{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:V76ATU5R2EE5LNS75SGDPVC3SO","short_pith_number":"pith:V76ATU5R","schema_version":"1.0","canonical_sha256":"affc09d3b1d109d5b65fec8c37d45b93a0eba612f83df26b8ff2fa616c90bc2a","source":{"kind":"arxiv","id":"2608.01522","version":1},"attestation_state":"computed","paper":{"title":"Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Jianyou Wang, Longtian Bao, Ramamohan Paturi, Yang Zhang, Youze Zheng","submitted_at":"2026-08-02T22:19:01Z","abstract_excerpt":"Teaching a language model a skill it has not mastered is obstructed by three recurring difficulties: training data is scarce, ground-truth reasoning traces are usually unavailable, and models often exhibit an apparent ceiling beyond which additional data yields no further improvement. We study these difficulties in a controlled setting, fine-tuning Qwen2.5-Math-7B on competition mathematics (AIME), a task on which it initially solves only 5.6\\% of problems (pass@1). To address data scarcity, we introduce Question-begets-Question (QbQ), a scalable procedure in which a teacher transforms existin"},"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":"2608.01522","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-02T22:19:01Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"6bee505a031e672120c6be7d7cfaf6fa3aee18e498c0b6c5f218577321828b2e","abstract_canon_sha256":"b4b29349c9453715ba27d3fd9ec506ce356f72e223a9ec63ebe73cc9a35f9154"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:05:48.159979Z","signature_b64":"KzB37duH+QOrkzqCbY0FF6ZLVoOwfeUGZzS2+oKHmmwMBJXKUuv/UeiW+CRvvdkcMw01cSoGFQCUud8oH4p0DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"affc09d3b1d109d5b65fec8c37d45b93a0eba612f83df26b8ff2fa616c90bc2a","last_reissued_at":"2026-08-04T02:05:48.158248Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:05:48.158248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Jianyou Wang, Longtian Bao, Ramamohan Paturi, Yang Zhang, Youze Zheng","submitted_at":"2026-08-02T22:19:01Z","abstract_excerpt":"Teaching a language model a skill it has not mastered is obstructed by three recurring difficulties: training data is scarce, ground-truth reasoning traces are usually unavailable, and models often exhibit an apparent ceiling beyond which additional data yields no further improvement. We study these difficulties in a controlled setting, fine-tuning Qwen2.5-Math-7B on competition mathematics (AIME), a task on which it initially solves only 5.6\\% of problems (pass@1). To address data scarcity, we introduce Question-begets-Question (QbQ), a scalable procedure in which a teacher transforms existin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01522","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/2608.01522/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":"2608.01522","created_at":"2026-08-04T02:05:48.159766+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.01522v1","created_at":"2026-08-04T02:05:48.159766+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01522","created_at":"2026-08-04T02:05:48.159766+00:00"},{"alias_kind":"pith_short_12","alias_value":"V76ATU5R2EE5","created_at":"2026-08-04T02:05:48.159766+00:00"},{"alias_kind":"pith_short_16","alias_value":"V76ATU5R2EE5LNS7","created_at":"2026-08-04T02:05:48.159766+00:00"},{"alias_kind":"pith_short_8","alias_value":"V76ATU5R","created_at":"2026-08-04T02:05:48.159766+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/V76ATU5R2EE5LNS75SGDPVC3SO","json":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO.json","graph_json":"https://pith.science/api/pith-number/V76ATU5R2EE5LNS75SGDPVC3SO/graph.json","events_json":"https://pith.science/api/pith-number/V76ATU5R2EE5LNS75SGDPVC3SO/events.json","paper":"https://pith.science/paper/V76ATU5R"},"agent_actions":{"view_html":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO","download_json":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO.json","view_paper":"https://pith.science/paper/V76ATU5R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.01522&json=true","fetch_graph":"https://pith.science/api/pith-number/V76ATU5R2EE5LNS75SGDPVC3SO/graph.json","fetch_events":"https://pith.science/api/pith-number/V76ATU5R2EE5LNS75SGDPVC3SO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO/action/storage_attestation","attest_author":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO/action/author_attestation","sign_citation":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO/action/citation_signature","submit_replication":"https://pith.science/pith/V76ATU5R2EE5LNS75SGDPVC3SO/action/replication_record"}},"created_at":"2026-08-04T02:05:48.159766+00:00","updated_at":"2026-08-04T02:05:48.159766+00:00"}