{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:E6JZ2VOWNEGRI2WMP7D7AR4GOW","short_pith_number":"pith:E6JZ2VOW","schema_version":"1.0","canonical_sha256":"27939d55d6690d146acc7fc7f04786758b2cc3ac371276d6fffbed8655fb8a21","source":{"kind":"arxiv","id":"1902.07707","version":1},"attestation_state":"computed","paper":{"title":"An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Goki Iwamoto, Hakaru Tamukoh, Masatoshi Yamaguchi, Takashi Morie","submitted_at":"2019-02-16T16:34:31Z","abstract_excerpt":"A time-domain analog-weighted-sum calculation model based on a pulse-width modulation (PWM) approach is proposed. The proposed calculation model can be applied to any types of network structure including multi-layer feedforward networks. We also propose very large-scale integrated (VLSI) circuits to implement the proposed model. Unlike the conventional analog voltage or current mode circuits used in computing-in-memory circuits, our time-domain analog circuits use transient operation in charging/discharging processes to capacitors. Since the circuits can be designed without operational amplifi"},"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":"1902.07707","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2019-02-16T16:34:31Z","cross_cats_sorted":[],"title_canon_sha256":"2eacc1f4f63c0d60c9e880f417d64b442faa3dcd8565cc28109759803c64aaa4","abstract_canon_sha256":"fb8e25b1c41aa6e8ba91cfc140e00745295009d412d342415e11639027d1424e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:07.098518Z","signature_b64":"fNJhM8XMSHZIvEWE1uHhajeA+dk+9tJDmcoZNuBY4w/zSXa5ngenT4/IlkZPgXdnK5i29CXgi/MNilFh6863Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27939d55d6690d146acc7fc7f04786758b2cc3ac371276d6fffbed8655fb8a21","last_reissued_at":"2026-05-17T23:53:07.097858Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:07.097858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Goki Iwamoto, Hakaru Tamukoh, Masatoshi Yamaguchi, Takashi Morie","submitted_at":"2019-02-16T16:34:31Z","abstract_excerpt":"A time-domain analog-weighted-sum calculation model based on a pulse-width modulation (PWM) approach is proposed. The proposed calculation model can be applied to any types of network structure including multi-layer feedforward networks. We also propose very large-scale integrated (VLSI) circuits to implement the proposed model. Unlike the conventional analog voltage or current mode circuits used in computing-in-memory circuits, our time-domain analog circuits use transient operation in charging/discharging processes to capacitors. Since the circuits can be designed without operational amplifi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07707","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":""},"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":"1902.07707","created_at":"2026-05-17T23:53:07.097957+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.07707v1","created_at":"2026-05-17T23:53:07.097957+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07707","created_at":"2026-05-17T23:53:07.097957+00:00"},{"alias_kind":"pith_short_12","alias_value":"E6JZ2VOWNEGR","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"E6JZ2VOWNEGRI2WM","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"E6JZ2VOW","created_at":"2026-05-18T12:33:15.570797+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/E6JZ2VOWNEGRI2WMP7D7AR4GOW","json":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW.json","graph_json":"https://pith.science/api/pith-number/E6JZ2VOWNEGRI2WMP7D7AR4GOW/graph.json","events_json":"https://pith.science/api/pith-number/E6JZ2VOWNEGRI2WMP7D7AR4GOW/events.json","paper":"https://pith.science/paper/E6JZ2VOW"},"agent_actions":{"view_html":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW","download_json":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW.json","view_paper":"https://pith.science/paper/E6JZ2VOW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.07707&json=true","fetch_graph":"https://pith.science/api/pith-number/E6JZ2VOWNEGRI2WMP7D7AR4GOW/graph.json","fetch_events":"https://pith.science/api/pith-number/E6JZ2VOWNEGRI2WMP7D7AR4GOW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW/action/storage_attestation","attest_author":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW/action/author_attestation","sign_citation":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW/action/citation_signature","submit_replication":"https://pith.science/pith/E6JZ2VOWNEGRI2WMP7D7AR4GOW/action/replication_record"}},"created_at":"2026-05-17T23:53:07.097957+00:00","updated_at":"2026-05-17T23:53:07.097957+00:00"}