{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FR34VPP2EZD3HBWHEQBWDUSPIO","short_pith_number":"pith:FR34VPP2","canonical_record":{"source":{"id":"2205.03860","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-08T13:19:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"95774977c5e6df6ecd830c70a6fb4658713a5bfd267725e4873adac7ef16b0d1","abstract_canon_sha256":"4384fccf121bf37fe62826488c81c6ca324e91d606158966ef14a0a38e7bfc24"},"schema_version":"1.0"},"canonical_sha256":"2c77cabdfa2647b386c7240361d24f438713013e0eba5207ac6cdaff2981aa99","source":{"kind":"arxiv","id":"2205.03860","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.03860","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"arxiv_version","alias_value":"2205.03860v6","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.03860","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"pith_short_12","alias_value":"FR34VPP2EZD3","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"pith_short_16","alias_value":"FR34VPP2EZD3HBWH","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"pith_short_8","alias_value":"FR34VPP2","created_at":"2026-07-05T07:10:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FR34VPP2EZD3HBWHEQBWDUSPIO","target":"record","payload":{"canonical_record":{"source":{"id":"2205.03860","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-08T13:19:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"95774977c5e6df6ecd830c70a6fb4658713a5bfd267725e4873adac7ef16b0d1","abstract_canon_sha256":"4384fccf121bf37fe62826488c81c6ca324e91d606158966ef14a0a38e7bfc24"},"schema_version":"1.0"},"canonical_sha256":"2c77cabdfa2647b386c7240361d24f438713013e0eba5207ac6cdaff2981aa99","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:20.231368Z","signature_b64":"nLMTs8X1LR3sSPo61nRLgbgcFYwYBwwbRsD6T0g8zR4exPQ4tmSj9MnDIaTUDu3ufm2XdISA9iTTEbaexGU4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c77cabdfa2647b386c7240361d24f438713013e0eba5207ac6cdaff2981aa99","last_reissued_at":"2026-07-05T07:10:20.230877Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:20.230877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.03860","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:10:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PnlAO103LV/b9Yt0QnaJpcw0mfITvB1riDz80ICeyvyZnvQqV/8ARVOXEeBjVLMCYJWo+RSlg1TEYk0X0M2GAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:07:52.792896Z"},"content_sha256":"a13fdac2badccaa9fcd0022297a017a2870c22d1e3a6115c94c36b2bbec0c6b0","schema_version":"1.0","event_id":"sha256:a13fdac2badccaa9fcd0022297a017a2870c22d1e3a6115c94c36b2bbec0c6b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FR34VPP2EZD3HBWHEQBWDUSPIO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CCMB: A Large-scale Chinese Cross-modal Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Baochang Zhang, Chunyu Xie, Dawei Leng, Dexin Wang, Fanjing Kong, Heng Cai, Henrique Morimitsu, Jianfei Song, Jincheng Li, Lin Yao, Xiangyang Ji, Xiangzheng Zhang, Xiaoyu Wu, Yafeng Deng","submitted_at":"2022-05-08T13:19:23Z","abstract_excerpt":"Vision-language pre-training (VLP) on large-scale datasets has shown premier performance on various downstream tasks. In contrast to plenty of available benchmarks with English corpus, large-scale pre-training datasets and downstream datasets with Chinese corpus remain largely unexplored. In this work, we build a large-scale high-quality Chinese Cross-Modal Benchmark named CCMB for the research community, which contains the currently largest public pre-training dataset Zero and five human-annotated fine-tuning datasets for downstream tasks. Zero contains 250 million images paired with 750 mill"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.03860","kind":"arxiv","version":6},"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/2205.03860/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":"2026-07-05T07:10:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R5Kd1NGIW9BvkJDNRlaARI8VUsCvs6iptKTujZIUwAZ4TwClBNZYc0f6JKSY9znw6HUHTvK2LPrUGDehyAB2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:07:52.793280Z"},"content_sha256":"907b72ce9f46bafa0fc87015a32b09614ccb4923ddc8c262bd2f061eea4d8414","schema_version":"1.0","event_id":"sha256:907b72ce9f46bafa0fc87015a32b09614ccb4923ddc8c262bd2f061eea4d8414"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FR34VPP2EZD3HBWHEQBWDUSPIO/bundle.json","state_url":"https://pith.science/pith/FR34VPP2EZD3HBWHEQBWDUSPIO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FR34VPP2EZD3HBWHEQBWDUSPIO/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":"2026-08-06T02:07:52Z","links":{"resolver":"https://pith.science/pith/FR34VPP2EZD3HBWHEQBWDUSPIO","bundle":"https://pith.science/pith/FR34VPP2EZD3HBWHEQBWDUSPIO/bundle.json","state":"https://pith.science/pith/FR34VPP2EZD3HBWHEQBWDUSPIO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FR34VPP2EZD3HBWHEQBWDUSPIO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FR34VPP2EZD3HBWHEQBWDUSPIO","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":"4384fccf121bf37fe62826488c81c6ca324e91d606158966ef14a0a38e7bfc24","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-08T13:19:23Z","title_canon_sha256":"95774977c5e6df6ecd830c70a6fb4658713a5bfd267725e4873adac7ef16b0d1"},"schema_version":"1.0","source":{"id":"2205.03860","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.03860","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"arxiv_version","alias_value":"2205.03860v6","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.03860","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"pith_short_12","alias_value":"FR34VPP2EZD3","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"pith_short_16","alias_value":"FR34VPP2EZD3HBWH","created_at":"2026-07-05T07:10:20Z"},{"alias_kind":"pith_short_8","alias_value":"FR34VPP2","created_at":"2026-07-05T07:10:20Z"}],"graph_snapshots":[{"event_id":"sha256:907b72ce9f46bafa0fc87015a32b09614ccb4923ddc8c262bd2f061eea4d8414","target":"graph","created_at":"2026-07-05T07:10:20Z","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/2205.03860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language pre-training (VLP) on large-scale datasets has shown premier performance on various downstream tasks. In contrast to plenty of available benchmarks with English corpus, large-scale pre-training datasets and downstream datasets with Chinese corpus remain largely unexplored. In this work, we build a large-scale high-quality Chinese Cross-Modal Benchmark named CCMB for the research community, which contains the currently largest public pre-training dataset Zero and five human-annotated fine-tuning datasets for downstream tasks. Zero contains 250 million images paired with 750 mill","authors_text":"Baochang Zhang, Chunyu Xie, Dawei Leng, Dexin Wang, Fanjing Kong, Heng Cai, Henrique Morimitsu, Jianfei Song, Jincheng Li, Lin Yao, Xiangyang Ji, Xiangzheng Zhang, Xiaoyu Wu, Yafeng Deng","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-08T13:19:23Z","title":"CCMB: A Large-scale Chinese Cross-modal Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.03860","kind":"arxiv","version":6},"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:a13fdac2badccaa9fcd0022297a017a2870c22d1e3a6115c94c36b2bbec0c6b0","target":"record","created_at":"2026-07-05T07:10:20Z","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":"4384fccf121bf37fe62826488c81c6ca324e91d606158966ef14a0a38e7bfc24","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-08T13:19:23Z","title_canon_sha256":"95774977c5e6df6ecd830c70a6fb4658713a5bfd267725e4873adac7ef16b0d1"},"schema_version":"1.0","source":{"id":"2205.03860","kind":"arxiv","version":6}},"canonical_sha256":"2c77cabdfa2647b386c7240361d24f438713013e0eba5207ac6cdaff2981aa99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c77cabdfa2647b386c7240361d24f438713013e0eba5207ac6cdaff2981aa99","first_computed_at":"2026-07-05T07:10:20.230877Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:20.230877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nLMTs8X1LR3sSPo61nRLgbgcFYwYBwwbRsD6T0g8zR4exPQ4tmSj9MnDIaTUDu3ufm2XdISA9iTTEbaexGU4Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:20.231368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.03860","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a13fdac2badccaa9fcd0022297a017a2870c22d1e3a6115c94c36b2bbec0c6b0","sha256:907b72ce9f46bafa0fc87015a32b09614ccb4923ddc8c262bd2f061eea4d8414"],"state_sha256":"d0616085483b419d8e1a725494b3c1a3ec551d84e8a514513deb7492405bf192"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CWF4hbSCoOOaazRssUhQFecaaUEWaBoh9Umtm2wRXCbwPbgQwcY3o/mxZ7IiA+TkSF3coYGWAxp+8WTXcKE+CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:07:52.795613Z","bundle_sha256":"3c50f8c6d52cb98808f93257325621f8b542c6f8892b7a2fc3686f559556e805"}}