{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2ROLDLKGU3FXADYQXYCS6QOT7Z","short_pith_number":"pith:2ROLDLKG","schema_version":"1.0","canonical_sha256":"d45cb1ad46a6cb700f10be052f41d3fe777dfba4581f88ef5045afdc47f59446","source":{"kind":"arxiv","id":"2504.16408","version":2},"attestation_state":"computed","paper":{"title":"LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dehui Du, Jiahao Yuan, Jingwen Wang, Xing Yu, Xingzhe Sun, Zhiqing Cui, Zixiang Di","submitted_at":"2025-04-23T04:19:52Z","abstract_excerpt":"The LLMSR@XLLM25 formulates a low-resource structural reasoning task that challenges LLMs to generate interpretable, step-by-step rationales with minimal labeled data. We present Less is More, the third-place winning approach in the LLMSR@XLLM25, which focuses on structured reasoning from only 24 labeled examples. Our approach leverages a multi-agent framework with reverse-prompt induction, retrieval-augmented reasoning synthesis via GPT-4o, and dual-stage reward-guided filtering to distill high-quality supervision across three subtasks: question parsing, CoT parsing, and step-level verificati"},"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":"2504.16408","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-23T04:19:52Z","cross_cats_sorted":[],"title_canon_sha256":"b2c249addc6c2eb0bea2de53639f207a36719ff7927726945a6fe6472e09ca0c","abstract_canon_sha256":"44ded63b7a6253f45b94c8419849aa0922bc816b07b62faad45ecf85c27b2d16"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:23.639724Z","signature_b64":"L0qBbu49uS75t9vq1ak8s9ry76X5xd/Vusvz3w826ZeLM1JIqvKCiPNumUyiCyIlQIUjNq6rtCdVHkEHK4EfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d45cb1ad46a6cb700f10be052f41d3fe777dfba4581f88ef5045afdc47f59446","last_reissued_at":"2026-07-05T11:02:23.639216Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:23.639216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dehui Du, Jiahao Yuan, Jingwen Wang, Xing Yu, Xingzhe Sun, Zhiqing Cui, Zixiang Di","submitted_at":"2025-04-23T04:19:52Z","abstract_excerpt":"The LLMSR@XLLM25 formulates a low-resource structural reasoning task that challenges LLMs to generate interpretable, step-by-step rationales with minimal labeled data. We present Less is More, the third-place winning approach in the LLMSR@XLLM25, which focuses on structured reasoning from only 24 labeled examples. Our approach leverages a multi-agent framework with reverse-prompt induction, retrieval-augmented reasoning synthesis via GPT-4o, and dual-stage reward-guided filtering to distill high-quality supervision across three subtasks: question parsing, CoT parsing, and step-level verificati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16408","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2504.16408/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":"2504.16408","created_at":"2026-07-05T11:02:23.639273+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.16408v2","created_at":"2026-07-05T11:02:23.639273+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16408","created_at":"2026-07-05T11:02:23.639273+00:00"},{"alias_kind":"pith_short_12","alias_value":"2ROLDLKGU3FX","created_at":"2026-07-05T11:02:23.639273+00:00"},{"alias_kind":"pith_short_16","alias_value":"2ROLDLKGU3FXADYQ","created_at":"2026-07-05T11:02:23.639273+00:00"},{"alias_kind":"pith_short_8","alias_value":"2ROLDLKG","created_at":"2026-07-05T11:02:23.639273+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/2ROLDLKGU3FXADYQXYCS6QOT7Z","json":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z.json","graph_json":"https://pith.science/api/pith-number/2ROLDLKGU3FXADYQXYCS6QOT7Z/graph.json","events_json":"https://pith.science/api/pith-number/2ROLDLKGU3FXADYQXYCS6QOT7Z/events.json","paper":"https://pith.science/paper/2ROLDLKG"},"agent_actions":{"view_html":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z","download_json":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z.json","view_paper":"https://pith.science/paper/2ROLDLKG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.16408&json=true","fetch_graph":"https://pith.science/api/pith-number/2ROLDLKGU3FXADYQXYCS6QOT7Z/graph.json","fetch_events":"https://pith.science/api/pith-number/2ROLDLKGU3FXADYQXYCS6QOT7Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z/action/storage_attestation","attest_author":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z/action/author_attestation","sign_citation":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z/action/citation_signature","submit_replication":"https://pith.science/pith/2ROLDLKGU3FXADYQXYCS6QOT7Z/action/replication_record"}},"created_at":"2026-07-05T11:02:23.639273+00:00","updated_at":"2026-07-05T11:02:23.639273+00:00"}