{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PHNTRLXJX7AKJB7I3E5H6XAYNC","short_pith_number":"pith:PHNTRLXJ","canonical_record":{"source":{"id":"2208.03030","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-05T07:55:28Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"da8774f5fac6b5edd677d09cf40c48007856ddd9bda6eeb40375578ceea2311a","abstract_canon_sha256":"807a236492b10e719206e34150c1361dfc928a4b7f36832e8c344681e8045aa4"},"schema_version":"1.0"},"canonical_sha256":"79db38aee9bfc0a487e8d93a7f5c18688a62ba76c18c22fe88fdf074eb3367f2","source":{"kind":"arxiv","id":"2208.03030","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.03030","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"2208.03030v1","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.03030","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"PHNTRLXJX7AK","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"pith_short_16","alias_value":"PHNTRLXJX7AKJB7I","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"pith_short_8","alias_value":"PHNTRLXJ","created_at":"2026-07-05T04:46:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PHNTRLXJX7AKJB7I3E5H6XAYNC","target":"record","payload":{"canonical_record":{"source":{"id":"2208.03030","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-05T07:55:28Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"da8774f5fac6b5edd677d09cf40c48007856ddd9bda6eeb40375578ceea2311a","abstract_canon_sha256":"807a236492b10e719206e34150c1361dfc928a4b7f36832e8c344681e8045aa4"},"schema_version":"1.0"},"canonical_sha256":"79db38aee9bfc0a487e8d93a7f5c18688a62ba76c18c22fe88fdf074eb3367f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:46:18.692523Z","signature_b64":"9TUGHeJI3ad0uSuc/qQYb9GeYGPuqWO5tfdozStQ7/dfbgGiudKZOi+0s9st0wyClcxS+juzviHBS7SZlpmlAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79db38aee9bfc0a487e8d93a7f5c18688a62ba76c18c22fe88fdf074eb3367f2","last_reissued_at":"2026-07-05T04:46:18.692083Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:46:18.692083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.03030","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":"2026-07-05T04:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zJm2YpcblvtMT8zj2j0HiXOlD/bzaiLNeSVI38tLKJAzd+Cw6p1NCjOQuMQx3PjrbhDZHTjukOjia24PCvitCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T09:44:07.749032Z"},"content_sha256":"19fd8e9395ded8848468b1fdf5e08e0b1e77a79bff1f85deb79f86733224bbfe","schema_version":"1.0","event_id":"sha256:19fd8e9395ded8848468b1fdf5e08e0b1e77a79bff1f85deb79f86733224bbfe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PHNTRLXJX7AKJB7I3E5H6XAYNC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CL","authors_text":"Bingning Wang, Feiyang Lv, Haijin Liang, Jin Ma, Ting Yao, Yiming Yuan, Yu Luo","submitted_at":"2022-08-05T07:55:28Z","abstract_excerpt":"Visual question answering is an important task in both natural language and vision understanding. However, in most of the public visual question answering datasets such as VQA, CLEVR, the questions are human generated that specific to the given image, such as `What color are her eyes?'. The human generated crowdsourcing questions are relatively simple and sometimes have the bias toward certain entities or attributes. In this paper, we introduce a new question answering dataset based on image-ChiQA. It contains the real-world queries issued by internet users, combined with several related open-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.03030","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/2208.03030/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":"2026-07-05T04:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r/von3neJ/cCg/1Pyp/G4TOGPJKiCspzQuejB6G49kLtOILOqf2nSRQVa2Av+ibALaGFFC5E25Fo0T1JqFxTDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T09:44:07.751306Z"},"content_sha256":"afe918a11aac25df76519765f70e30850adb1c628bb4f237a979de26bcbc0265","schema_version":"1.0","event_id":"sha256:afe918a11aac25df76519765f70e30850adb1c628bb4f237a979de26bcbc0265"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC/bundle.json","state_url":"https://pith.science/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC/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":"2026-08-19T09:44:07Z","links":{"resolver":"https://pith.science/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC","bundle":"https://pith.science/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC/bundle.json","state":"https://pith.science/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PHNTRLXJX7AKJB7I3E5H6XAYNC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PHNTRLXJX7AKJB7I3E5H6XAYNC","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":"807a236492b10e719206e34150c1361dfc928a4b7f36832e8c344681e8045aa4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-05T07:55:28Z","title_canon_sha256":"da8774f5fac6b5edd677d09cf40c48007856ddd9bda6eeb40375578ceea2311a"},"schema_version":"1.0","source":{"id":"2208.03030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.03030","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"2208.03030v1","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.03030","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"PHNTRLXJX7AK","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"pith_short_16","alias_value":"PHNTRLXJX7AKJB7I","created_at":"2026-07-05T04:46:18Z"},{"alias_kind":"pith_short_8","alias_value":"PHNTRLXJ","created_at":"2026-07-05T04:46:18Z"}],"graph_snapshots":[{"event_id":"sha256:afe918a11aac25df76519765f70e30850adb1c628bb4f237a979de26bcbc0265","target":"graph","created_at":"2026-07-05T04:46:18Z","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/2208.03030/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual question answering is an important task in both natural language and vision understanding. However, in most of the public visual question answering datasets such as VQA, CLEVR, the questions are human generated that specific to the given image, such as `What color are her eyes?'. The human generated crowdsourcing questions are relatively simple and sometimes have the bias toward certain entities or attributes. In this paper, we introduce a new question answering dataset based on image-ChiQA. It contains the real-world queries issued by internet users, combined with several related open-","authors_text":"Bingning Wang, Feiyang Lv, Haijin Liang, Jin Ma, Ting Yao, Yiming Yuan, Yu Luo","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-05T07:55:28Z","title":"ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.03030","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":"sha256:19fd8e9395ded8848468b1fdf5e08e0b1e77a79bff1f85deb79f86733224bbfe","target":"record","created_at":"2026-07-05T04:46:18Z","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":"807a236492b10e719206e34150c1361dfc928a4b7f36832e8c344681e8045aa4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-05T07:55:28Z","title_canon_sha256":"da8774f5fac6b5edd677d09cf40c48007856ddd9bda6eeb40375578ceea2311a"},"schema_version":"1.0","source":{"id":"2208.03030","kind":"arxiv","version":1}},"canonical_sha256":"79db38aee9bfc0a487e8d93a7f5c18688a62ba76c18c22fe88fdf074eb3367f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79db38aee9bfc0a487e8d93a7f5c18688a62ba76c18c22fe88fdf074eb3367f2","first_computed_at":"2026-07-05T04:46:18.692083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:46:18.692083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9TUGHeJI3ad0uSuc/qQYb9GeYGPuqWO5tfdozStQ7/dfbgGiudKZOi+0s9st0wyClcxS+juzviHBS7SZlpmlAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:46:18.692523Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.03030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19fd8e9395ded8848468b1fdf5e08e0b1e77a79bff1f85deb79f86733224bbfe","sha256:afe918a11aac25df76519765f70e30850adb1c628bb4f237a979de26bcbc0265"],"state_sha256":"cd59804c959c0365ac36243a8e960cbdd5367783700d33166ff2f3590bd68ecf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XBnUzwogrFB/xrFD+3+SHNhweLRe8PlJNmxmRbGXr1EG4EJHXaSz79jnfTOUGAqKalrHT23WsWx3aBpY/bhnDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T09:44:07.758257Z","bundle_sha256":"5918dde79a8322b06169cbe5cdb49bc7c84d78f40afc95e8aad7fd5f8c65d8cc"}}