{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6IULY3BDA7AJ3ZJFLTNTTYFD7R","short_pith_number":"pith:6IULY3BD","canonical_record":{"source":{"id":"2505.15276","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T08:55:35Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"6424477780d756084f116629e99db694068068f80e4516ca6d5b6906a94e47cb","abstract_canon_sha256":"b3a00527c23286f32f75c6a9b8fff90645705d8a4e898a5b571f5c5fd0802f9b"},"schema_version":"1.0"},"canonical_sha256":"f228bc6c2307c09de5255cdb39e0a3fc4a85af9e7233c7eb14f6bbbcd81474c0","source":{"kind":"arxiv","id":"2505.15276","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15276","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15276v1","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15276","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"pith_short_12","alias_value":"6IULY3BDA7AJ","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"pith_short_16","alias_value":"6IULY3BDA7AJ3ZJF","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"pith_short_8","alias_value":"6IULY3BD","created_at":"2026-07-05T11:06:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6IULY3BDA7AJ3ZJFLTNTTYFD7R","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15276","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T08:55:35Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"6424477780d756084f116629e99db694068068f80e4516ca6d5b6906a94e47cb","abstract_canon_sha256":"b3a00527c23286f32f75c6a9b8fff90645705d8a4e898a5b571f5c5fd0802f9b"},"schema_version":"1.0"},"canonical_sha256":"f228bc6c2307c09de5255cdb39e0a3fc4a85af9e7233c7eb14f6bbbcd81474c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:43.090898Z","signature_b64":"lj+TgXa7dXJ9SPiVvwc1YTyAm3mEBJyxCq0BrqNcVlJsKi8mSqyizndNzv/X+f1vR0yx4Xbq/vHb69ALisykBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f228bc6c2307c09de5255cdb39e0a3fc4a85af9e7233c7eb14f6bbbcd81474c0","last_reissued_at":"2026-07-05T11:06:43.090532Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:43.090532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15276","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":"2026-07-05T11:06:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dnm97hVF8YrjIXkXB8cCRLjD6iU5NXNuie5NUXkYEnihYEa3mRmcbGwbgKopkDXTw5r9gEUA2U9KNNEhnR5ACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:30:46.684907Z"},"content_sha256":"051cd135ddfec1d97e446b20c56902117fc14dd4e821e4ab8c585884d3eec3e1","schema_version":"1.0","event_id":"sha256:051cd135ddfec1d97e446b20c56902117fc14dd4e821e4ab8c585884d3eec3e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6IULY3BDA7AJ3ZJFLTNTTYFD7R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Rongzhi Zhu, Wei Hu, Yi Liu, Yiwei Wang, Zequn Sun","submitted_at":"2025-05-21T08:55:35Z","abstract_excerpt":"Large reasoning models (LRMs) have significantly advanced performance on complex tasks, yet their tendency to overthink introduces inefficiencies. This study investigates the internal mechanisms of reinforcement learning (RL)-trained LRMs when prompted to save thinking, revealing three distinct thinking modes: no thinking (NT), explicit thinking (ET), and implicit thinking (IT). Through comprehensive analysis of confidence in thinking termination, attention from thinking to generation, and attentional focus on input sections, we uncover key factors influencing the reasoning behaviors. We furth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15276","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/2505.15276/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":"2026-07-05T11:06:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Beo/w+U+6rvjGJh9XM8tjIfGmiZujjAyGpXvk+pxDFdLtECxRl8Azmyz6MFe4imTBs5Pb9Rok27l+zVxX7sDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:30:46.685841Z"},"content_sha256":"04a40227855452dc44c8bf7b860b835947201e0a051a25cde838a3d89afe400c","schema_version":"1.0","event_id":"sha256:04a40227855452dc44c8bf7b860b835947201e0a051a25cde838a3d89afe400c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R/bundle.json","state_url":"https://pith.science/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R/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":"2026-08-08T12:30:46Z","links":{"resolver":"https://pith.science/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R","bundle":"https://pith.science/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R/bundle.json","state":"https://pith.science/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6IULY3BDA7AJ3ZJFLTNTTYFD7R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6IULY3BDA7AJ3ZJFLTNTTYFD7R","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":"b3a00527c23286f32f75c6a9b8fff90645705d8a4e898a5b571f5c5fd0802f9b","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T08:55:35Z","title_canon_sha256":"6424477780d756084f116629e99db694068068f80e4516ca6d5b6906a94e47cb"},"schema_version":"1.0","source":{"id":"2505.15276","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15276","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15276v1","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15276","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"pith_short_12","alias_value":"6IULY3BDA7AJ","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"pith_short_16","alias_value":"6IULY3BDA7AJ3ZJF","created_at":"2026-07-05T11:06:43Z"},{"alias_kind":"pith_short_8","alias_value":"6IULY3BD","created_at":"2026-07-05T11:06:43Z"}],"graph_snapshots":[{"event_id":"sha256:04a40227855452dc44c8bf7b860b835947201e0a051a25cde838a3d89afe400c","target":"graph","created_at":"2026-07-05T11:06:43Z","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/2505.15276/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large reasoning models (LRMs) have significantly advanced performance on complex tasks, yet their tendency to overthink introduces inefficiencies. This study investigates the internal mechanisms of reinforcement learning (RL)-trained LRMs when prompted to save thinking, revealing three distinct thinking modes: no thinking (NT), explicit thinking (ET), and implicit thinking (IT). Through comprehensive analysis of confidence in thinking termination, attention from thinking to generation, and attentional focus on input sections, we uncover key factors influencing the reasoning behaviors. We furth","authors_text":"Rongzhi Zhu, Wei Hu, Yi Liu, Yiwei Wang, Zequn Sun","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15276","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":"sha256:051cd135ddfec1d97e446b20c56902117fc14dd4e821e4ab8c585884d3eec3e1","target":"record","created_at":"2026-07-05T11:06:43Z","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":"b3a00527c23286f32f75c6a9b8fff90645705d8a4e898a5b571f5c5fd0802f9b","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T08:55:35Z","title_canon_sha256":"6424477780d756084f116629e99db694068068f80e4516ca6d5b6906a94e47cb"},"schema_version":"1.0","source":{"id":"2505.15276","kind":"arxiv","version":1}},"canonical_sha256":"f228bc6c2307c09de5255cdb39e0a3fc4a85af9e7233c7eb14f6bbbcd81474c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f228bc6c2307c09de5255cdb39e0a3fc4a85af9e7233c7eb14f6bbbcd81474c0","first_computed_at":"2026-07-05T11:06:43.090532Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:43.090532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lj+TgXa7dXJ9SPiVvwc1YTyAm3mEBJyxCq0BrqNcVlJsKi8mSqyizndNzv/X+f1vR0yx4Xbq/vHb69ALisykBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:43.090898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15276","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:051cd135ddfec1d97e446b20c56902117fc14dd4e821e4ab8c585884d3eec3e1","sha256:04a40227855452dc44c8bf7b860b835947201e0a051a25cde838a3d89afe400c"],"state_sha256":"8537cfa4fe48554c7d6210b873e67220f28c3eef56ca002eef16fc0293f1ef12"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i/X+s9lYztcy6ITrn46pt5BqGvyer8gf1mD+55eoY5sNQJd3BHJ2S8K0oPeAO11A6I3oi9hpFlscxOzF7qcpDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:30:46.692015Z","bundle_sha256":"71f28c6c7c2708589788fdfcc4ef100187d5f1c9c2d52785e282e44e16477440"}}