{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3XLAU2UOCVVI744B6DXI3NQ5OT","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":"a614c737c9daec0db73ddb81012ff1a45cb5d8966fd6b63deab64cd7380c77e9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T22:29:52Z","title_canon_sha256":"b55135bec6ce1475dc7a43324916c08a62f240964c76fc5bc3843895dce46e6b"},"schema_version":"1.0","source":{"id":"2105.02358","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.02358","created_at":"2026-07-05T02:44:37Z"},{"alias_kind":"arxiv_version","alias_value":"2105.02358v2","created_at":"2026-07-05T02:44:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.02358","created_at":"2026-07-05T02:44:37Z"},{"alias_kind":"pith_short_12","alias_value":"3XLAU2UOCVVI","created_at":"2026-07-05T02:44:37Z"},{"alias_kind":"pith_short_16","alias_value":"3XLAU2UOCVVI744B","created_at":"2026-07-05T02:44:37Z"},{"alias_kind":"pith_short_8","alias_value":"3XLAU2UO","created_at":"2026-07-05T02:44:37Z"}],"graph_snapshots":[{"event_id":"sha256:e4af6ec2afee65c4e59de4ca2832e306fd98406f91fb8aff7762ff7196c6d9e2","target":"graph","created_at":"2026-07-05T02:44:37Z","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/2105.02358/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Attention mechanisms, especially self-attention, have played an increasingly important role in deep feature representation for visual tasks. Self-attention updates the feature at each position by computing a weighted sum of features using pair-wise affinities across all positions to capture the long-range dependency within a single sample. However, self-attention has quadratic complexity and ignores potential correlation between different samples. This paper proposes a novel attention mechanism which we call external attention, based on two external, small, learnable, shared memories, which ca","authors_text":"Meng-Hao Guo, Shi-Min Hu, Tai-Jiang Mu, Zheng-Ning Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T22:29:52Z","title":"Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.02358","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:d5482c26fb55ebbddfe34a5ff04722d38b4882252fe8d888bffe5de9db7f9349","target":"record","created_at":"2026-07-05T02:44:37Z","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":"a614c737c9daec0db73ddb81012ff1a45cb5d8966fd6b63deab64cd7380c77e9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T22:29:52Z","title_canon_sha256":"b55135bec6ce1475dc7a43324916c08a62f240964c76fc5bc3843895dce46e6b"},"schema_version":"1.0","source":{"id":"2105.02358","kind":"arxiv","version":2}},"canonical_sha256":"ddd60a6a8e156a8ff381f0ee8db61d74fb493cf1e5f358f724131492ddf6f6fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddd60a6a8e156a8ff381f0ee8db61d74fb493cf1e5f358f724131492ddf6f6fa","first_computed_at":"2026-07-05T02:44:37.221010Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:37.221010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"srOmyCjy8L1CpfT+ZC3aytwNH6KIrtD3qcJn9IRx2LeeSJsKT8qb77pY0gcdAulcsfEGatN8iGP8+uh18lHJAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:37.221513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.02358","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5482c26fb55ebbddfe34a5ff04722d38b4882252fe8d888bffe5de9db7f9349","sha256:e4af6ec2afee65c4e59de4ca2832e306fd98406f91fb8aff7762ff7196c6d9e2"],"state_sha256":"fe9fb02cf61143f487571cf474331fa2cb1d6d3f3ba4dc303eaa44a33f46b2b1"}