{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TEBF7JPAIYBD5SIZIGFC2J5Z2G","short_pith_number":"pith:TEBF7JPA","canonical_record":{"source":{"id":"2107.02960","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-07T00:48:09Z","cross_cats_sorted":[],"title_canon_sha256":"88cd4490e629670d838e2e60e3acd01f9d8863115540765ad61116da4226753e","abstract_canon_sha256":"a0bf8cd874a902a01b66a07741e3ed106aa181677f913d5ae370c57549d55811"},"schema_version":"1.0"},"canonical_sha256":"99025fa5e046023ec919418a2d27b9d1a86dbd8c40322f42f04eb8b653009ea7","source":{"kind":"arxiv","id":"2107.02960","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.02960","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"arxiv_version","alias_value":"2107.02960v3","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.02960","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"pith_short_12","alias_value":"TEBF7JPAIYBD","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"pith_short_16","alias_value":"TEBF7JPAIYBD5SIZ","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"pith_short_8","alias_value":"TEBF7JPA","created_at":"2026-07-05T03:06:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TEBF7JPAIYBD5SIZIGFC2J5Z2G","target":"record","payload":{"canonical_record":{"source":{"id":"2107.02960","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-07T00:48:09Z","cross_cats_sorted":[],"title_canon_sha256":"88cd4490e629670d838e2e60e3acd01f9d8863115540765ad61116da4226753e","abstract_canon_sha256":"a0bf8cd874a902a01b66a07741e3ed106aa181677f913d5ae370c57549d55811"},"schema_version":"1.0"},"canonical_sha256":"99025fa5e046023ec919418a2d27b9d1a86dbd8c40322f42f04eb8b653009ea7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:06:31.045587Z","signature_b64":"0Pu9eLTsqBHYw5QCOPnrlL49+j7y2ZyxzdHFsaU8V5D5JtTJFE3Usy3fYY7KwM03m7yRL+1Hp/Esk/bA2uhyDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99025fa5e046023ec919418a2d27b9d1a86dbd8c40322f42f04eb8b653009ea7","last_reissued_at":"2026-07-05T03:06:31.045181Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:06:31.045181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.02960","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:06:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9gqPYAMHUgFn/YSWI4snR5m3OuXVbtXOcWFQkozgYt1vkUHBOYsz55sHvLNMVhiwfuqamglLpZDCsPryx3dJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:16:55.988102Z"},"content_sha256":"19b1ae9417943c596e4c57e78697b482e9262a4f2fed592e2f1bb4d6c1f24f0e","schema_version":"1.0","event_id":"sha256:19b1ae9417943c596e4c57e78697b482e9262a4f2fed592e2f1bb4d6c1f24f0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TEBF7JPAIYBD5SIZIGFC2J5Z2G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GLiT: Neural Architecture Search for Global and Local Image Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baopu Li, Boyu Chen, Chen Lin, Chuming Li, Junjie Yan, Lei Bai, Ming Sun, Peixia Li, Wanli Ouyang","submitted_at":"2021-07-07T00:48:09Z","abstract_excerpt":"We introduce the first Neural Architecture Search (NAS) method to find a better transformer architecture for image recognition. Recently, transformers without CNN-based backbones are found to achieve impressive performance for image recognition. However, the transformer is designed for NLP tasks and thus could be sub-optimal when directly used for image recognition. In order to improve the visual representation ability for transformers, we propose a new search space and searching algorithm. Specifically, we introduce a locality module that models the local correlations in images explicitly wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.02960","kind":"arxiv","version":3},"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/2107.02960/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:06:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4BWI9MwB4zWZ6WKB3e08BmZnyS/lT4GvrIcaVeiUKud6CaFRBLTFdDEZlzhoY1HTMd+eaWHDltIi7/6P1AKhAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:16:55.988596Z"},"content_sha256":"cdf2baaf8865656e565b8537ac814e7d5db5526a5a28e204d97c7203a676a02a","schema_version":"1.0","event_id":"sha256:cdf2baaf8865656e565b8537ac814e7d5db5526a5a28e204d97c7203a676a02a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G/bundle.json","state_url":"https://pith.science/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T02:16:55Z","links":{"resolver":"https://pith.science/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G","bundle":"https://pith.science/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G/bundle.json","state":"https://pith.science/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TEBF7JPAIYBD5SIZIGFC2J5Z2G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TEBF7JPAIYBD5SIZIGFC2J5Z2G","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":"a0bf8cd874a902a01b66a07741e3ed106aa181677f913d5ae370c57549d55811","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-07T00:48:09Z","title_canon_sha256":"88cd4490e629670d838e2e60e3acd01f9d8863115540765ad61116da4226753e"},"schema_version":"1.0","source":{"id":"2107.02960","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.02960","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"arxiv_version","alias_value":"2107.02960v3","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.02960","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"pith_short_12","alias_value":"TEBF7JPAIYBD","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"pith_short_16","alias_value":"TEBF7JPAIYBD5SIZ","created_at":"2026-07-05T03:06:31Z"},{"alias_kind":"pith_short_8","alias_value":"TEBF7JPA","created_at":"2026-07-05T03:06:31Z"}],"graph_snapshots":[{"event_id":"sha256:cdf2baaf8865656e565b8537ac814e7d5db5526a5a28e204d97c7203a676a02a","target":"graph","created_at":"2026-07-05T03:06:31Z","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/2107.02960/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the first Neural Architecture Search (NAS) method to find a better transformer architecture for image recognition. Recently, transformers without CNN-based backbones are found to achieve impressive performance for image recognition. However, the transformer is designed for NLP tasks and thus could be sub-optimal when directly used for image recognition. In order to improve the visual representation ability for transformers, we propose a new search space and searching algorithm. Specifically, we introduce a locality module that models the local correlations in images explicitly wit","authors_text":"Baopu Li, Boyu Chen, Chen Lin, Chuming Li, Junjie Yan, Lei Bai, Ming Sun, Peixia Li, Wanli Ouyang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-07T00:48:09Z","title":"GLiT: Neural Architecture Search for Global and Local Image Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.02960","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":"sha256:19b1ae9417943c596e4c57e78697b482e9262a4f2fed592e2f1bb4d6c1f24f0e","target":"record","created_at":"2026-07-05T03:06:31Z","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":"a0bf8cd874a902a01b66a07741e3ed106aa181677f913d5ae370c57549d55811","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-07T00:48:09Z","title_canon_sha256":"88cd4490e629670d838e2e60e3acd01f9d8863115540765ad61116da4226753e"},"schema_version":"1.0","source":{"id":"2107.02960","kind":"arxiv","version":3}},"canonical_sha256":"99025fa5e046023ec919418a2d27b9d1a86dbd8c40322f42f04eb8b653009ea7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99025fa5e046023ec919418a2d27b9d1a86dbd8c40322f42f04eb8b653009ea7","first_computed_at":"2026-07-05T03:06:31.045181Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:06:31.045181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0Pu9eLTsqBHYw5QCOPnrlL49+j7y2ZyxzdHFsaU8V5D5JtTJFE3Usy3fYY7KwM03m7yRL+1Hp/Esk/bA2uhyDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:06:31.045587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.02960","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19b1ae9417943c596e4c57e78697b482e9262a4f2fed592e2f1bb4d6c1f24f0e","sha256:cdf2baaf8865656e565b8537ac814e7d5db5526a5a28e204d97c7203a676a02a"],"state_sha256":"d3afab0da8391c41338a2ca1f920f3c249edde7b69e0911c913e5918fc5976a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6px4+JvS14+OILvtbpSa2uAaCpGXa6pnfeNMwbHjFq2TsvhbkFZMYuSEdWwIk9eqaRbh9qPM0b7XYxT5m+E4AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T02:16:55.992447Z","bundle_sha256":"3085c4eb9a06777652ec695c7ab31f20a6bb17d53d01408553b49ab3e5715b7d"}}