{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QISRGCYTL3ZRFKBYOUFWPCYH2M","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":"9c7c47067f01e5ea40e7fef6787c141cd075d95d082e66eaaf162ca9fbc90dbc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-13T06:03:28Z","title_canon_sha256":"2551852f7ec95829ac833a881fbc47bf436ae39e341bcebcbd1d69afc7bc7cd4"},"schema_version":"1.0","source":{"id":"2211.06828","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.06828","created_at":"2026-07-05T06:33:17Z"},{"alias_kind":"arxiv_version","alias_value":"2211.06828v3","created_at":"2026-07-05T06:33:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.06828","created_at":"2026-07-05T06:33:17Z"},{"alias_kind":"pith_short_12","alias_value":"QISRGCYTL3ZR","created_at":"2026-07-05T06:33:17Z"},{"alias_kind":"pith_short_16","alias_value":"QISRGCYTL3ZRFKBY","created_at":"2026-07-05T06:33:17Z"},{"alias_kind":"pith_short_8","alias_value":"QISRGCYT","created_at":"2026-07-05T06:33:17Z"}],"graph_snapshots":[{"event_id":"sha256:3ca5fa669f7ab76df028ad1f89b9d4c1dcbf7ce7cec6cb52cd7fead76384200c","target":"graph","created_at":"2026-07-05T06:33:17Z","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/2211.06828/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support samples only. One major challenge of the few-shot learning problem is the large variety of object visual appearances that prevents the support samples to represent that object comprehensively. This might result in a significant difference between support and query samples, therefore undermining the performance of few-shot algorithms. In this paper, we tackle the problem by proposing Few-shot Cosine Transformer (FS-CT), whe","authors_text":"Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham, Quang-Huy Nguyen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-13T06:03:28Z","title":"Enhancing Few-shot Image Classification with Cosine Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.06828","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:be17aa88ae9919345a1e77e912635e92d9aa5fd0c8417bba948b4a0c20a8490b","target":"record","created_at":"2026-07-05T06:33:17Z","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":"9c7c47067f01e5ea40e7fef6787c141cd075d95d082e66eaaf162ca9fbc90dbc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-13T06:03:28Z","title_canon_sha256":"2551852f7ec95829ac833a881fbc47bf436ae39e341bcebcbd1d69afc7bc7cd4"},"schema_version":"1.0","source":{"id":"2211.06828","kind":"arxiv","version":3}},"canonical_sha256":"8225130b135ef312a838750b678b07d30d26eebda12986c03892dcb1cdfddb4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8225130b135ef312a838750b678b07d30d26eebda12986c03892dcb1cdfddb4f","first_computed_at":"2026-07-05T06:33:17.712908Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:33:17.712908Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X76AdS6m7bxh2MhPHxH8ukMwCM9q40HF1ScoOV8RlkqwoFoGvXWNHnaiOH5ZVsbXiiYiN0j3MtwImtscIKNBDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:33:17.713278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.06828","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be17aa88ae9919345a1e77e912635e92d9aa5fd0c8417bba948b4a0c20a8490b","sha256:3ca5fa669f7ab76df028ad1f89b9d4c1dcbf7ce7cec6cb52cd7fead76384200c"],"state_sha256":"7558c5fd64af573c685345a2342500238cdacaccfea8b4e9907e3f683383f596"}