{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7ZUJ6DJMDDXEIDVFBDJRLMVKB2","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":"784b3ea321c2103b8155347a9c905689bf9c5ddc6d9db30bf21ddf4a243f4563","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-05T18:59:52Z","title_canon_sha256":"aee2d01b925dfde82dfc6e6af0e31a55b06ba0f8071f846775ddd4998c72b97e"},"schema_version":"1.0","source":{"id":"2301.02240","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.02240","created_at":"2026-07-05T05:33:23Z"},{"alias_kind":"arxiv_version","alias_value":"2301.02240v2","created_at":"2026-07-05T05:33:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.02240","created_at":"2026-07-05T05:33:23Z"},{"alias_kind":"pith_short_12","alias_value":"7ZUJ6DJMDDXE","created_at":"2026-07-05T05:33:23Z"},{"alias_kind":"pith_short_16","alias_value":"7ZUJ6DJMDDXEIDVF","created_at":"2026-07-05T05:33:23Z"},{"alias_kind":"pith_short_8","alias_value":"7ZUJ6DJM","created_at":"2026-07-05T05:33:23Z"}],"graph_snapshots":[{"event_id":"sha256:ac88497b9f1686d6aba4a15945d2de977be991f1ccc4115eefdc3867f6c6de44","target":"graph","created_at":"2026-07-05T05:33:23Z","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/2301.02240/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work aims to improve the efficiency of vision transformers (ViT). While ViTs use computationally expensive self-attention operations in every layer, we identify that these operations are highly correlated across layers -- a key redundancy that causes unnecessary computations. Based on this observation, we propose SkipAt, a method to reuse self-attention computation from preceding layers to approximate attention at one or more subsequent layers. To ensure that reusing self-attention blocks across layers does not degrade the performance, we introduce a simple parametric function, which outp","authors_text":"Amir Ghodrati, Amirhossein Habibian, Fatih Porikli, Shashanka Venkataramanan, Yuki M. Asano","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-05T18:59:52Z","title":"Skip-Attention: Improving Vision Transformers by Paying Less Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.02240","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:bb1e852d468bc4bf49a09b046038a18cbd1d06bb16fe909f7b5c97aae36162a0","target":"record","created_at":"2026-07-05T05:33:23Z","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":"784b3ea321c2103b8155347a9c905689bf9c5ddc6d9db30bf21ddf4a243f4563","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-05T18:59:52Z","title_canon_sha256":"aee2d01b925dfde82dfc6e6af0e31a55b06ba0f8071f846775ddd4998c72b97e"},"schema_version":"1.0","source":{"id":"2301.02240","kind":"arxiv","version":2}},"canonical_sha256":"fe689f0d2c18ee440ea508d315b2aa0e8b9845c40117fff92d3450be06e3260d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe689f0d2c18ee440ea508d315b2aa0e8b9845c40117fff92d3450be06e3260d","first_computed_at":"2026-07-05T05:33:23.283336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:33:23.283336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mD8RrTctNVdZfyuqBI5pxAMvx14topIgUQOI6u+Y4lkGgZcZjzjaWvU5AIw7A+etulCIAESnv5/jwSGmvBUkAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:33:23.283824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.02240","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb1e852d468bc4bf49a09b046038a18cbd1d06bb16fe909f7b5c97aae36162a0","sha256:ac88497b9f1686d6aba4a15945d2de977be991f1ccc4115eefdc3867f6c6de44"],"state_sha256":"e1295c2b5d8d8a8a0280ca75c4613e4cff1d326a399e7e28031e0520e826f332"}