pith.science/paper/XAPTQCMP"},"agent_actions":{"view_html":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6","download_json":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6.json","view_paper":"https://pith.science/paper/XAPTQCMP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2003.11642&json=true","fetch_graph":"https://pith.science/api/pith-number/XAPTQCMPC4OLVIRSOMRLBGJGY6/graph.json","fetch_events":"https://pith.science/api/pith-number/XAPTQCMPC4OLVIRSOMRLBGJGY6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6/action/storage_attestation","attest_author":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6/action/author_attestation","sign_citation":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6/action/citation_signature","submit_replication":"https://pith.science/pith/XAPTQCMPC4OLVIRSOMRLBGJGY6/action/replication_record"}},"created_at":"2026-07-05T00:50:46.170061+00:00","updated_at":"2026-07-05T00:50:46.170061+00:00"}