{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QMPT46VU27R4NEPM7YL3E2WTYU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a7c6b27c8bb141384b46f89926deb6e1f63a8a79c485acfd4e4bc40164cbd120","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-19T04:36:35Z","title_canon_sha256":"a963daae4db49c41ddb1b6a90022f67243f14973e8a83306a44505762d139f0d"},"schema_version":"1.0","source":{"id":"2503.14891","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.14891","created_at":"2026-07-05T10:34:26Z"},{"alias_kind":"arxiv_version","alias_value":"2503.14891v1","created_at":"2026-07-05T10:34:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.14891","created_at":"2026-07-05T10:34:26Z"},{"alias_kind":"pith_short_12","alias_value":"QMPT46VU27R4","created_at":"2026-07-05T10:34:26Z"},{"alias_kind":"pith_short_16","alias_value":"QMPT46VU27R4NEPM","created_at":"2026-07-05T10:34:26Z"},{"alias_kind":"pith_short_8","alias_value":"QMPT46VU","created_at":"2026-07-05T10:34:26Z"}],"graph_snapshots":[{"event_id":"sha256:fe137f89a990b01de7b3f5cad796858d682ef02f7738fcdad1bb82adb4094fbb","target":"graph","created_at":"2026-07-05T10:34:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2503.14891/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated promising capabilities in solving mathematical reasoning tasks, leveraging Chain-of-Thought (CoT) data as a vital component in guiding answer generation. Current paradigms typically generate CoT and answers directly for a given problem, diverging from human problem-solving strategies to some extent. Humans often solve problems by recalling analogous cases and leveraging their solutions to reason about the current task. Inspired by this cognitive process, we propose \\textbf{MetaLadder}, a novel framework that explicitly prompts LLMs to recall and r","authors_text":"Conghui He, Honglin Lin, Lijun Wu, Mengzhang Cai, Qizhi Pei, Xin Gao, Yu Li, Zhuoshi Pan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-19T04:36:35Z","title":"MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.14891","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:bb48e494424669dc31f2ae6eda51282b475391c96db29cf96f625e79b9c2a619","target":"record","created_at":"2026-07-05T10:34:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a7c6b27c8bb141384b46f89926deb6e1f63a8a79c485acfd4e4bc40164cbd120","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-19T04:36:35Z","title_canon_sha256":"a963daae4db49c41ddb1b6a90022f67243f14973e8a83306a44505762d139f0d"},"schema_version":"1.0","source":{"id":"2503.14891","kind":"arxiv","version":1}},"canonical_sha256":"831f3e7ab4d7e3c691ecfe17b26ad3c51652efe0cd17c048d6c72d087608a6a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"831f3e7ab4d7e3c691ecfe17b26ad3c51652efe0cd17c048d6c72d087608a6a2","first_computed_at":"2026-07-05T10:34:26.631164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:34:26.631164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kn9hKWrJewp1kLzZhpinZDSChwJr48mOEi3/1bBckCyVg+/0e5kad8b4W1CGo6MsRjNKDdaRRWufSo/CtJ0uAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:34:26.631795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.14891","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb48e494424669dc31f2ae6eda51282b475391c96db29cf96f625e79b9c2a619","sha256:fe137f89a990b01de7b3f5cad796858d682ef02f7738fcdad1bb82adb4094fbb"],"state_sha256":"c3bf514e3693e2dcf626bf0e369be4f79fa60fdd96150458e57d2cfe3e6bd4f5"}