{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:B4LE2X3J3EVXSTHAI42M6XNDN3","short_pith_number":"pith:B4LE2X3J","schema_version":"1.0","canonical_sha256":"0f164d5f69d92b794ce04734cf5da36ec019fd6d2b764a57320eed6ffd4eff0e","source":{"kind":"arxiv","id":"1901.03866","version":1},"attestation_state":"computed","paper":{"title":"HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiafeng Guo, Jun Xu, Liang Pang, Lixin Su, Xueqi Cheng, Yanyan Lan","submitted_at":"2019-01-12T14:29:35Z","abstract_excerpt":"This paper is concerned with open-domain question answering (i.e., OpenQA). Recently, some works have viewed this problem as a reading comprehension (RC) task, and directly applied successful RC models to it. However, the performances of such models are not so good as that in the RC task. In our opinion, the perspective of RC ignores three characteristics in OpenQA task: 1) many paragraphs without the answer span are included in the data collection; 2) multiple answer spans may exist within one given paragraph; 3) the end position of an answer span is dependent with the start position. In this"},"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":"1901.03866","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-01-12T14:29:35Z","cross_cats_sorted":[],"title_canon_sha256":"d056ec3987c70d73dde0628af53ab9a77d833c9bb09bd98d703f14834b5c7e35","abstract_canon_sha256":"cc8553ef6cf498c7e4a456ef75b71aea7a3d2476d6724300c66242fec45ba5c4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:26.857407Z","signature_b64":"2V8k7mQJI5LRgSu6JX6VoossTqHJBi2R4r9IJ1er1gBMXaOEi1J++VlM3G8fcTPCpyh9XnstKBJ+FAH6BcffDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f164d5f69d92b794ce04734cf5da36ec019fd6d2b764a57320eed6ffd4eff0e","last_reissued_at":"2026-05-17T23:56:26.856938Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:26.856938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiafeng Guo, Jun Xu, Liang Pang, Lixin Su, Xueqi Cheng, Yanyan Lan","submitted_at":"2019-01-12T14:29:35Z","abstract_excerpt":"This paper is concerned with open-domain question answering (i.e., OpenQA). Recently, some works have viewed this problem as a reading comprehension (RC) task, and directly applied successful RC models to it. However, the performances of such models are not so good as that in the RC task. In our opinion, the perspective of RC ignores three characteristics in OpenQA task: 1) many paragraphs without the answer span are included in the data collection; 2) multiple answer spans may exist within one given paragraph; 3) the end position of an answer span is dependent with the start position. In this"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.03866","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":""},"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":"1901.03866","created_at":"2026-05-17T23:56:26.857015+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.03866v1","created_at":"2026-05-17T23:56:26.857015+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.03866","created_at":"2026-05-17T23:56:26.857015+00:00"},{"alias_kind":"pith_short_12","alias_value":"B4LE2X3J3EVX","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_16","alias_value":"B4LE2X3J3EVXSTHA","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_8","alias_value":"B4LE2X3J","created_at":"2026-05-18T12:33:12.712433+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/B4LE2X3J3EVXSTHAI42M6XNDN3","json":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3.json","graph_json":"https://pith.science/api/pith-number/B4LE2X3J3EVXSTHAI42M6XNDN3/graph.json","events_json":"https://pith.science/api/pith-number/B4LE2X3J3EVXSTHAI42M6XNDN3/events.json","paper":"https://pith.science/paper/B4LE2X3J"},"agent_actions":{"view_html":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3","download_json":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3.json","view_paper":"https://pith.science/paper/B4LE2X3J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.03866&json=true","fetch_graph":"https://pith.science/api/pith-number/B4LE2X3J3EVXSTHAI42M6XNDN3/graph.json","fetch_events":"https://pith.science/api/pith-number/B4LE2X3J3EVXSTHAI42M6XNDN3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3/action/storage_attestation","attest_author":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3/action/author_attestation","sign_citation":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3/action/citation_signature","submit_replication":"https://pith.science/pith/B4LE2X3J3EVXSTHAI42M6XNDN3/action/replication_record"}},"created_at":"2026-05-17T23:56:26.857015+00:00","updated_at":"2026-05-17T23:56:26.857015+00:00"}