{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HJVE2A7IFTGQ3AI5XCKNGJE2V2","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":"5286545f06eda2c0884398ca88e0ebf98b8104074f9a45c05011167ee58aaa1e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-11T12:17:32Z","title_canon_sha256":"9b822f38128a3688bdacc6c46316b7fc00686c4273cc2dd626ca640a8c652007"},"schema_version":"1.0","source":{"id":"2110.05208","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.05208","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"arxiv_version","alias_value":"2110.05208v2","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.05208","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"pith_short_12","alias_value":"HJVE2A7IFTGQ","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"pith_short_16","alias_value":"HJVE2A7IFTGQ3AI5","created_at":"2026-07-05T04:04:42Z"},{"alias_kind":"pith_short_8","alias_value":"HJVE2A7I","created_at":"2026-07-05T04:04:42Z"}],"graph_snapshots":[{"event_id":"sha256:bfbe0408de88fe4a5c0d33c7869998fc2eeb8e11da5f94a6ff2f3126d7f35a22","target":"graph","created_at":"2026-07-05T04:04:42Z","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/2110.05208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, large-scale Contrastive Language-Image Pre-training (CLIP) has attracted unprecedented attention for its impressive zero-shot recognition ability and excellent transferability to downstream tasks. However, CLIP is quite data-hungry and requires 400M image-text pairs for pre-training, thereby restricting its adoption. This work proposes a novel training paradigm, Data efficient CLIP (DeCLIP), to alleviate this limitation. We demonstrate that by carefully utilizing the widespread supervision among the image-text pairs, our De-CLIP can learn generic visual features more efficiently. Ins","authors_text":"Feng Liang, Fengwei Yu, Jing Shao, Junjie Yan, Lichen Zhao, Wanli Ouyang, Yangguang Li, Yufeng Cui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-11T12:17:32Z","title":"Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.05208","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":"sha256:5665de6ae29cdf2d068df67ef5dda6bbf6e3df3227e007ba38257d20f9dd09aa","target":"record","created_at":"2026-07-05T04:04:42Z","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":"5286545f06eda2c0884398ca88e0ebf98b8104074f9a45c05011167ee58aaa1e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-11T12:17:32Z","title_canon_sha256":"9b822f38128a3688bdacc6c46316b7fc00686c4273cc2dd626ca640a8c652007"},"schema_version":"1.0","source":{"id":"2110.05208","kind":"arxiv","version":2}},"canonical_sha256":"3a6a4d03e82ccd0d811db894d3249aae9914f4e9fb0053c6073f9e40bba9d1b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a6a4d03e82ccd0d811db894d3249aae9914f4e9fb0053c6073f9e40bba9d1b6","first_computed_at":"2026-07-05T04:04:42.238216Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:04:42.238216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5WSm7oe1qaToRXIRsJrzVhAEfo3k+NuprgqEWU816vWxQbvE1LqSq807/AzN8IXHDaMqj6lLnyP5AikfjBWpDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:04:42.238660Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.05208","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5665de6ae29cdf2d068df67ef5dda6bbf6e3df3227e007ba38257d20f9dd09aa","sha256:bfbe0408de88fe4a5c0d33c7869998fc2eeb8e11da5f94a6ff2f3126d7f35a22"],"state_sha256":"ab30bef560f4dae34e17e332f32ce90e3dc09a3396b2f57db1b2d05903080f5f"}