{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WXZL7V7CFLCRUADN6WQEVWPSIF","short_pith_number":"pith:WXZL7V7C","canonical_record":{"source":{"id":"2503.15268","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-19T14:44:02Z","cross_cats_sorted":[],"title_canon_sha256":"15e7a2855715d8ecb76346d7081ecdbeeb9191dcf1c2b623ed0616e45337de0d","abstract_canon_sha256":"2896ffd32ccccf2ea1680e4bd3a93f3a2035f4c4ff5f73d664c9435272db34b9"},"schema_version":"1.0"},"canonical_sha256":"b5f2bfd7e22ac51a006df5a04ad9f2414abbe1ea23ea12306301c8bb58f42045","source":{"kind":"arxiv","id":"2503.15268","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15268","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15268v1","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15268","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"WXZL7V7CFLCR","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"WXZL7V7CFLCRUADN","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"WXZL7V7C","created_at":"2026-07-05T10:34:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WXZL7V7CFLCRUADN6WQEVWPSIF","target":"record","payload":{"canonical_record":{"source":{"id":"2503.15268","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-19T14:44:02Z","cross_cats_sorted":[],"title_canon_sha256":"15e7a2855715d8ecb76346d7081ecdbeeb9191dcf1c2b623ed0616e45337de0d","abstract_canon_sha256":"2896ffd32ccccf2ea1680e4bd3a93f3a2035f4c4ff5f73d664c9435272db34b9"},"schema_version":"1.0"},"canonical_sha256":"b5f2bfd7e22ac51a006df5a04ad9f2414abbe1ea23ea12306301c8bb58f42045","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:34:50.087544Z","signature_b64":"p0/WaIsAPGdZGutW35oHh/pPpFAs2/4r/1edhVj4WjKfWigmU+tLO3pBr1uaJSsRY0NHX3iZDGnnkTud0J2dAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5f2bfd7e22ac51a006df5a04ad9f2414abbe1ea23ea12306301c8bb58f42045","last_reissued_at":"2026-07-05T10:34:50.086546Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:34:50.086546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.15268","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":"2026-07-05T10:34:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x6G9taxKdRvnBqA5kcV77dX9tn38b82wnZS5ldS0IEw9IDuDbd3RVVFNTicm9zeLaxFEeL3CyIC2fnHMfnwzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:23:46.337039Z"},"content_sha256":"4946c9ff4da5f0cf2d949101115f50c3229293e306bb7eca8dc512ebd120fb4a","schema_version":"1.0","event_id":"sha256:4946c9ff4da5f0cf2d949101115f50c3229293e306bb7eca8dc512ebd120fb4a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WXZL7V7CFLCRUADN6WQEVWPSIF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Roberto Araya","submitted_at":"2025-03-19T14:44:02Z","abstract_excerpt":"Learning to reason and carefully explain arguments is central to students' cognitive, mathematical, and computational thinking development. This is particularly challenging in problems under uncertainty and in Bayesian reasoning. With the new generation of large language models (LLMs) capable of reasoning using Chain-of-Thought (CoT), there is an excellent opportunity to learn with them as they explain their reasoning through a dialogue with their artificial internal voice. It is an engaging and excellent opportunity to learn Bayesian reasoning. Furthermore, given that different LLMs sometimes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15268","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/2503.15268/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":"2026-07-05T10:34:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JpuosZtzrGW6BbJNQMPMAJ8aivYHuFCItZRLP4NSX/NEeUckSnI78JhKcOtCMRUM+M0Kz270XIQ+aWQk1UErBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:23:46.337538Z"},"content_sha256":"15928797d5af8e7733a2e52dfff368b1a4020832a914ce957ef5106df7669b12","schema_version":"1.0","event_id":"sha256:15928797d5af8e7733a2e52dfff368b1a4020832a914ce957ef5106df7669b12"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WXZL7V7CFLCRUADN6WQEVWPSIF/bundle.json","state_url":"https://pith.science/pith/WXZL7V7CFLCRUADN6WQEVWPSIF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WXZL7V7CFLCRUADN6WQEVWPSIF/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":"2026-08-09T15:23:46Z","links":{"resolver":"https://pith.science/pith/WXZL7V7CFLCRUADN6WQEVWPSIF","bundle":"https://pith.science/pith/WXZL7V7CFLCRUADN6WQEVWPSIF/bundle.json","state":"https://pith.science/pith/WXZL7V7CFLCRUADN6WQEVWPSIF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WXZL7V7CFLCRUADN6WQEVWPSIF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WXZL7V7CFLCRUADN6WQEVWPSIF","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":"2896ffd32ccccf2ea1680e4bd3a93f3a2035f4c4ff5f73d664c9435272db34b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-19T14:44:02Z","title_canon_sha256":"15e7a2855715d8ecb76346d7081ecdbeeb9191dcf1c2b623ed0616e45337de0d"},"schema_version":"1.0","source":{"id":"2503.15268","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15268","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15268v1","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15268","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"WXZL7V7CFLCR","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"WXZL7V7CFLCRUADN","created_at":"2026-07-05T10:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"WXZL7V7C","created_at":"2026-07-05T10:34:50Z"}],"graph_snapshots":[{"event_id":"sha256:15928797d5af8e7733a2e52dfff368b1a4020832a914ce957ef5106df7669b12","target":"graph","created_at":"2026-07-05T10:34:50Z","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/2503.15268/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning to reason and carefully explain arguments is central to students' cognitive, mathematical, and computational thinking development. This is particularly challenging in problems under uncertainty and in Bayesian reasoning. With the new generation of large language models (LLMs) capable of reasoning using Chain-of-Thought (CoT), there is an excellent opportunity to learn with them as they explain their reasoning through a dialogue with their artificial internal voice. It is an engaging and excellent opportunity to learn Bayesian reasoning. Furthermore, given that different LLMs sometimes","authors_text":"Roberto Araya","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-19T14:44:02Z","title":"Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15268","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":"sha256:4946c9ff4da5f0cf2d949101115f50c3229293e306bb7eca8dc512ebd120fb4a","target":"record","created_at":"2026-07-05T10:34:50Z","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":"2896ffd32ccccf2ea1680e4bd3a93f3a2035f4c4ff5f73d664c9435272db34b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-19T14:44:02Z","title_canon_sha256":"15e7a2855715d8ecb76346d7081ecdbeeb9191dcf1c2b623ed0616e45337de0d"},"schema_version":"1.0","source":{"id":"2503.15268","kind":"arxiv","version":1}},"canonical_sha256":"b5f2bfd7e22ac51a006df5a04ad9f2414abbe1ea23ea12306301c8bb58f42045","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5f2bfd7e22ac51a006df5a04ad9f2414abbe1ea23ea12306301c8bb58f42045","first_computed_at":"2026-07-05T10:34:50.086546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:34:50.086546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p0/WaIsAPGdZGutW35oHh/pPpFAs2/4r/1edhVj4WjKfWigmU+tLO3pBr1uaJSsRY0NHX3iZDGnnkTud0J2dAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:34:50.087544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15268","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4946c9ff4da5f0cf2d949101115f50c3229293e306bb7eca8dc512ebd120fb4a","sha256:15928797d5af8e7733a2e52dfff368b1a4020832a914ce957ef5106df7669b12"],"state_sha256":"4de4707057d70bd307bbf400655da956a9b31ed53857e7438a0e56b1efb7a39b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jXLviHZWZ1KtKNISg5sbuwv+HufJeybRGMO/CZiQm4lVpHmc4HZCt21JNshef/wLXQ9pp0FiY/mfhnlOv6k3Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T15:23:46.341327Z","bundle_sha256":"5a68c43eafaa1e2a86ccced1d39dc9a1cd068215019c5a98bed603d6e1f5b0b2"}}