{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:CGXBXTQKGQXWDM7TJK4SBZPRDR","short_pith_number":"pith:CGXBXTQK","schema_version":"1.0","canonical_sha256":"11ae1bce0a342f61b3f34ab920e5f11c56ac5975a8c4d41a5868b99e577e33c0","source":{"kind":"arxiv","id":"2203.12217","version":1},"attestation_state":"computed","paper":{"title":"Training-free Transformer Architecture Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Chen, Kekai Sheng, Ke Li, Qinqin Zhou, Rongrong Ji, Xiawu Zheng, Xing Sun, Yonghong Tian","submitted_at":"2022-03-23T06:06:54Z","abstract_excerpt":"Recently, Vision Transformer (ViT) has achieved remarkable success in several computer vision tasks. The progresses are highly relevant to the architecture design, then it is worthwhile to propose Transformer Architecture Search (TAS) to search for better ViTs automatically. However, current TAS methods are time-consuming and existing zero-cost proxies in CNN do not generalize well to the ViT search space according to our experimental observations. In this paper, for the first time, we investigate how to conduct TAS in a training-free manner and devise an effective training-free TAS (TF-TAS) s"},"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":"2203.12217","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-23T06:06:54Z","cross_cats_sorted":[],"title_canon_sha256":"e0b10c060f7abde738d8580aa8662fad61d31f771aaa181f6f0d5252e64372a9","abstract_canon_sha256":"9441f91bb68274f6c0054e8a770a8968d069ebc7f9411bfcf3290f3bae51f1ae"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:07:57.012099Z","signature_b64":"ZbXaf0NpfbrMOJy+CxfX5N9eEQHjupknGY1eiiEz/rCvMQ7P551DpcH3PmQbsL0CZ+1gnnFl5C8qRZHAFDezCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11ae1bce0a342f61b3f34ab920e5f11c56ac5975a8c4d41a5868b99e577e33c0","last_reissued_at":"2026-07-05T04:07:57.011530Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:07:57.011530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Training-free Transformer Architecture Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Chen, Kekai Sheng, Ke Li, Qinqin Zhou, Rongrong Ji, Xiawu Zheng, Xing Sun, Yonghong Tian","submitted_at":"2022-03-23T06:06:54Z","abstract_excerpt":"Recently, Vision Transformer (ViT) has achieved remarkable success in several computer vision tasks. The progresses are highly relevant to the architecture design, then it is worthwhile to propose Transformer Architecture Search (TAS) to search for better ViTs automatically. However, current TAS methods are time-consuming and existing zero-cost proxies in CNN do not generalize well to the ViT search space according to our experimental observations. In this paper, for the first time, we investigate how to conduct TAS in a training-free manner and devise an effective training-free TAS (TF-TAS) s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.12217","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/2203.12217/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":"2203.12217","created_at":"2026-07-05T04:07:57.011590+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.12217v1","created_at":"2026-07-05T04:07:57.011590+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.12217","created_at":"2026-07-05T04:07:57.011590+00:00"},{"alias_kind":"pith_short_12","alias_value":"CGXBXTQKGQXW","created_at":"2026-07-05T04:07:57.011590+00:00"},{"alias_kind":"pith_short_16","alias_value":"CGXBXTQKGQXWDM7T","created_at":"2026-07-05T04:07:57.011590+00:00"},{"alias_kind":"pith_short_8","alias_value":"CGXBXTQK","created_at":"2026-07-05T04:07:57.011590+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/CGXBXTQKGQXWDM7TJK4SBZPRDR","json":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR.json","graph_json":"https://pith.science/api/pith-number/CGXBXTQKGQXWDM7TJK4SBZPRDR/graph.json","events_json":"https://pith.science/api/pith-number/CGXBXTQKGQXWDM7TJK4SBZPRDR/events.json","paper":"https://pith.science/paper/CGXBXTQK"},"agent_actions":{"view_html":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR","download_json":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR.json","view_paper":"https://pith.science/paper/CGXBXTQK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.12217&json=true","fetch_graph":"https://pith.science/api/pith-number/CGXBXTQKGQXWDM7TJK4SBZPRDR/graph.json","fetch_events":"https://pith.science/api/pith-number/CGXBXTQKGQXWDM7TJK4SBZPRDR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR/action/storage_attestation","attest_author":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR/action/author_attestation","sign_citation":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR/action/citation_signature","submit_replication":"https://pith.science/pith/CGXBXTQKGQXWDM7TJK4SBZPRDR/action/replication_record"}},"created_at":"2026-07-05T04:07:57.011590+00:00","updated_at":"2026-07-05T04:07:57.011590+00:00"}