{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:PQZ7ILSAUFQMGQ44QCDJRSWI62","short_pith_number":"pith:PQZ7ILSA","schema_version":"1.0","canonical_sha256":"7c33f42e40a160c3439c808698cac8f6bef55dad3d78f33f961cd4fd913f3e7e","source":{"kind":"arxiv","id":"2501.04141","version":1},"attestation_state":"computed","paper":{"title":"Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Federico Corradi, Lorenzo Pes, Maryam Dehbashizadeh Chehreghan, Rick Luiken, Ripalta Stabile, Sander Stuijk","submitted_at":"2025-01-07T21:09:16Z","abstract_excerpt":"This work evaluates a forward-only learning algorithm on the MNIST dataset with hardware-in-the-loop training of a 4f optical correlator, achieving 87.6% accuracy with O(n2) complexity, compared to backpropagation, which achieves 88.8% accuracy with O(n2 log n) complexity."},"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":"2501.04141","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2025-01-07T21:09:16Z","cross_cats_sorted":[],"title_canon_sha256":"9e59e3236726198b6d5af87281ed097cab754cfd85890156f8bba3257b7cdf4f","abstract_canon_sha256":"bb7fd443ddfdbf047be2ad210316f58f96d26d864883e2c8bb13989cacdefa54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:58:30.625222Z","signature_b64":"WU9hxIenRsFFPvDGcV4T1ZpiP3+ojjHDuqBBuRewDrCs90vCjRY9XF8juxQk4ytvEBg9phZ3V4XbsqG6TiIIDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c33f42e40a160c3439c808698cac8f6bef55dad3d78f33f961cd4fd913f3e7e","last_reissued_at":"2026-07-05T09:58:30.624735Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:58:30.624735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Federico Corradi, Lorenzo Pes, Maryam Dehbashizadeh Chehreghan, Rick Luiken, Ripalta Stabile, Sander Stuijk","submitted_at":"2025-01-07T21:09:16Z","abstract_excerpt":"This work evaluates a forward-only learning algorithm on the MNIST dataset with hardware-in-the-loop training of a 4f optical correlator, achieving 87.6% accuracy with O(n2) complexity, compared to backpropagation, which achieves 88.8% accuracy with O(n2 log n) complexity."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.04141","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/2501.04141/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":"2501.04141","created_at":"2026-07-05T09:58:30.624793+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.04141v1","created_at":"2026-07-05T09:58:30.624793+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.04141","created_at":"2026-07-05T09:58:30.624793+00:00"},{"alias_kind":"pith_short_12","alias_value":"PQZ7ILSAUFQM","created_at":"2026-07-05T09:58:30.624793+00:00"},{"alias_kind":"pith_short_16","alias_value":"PQZ7ILSAUFQMGQ44","created_at":"2026-07-05T09:58:30.624793+00:00"},{"alias_kind":"pith_short_8","alias_value":"PQZ7ILSA","created_at":"2026-07-05T09:58:30.624793+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/PQZ7ILSAUFQMGQ44QCDJRSWI62","json":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62.json","graph_json":"https://pith.science/api/pith-number/PQZ7ILSAUFQMGQ44QCDJRSWI62/graph.json","events_json":"https://pith.science/api/pith-number/PQZ7ILSAUFQMGQ44QCDJRSWI62/events.json","paper":"https://pith.science/paper/PQZ7ILSA"},"agent_actions":{"view_html":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62","download_json":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62.json","view_paper":"https://pith.science/paper/PQZ7ILSA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.04141&json=true","fetch_graph":"https://pith.science/api/pith-number/PQZ7ILSAUFQMGQ44QCDJRSWI62/graph.json","fetch_events":"https://pith.science/api/pith-number/PQZ7ILSAUFQMGQ44QCDJRSWI62/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62/action/storage_attestation","attest_author":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62/action/author_attestation","sign_citation":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62/action/citation_signature","submit_replication":"https://pith.science/pith/PQZ7ILSAUFQMGQ44QCDJRSWI62/action/replication_record"}},"created_at":"2026-07-05T09:58:30.624793+00:00","updated_at":"2026-07-05T09:58:30.624793+00:00"}