{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:F5U5YY5B5FPYOOAYSSZMUZGNZ6","short_pith_number":"pith:F5U5YY5B","schema_version":"1.0","canonical_sha256":"2f69dc63a1e95f87381894b2ca64cdcf8fbad86931f0616dc1317a384eb3db6e","source":{"kind":"arxiv","id":"2305.04166","version":2},"attestation_state":"computed","paper":{"title":"UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Doanh C. Bui, Khang Nguyen, Nghia Hieu Nguyen","submitted_at":"2023-05-07T02:48:47Z","abstract_excerpt":"Image Captioning is one of the vision-language tasks that still interest the research community worldwide in the 2020s. MS-COCO Caption benchmark is commonly used to evaluate the performance of advanced captioning models, although it was published in 2015. Recent captioning models trained on the MS-COCO Caption dataset only have good performance in language patterns of English; they do not have such good performance in contexts captured in Vietnam or fluently caption images using Vietnamese. To contribute to the low-resources research community as in Vietnam, we introduce a novel image caption"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2305.04166","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-07T02:48:47Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"7828abbbcd978c9c4003407eeb0763a646144e1b09c6a62310ee61e3cc123566","abstract_canon_sha256":"f0300c498974edde35fdecf81eea70a82ef0180b3895888c53cf5a87e487c1af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:08:28.450297Z","signature_b64":"6jr1w2D74a2Cm9NLvPxJE5WeWs7K/wqjnQfY3Z9h/CoAiTpiKAdyrXS6TNTz8vrKsZRaT8YLKZL+8ckH1/OhBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f69dc63a1e95f87381894b2ca64cdcf8fbad86931f0616dc1317a384eb3db6e","last_reissued_at":"2026-07-05T06:08:28.449826Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:08:28.449826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Doanh C. Bui, Khang Nguyen, Nghia Hieu Nguyen","submitted_at":"2023-05-07T02:48:47Z","abstract_excerpt":"Image Captioning is one of the vision-language tasks that still interest the research community worldwide in the 2020s. MS-COCO Caption benchmark is commonly used to evaluate the performance of advanced captioning models, although it was published in 2015. Recent captioning models trained on the MS-COCO Caption dataset only have good performance in language patterns of English; they do not have such good performance in contexts captured in Vietnam or fluently caption images using Vietnamese. To contribute to the low-resources research community as in Vietnam, we introduce a novel image caption"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.04166","kind":"arxiv","version":2},"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/2305.04166/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2305.04166","created_at":"2026-07-05T06:08:28.449886+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.04166v2","created_at":"2026-07-05T06:08:28.449886+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.04166","created_at":"2026-07-05T06:08:28.449886+00:00"},{"alias_kind":"pith_short_12","alias_value":"F5U5YY5B5FPY","created_at":"2026-07-05T06:08:28.449886+00:00"},{"alias_kind":"pith_short_16","alias_value":"F5U5YY5B5FPYOOAY","created_at":"2026-07-05T06:08:28.449886+00:00"},{"alias_kind":"pith_short_8","alias_value":"F5U5YY5B","created_at":"2026-07-05T06:08:28.449886+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6","json":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6.json","graph_json":"https://pith.science/api/pith-number/F5U5YY5B5FPYOOAYSSZMUZGNZ6/graph.json","events_json":"https://pith.science/api/pith-number/F5U5YY5B5FPYOOAYSSZMUZGNZ6/events.json","paper":"https://pith.science/paper/F5U5YY5B"},"agent_actions":{"view_html":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6","download_json":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6.json","view_paper":"https://pith.science/paper/F5U5YY5B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.04166&json=true","fetch_graph":"https://pith.science/api/pith-number/F5U5YY5B5FPYOOAYSSZMUZGNZ6/graph.json","fetch_events":"https://pith.science/api/pith-number/F5U5YY5B5FPYOOAYSSZMUZGNZ6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6/action/storage_attestation","attest_author":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6/action/author_attestation","sign_citation":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6/action/citation_signature","submit_replication":"https://pith.science/pith/F5U5YY5B5FPYOOAYSSZMUZGNZ6/action/replication_record"}},"created_at":"2026-07-05T06:08:28.449886+00:00","updated_at":"2026-07-05T06:08:28.449886+00:00"}