{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ODVOGTEEFXWSQS5Y3GON7SSFR4","short_pith_number":"pith:ODVOGTEE","schema_version":"1.0","canonical_sha256":"70eae34c842ded284bb8d99cdfca458f391d78f7567261413366709d6e5164e7","source":{"kind":"arxiv","id":"2402.15121","version":1},"attestation_state":"computed","paper":{"title":"Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET","eess.IV"],"primary_cat":"cs.AR","authors_text":"Akhilesh R. Jaiswal, Gourav Datta, Md Abdullah-Al Kaiser, Peter A. Beerel","submitted_at":"2024-02-23T06:13:15Z","abstract_excerpt":"The desire to empower resource-limited edge devices with computer vision (CV) must overcome the high energy consumption of collecting and processing vast sensory data. To address the challenge, this work proposes an energy-efficient non-von-Neumann in-pixel processing solution for neuromorphic vision sensors employing emerging (X) magnetic domain wall magnetic tunnel junction (MDWMTJ) for the first time, in conjunction with CMOS-based neuromorphic pixels. Our hybrid CMOS+X approach performs in-situ massively parallel asynchronous analog convolution, exhibiting low power consumption and high ac"},"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":"2402.15121","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-02-23T06:13:15Z","cross_cats_sorted":["cs.ET","eess.IV"],"title_canon_sha256":"b3efd4aad011bda56c34d0dfc51081ce756f2864a4a23bd0293d1879bcf92f3f","abstract_canon_sha256":"e3eae390eea22fbfb5088e364ca278814b5d73ff7eaa8142f336be75b0d10c27"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:48:36.220934Z","signature_b64":"HrIXC4DsXe004M9E4PvGGdEbmiVi7DPTgL7lQrxDqo5hc7Re3nVPXwKmq5omO0bjXX1ptcB/JWgSITY7wagLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70eae34c842ded284bb8d99cdfca458f391d78f7567261413366709d6e5164e7","last_reissued_at":"2026-07-05T07:48:36.220445Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:48:36.220445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET","eess.IV"],"primary_cat":"cs.AR","authors_text":"Akhilesh R. Jaiswal, Gourav Datta, Md Abdullah-Al Kaiser, Peter A. Beerel","submitted_at":"2024-02-23T06:13:15Z","abstract_excerpt":"The desire to empower resource-limited edge devices with computer vision (CV) must overcome the high energy consumption of collecting and processing vast sensory data. To address the challenge, this work proposes an energy-efficient non-von-Neumann in-pixel processing solution for neuromorphic vision sensors employing emerging (X) magnetic domain wall magnetic tunnel junction (MDWMTJ) for the first time, in conjunction with CMOS-based neuromorphic pixels. Our hybrid CMOS+X approach performs in-situ massively parallel asynchronous analog convolution, exhibiting low power consumption and high ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15121","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/2402.15121/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":"2402.15121","created_at":"2026-07-05T07:48:36.220502+00:00"},{"alias_kind":"arxiv_version","alias_value":"2402.15121v1","created_at":"2026-07-05T07:48:36.220502+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15121","created_at":"2026-07-05T07:48:36.220502+00:00"},{"alias_kind":"pith_short_12","alias_value":"ODVOGTEEFXWS","created_at":"2026-07-05T07:48:36.220502+00:00"},{"alias_kind":"pith_short_16","alias_value":"ODVOGTEEFXWSQS5Y","created_at":"2026-07-05T07:48:36.220502+00:00"},{"alias_kind":"pith_short_8","alias_value":"ODVOGTEE","created_at":"2026-07-05T07:48:36.220502+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/ODVOGTEEFXWSQS5Y3GON7SSFR4","json":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4.json","graph_json":"https://pith.science/api/pith-number/ODVOGTEEFXWSQS5Y3GON7SSFR4/graph.json","events_json":"https://pith.science/api/pith-number/ODVOGTEEFXWSQS5Y3GON7SSFR4/events.json","paper":"https://pith.science/paper/ODVOGTEE"},"agent_actions":{"view_html":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4","download_json":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4.json","view_paper":"https://pith.science/paper/ODVOGTEE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2402.15121&json=true","fetch_graph":"https://pith.science/api/pith-number/ODVOGTEEFXWSQS5Y3GON7SSFR4/graph.json","fetch_events":"https://pith.science/api/pith-number/ODVOGTEEFXWSQS5Y3GON7SSFR4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4/action/storage_attestation","attest_author":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4/action/author_attestation","sign_citation":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4/action/citation_signature","submit_replication":"https://pith.science/pith/ODVOGTEEFXWSQS5Y3GON7SSFR4/action/replication_record"}},"created_at":"2026-07-05T07:48:36.220502+00:00","updated_at":"2026-07-05T07:48:36.220502+00:00"}