{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YNIFR5B6QYVSO4WJT4NRGBFASZ","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":"8c99a594495871e5c1fe1b5f177676fa345c4ccd2b53a08a8b76b6001ef1e2b5","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-28T15:22:11Z","title_canon_sha256":"3de717611718127d5fa4ffd6c73dea4ba5e27d9e0aeee356780cf77b0857f0da"},"schema_version":"1.0","source":{"id":"2209.14169","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14169","created_at":"2026-07-05T05:26:09Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14169v2","created_at":"2026-07-05T05:26:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14169","created_at":"2026-07-05T05:26:09Z"},{"alias_kind":"pith_short_12","alias_value":"YNIFR5B6QYVS","created_at":"2026-07-05T05:26:09Z"},{"alias_kind":"pith_short_16","alias_value":"YNIFR5B6QYVSO4WJ","created_at":"2026-07-05T05:26:09Z"},{"alias_kind":"pith_short_8","alias_value":"YNIFR5B6","created_at":"2026-07-05T05:26:09Z"}],"graph_snapshots":[{"event_id":"sha256:c6fcc0a2804e3c7e7d2e44766c07bfce1296a0a0ccdc09aa95564923c492ecb3","target":"graph","created_at":"2026-07-05T05:26:09Z","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/2209.14169/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive Language-Image Pre-training (CLIP) has been shown to learn visual representations with great transferability, which achieves promising accuracy for zero-shot classification. To further improve its downstream performance, existing works propose additional learnable modules upon CLIP and fine-tune them by few-shot training sets. However, the resulting extra training cost and data requirement severely hinder the efficiency for model deployment and knowledge transfer. In this paper, we introduce a free-lunch enhancement method, CALIP, to boost CLIP's zero-shot performance via a paramet","authors_text":"Bin Cui, Longtian Qiu, Renrui Zhang, Xianzheng Ma, Xuming He, Xupeng Miao, Ziyu Guo","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-28T15:22:11Z","title":"CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14169","kind":"arxiv","version":2},"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":"sha256:99bcc87e9aab4bf169421405c96b402d9eeb1115b8285282d0ccfd6e9b0af654","target":"record","created_at":"2026-07-05T05:26:09Z","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":"8c99a594495871e5c1fe1b5f177676fa345c4ccd2b53a08a8b76b6001ef1e2b5","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-28T15:22:11Z","title_canon_sha256":"3de717611718127d5fa4ffd6c73dea4ba5e27d9e0aeee356780cf77b0857f0da"},"schema_version":"1.0","source":{"id":"2209.14169","kind":"arxiv","version":2}},"canonical_sha256":"c35058f43e862b2772c99f1b1304a0965e4011e1f88a3c447b38f771a8c5bba5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c35058f43e862b2772c99f1b1304a0965e4011e1f88a3c447b38f771a8c5bba5","first_computed_at":"2026-07-05T05:26:09.462030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:26:09.462030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DJ/Tm6jdUhWf/mGg95NYl4XNrbdrJaLeQhZjLzsu1+nR7tDjqNdpmtiUB+AVSBIXRsDTuzo5rTk+8UFcIYOPCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:26:09.462527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.14169","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99bcc87e9aab4bf169421405c96b402d9eeb1115b8285282d0ccfd6e9b0af654","sha256:c6fcc0a2804e3c7e7d2e44766c07bfce1296a0a0ccdc09aa95564923c492ecb3"],"state_sha256":"2d7600c431268d7f09aff92193c84b7f070ea6d0682da86739406d7d7b1e724e"}