{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YAPCAVC5E5CJIXPK3YZLPN2RKC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"da7b8aac53df7dcfc47e7fbd63674abdc1f2ed50e75ec89bec3ac7c94d4b7b42","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-05T02:07:32Z","title_canon_sha256":"e51536a936e7d517d717e0f16480012a6bbec0a96e29ce7f0bc22d1b604c290f"},"schema_version":"1.0","source":{"id":"2201.01410","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.01410","created_at":"2026-07-05T09:12:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.01410v2","created_at":"2026-07-05T09:12:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01410","created_at":"2026-07-05T09:12:51Z"},{"alias_kind":"pith_short_12","alias_value":"YAPCAVC5E5CJ","created_at":"2026-07-05T09:12:51Z"},{"alias_kind":"pith_short_16","alias_value":"YAPCAVC5E5CJIXPK","created_at":"2026-07-05T09:12:51Z"},{"alias_kind":"pith_short_8","alias_value":"YAPCAVC5","created_at":"2026-07-05T09:12:51Z"}],"graph_snapshots":[{"event_id":"sha256:46b52f5d165ae6eec539aed31eb96498d7ddaef2e61a2cf8502e3a6981f71ed1","target":"graph","created_at":"2026-07-05T09:12:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2201.01410/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-attention module shows outstanding competence in capturing long-range relationships while enhancing performance on vision tasks, such as image classification and image captioning. However, the self-attention module highly relies on the dot product multiplication and dimension alignment among query-key-value features, which cause two problems: (1) The dot product multiplication results in exhaustive and redundant computation. (2) Due to the visual feature map often appearing as a multi-dimensional tensor, reshaping the scale of the tensor feature to adapt to the dimension alignment might d","authors_text":"Guangyang Zhu, Hai Lan, Jianfeng Zhang, Yuanzhi Feng","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-05T02:07:32Z","title":"Synthesizer Based Efficient Self-Attention for Vision Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01410","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:41100e645bc0f5df1720514c7883080e18a7e777bf4273395ab9c440033b2241","target":"record","created_at":"2026-07-05T09:12:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"da7b8aac53df7dcfc47e7fbd63674abdc1f2ed50e75ec89bec3ac7c94d4b7b42","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-05T02:07:32Z","title_canon_sha256":"e51536a936e7d517d717e0f16480012a6bbec0a96e29ce7f0bc22d1b604c290f"},"schema_version":"1.0","source":{"id":"2201.01410","kind":"arxiv","version":2}},"canonical_sha256":"c01e20545d2744945deade32b7b75150b157db6cbf3b8015b4542c821431d2c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c01e20545d2744945deade32b7b75150b157db6cbf3b8015b4542c821431d2c0","first_computed_at":"2026-07-05T09:12:51.550591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:51.550591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wfgy90B6GtGlieC0np/r+owOQf+z3wz45J90LaKU+A1hKsSWa5hjMsSlsB56KTUrDY/MNkP7ydhrWWOKXlOzCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:51.551014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.01410","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41100e645bc0f5df1720514c7883080e18a7e777bf4273395ab9c440033b2241","sha256:46b52f5d165ae6eec539aed31eb96498d7ddaef2e61a2cf8502e3a6981f71ed1"],"state_sha256":"57b1d00a1ce636c573e3961e0196eb2845058033819098dc9eea2ab678f94852"}