{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XMU6DAUV75HJRTCNR4H3W6EZCR","short_pith_number":"pith:XMU6DAUV","canonical_record":{"source":{"id":"2505.10185","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-15T11:31:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"809baa105244ee32030d97fbfa505b24f2656a291510eade5c04c72e10906476","abstract_canon_sha256":"fcb89562807873e8ad200a9eefc54384bfde7e6c4d5ff62bc360409e1a783f65"},"schema_version":"1.0"},"canonical_sha256":"bb29e18295ff4e98cc4d8f0fbb78991462fad65a35c3bff72fa824289498ed5d","source":{"kind":"arxiv","id":"2505.10185","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10185","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10185v1","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10185","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"pith_short_12","alias_value":"XMU6DAUV75HJ","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"pith_short_16","alias_value":"XMU6DAUV75HJRTCN","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"pith_short_8","alias_value":"XMU6DAUV","created_at":"2026-07-05T11:03:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XMU6DAUV75HJRTCNR4H3W6EZCR","target":"record","payload":{"canonical_record":{"source":{"id":"2505.10185","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-15T11:31:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"809baa105244ee32030d97fbfa505b24f2656a291510eade5c04c72e10906476","abstract_canon_sha256":"fcb89562807873e8ad200a9eefc54384bfde7e6c4d5ff62bc360409e1a783f65"},"schema_version":"1.0"},"canonical_sha256":"bb29e18295ff4e98cc4d8f0fbb78991462fad65a35c3bff72fa824289498ed5d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:03:34.714121Z","signature_b64":"bNSQOMTZ+Nxlo8Zw2YpMylggCfYlVRhDTZhHZkGtDo4t3pPJgiIe0gSWs4mtQcbcsmwu0l8aj6EI+/QuHUxuDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb29e18295ff4e98cc4d8f0fbb78991462fad65a35c3bff72fa824289498ed5d","last_reissued_at":"2026-07-05T11:03:34.713643Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:03:34.713643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.10185","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:03:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"85LaJ01sP4pr4mCH9lLrMcA461EIN7XhDkgY3TkpccDzFs2c4ng4ddBqYAZju0aewHbdDobTCpEn0QIsD1qbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:53:43.186275Z"},"content_sha256":"ecea45f394ffe9d866dcea932717388cce65345cd6b64ba84e0d081f6523c994","schema_version":"1.0","event_id":"sha256:ecea45f394ffe9d866dcea932717388cce65345cd6b64ba84e0d081f6523c994"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XMU6DAUV75HJRTCNR4H3W6EZCR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Dongyoung Go, Graham Neubig, Hyeonbin Hwang, Jinho Park, Minjoon Seo, Minju Seo, Moontae Lee, Sean Welleck, Seongyun Lee, Seungone Kim, Xiang Yue, Yongrae Jo","submitted_at":"2025-05-15T11:31:02Z","abstract_excerpt":"Long chain-of-thought (CoT) is an essential ingredient in effective usage of modern large language models, but our understanding of the reasoning strategies underlying these capabilities remains limited. While some prior works have attempted to categorize CoTs using predefined strategy types, such approaches are constrained by human intuition and fail to capture the full diversity of model behaviors. In this work, we introduce the CoT Encyclopedia, a bottom-up framework for analyzing and steering model reasoning. Our method automatically extracts diverse reasoning criteria from model-generated"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10185","kind":"arxiv","version":1},"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/2505.10185/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:03:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cAWVpZ3nPgwWBoA5Zm8QwELy0zTdDLVSIp/1clf+d3yMGrBTgSXHCDn7+HcECI1COOV4ilgZZbmDDu4fi7ACAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:53:43.186858Z"},"content_sha256":"cda77e1939132c71ea6170179f2477f96357012259b3cfda66596410594a490b","schema_version":"1.0","event_id":"sha256:cda77e1939132c71ea6170179f2477f96357012259b3cfda66596410594a490b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XMU6DAUV75HJRTCNR4H3W6EZCR/bundle.json","state_url":"https://pith.science/pith/XMU6DAUV75HJRTCNR4H3W6EZCR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XMU6DAUV75HJRTCNR4H3W6EZCR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-22T21:53:43Z","links":{"resolver":"https://pith.science/pith/XMU6DAUV75HJRTCNR4H3W6EZCR","bundle":"https://pith.science/pith/XMU6DAUV75HJRTCNR4H3W6EZCR/bundle.json","state":"https://pith.science/pith/XMU6DAUV75HJRTCNR4H3W6EZCR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XMU6DAUV75HJRTCNR4H3W6EZCR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XMU6DAUV75HJRTCNR4H3W6EZCR","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":"fcb89562807873e8ad200a9eefc54384bfde7e6c4d5ff62bc360409e1a783f65","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-15T11:31:02Z","title_canon_sha256":"809baa105244ee32030d97fbfa505b24f2656a291510eade5c04c72e10906476"},"schema_version":"1.0","source":{"id":"2505.10185","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10185","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10185v1","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10185","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"pith_short_12","alias_value":"XMU6DAUV75HJ","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"pith_short_16","alias_value":"XMU6DAUV75HJRTCN","created_at":"2026-07-05T11:03:34Z"},{"alias_kind":"pith_short_8","alias_value":"XMU6DAUV","created_at":"2026-07-05T11:03:34Z"}],"graph_snapshots":[{"event_id":"sha256:cda77e1939132c71ea6170179f2477f96357012259b3cfda66596410594a490b","target":"graph","created_at":"2026-07-05T11:03:34Z","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/2505.10185/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long chain-of-thought (CoT) is an essential ingredient in effective usage of modern large language models, but our understanding of the reasoning strategies underlying these capabilities remains limited. While some prior works have attempted to categorize CoTs using predefined strategy types, such approaches are constrained by human intuition and fail to capture the full diversity of model behaviors. In this work, we introduce the CoT Encyclopedia, a bottom-up framework for analyzing and steering model reasoning. Our method automatically extracts diverse reasoning criteria from model-generated","authors_text":"Dongyoung Go, Graham Neubig, Hyeonbin Hwang, Jinho Park, Minjoon Seo, Minju Seo, Moontae Lee, Sean Welleck, Seongyun Lee, Seungone Kim, Xiang Yue, Yongrae Jo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-15T11:31:02Z","title":"The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10185","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:ecea45f394ffe9d866dcea932717388cce65345cd6b64ba84e0d081f6523c994","target":"record","created_at":"2026-07-05T11:03:34Z","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":"fcb89562807873e8ad200a9eefc54384bfde7e6c4d5ff62bc360409e1a783f65","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-15T11:31:02Z","title_canon_sha256":"809baa105244ee32030d97fbfa505b24f2656a291510eade5c04c72e10906476"},"schema_version":"1.0","source":{"id":"2505.10185","kind":"arxiv","version":1}},"canonical_sha256":"bb29e18295ff4e98cc4d8f0fbb78991462fad65a35c3bff72fa824289498ed5d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb29e18295ff4e98cc4d8f0fbb78991462fad65a35c3bff72fa824289498ed5d","first_computed_at":"2026-07-05T11:03:34.713643Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:03:34.713643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bNSQOMTZ+Nxlo8Zw2YpMylggCfYlVRhDTZhHZkGtDo4t3pPJgiIe0gSWs4mtQcbcsmwu0l8aj6EI+/QuHUxuDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:03:34.714121Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.10185","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecea45f394ffe9d866dcea932717388cce65345cd6b64ba84e0d081f6523c994","sha256:cda77e1939132c71ea6170179f2477f96357012259b3cfda66596410594a490b"],"state_sha256":"749f55bffb466de471d5cecc6ba40c6cc14dc70bfdce2501706be13780ff6b2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hCabbTCEieVNWJFrXyvYd4fY2lQhzxTnrkKDn/fUEETWb81WPpSvWijHPkNqyOiSCaNc4OnuUyCXMQqy2Pi+CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T21:53:43.192177Z","bundle_sha256":"9d2f02f8423f326a4f4e12d22343a0e9e22b42018f3227fc5b40df0bb1d9b396"}}