{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:PIWZFZCRHEZYQLJ2NXT6UGPUDY","short_pith_number":"pith:PIWZFZCR","schema_version":"1.0","canonical_sha256":"7a2d92e4513933882d3a6de7ea19f41e1de0597342f5cf1925cabb8ab75de690","source":{"kind":"arxiv","id":"2103.04567","version":2},"attestation_state":"computed","paper":{"title":"MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jing Yu, Luxi Xing, Wei Peng, Yajing Sun, Yue Hu, Yuqiang Xie, Zihao Zhu","submitted_at":"2021-03-08T06:38:14Z","abstract_excerpt":"Question answering systems usually use keyword searches to retrieve potential passages related to a question, and then extract the answer from passages with the machine reading comprehension methods. However, many questions tend to be unanswerable in the real world. In this case, it is significant and challenging how the model determines when no answer is supported by the passage and abstains from answering. Most of the existing systems design a simple classifier to determine answerability implicitly without explicitly modeling mutual interaction and relation between the question and passage, "},"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":"2103.04567","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-08T06:38:14Z","cross_cats_sorted":[],"title_canon_sha256":"f1a20bd8d44d4ee185ec510a4f94d9c48e8b0e9d4fd1948460f01dd0dccd5633","abstract_canon_sha256":"38601e799bd2944e13267dee8ca77e49b5abb5af6b91e1462e534a7d78b3e8af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:42:29.774799Z","signature_b64":"ARrewkrzC00qvsDLRXfd1YabWRAv7pMk/cDoo85LsRETya88jpfjwoSuZngoePOa2WnwPsj3BdTvaKCD4LPCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a2d92e4513933882d3a6de7ea19f41e1de0597342f5cf1925cabb8ab75de690","last_reissued_at":"2026-07-05T02:42:29.774363Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:42:29.774363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jing Yu, Luxi Xing, Wei Peng, Yajing Sun, Yue Hu, Yuqiang Xie, Zihao Zhu","submitted_at":"2021-03-08T06:38:14Z","abstract_excerpt":"Question answering systems usually use keyword searches to retrieve potential passages related to a question, and then extract the answer from passages with the machine reading comprehension methods. However, many questions tend to be unanswerable in the real world. In this case, it is significant and challenging how the model determines when no answer is supported by the passage and abstains from answering. Most of the existing systems design a simple classifier to determine answerability implicitly without explicitly modeling mutual interaction and relation between the question and passage, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.04567","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/2103.04567/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":"2103.04567","created_at":"2026-07-05T02:42:29.774421+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.04567v2","created_at":"2026-07-05T02:42:29.774421+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.04567","created_at":"2026-07-05T02:42:29.774421+00:00"},{"alias_kind":"pith_short_12","alias_value":"PIWZFZCRHEZY","created_at":"2026-07-05T02:42:29.774421+00:00"},{"alias_kind":"pith_short_16","alias_value":"PIWZFZCRHEZYQLJ2","created_at":"2026-07-05T02:42:29.774421+00:00"},{"alias_kind":"pith_short_8","alias_value":"PIWZFZCR","created_at":"2026-07-05T02:42:29.774421+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/PIWZFZCRHEZYQLJ2NXT6UGPUDY","json":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY.json","graph_json":"https://pith.science/api/pith-number/PIWZFZCRHEZYQLJ2NXT6UGPUDY/graph.json","events_json":"https://pith.science/api/pith-number/PIWZFZCRHEZYQLJ2NXT6UGPUDY/events.json","paper":"https://pith.science/paper/PIWZFZCR"},"agent_actions":{"view_html":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY","download_json":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY.json","view_paper":"https://pith.science/paper/PIWZFZCR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.04567&json=true","fetch_graph":"https://pith.science/api/pith-number/PIWZFZCRHEZYQLJ2NXT6UGPUDY/graph.json","fetch_events":"https://pith.science/api/pith-number/PIWZFZCRHEZYQLJ2NXT6UGPUDY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY/action/storage_attestation","attest_author":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY/action/author_attestation","sign_citation":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY/action/citation_signature","submit_replication":"https://pith.science/pith/PIWZFZCRHEZYQLJ2NXT6UGPUDY/action/replication_record"}},"created_at":"2026-07-05T02:42:29.774421+00:00","updated_at":"2026-07-05T02:42:29.774421+00:00"}