{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:3YEW64M2VVH36SXSZDPYWA44CQ","short_pith_number":"pith:3YEW64M2","schema_version":"1.0","canonical_sha256":"de096f719aad4fbf4af2c8df8b039c143865b559a5475a686fc1d79ce4a06af8","source":{"kind":"arxiv","id":"1810.13441","version":2},"attestation_state":"computed","paper":{"title":"Improving Machine Reading Comprehension with General Reading Strategies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Claire Cardie, Dian Yu, Dong Yu, Kai Sun","submitted_at":"2018-10-31T17:54:37Z","abstract_excerpt":"Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge. Just as the process of knowledge accumulation is time-consuming for human readers, it is resource-demanding to impart rich general domain knowledge into a deep language model via pre-training. Inspired by reading strategies identified in cognitive science, and given limited computational resources -- just a pre-trained model and a fixed number of training instances -- we propose three general strategies aimed to improve non-extractive machine reading comprehension (MRC):"},"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":"1810.13441","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-31T17:54:37Z","cross_cats_sorted":[],"title_canon_sha256":"a1000fbfc0eb06c6ca196bbcde8100a7b00db7327354902b41a0f05b6e0e3b07","abstract_canon_sha256":"612ae840c117391ef0825ef1f5078fafdd8e0cd734e1a9c64eed211a03ad09f8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:36.380752Z","signature_b64":"5KkYc4UTFbj3D6XEcYzN/VSij8hx0/1QML1cToeX9D9LdOLCyA960GcDR9WmniF7BGu6UTwQxiiHULxj65DOAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de096f719aad4fbf4af2c8df8b039c143865b559a5475a686fc1d79ce4a06af8","last_reissued_at":"2026-05-17T23:50:36.380140Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:36.380140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving Machine Reading Comprehension with General Reading Strategies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Claire Cardie, Dian Yu, Dong Yu, Kai Sun","submitted_at":"2018-10-31T17:54:37Z","abstract_excerpt":"Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge. Just as the process of knowledge accumulation is time-consuming for human readers, it is resource-demanding to impart rich general domain knowledge into a deep language model via pre-training. Inspired by reading strategies identified in cognitive science, and given limited computational resources -- just a pre-trained model and a fixed number of training instances -- we propose three general strategies aimed to improve non-extractive machine reading comprehension (MRC):"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13441","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":""},"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":"1810.13441","created_at":"2026-05-17T23:50:36.380218+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.13441v2","created_at":"2026-05-17T23:50:36.380218+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13441","created_at":"2026-05-17T23:50:36.380218+00:00"},{"alias_kind":"pith_short_12","alias_value":"3YEW64M2VVH3","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"3YEW64M2VVH36SXS","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"3YEW64M2","created_at":"2026-05-18T12:32:05.422762+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/3YEW64M2VVH36SXSZDPYWA44CQ","json":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ.json","graph_json":"https://pith.science/api/pith-number/3YEW64M2VVH36SXSZDPYWA44CQ/graph.json","events_json":"https://pith.science/api/pith-number/3YEW64M2VVH36SXSZDPYWA44CQ/events.json","paper":"https://pith.science/paper/3YEW64M2"},"agent_actions":{"view_html":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ","download_json":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ.json","view_paper":"https://pith.science/paper/3YEW64M2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.13441&json=true","fetch_graph":"https://pith.science/api/pith-number/3YEW64M2VVH36SXSZDPYWA44CQ/graph.json","fetch_events":"https://pith.science/api/pith-number/3YEW64M2VVH36SXSZDPYWA44CQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ/action/storage_attestation","attest_author":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ/action/author_attestation","sign_citation":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ/action/citation_signature","submit_replication":"https://pith.science/pith/3YEW64M2VVH36SXSZDPYWA44CQ/action/replication_record"}},"created_at":"2026-05-17T23:50:36.380218+00:00","updated_at":"2026-05-17T23:50:36.380218+00:00"}