{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:LGAVLYK5YPRYANCLBEPSRDXKYN","short_pith_number":"pith:LGAVLYK5","schema_version":"1.0","canonical_sha256":"598155e15dc3e380344b091f288eeac34861416fa0188a7e0127d1e99fd640bd","source":{"kind":"arxiv","id":"1906.10910","version":2},"attestation_state":"computed","paper":{"title":"Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Alexander R. Fabbri, Chanyou Hwang, Dragomir Radev, HyunBin Loh, Junghyun Cho, Sang-Wook Kim, Yongku Lee, Youngduck Choi, Youngnam Lee","submitted_at":"2019-06-26T08:37:44Z","abstract_excerpt":"Machine learning plays an increasing role in intelligent tutoring systems as both the amount of data available and specialization among students grow. Nowadays, these systems are frequently deployed on mobile applications. Users on such mobile education platforms are dynamic, frequently being added, accessing the application with varying levels of focus, and changing while using the service. The education material itself, on the other hand, is often static and is an exhaustible resource whose use in tasks such as problem recommendation must be optimized. The ability to update user models with "},"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":"1906.10910","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-26T08:37:44Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"075305d18c44545f6a49ec8d4a113efb1db44cf92135d70e2f1e3d86d6ede99e","abstract_canon_sha256":"3902b2e25195d8f6e4cee58a8f2b4e26f8c7e429a70802bdfd13d9fbb078c1c0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:52.734755Z","signature_b64":"xQJ5xMYUqrYxulR4tcnWGTd/sS3uSr/2J4/bWwS4N6bztUBRSc0r/W7YT4m97eoKgYVVJCJl+EkAXS3rpwmqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"598155e15dc3e380344b091f288eeac34861416fa0188a7e0127d1e99fd640bd","last_reissued_at":"2026-05-17T23:41:52.734165Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:52.734165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Alexander R. Fabbri, Chanyou Hwang, Dragomir Radev, HyunBin Loh, Junghyun Cho, Sang-Wook Kim, Yongku Lee, Youngduck Choi, Youngnam Lee","submitted_at":"2019-06-26T08:37:44Z","abstract_excerpt":"Machine learning plays an increasing role in intelligent tutoring systems as both the amount of data available and specialization among students grow. Nowadays, these systems are frequently deployed on mobile applications. Users on such mobile education platforms are dynamic, frequently being added, accessing the application with varying levels of focus, and changing while using the service. The education material itself, on the other hand, is often static and is an exhaustible resource whose use in tasks such as problem recommendation must be optimized. The ability to update user models with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.10910","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":"1906.10910","created_at":"2026-05-17T23:41:52.734247+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.10910v2","created_at":"2026-05-17T23:41:52.734247+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.10910","created_at":"2026-05-17T23:41:52.734247+00:00"},{"alias_kind":"pith_short_12","alias_value":"LGAVLYK5YPRY","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"LGAVLYK5YPRYANCL","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"LGAVLYK5","created_at":"2026-05-18T12:33:21.387695+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/LGAVLYK5YPRYANCLBEPSRDXKYN","json":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN.json","graph_json":"https://pith.science/api/pith-number/LGAVLYK5YPRYANCLBEPSRDXKYN/graph.json","events_json":"https://pith.science/api/pith-number/LGAVLYK5YPRYANCLBEPSRDXKYN/events.json","paper":"https://pith.science/paper/LGAVLYK5"},"agent_actions":{"view_html":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN","download_json":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN.json","view_paper":"https://pith.science/paper/LGAVLYK5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.10910&json=true","fetch_graph":"https://pith.science/api/pith-number/LGAVLYK5YPRYANCLBEPSRDXKYN/graph.json","fetch_events":"https://pith.science/api/pith-number/LGAVLYK5YPRYANCLBEPSRDXKYN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN/action/storage_attestation","attest_author":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN/action/author_attestation","sign_citation":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN/action/citation_signature","submit_replication":"https://pith.science/pith/LGAVLYK5YPRYANCLBEPSRDXKYN/action/replication_record"}},"created_at":"2026-05-17T23:41:52.734247+00:00","updated_at":"2026-05-17T23:41:52.734247+00:00"}