{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:NV363J4QGYDIWLRNEWRK7GWAMS","short_pith_number":"pith:NV363J4Q","schema_version":"1.0","canonical_sha256":"6d77eda79036068b2e2d25a2af9ac064872d7df78baa1e9d245a735a852eb0f8","source":{"kind":"arxiv","id":"1811.01375","version":2},"attestation_state":"computed","paper":{"title":"Supervised learning of an opto-magnetic neural network with ultrashort laser pulses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"cs.ET","authors_text":"A. Chakravarty, A.V. Kimel, C.S. Davies, J.H. Mentink, K.T. Yamada, Th. Rasing","submitted_at":"2018-11-04T14:15:08Z","abstract_excerpt":"The explosive growth of data and its related energy consumption is pushing the need to develop energy-efficient brain-inspired schemes and materials for data processing and storage. Here, we demonstrate experimentally that Co/Pt films can be used as artificial synapses by manipulating their magnetization state using circularly-polarized ultrashort optical pulses at room temperature. We also show an efficient implementation of supervised perceptron learning on an opto-magnetic neural network, built from such magnetic synapses. Importantly, we demonstrate that the optimization of synaptic weight"},"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":"1811.01375","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2018-11-04T14:15:08Z","cross_cats_sorted":["physics.app-ph"],"title_canon_sha256":"046d9a84b4a57259db95d345b6130bfe5284b9a74eecd6ef188df84725920875","abstract_canon_sha256":"4b26a1e8578e013b7f5098c2ade0e443f6ba7accd7ee2c051f535f70b7a5d347"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:58.689230Z","signature_b64":"3QuU4x96SiVwisGvs9In+J6ayXp3C37Zfn6QBCRR4g31OI8crvVXVdxPu5HIIOWEPHqJVG7SczBE6/xDLwBxDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d77eda79036068b2e2d25a2af9ac064872d7df78baa1e9d245a735a852eb0f8","last_reissued_at":"2026-05-17T23:44:58.688538Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:58.688538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Supervised learning of an opto-magnetic neural network with ultrashort laser pulses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"cs.ET","authors_text":"A. Chakravarty, A.V. Kimel, C.S. Davies, J.H. Mentink, K.T. Yamada, Th. Rasing","submitted_at":"2018-11-04T14:15:08Z","abstract_excerpt":"The explosive growth of data and its related energy consumption is pushing the need to develop energy-efficient brain-inspired schemes and materials for data processing and storage. Here, we demonstrate experimentally that Co/Pt films can be used as artificial synapses by manipulating their magnetization state using circularly-polarized ultrashort optical pulses at room temperature. We also show an efficient implementation of supervised perceptron learning on an opto-magnetic neural network, built from such magnetic synapses. Importantly, we demonstrate that the optimization of synaptic weight"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.01375","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":""},"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":"1811.01375","created_at":"2026-05-17T23:44:58.688645+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.01375v2","created_at":"2026-05-17T23:44:58.688645+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.01375","created_at":"2026-05-17T23:44:58.688645+00:00"},{"alias_kind":"pith_short_12","alias_value":"NV363J4QGYDI","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_16","alias_value":"NV363J4QGYDIWLRN","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_8","alias_value":"NV363J4Q","created_at":"2026-05-18T12:32:40.477152+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/NV363J4QGYDIWLRNEWRK7GWAMS","json":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS.json","graph_json":"https://pith.science/api/pith-number/NV363J4QGYDIWLRNEWRK7GWAMS/graph.json","events_json":"https://pith.science/api/pith-number/NV363J4QGYDIWLRNEWRK7GWAMS/events.json","paper":"https://pith.science/paper/NV363J4Q"},"agent_actions":{"view_html":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS","download_json":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS.json","view_paper":"https://pith.science/paper/NV363J4Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.01375&json=true","fetch_graph":"https://pith.science/api/pith-number/NV363J4QGYDIWLRNEWRK7GWAMS/graph.json","fetch_events":"https://pith.science/api/pith-number/NV363J4QGYDIWLRNEWRK7GWAMS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS/action/storage_attestation","attest_author":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS/action/author_attestation","sign_citation":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS/action/citation_signature","submit_replication":"https://pith.science/pith/NV363J4QGYDIWLRNEWRK7GWAMS/action/replication_record"}},"created_at":"2026-05-17T23:44:58.688645+00:00","updated_at":"2026-05-17T23:44:58.688645+00:00"}