{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W67KDT6SY63R7NV4YQUEXWX5IT","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":"d9b8187de45d53959eec4c615c066a2fc6a0d7bba3026ad5cffa2c2f90797dee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T12:42:50Z","title_canon_sha256":"684e7504b55c702fb9e2c9ea4bbe87bcab41de2506a23b5f7ab8629cdf0fe48e"},"schema_version":"1.0","source":{"id":"2505.17829","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17829","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17829v1","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17829","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_12","alias_value":"W67KDT6SY63R","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_16","alias_value":"W67KDT6SY63R7NV4","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_8","alias_value":"W67KDT6S","created_at":"2026-07-05T11:08:32Z"}],"graph_snapshots":[{"event_id":"sha256:176b025981e7bbf987f39d7c10e433657f3f9598e278fd1d2a246e5a729860c7","target":"graph","created_at":"2026-07-05T11:08:32Z","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/2505.17829/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mathematical reasoning through Chain-of-Thought (CoT) has emerged as a powerful capability of Large Language Models (LLMs), which can be further enhanced through Test-Time Scaling (TTS) methods like Beam Search and DVTS. However, these methods, despite improving accuracy by allocating more computational resources during inference, often suffer from path homogenization and inefficient use of intermediate results. To address these limitations, we propose Stepwise Reasoning Checkpoint Analysis (SRCA), a framework that introduces checkpoints between reasoning steps. It incorporates two key strateg","authors_text":"Kam-Fai Wong, Liangyou Li, Lifeng Shang, Qun Liu, Weiwen Liu, Xingshan Zeng, Xin Jiang, Yasheng Wang, Yufei Wang, Zezhong Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T12:42:50Z","title":"Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17829","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":"sha256:605e1048108092292a87ac1916efd6119e14e3009e0dae0adb8d4837991a2ce7","target":"record","created_at":"2026-07-05T11:08:32Z","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":"d9b8187de45d53959eec4c615c066a2fc6a0d7bba3026ad5cffa2c2f90797dee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-23T12:42:50Z","title_canon_sha256":"684e7504b55c702fb9e2c9ea4bbe87bcab41de2506a23b5f7ab8629cdf0fe48e"},"schema_version":"1.0","source":{"id":"2505.17829","kind":"arxiv","version":1}},"canonical_sha256":"b7bea1cfd2c7b71fb6bcc4284bdafd44cd8be108a1f16ea281844098d9f4433a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7bea1cfd2c7b71fb6bcc4284bdafd44cd8be108a1f16ea281844098d9f4433a","first_computed_at":"2026-07-05T11:08:32.487664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:32.487664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S9QQG7oWu9xuLACbTiDR7yEFmLXINUbhbqtX1VkzKBXpk2r65o0m3JSKqRg6o4CxqoLxi901UyXWeWPhu05zBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:32.488160Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17829","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:605e1048108092292a87ac1916efd6119e14e3009e0dae0adb8d4837991a2ce7","sha256:176b025981e7bbf987f39d7c10e433657f3f9598e278fd1d2a246e5a729860c7"],"state_sha256":"c262ce32f1f9cb6c359f016726f2e218dc949c8d92ed6c20c4153d19896cd52c"}