{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:SIRTCJMTDGKUGLJX6G4APKMGAI","short_pith_number":"pith:SIRTCJMT","schema_version":"1.0","canonical_sha256":"92233125931995432d37f1b807a986021a1d766e130f84b3b5bad9afce871aff","source":{"kind":"arxiv","id":"2307.01694","version":1},"attestation_state":"computed","paper":{"title":"Spike-driven Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.NE","authors_text":"Bo Xu, Guoqi Li, Jiakui Hu, Li Yuan, Man Yao, Yonghong Tian, Zhaokun Zhou","submitted_at":"2023-07-04T13:00:18Z","abstract_excerpt":"Spiking Neural Networks (SNNs) provide an energy-efficient deep learning option due to their unique spike-based event-driven (i.e., spike-driven) paradigm. In this paper, we incorporate the spike-driven paradigm into Transformer by the proposed Spike-driven Transformer with four unique properties: 1) Event-driven, no calculation is triggered when the input of Transformer is zero; 2) Binary spike communication, all matrix multiplications associated with the spike matrix can be transformed into sparse additions; 3) Self-attention with linear complexity at both token and channel dimensions; 4) Th"},"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":"2307.01694","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-07-04T13:00:18Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b61a82a6bf2f5d7554313a2aa302ef9623fad5d0a3e414f900804ab8e3af24e7","abstract_canon_sha256":"0ff0f55826f35697799f38164a9668e1a5c80edf57d7758c43b65e176cd78d0a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:27:59.751932Z","signature_b64":"MMKN9qm56BKX6jjaSIlbBsZqvSc1+81KOkr+v8aoHM6b02ZD+u4H5BxZpWwaxP0QiRuBxHoDnqwv66vLikVCDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92233125931995432d37f1b807a986021a1d766e130f84b3b5bad9afce871aff","last_reissued_at":"2026-07-05T06:27:59.751535Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:27:59.751535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spike-driven Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.NE","authors_text":"Bo Xu, Guoqi Li, Jiakui Hu, Li Yuan, Man Yao, Yonghong Tian, Zhaokun Zhou","submitted_at":"2023-07-04T13:00:18Z","abstract_excerpt":"Spiking Neural Networks (SNNs) provide an energy-efficient deep learning option due to their unique spike-based event-driven (i.e., spike-driven) paradigm. In this paper, we incorporate the spike-driven paradigm into Transformer by the proposed Spike-driven Transformer with four unique properties: 1) Event-driven, no calculation is triggered when the input of Transformer is zero; 2) Binary spike communication, all matrix multiplications associated with the spike matrix can be transformed into sparse additions; 3) Self-attention with linear complexity at both token and channel dimensions; 4) Th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01694","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/2307.01694/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":"2307.01694","created_at":"2026-07-05T06:27:59.751598+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.01694v1","created_at":"2026-07-05T06:27:59.751598+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01694","created_at":"2026-07-05T06:27:59.751598+00:00"},{"alias_kind":"pith_short_12","alias_value":"SIRTCJMTDGKU","created_at":"2026-07-05T06:27:59.751598+00:00"},{"alias_kind":"pith_short_16","alias_value":"SIRTCJMTDGKUGLJX","created_at":"2026-07-05T06:27:59.751598+00:00"},{"alias_kind":"pith_short_8","alias_value":"SIRTCJMT","created_at":"2026-07-05T06:27:59.751598+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/SIRTCJMTDGKUGLJX6G4APKMGAI","json":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI.json","graph_json":"https://pith.science/api/pith-number/SIRTCJMTDGKUGLJX6G4APKMGAI/graph.json","events_json":"https://pith.science/api/pith-number/SIRTCJMTDGKUGLJX6G4APKMGAI/events.json","paper":"https://pith.science/paper/SIRTCJMT"},"agent_actions":{"view_html":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI","download_json":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI.json","view_paper":"https://pith.science/paper/SIRTCJMT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.01694&json=true","fetch_graph":"https://pith.science/api/pith-number/SIRTCJMTDGKUGLJX6G4APKMGAI/graph.json","fetch_events":"https://pith.science/api/pith-number/SIRTCJMTDGKUGLJX6G4APKMGAI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI/action/storage_attestation","attest_author":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI/action/author_attestation","sign_citation":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI/action/citation_signature","submit_replication":"https://pith.science/pith/SIRTCJMTDGKUGLJX6G4APKMGAI/action/replication_record"}},"created_at":"2026-07-05T06:27:59.751598+00:00","updated_at":"2026-07-05T06:27:59.751598+00:00"}