{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KBCZ3K5PF3HKXYE7FNL7LBBMYZ","short_pith_number":"pith:KBCZ3K5P","canonical_record":{"source":{"id":"2509.03895","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:42:02Z","cross_cats_sorted":[],"title_canon_sha256":"e1c1d3a93c9444c258d28c331cef67cf7bfe1d3886ae182c1754770affd1a742","abstract_canon_sha256":"75538b0dbea35760fe121a2e3f22fcba574ec7105c79bc4681a64d008a22ebb1"},"schema_version":"1.0"},"canonical_sha256":"50459dabaf2eceabe09f2b57f5842cc648705a20cf13fd3e745e2091e6cd8c0c","source":{"kind":"arxiv","id":"2509.03895","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03895","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03895v1","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03895","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"KBCZ3K5PF3HK","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"KBCZ3K5PF3HKXYE7","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"KBCZ3K5P","created_at":"2026-07-05T12:04:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KBCZ3K5PF3HKXYE7FNL7LBBMYZ","target":"record","payload":{"canonical_record":{"source":{"id":"2509.03895","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:42:02Z","cross_cats_sorted":[],"title_canon_sha256":"e1c1d3a93c9444c258d28c331cef67cf7bfe1d3886ae182c1754770affd1a742","abstract_canon_sha256":"75538b0dbea35760fe121a2e3f22fcba574ec7105c79bc4681a64d008a22ebb1"},"schema_version":"1.0"},"canonical_sha256":"50459dabaf2eceabe09f2b57f5842cc648705a20cf13fd3e745e2091e6cd8c0c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:49.331683Z","signature_b64":"iEujYettmqOtrM0MA44bnNK8/dgqeUAk4UlcABoYkb+x5AZoiTWq6Kmqgq/qH0ClRcHoIG2GckIRw5b2wxy1CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50459dabaf2eceabe09f2b57f5842cc648705a20cf13fd3e745e2091e6cd8c0c","last_reissued_at":"2026-07-05T12:04:49.331118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:49.331118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.03895","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:04:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nL+fper6UKGwH0aoaaLUJ9bvdqikUMXKHOHLl+lLjAzKJp1aRgK8r6kqFmQKdqw9hpMozLyEt0klU6y84VU+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:32:11.707991Z"},"content_sha256":"bf849a20051c9113dcf5fc4506e42c91a7e1e7a088db94a3c0fd97c77b81671b","schema_version":"1.0","event_id":"sha256:bf849a20051c9113dcf5fc4506e42c91a7e1e7a088db94a3c0fd97c77b81671b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KBCZ3K5PF3HKXYE7FNL7LBBMYZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hyunseung Choo, Khanh-Binh Nguyen, Phuoc-Nguyen Bui","submitted_at":"2025-09-04T05:42:02Z","abstract_excerpt":"Contrastive vision-language models excel in zero-shot image recognition but face challenges in few-shot scenarios due to computationally intensive offline fine-tuning using prompt learning, which risks overfitting. To overcome these limitations, we propose Attn-Adapter, a novel online few-shot learning framework that enhances CLIP's adaptability via a dual attention mechanism. Our design incorporates dataset-specific information through two components: the Memory Attn-Adapter, which refines category embeddings using support examples, and the Local-Global Attn-Adapter, which enriches image embe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03895","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/2509.03895/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":"2026-07-05T12:04:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8nDFgBys5bXDLESmQJTrF/cc95fIscVwDOFttSN0Frn6ZQwYJ0vEonk+cjDn0gdmyCmiZ2DFy26s77q46tfCBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:32:11.708895Z"},"content_sha256":"cf87bb3b462b402e090120aba2df77aad4ebf175acd42bf025b36cd14504dbbc","schema_version":"1.0","event_id":"sha256:cf87bb3b462b402e090120aba2df77aad4ebf175acd42bf025b36cd14504dbbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ/bundle.json","state_url":"https://pith.science/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ/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":"2026-08-07T18:32:11Z","links":{"resolver":"https://pith.science/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ","bundle":"https://pith.science/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ/bundle.json","state":"https://pith.science/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBCZ3K5PF3HKXYE7FNL7LBBMYZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KBCZ3K5PF3HKXYE7FNL7LBBMYZ","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":"75538b0dbea35760fe121a2e3f22fcba574ec7105c79bc4681a64d008a22ebb1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:42:02Z","title_canon_sha256":"e1c1d3a93c9444c258d28c331cef67cf7bfe1d3886ae182c1754770affd1a742"},"schema_version":"1.0","source":{"id":"2509.03895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03895","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03895v1","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03895","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"KBCZ3K5PF3HK","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"KBCZ3K5PF3HKXYE7","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"KBCZ3K5P","created_at":"2026-07-05T12:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:cf87bb3b462b402e090120aba2df77aad4ebf175acd42bf025b36cd14504dbbc","target":"graph","created_at":"2026-07-05T12:04:49Z","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/2509.03895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive vision-language models excel in zero-shot image recognition but face challenges in few-shot scenarios due to computationally intensive offline fine-tuning using prompt learning, which risks overfitting. To overcome these limitations, we propose Attn-Adapter, a novel online few-shot learning framework that enhances CLIP's adaptability via a dual attention mechanism. Our design incorporates dataset-specific information through two components: the Memory Attn-Adapter, which refines category embeddings using support examples, and the Local-Global Attn-Adapter, which enriches image embe","authors_text":"Hyunseung Choo, Khanh-Binh Nguyen, Phuoc-Nguyen Bui","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:42:02Z","title":"Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03895","kind":"arxiv","version":1},"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:bf849a20051c9113dcf5fc4506e42c91a7e1e7a088db94a3c0fd97c77b81671b","target":"record","created_at":"2026-07-05T12:04:49Z","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":"75538b0dbea35760fe121a2e3f22fcba574ec7105c79bc4681a64d008a22ebb1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:42:02Z","title_canon_sha256":"e1c1d3a93c9444c258d28c331cef67cf7bfe1d3886ae182c1754770affd1a742"},"schema_version":"1.0","source":{"id":"2509.03895","kind":"arxiv","version":1}},"canonical_sha256":"50459dabaf2eceabe09f2b57f5842cc648705a20cf13fd3e745e2091e6cd8c0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50459dabaf2eceabe09f2b57f5842cc648705a20cf13fd3e745e2091e6cd8c0c","first_computed_at":"2026-07-05T12:04:49.331118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:49.331118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iEujYettmqOtrM0MA44bnNK8/dgqeUAk4UlcABoYkb+x5AZoiTWq6Kmqgq/qH0ClRcHoIG2GckIRw5b2wxy1CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:49.331683Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf849a20051c9113dcf5fc4506e42c91a7e1e7a088db94a3c0fd97c77b81671b","sha256:cf87bb3b462b402e090120aba2df77aad4ebf175acd42bf025b36cd14504dbbc"],"state_sha256":"940441f339d07b7d3beaa06f437141edd186961521d853af719d4e36b8b4c82c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BCf2M4riJ9OmMNfzA5jcdFQU04+dc/76OhiExl3B7npYj2LIqz+aJWfApHgHfRjO0HkrTQW8Ei/HTJmVeiY8BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:32:11.725220Z","bundle_sha256":"18e1c9647c091ec3eaf9372f6085ca3c03949c67367e6f0f36a108189275c84e"}}