{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:23N32CZP4Z6GIK4Z2R6H2SJO47","short_pith_number":"pith:23N32CZP","schema_version":"1.0","canonical_sha256":"d6dbbd0b2fe67c642b99d47c7d492ee7e7a80c9b7e4d823a7c0958112d1dcd20","source":{"kind":"arxiv","id":"2301.00429","version":1},"attestation_state":"computed","paper":{"title":"Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duc-Vu Nguyen, Hang Thi-Thu Le, Ngan Luu-Thuy Nguyen, Viet-Duc Ho","submitted_at":"2023-01-01T15:28:27Z","abstract_excerpt":"Machine Reading Comprehension has become one of the most advanced and popular research topics in the fields of Natural Language Processing in recent years. The classification of answerability questions is a relatively significant sub-task in machine reading comprehension; however, there haven't been many studies. Retro-Reader is one of the studies that has solved this problem effectively. However, the encoders of most traditional machine reading comprehension models in general and Retro-Reader, in particular, have not been able to exploit the contextual semantic information of the context comp"},"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":"2301.00429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-01-01T15:28:27Z","cross_cats_sorted":[],"title_canon_sha256":"cb0b97c592f4bda375ae3deb2ab6a395202140ebb8ccb25ade20acc2f8ffa4f8","abstract_canon_sha256":"a021eb6a88833773c15e7ba662d5513a415dbbb539fc1df0857180fc22232a80"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:29:46.137600Z","signature_b64":"JXtaBlR3YPzyePLTMvok0AKvEG1y/RycB2aNzSwsNlntZ0b+gYSv9AE9dNO6lEcX3KWgCFGve/yYDfWW7EziCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6dbbd0b2fe67c642b99d47c7d492ee7e7a80c9b7e4d823a7c0958112d1dcd20","last_reissued_at":"2026-07-05T05:29:46.137029Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:29:46.137029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duc-Vu Nguyen, Hang Thi-Thu Le, Ngan Luu-Thuy Nguyen, Viet-Duc Ho","submitted_at":"2023-01-01T15:28:27Z","abstract_excerpt":"Machine Reading Comprehension has become one of the most advanced and popular research topics in the fields of Natural Language Processing in recent years. The classification of answerability questions is a relatively significant sub-task in machine reading comprehension; however, there haven't been many studies. Retro-Reader is one of the studies that has solved this problem effectively. However, the encoders of most traditional machine reading comprehension models in general and Retro-Reader, in particular, have not been able to exploit the contextual semantic information of the context comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.00429","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/2301.00429/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":"2301.00429","created_at":"2026-07-05T05:29:46.137093+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.00429v1","created_at":"2026-07-05T05:29:46.137093+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.00429","created_at":"2026-07-05T05:29:46.137093+00:00"},{"alias_kind":"pith_short_12","alias_value":"23N32CZP4Z6G","created_at":"2026-07-05T05:29:46.137093+00:00"},{"alias_kind":"pith_short_16","alias_value":"23N32CZP4Z6GIK4Z","created_at":"2026-07-05T05:29:46.137093+00:00"},{"alias_kind":"pith_short_8","alias_value":"23N32CZP","created_at":"2026-07-05T05:29:46.137093+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/23N32CZP4Z6GIK4Z2R6H2SJO47","json":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47.json","graph_json":"https://pith.science/api/pith-number/23N32CZP4Z6GIK4Z2R6H2SJO47/graph.json","events_json":"https://pith.science/api/pith-number/23N32CZP4Z6GIK4Z2R6H2SJO47/events.json","paper":"https://pith.science/paper/23N32CZP"},"agent_actions":{"view_html":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47","download_json":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47.json","view_paper":"https://pith.science/paper/23N32CZP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.00429&json=true","fetch_graph":"https://pith.science/api/pith-number/23N32CZP4Z6GIK4Z2R6H2SJO47/graph.json","fetch_events":"https://pith.science/api/pith-number/23N32CZP4Z6GIK4Z2R6H2SJO47/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47/action/timestamp_anchor","attest_storage":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47/action/storage_attestation","attest_author":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47/action/author_attestation","sign_citation":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47/action/citation_signature","submit_replication":"https://pith.science/pith/23N32CZP4Z6GIK4Z2R6H2SJO47/action/replication_record"}},"created_at":"2026-07-05T05:29:46.137093+00:00","updated_at":"2026-07-05T05:29:46.137093+00:00"}