{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:AGJTHW5SQVS7GTP4ZCVMYLW5QC","short_pith_number":"pith:AGJTHW5S","schema_version":"1.0","canonical_sha256":"019333dbb28565f34dfcc8aacc2edd809966d9bc0e78c05a713ebd29c5c10ec4","source":{"kind":"arxiv","id":"1802.05405","version":3},"attestation_state":"computed","paper":{"title":"Putting a bug in ML: The moth olfactory network learns to read MNIST","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","q-bio.NC"],"primary_cat":"cs.LG","authors_text":"Charles B. Delahunt, J. Nathan Kutz","submitted_at":"2018-02-15T04:58:45Z","abstract_excerpt":"We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The Moth Olfactory Network is among the simplest biological neural systems that can learn, and its architecture includes key structural elements and mechanisms widespread in biological neural nets, such as cascaded networks, competitive inhibition, high intrinsic noise, sparsity, reward mechanisms, and Hebbian plasticity. These structural biological elements, in combination, enable rapid learni"},"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":"1802.05405","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-15T04:58:45Z","cross_cats_sorted":["cs.NE","q-bio.NC"],"title_canon_sha256":"6745703192da75b55ba12b6816b71396db35dc787e4885763f70e088f2cb4445","abstract_canon_sha256":"ef03446e2a84517129f07b24fb0114d2a6a42b7fc4731b2d6c2f9c0da8d16fbf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:29.581821Z","signature_b64":"skBhxJb5G1ZeoP0wfoNqdDcMUWLFqAnV/PLrfYYrCKpk7Cd4rrrggpZlLT+Jjxlto182QgZyromC2oBNoIibAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"019333dbb28565f34dfcc8aacc2edd809966d9bc0e78c05a713ebd29c5c10ec4","last_reissued_at":"2026-05-17T23:55:29.581438Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:29.581438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Putting a bug in ML: The moth olfactory network learns to read MNIST","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","q-bio.NC"],"primary_cat":"cs.LG","authors_text":"Charles B. Delahunt, J. Nathan Kutz","submitted_at":"2018-02-15T04:58:45Z","abstract_excerpt":"We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The Moth Olfactory Network is among the simplest biological neural systems that can learn, and its architecture includes key structural elements and mechanisms widespread in biological neural nets, such as cascaded networks, competitive inhibition, high intrinsic noise, sparsity, reward mechanisms, and Hebbian plasticity. These structural biological elements, in combination, enable rapid learni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05405","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1802.05405","created_at":"2026-05-17T23:55:29.581503+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.05405v3","created_at":"2026-05-17T23:55:29.581503+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05405","created_at":"2026-05-17T23:55:29.581503+00:00"},{"alias_kind":"pith_short_12","alias_value":"AGJTHW5SQVS7","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"AGJTHW5SQVS7GTP4","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"AGJTHW5S","created_at":"2026-05-18T12:32:13.499390+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/AGJTHW5SQVS7GTP4ZCVMYLW5QC","json":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC.json","graph_json":"https://pith.science/api/pith-number/AGJTHW5SQVS7GTP4ZCVMYLW5QC/graph.json","events_json":"https://pith.science/api/pith-number/AGJTHW5SQVS7GTP4ZCVMYLW5QC/events.json","paper":"https://pith.science/paper/AGJTHW5S"},"agent_actions":{"view_html":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC","download_json":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC.json","view_paper":"https://pith.science/paper/AGJTHW5S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.05405&json=true","fetch_graph":"https://pith.science/api/pith-number/AGJTHW5SQVS7GTP4ZCVMYLW5QC/graph.json","fetch_events":"https://pith.science/api/pith-number/AGJTHW5SQVS7GTP4ZCVMYLW5QC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC/action/storage_attestation","attest_author":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC/action/author_attestation","sign_citation":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC/action/citation_signature","submit_replication":"https://pith.science/pith/AGJTHW5SQVS7GTP4ZCVMYLW5QC/action/replication_record"}},"created_at":"2026-05-17T23:55:29.581503+00:00","updated_at":"2026-05-17T23:55:29.581503+00:00"}