{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YQWLNKAL7USU2S437CKXWN7PND","short_pith_number":"pith:YQWLNKAL","canonical_record":{"source":{"id":"2508.17291","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T10:36:36Z","cross_cats_sorted":[],"title_canon_sha256":"a246c7e1d9dbbc2cf26b35e686925b8249e128fab58aac19778d4767652e01cd","abstract_canon_sha256":"d6691c54eb377ed9a0c6214a769edb1c1f1fcc41a45915d76f74b68d18e3315a"},"schema_version":"1.0"},"canonical_sha256":"c42cb6a80bfd254d4b9bf8957b37ef68f237c569b3a6a0425d56e530ad7cc873","source":{"kind":"arxiv","id":"2508.17291","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17291","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17291v1","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17291","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_12","alias_value":"YQWLNKAL7USU","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_16","alias_value":"YQWLNKAL7USU2S43","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_8","alias_value":"YQWLNKAL","created_at":"2026-07-05T11:58:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YQWLNKAL7USU2S437CKXWN7PND","target":"record","payload":{"canonical_record":{"source":{"id":"2508.17291","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T10:36:36Z","cross_cats_sorted":[],"title_canon_sha256":"a246c7e1d9dbbc2cf26b35e686925b8249e128fab58aac19778d4767652e01cd","abstract_canon_sha256":"d6691c54eb377ed9a0c6214a769edb1c1f1fcc41a45915d76f74b68d18e3315a"},"schema_version":"1.0"},"canonical_sha256":"c42cb6a80bfd254d4b9bf8957b37ef68f237c569b3a6a0425d56e530ad7cc873","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:39.276272Z","signature_b64":"hPTm7wjIxMqsPEkgjTWstQIsyw1UzQHmHKEOGd2Vb0nTYQnz01CzJfRalDU/m1RfJDAjTsKz/3I9Xcr5Ri7VAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c42cb6a80bfd254d4b9bf8957b37ef68f237c569b3a6a0425d56e530ad7cc873","last_reissued_at":"2026-07-05T11:58:39.275696Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:39.275696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.17291","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":"2026-07-05T11:58:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EijeVoghruXyFvS7yDr3Y9xCH6cKWM9jAtsHOcGmXHdQQjBdwq3S4IExeQy5aRVF6NAIrMI72CJKl6w9KBnrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:11:54.107615Z"},"content_sha256":"1e39e709580f749788e00744a1a875730b252abd471aa5b64a9a84eb54b75ef7","schema_version":"1.0","event_id":"sha256:1e39e709580f749788e00744a1a875730b252abd471aa5b64a9a84eb54b75ef7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YQWLNKAL7USU2S437CKXWN7PND","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Meta-R1: Empowering Large Reasoning Models with Metacognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Guojie Song, Haonan Dong, Haoran Ye, Kehan Jiang, Wenhao Zhu","submitted_at":"2025-08-24T10:36:36Z","abstract_excerpt":"Large Reasoning Models (LRMs) demonstrate remarkable capabilities on complex tasks, exhibiting emergent, human-like thinking patterns. Despite their advances, we identify a fundamental limitation: current LRMs lack a dedicated meta-level cognitive system-an essential faculty in human cognition that enables \"thinking about thinking\". This absence leaves their emergent abilities uncontrollable (non-adaptive reasoning), unreliable (intermediate error), and inflexible (lack of a clear methodology). To address this gap, we introduce Meta-R1, a systematic and generic framework that endows LRMs with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17291","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/2508.17291/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":"2026-07-05T11:58:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qEEJk9jWhXq4t8XjEdCVXK5x7Lncxcs8DDLt/yN2SrU2Ne8846/pNioIJA79oIjKDihAgQ7UCzVUA0Wi+d+sBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:11:54.108098Z"},"content_sha256":"47128b52394a2177f223947a878e690acdc0804c1abde64c1eaa94c5b2cff555","schema_version":"1.0","event_id":"sha256:47128b52394a2177f223947a878e690acdc0804c1abde64c1eaa94c5b2cff555"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YQWLNKAL7USU2S437CKXWN7PND/bundle.json","state_url":"https://pith.science/pith/YQWLNKAL7USU2S437CKXWN7PND/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YQWLNKAL7USU2S437CKXWN7PND/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":"2026-08-05T08:11:54Z","links":{"resolver":"https://pith.science/pith/YQWLNKAL7USU2S437CKXWN7PND","bundle":"https://pith.science/pith/YQWLNKAL7USU2S437CKXWN7PND/bundle.json","state":"https://pith.science/pith/YQWLNKAL7USU2S437CKXWN7PND/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YQWLNKAL7USU2S437CKXWN7PND/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YQWLNKAL7USU2S437CKXWN7PND","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":"d6691c54eb377ed9a0c6214a769edb1c1f1fcc41a45915d76f74b68d18e3315a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T10:36:36Z","title_canon_sha256":"a246c7e1d9dbbc2cf26b35e686925b8249e128fab58aac19778d4767652e01cd"},"schema_version":"1.0","source":{"id":"2508.17291","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17291","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17291v1","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17291","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_12","alias_value":"YQWLNKAL7USU","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_16","alias_value":"YQWLNKAL7USU2S43","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_8","alias_value":"YQWLNKAL","created_at":"2026-07-05T11:58:39Z"}],"graph_snapshots":[{"event_id":"sha256:47128b52394a2177f223947a878e690acdc0804c1abde64c1eaa94c5b2cff555","target":"graph","created_at":"2026-07-05T11:58:39Z","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/2508.17291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Reasoning Models (LRMs) demonstrate remarkable capabilities on complex tasks, exhibiting emergent, human-like thinking patterns. Despite their advances, we identify a fundamental limitation: current LRMs lack a dedicated meta-level cognitive system-an essential faculty in human cognition that enables \"thinking about thinking\". This absence leaves their emergent abilities uncontrollable (non-adaptive reasoning), unreliable (intermediate error), and inflexible (lack of a clear methodology). To address this gap, we introduce Meta-R1, a systematic and generic framework that endows LRMs with ","authors_text":"Guojie Song, Haonan Dong, Haoran Ye, Kehan Jiang, Wenhao Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T10:36:36Z","title":"Meta-R1: Empowering Large Reasoning Models with Metacognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17291","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":"sha256:1e39e709580f749788e00744a1a875730b252abd471aa5b64a9a84eb54b75ef7","target":"record","created_at":"2026-07-05T11:58:39Z","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":"d6691c54eb377ed9a0c6214a769edb1c1f1fcc41a45915d76f74b68d18e3315a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-24T10:36:36Z","title_canon_sha256":"a246c7e1d9dbbc2cf26b35e686925b8249e128fab58aac19778d4767652e01cd"},"schema_version":"1.0","source":{"id":"2508.17291","kind":"arxiv","version":1}},"canonical_sha256":"c42cb6a80bfd254d4b9bf8957b37ef68f237c569b3a6a0425d56e530ad7cc873","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c42cb6a80bfd254d4b9bf8957b37ef68f237c569b3a6a0425d56e530ad7cc873","first_computed_at":"2026-07-05T11:58:39.275696Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:39.275696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hPTm7wjIxMqsPEkgjTWstQIsyw1UzQHmHKEOGd2Vb0nTYQnz01CzJfRalDU/m1RfJDAjTsKz/3I9Xcr5Ri7VAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:39.276272Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.17291","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e39e709580f749788e00744a1a875730b252abd471aa5b64a9a84eb54b75ef7","sha256:47128b52394a2177f223947a878e690acdc0804c1abde64c1eaa94c5b2cff555"],"state_sha256":"6849460056deaeb5055a2043b4610844a61f45b03815c1405965213da0f3f107"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NNVXinaIVY5D1b79Pq/Otig5dg2EEas/gJVvXWuU0xMP4HPW6X1OAoISQw+wAOhXMfe6wWTcVCZpp55TN9kRCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:11:54.111326Z","bundle_sha256":"a89e159f9509921324645c36609ab5b7401af44dde94f87288c92bfecd6fb27e"}}