{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:NHLVGPJ2IDFOLXPLYO5XUPJRHF","short_pith_number":"pith:NHLVGPJ2","schema_version":"1.0","canonical_sha256":"69d7533d3a40cae5ddebc3bb7a3d31397f65115bd63475517b921077fe8ee5dd","source":{"kind":"arxiv","id":"2506.06812","version":1},"attestation_state":"computed","paper":{"title":"Advancing Question Generation with Joint Narrative and Difficulty Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bernardo Leite, Henrique Lopes Cardoso","submitted_at":"2025-06-07T14:26:11Z","abstract_excerpt":"Question Generation (QG), the task of automatically generating questions from a source input, has seen significant progress in recent years. Difficulty-controllable QG (DCQG) enables control over the difficulty level of generated questions while considering the learner's ability. Additionally, narrative-controllable QG (NCQG) allows control over the narrative aspects embedded in the questions. However, research in QG lacks a focus on combining these two types of control, which is important for generating questions tailored to educational purposes. To address this gap, we propose a strategy for"},"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":"2506.06812","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T14:26:11Z","cross_cats_sorted":[],"title_canon_sha256":"5ac87d9c8ed0ddf2854196e5fb7139ca65ccf92cf2c49acbfd493b31a2a63c36","abstract_canon_sha256":"71fb3b58ef09f4922f49e76ef4c6087a914f49b3131638eff47ff4a06d2fd8cb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:56.081097Z","signature_b64":"xypVonuKdqt/GpkTyQqHdwb4YJ+x+9Jv7uWxpUJKUKOP44ZyCTjNOJMC5dQ3qyTj95fGblp3rd3pyHZJeVVTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69d7533d3a40cae5ddebc3bb7a3d31397f65115bd63475517b921077fe8ee5dd","last_reissued_at":"2026-07-05T11:17:56.080593Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:56.080593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Advancing Question Generation with Joint Narrative and Difficulty Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bernardo Leite, Henrique Lopes Cardoso","submitted_at":"2025-06-07T14:26:11Z","abstract_excerpt":"Question Generation (QG), the task of automatically generating questions from a source input, has seen significant progress in recent years. Difficulty-controllable QG (DCQG) enables control over the difficulty level of generated questions while considering the learner's ability. Additionally, narrative-controllable QG (NCQG) allows control over the narrative aspects embedded in the questions. However, research in QG lacks a focus on combining these two types of control, which is important for generating questions tailored to educational purposes. To address this gap, we propose a strategy for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06812","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/2506.06812/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":"2506.06812","created_at":"2026-07-05T11:17:56.080648+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.06812v1","created_at":"2026-07-05T11:17:56.080648+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06812","created_at":"2026-07-05T11:17:56.080648+00:00"},{"alias_kind":"pith_short_12","alias_value":"NHLVGPJ2IDFO","created_at":"2026-07-05T11:17:56.080648+00:00"},{"alias_kind":"pith_short_16","alias_value":"NHLVGPJ2IDFOLXPL","created_at":"2026-07-05T11:17:56.080648+00:00"},{"alias_kind":"pith_short_8","alias_value":"NHLVGPJ2","created_at":"2026-07-05T11:17:56.080648+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/NHLVGPJ2IDFOLXPLYO5XUPJRHF","json":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF.json","graph_json":"https://pith.science/api/pith-number/NHLVGPJ2IDFOLXPLYO5XUPJRHF/graph.json","events_json":"https://pith.science/api/pith-number/NHLVGPJ2IDFOLXPLYO5XUPJRHF/events.json","paper":"https://pith.science/paper/NHLVGPJ2"},"agent_actions":{"view_html":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF","download_json":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF.json","view_paper":"https://pith.science/paper/NHLVGPJ2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.06812&json=true","fetch_graph":"https://pith.science/api/pith-number/NHLVGPJ2IDFOLXPLYO5XUPJRHF/graph.json","fetch_events":"https://pith.science/api/pith-number/NHLVGPJ2IDFOLXPLYO5XUPJRHF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF/action/storage_attestation","attest_author":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF/action/author_attestation","sign_citation":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF/action/citation_signature","submit_replication":"https://pith.science/pith/NHLVGPJ2IDFOLXPLYO5XUPJRHF/action/replication_record"}},"created_at":"2026-07-05T11:17:56.080648+00:00","updated_at":"2026-07-05T11:17:56.080648+00:00"}