{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZPLMAQB32ALWURHMNTN5FWY3J6","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":"40dfda7d3ce541525da937fcffcb0d9cfa1f5fdf65b0d0cfccd1f384584d55fe","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-13T08:49:22Z","title_canon_sha256":"65ac227cf1effa0877acfb226b4d1a9e70281775f5fb35fe49f71b4aa44b4b1b"},"schema_version":"1.0","source":{"id":"2410.09780","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.09780","created_at":"2026-07-05T09:19:44Z"},{"alias_kind":"arxiv_version","alias_value":"2410.09780v1","created_at":"2026-07-05T09:19:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.09780","created_at":"2026-07-05T09:19:44Z"},{"alias_kind":"pith_short_12","alias_value":"ZPLMAQB32ALW","created_at":"2026-07-05T09:19:44Z"},{"alias_kind":"pith_short_16","alias_value":"ZPLMAQB32ALWURHM","created_at":"2026-07-05T09:19:44Z"},{"alias_kind":"pith_short_8","alias_value":"ZPLMAQB3","created_at":"2026-07-05T09:19:44Z"}],"graph_snapshots":[{"event_id":"sha256:3c20c1a4c06928f8c60a0f2a9d42a5b8b5b61eb04cb2dd9b4e9d0fb3d7b7f058","target":"graph","created_at":"2026-07-05T09:19:44Z","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/2410.09780/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have exhibited remarkable capabilities in many complex tasks including mathematical reasoning. However, traditional approaches heavily rely on ensuring self-consistency within single prompting method, which limits the exploration of diverse problem-solving strategies. This study addresses these limitations by performing an experimental analysis of distinct prompting methods within the domain of mathematical reasoning. Our findings demonstrate that each method explores a distinct search space, and this differentiation becomes more evident with increasing problem com","authors_text":"Andrew Chung, Byungju Kim, Gisang Lee, Junyoung Park, Min-Gyu Cho, Sangwoo Park, Sieun Park, Yoonah Park","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-13T08:49:22Z","title":"Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.09780","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":"sha256:575ac71dc461cfc321a3bee4865de28d2f8bcb720606c2b66380390880bb3f09","target":"record","created_at":"2026-07-05T09:19:44Z","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":"40dfda7d3ce541525da937fcffcb0d9cfa1f5fdf65b0d0cfccd1f384584d55fe","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-13T08:49:22Z","title_canon_sha256":"65ac227cf1effa0877acfb226b4d1a9e70281775f5fb35fe49f71b4aa44b4b1b"},"schema_version":"1.0","source":{"id":"2410.09780","kind":"arxiv","version":1}},"canonical_sha256":"cbd6c0403bd0176a44ec6cdbd2db1b4f9812e92ce441d4253bfcd0c38639ec84","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbd6c0403bd0176a44ec6cdbd2db1b4f9812e92ce441d4253bfcd0c38639ec84","first_computed_at":"2026-07-05T09:19:44.023976Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:44.023976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"54beEiQBcTy3SDsfDyos8tIjfP3fmBwuWUq3YQlIkev1dW6/fwdDMlTXP3yCbxI1SoGPChRiTNQmzap3rONqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:44.024446Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.09780","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:575ac71dc461cfc321a3bee4865de28d2f8bcb720606c2b66380390880bb3f09","sha256:3c20c1a4c06928f8c60a0f2a9d42a5b8b5b61eb04cb2dd9b4e9d0fb3d7b7f058"],"state_sha256":"0377dcd08b9f513a20c761ec957734a679e71906446f5007d7895a5e1062b186"}