{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JZ26PCMPZXNUHJNQIT4T7NTJ3N","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":"c3ec6528676010dde727ec3add5b917ed0f74ec8a20bf0c3b6f0575b91c43a3c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-27T20:59:29Z","title_canon_sha256":"6a4b1faee5d1b54432586e73db5836853824fe2c57400b22bcea1095c7e56225"},"schema_version":"1.0","source":{"id":"2505.21765","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21765","created_at":"2026-07-05T11:11:03Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21765v1","created_at":"2026-07-05T11:11:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21765","created_at":"2026-07-05T11:11:03Z"},{"alias_kind":"pith_short_12","alias_value":"JZ26PCMPZXNU","created_at":"2026-07-05T11:11:03Z"},{"alias_kind":"pith_short_16","alias_value":"JZ26PCMPZXNUHJNQ","created_at":"2026-07-05T11:11:03Z"},{"alias_kind":"pith_short_8","alias_value":"JZ26PCMP","created_at":"2026-07-05T11:11:03Z"}],"graph_snapshots":[{"event_id":"sha256:2a1836f4950bd94515a6f318aa3339779bf8d598223cbf815bdbbb7dbba46a49","target":"graph","created_at":"2026-07-05T11:11:03Z","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/2505.21765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While recent success of large reasoning models (LRMs) significantly advanced LLMs' reasoning capability by optimizing the final answer accuracy using reinforcement learning, they may also drastically increase the output length due to overthinking, characterized by unnecessarily complex reasoning paths that waste computation and potentially degrade the performance. We hypothesize that such inefficiencies stem from LRMs' limited capability to dynamically select the proper modular reasoning strategies, termed thinking patterns at the right position. To investigate this hypothesis, we propose a dy","authors_text":"Cho-Jui Hsieh, Ruochen Wang, Sohyun An, Tianyi Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-27T20:59:29Z","title":"Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21765","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":"sha256:8913e88b9327a6da1bcfce152b8d02c94847dc9cb4d83bd9cdf3869088d3c97a","target":"record","created_at":"2026-07-05T11:11:03Z","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":"c3ec6528676010dde727ec3add5b917ed0f74ec8a20bf0c3b6f0575b91c43a3c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-27T20:59:29Z","title_canon_sha256":"6a4b1faee5d1b54432586e73db5836853824fe2c57400b22bcea1095c7e56225"},"schema_version":"1.0","source":{"id":"2505.21765","kind":"arxiv","version":1}},"canonical_sha256":"4e75e7898fcddb43a5b044f93fb669db41fdffa6a7d7d9e78bbf2f0fc4b5b0f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e75e7898fcddb43a5b044f93fb669db41fdffa6a7d7d9e78bbf2f0fc4b5b0f6","first_computed_at":"2026-07-05T11:11:03.243090Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:03.243090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f/yUt7YvI5tBqZj0xLs38L1Qs/w5sbZqDR4cZXt7fRKKtzfTdR2I9eSwl6Jf2lOu59rp0RHx/r9137EAmfyTBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:03.243597Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21765","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8913e88b9327a6da1bcfce152b8d02c94847dc9cb4d83bd9cdf3869088d3c97a","sha256:2a1836f4950bd94515a6f318aa3339779bf8d598223cbf815bdbbb7dbba46a49"],"state_sha256":"6c889caf45d5b1dcad9d4619efb44fc6ac948a7589060bf18fb818c32ee440b4"}