{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:56CYWUPJFF552P7IXSW2U4HCIB","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":"18237f0ded3b4e3df6021841fadbee33332fe63b4d5c96734a1bc138c4667d28","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-07T22:15:12Z","title_canon_sha256":"b4fa5e677ab0335856f089c81e9ea1ac465bc37ec0f25e6d004c4b1db4fd0871"},"schema_version":"1.0","source":{"id":"2405.05285","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.05285","created_at":"2026-07-05T08:17:16Z"},{"alias_kind":"arxiv_version","alias_value":"2405.05285v1","created_at":"2026-07-05T08:17:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.05285","created_at":"2026-07-05T08:17:16Z"},{"alias_kind":"pith_short_12","alias_value":"56CYWUPJFF55","created_at":"2026-07-05T08:17:16Z"},{"alias_kind":"pith_short_16","alias_value":"56CYWUPJFF552P7I","created_at":"2026-07-05T08:17:16Z"},{"alias_kind":"pith_short_8","alias_value":"56CYWUPJ","created_at":"2026-07-05T08:17:16Z"}],"graph_snapshots":[{"event_id":"sha256:01833ae9d322144578b9b08eed41f045160c60360cbfcb2c36e8d8a50a29efab","target":"graph","created_at":"2026-07-05T08:17:16Z","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/2405.05285/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study investigates the metacognitive capabilities of Large Language Models relative to human metacognition in the context of the International Coaching Federation ICF mimicking exam, a situational judgment test related to coaching competencies. Using a mixed method approach, we assessed the metacognitive performance, including sensitivity, accuracy in probabilistic predictions, and bias, of human participants and five advanced LLMs (GPT-4, Claude-3-Opus 3, Mistral Large, Llama 3, and Gemini 1.5 Pro). The results indicate that LLMs outperformed humans across all metacognitive metrics, part","authors_text":"Adrijana Milosavljevic, Djordje Babic, Faculty of Philosophy, Jelena Pavlovic (University of Belgrade, Jugoslav Krstic, Koucing centar Resarch Lab), Luka Mitrovic, Milena Nikolic, Tijana Karaklic, Tijana Mitrovic (Koucing centar Research Lab)","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-07T22:15:12Z","title":"Generative AI as a metacognitive agent: A comparative mixed-method study with human participants on ICF-mimicking exam performance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.05285","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":"sha256:141b6e56f4cb89395b08ef3a570b58a8e2827863a613608ccc317ad582abcff4","target":"record","created_at":"2026-07-05T08:17:16Z","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":"18237f0ded3b4e3df6021841fadbee33332fe63b4d5c96734a1bc138c4667d28","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-07T22:15:12Z","title_canon_sha256":"b4fa5e677ab0335856f089c81e9ea1ac465bc37ec0f25e6d004c4b1db4fd0871"},"schema_version":"1.0","source":{"id":"2405.05285","kind":"arxiv","version":1}},"canonical_sha256":"ef858b51e9297bdd3fe8bcadaa70e24060e0b0b12732e5f522cd1ff2949ff61d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef858b51e9297bdd3fe8bcadaa70e24060e0b0b12732e5f522cd1ff2949ff61d","first_computed_at":"2026-07-05T08:17:16.215915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:16.215915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ugzNJy4JP7uyOpVrMtu1CgUi5RzVBMTTNMJvvEk+c2njTcLyJbKj3Wk+C0pChSrCDd/+Zj6fkJ7FeID+QPGCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:16.216342Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.05285","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:141b6e56f4cb89395b08ef3a570b58a8e2827863a613608ccc317ad582abcff4","sha256:01833ae9d322144578b9b08eed41f045160c60360cbfcb2c36e8d8a50a29efab"],"state_sha256":"f6065ce6279e9198d3251f7dbadb1b1622dddaca95b61d2472447a0171d183c6"}