{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TDQ3FTOIRPXU3DDP7UCPQ6EWFP","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":"db2af4f62a06ba4ac40a8a5def7b03543deaba5b36498f8420babee4b5c23e63","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T09:44:44Z","title_canon_sha256":"a66a00fdc4ae73862b0945c6d0edc08c29e58d0e93523b3cb4b0ea92b53859a4"},"schema_version":"1.0","source":{"id":"2505.16463","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16463","created_at":"2026-07-05T11:23:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16463v3","created_at":"2026-07-05T11:23:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16463","created_at":"2026-07-05T11:23:50Z"},{"alias_kind":"pith_short_12","alias_value":"TDQ3FTOIRPXU","created_at":"2026-07-05T11:23:50Z"},{"alias_kind":"pith_short_16","alias_value":"TDQ3FTOIRPXU3DDP","created_at":"2026-07-05T11:23:50Z"},{"alias_kind":"pith_short_8","alias_value":"TDQ3FTOI","created_at":"2026-07-05T11:23:50Z"}],"graph_snapshots":[{"event_id":"sha256:683013e761f20ccaf9932f038f5a1f8206c12734d9c146c225721e68368927d6","target":"graph","created_at":"2026-07-05T11:23:50Z","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/2505.16463/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, vision transformers (ViTs) have achieved excellent performance on vision tasks by measuring the global self-attention among the image patches. Given $n$ patches, they will have quadratic complexity such as $\\mathcal{O}(n^2)$ and the time cost is high when splitting the input image with a small granularity. Meanwhile, the pivotal information is often randomly gathered in a few regions of an input image, some tokens may not be helpful for the downstream tasks. To handle this problem, we introduce an anchor-based efficient vision transformer (AnchorFormer), which employs the anchor toke","authors_text":"Hongyuan Zhang, Ioannis Liritzis, Jiquan Shan, Junxiao Wang, Liang Cai, Lifeng Zhao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T09:44:44Z","title":"AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16463","kind":"arxiv","version":3},"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:f3a7d582764151d1ae78c1995b22e3ab804b8176c631055e16ca1a8f5ed25144","target":"record","created_at":"2026-07-05T11:23:50Z","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":"db2af4f62a06ba4ac40a8a5def7b03543deaba5b36498f8420babee4b5c23e63","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T09:44:44Z","title_canon_sha256":"a66a00fdc4ae73862b0945c6d0edc08c29e58d0e93523b3cb4b0ea92b53859a4"},"schema_version":"1.0","source":{"id":"2505.16463","kind":"arxiv","version":3}},"canonical_sha256":"98e1b2cdc88bef4d8c6ffd04f878962bda6c3ac500092548b59e49733315b603","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98e1b2cdc88bef4d8c6ffd04f878962bda6c3ac500092548b59e49733315b603","first_computed_at":"2026-07-05T11:23:50.122014Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:50.122014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BqBsjdJt0ORjV3rHxFHwgV6h6FPLFw5XA162VJz5zC6SHup+nN7nT89sIt1P0HacU4z7kwwK9zLp1ePdP39KBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:50.122528Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16463","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3a7d582764151d1ae78c1995b22e3ab804b8176c631055e16ca1a8f5ed25144","sha256:683013e761f20ccaf9932f038f5a1f8206c12734d9c146c225721e68368927d6"],"state_sha256":"5fee44fa41bf290b468506a862daff919f7989270a7dd32551fdc4ce2f6eb71a"}