{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:O6AE7ZEZK5Y2JBSJ5F4YXJIWCD","short_pith_number":"pith:O6AE7ZEZ","canonical_record":{"source":{"id":"2404.18397","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:17:47Z","cross_cats_sorted":[],"title_canon_sha256":"88e71b3949bb98c47b87c6f023d8006cc4f6084bb2fcc0db13a2fbfd4c6de362","abstract_canon_sha256":"6e173b34ec95fdfe2b9fc8e06a10be684ca15d2a2d7d5ee5cb1bcd41b03ec1dd"},"schema_version":"1.0"},"canonical_sha256":"77804fe4995771a48649e9798ba51610e85e5bdf4baa3a137919b8591d5e74b2","source":{"kind":"arxiv","id":"2404.18397","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18397","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18397v1","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18397","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"pith_short_12","alias_value":"O6AE7ZEZK5Y2","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"pith_short_16","alias_value":"O6AE7ZEZK5Y2JBSJ","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"pith_short_8","alias_value":"O6AE7ZEZ","created_at":"2026-07-05T08:13:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:O6AE7ZEZK5Y2JBSJ5F4YXJIWCD","target":"record","payload":{"canonical_record":{"source":{"id":"2404.18397","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:17:47Z","cross_cats_sorted":[],"title_canon_sha256":"88e71b3949bb98c47b87c6f023d8006cc4f6084bb2fcc0db13a2fbfd4c6de362","abstract_canon_sha256":"6e173b34ec95fdfe2b9fc8e06a10be684ca15d2a2d7d5ee5cb1bcd41b03ec1dd"},"schema_version":"1.0"},"canonical_sha256":"77804fe4995771a48649e9798ba51610e85e5bdf4baa3a137919b8591d5e74b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:15.698774Z","signature_b64":"01XwCsAEuJQUD7QuIp0/+WMk9WXvxcRunbUvI3KeyA1EjIHM3y6ER+h9wWCrZQY5L/rtGcNdwdPbDWqFTp/4Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77804fe4995771a48649e9798ba51610e85e5bdf4baa3a137919b8591d5e74b2","last_reissued_at":"2026-07-05T08:13:15.698357Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:15.698357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.18397","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":"2026-07-05T08:13:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o827EX/Apf2XxGJBeOWI+6b+8GmVnV+MO/zWKLl83pRT96s1NvYF4j3afytUyebSeUhOGnQfF/IvLxerb/aABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T09:07:54.055738Z"},"content_sha256":"06bdb5ad13533ba83ab4eae1b96db2b6ed2f3a1107380e87923c796eeb0f75fe","schema_version":"1.0","event_id":"sha256:06bdb5ad13533ba83ab4eae1b96db2b6ed2f3a1107380e87923c796eeb0f75fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:O6AE7ZEZK5Y2JBSJ5F4YXJIWCD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dan Quang Tran, Huy Quang Pham, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Nghia Hieu Nguyen, Quan Van Nguyen, Thang Kien-Bao Nguyen","submitted_at":"2024-04-29T03:17:47Z","abstract_excerpt":"Optical Character Recognition - Visual Question Answering (OCR-VQA) is the task of answering text information contained in images that have just been significantly developed in the English language in recent years. However, there are limited studies of this task in low-resource languages such as Vietnamese. To this end, we introduce a novel dataset, ViOCRVQA (Vietnamese Optical Character Recognition - Visual Question Answering dataset), consisting of 28,000+ images and 120,000+ question-answer pairs. In this dataset, all the images contain text and questions about the information relevant to t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18397","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/2404.18397/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":"2026-07-05T08:13:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"92Yu3/Jw14DCcGQXHdVujjgHoYQuIudaIIvFvuaNQqnoNHN9u7ZFIWOCKGnI+OyiccvLZmKNWx5p9Ywtc2/nBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T09:07:54.056518Z"},"content_sha256":"3388c800e37eac333639c2e12b68b189986c4b33b443326edcd47de991a9b55a","schema_version":"1.0","event_id":"sha256:3388c800e37eac333639c2e12b68b189986c4b33b443326edcd47de991a9b55a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD/bundle.json","state_url":"https://pith.science/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD/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":"2026-08-10T09:07:54Z","links":{"resolver":"https://pith.science/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD","bundle":"https://pith.science/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD/bundle.json","state":"https://pith.science/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O6AE7ZEZK5Y2JBSJ5F4YXJIWCD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:O6AE7ZEZK5Y2JBSJ5F4YXJIWCD","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":"6e173b34ec95fdfe2b9fc8e06a10be684ca15d2a2d7d5ee5cb1bcd41b03ec1dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:17:47Z","title_canon_sha256":"88e71b3949bb98c47b87c6f023d8006cc4f6084bb2fcc0db13a2fbfd4c6de362"},"schema_version":"1.0","source":{"id":"2404.18397","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18397","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18397v1","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18397","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"pith_short_12","alias_value":"O6AE7ZEZK5Y2","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"pith_short_16","alias_value":"O6AE7ZEZK5Y2JBSJ","created_at":"2026-07-05T08:13:15Z"},{"alias_kind":"pith_short_8","alias_value":"O6AE7ZEZ","created_at":"2026-07-05T08:13:15Z"}],"graph_snapshots":[{"event_id":"sha256:3388c800e37eac333639c2e12b68b189986c4b33b443326edcd47de991a9b55a","target":"graph","created_at":"2026-07-05T08:13:15Z","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/2404.18397/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optical Character Recognition - Visual Question Answering (OCR-VQA) is the task of answering text information contained in images that have just been significantly developed in the English language in recent years. However, there are limited studies of this task in low-resource languages such as Vietnamese. To this end, we introduce a novel dataset, ViOCRVQA (Vietnamese Optical Character Recognition - Visual Question Answering dataset), consisting of 28,000+ images and 120,000+ question-answer pairs. In this dataset, all the images contain text and questions about the information relevant to t","authors_text":"Dan Quang Tran, Huy Quang Pham, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Nghia Hieu Nguyen, Quan Van Nguyen, Thang Kien-Bao Nguyen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:17:47Z","title":"ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18397","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":"sha256:06bdb5ad13533ba83ab4eae1b96db2b6ed2f3a1107380e87923c796eeb0f75fe","target":"record","created_at":"2026-07-05T08:13:15Z","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":"6e173b34ec95fdfe2b9fc8e06a10be684ca15d2a2d7d5ee5cb1bcd41b03ec1dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:17:47Z","title_canon_sha256":"88e71b3949bb98c47b87c6f023d8006cc4f6084bb2fcc0db13a2fbfd4c6de362"},"schema_version":"1.0","source":{"id":"2404.18397","kind":"arxiv","version":1}},"canonical_sha256":"77804fe4995771a48649e9798ba51610e85e5bdf4baa3a137919b8591d5e74b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77804fe4995771a48649e9798ba51610e85e5bdf4baa3a137919b8591d5e74b2","first_computed_at":"2026-07-05T08:13:15.698357Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:15.698357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"01XwCsAEuJQUD7QuIp0/+WMk9WXvxcRunbUvI3KeyA1EjIHM3y6ER+h9wWCrZQY5L/rtGcNdwdPbDWqFTp/4Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:15.698774Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.18397","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06bdb5ad13533ba83ab4eae1b96db2b6ed2f3a1107380e87923c796eeb0f75fe","sha256:3388c800e37eac333639c2e12b68b189986c4b33b443326edcd47de991a9b55a"],"state_sha256":"38f3b4b9844777cec9d9039156e829600052e53bdafae93115f475e93fed50d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lk3XxOMYiQCKnzmhQ4SZnr7oacHfXcDq2jqxqml257ia9IVJ+iKPzni+eMF4CSBQzrO7rkoH6zQxxQTxAOiLCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T09:07:54.062397Z","bundle_sha256":"d8e35cc2ac6eac393d2b3e6f41d20dfac45b7aa87eeac6479f76fd58775f56f0"}}