{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4NXQMYKOSAPBQUEQDEW6M763NC","short_pith_number":"pith:4NXQMYKO","canonical_record":{"source":{"id":"2507.22940","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T10:34:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6b3a368b163192d9f0c0c912361259ca435e9ae3c383349afb51319ea5a2a46a","abstract_canon_sha256":"a613e95aa4f4bd71c67ac7d41f37b7d252915e9e915412fa49db6447382cceff"},"schema_version":"1.0"},"canonical_sha256":"e36f06614e901e185090192de67fdb68a6329854da4aabb16e764d40894b3454","source":{"kind":"arxiv","id":"2507.22940","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22940","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22940v2","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22940","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"4NXQMYKOSAPB","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"4NXQMYKOSAPBQUEQ","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"4NXQMYKO","created_at":"2026-07-05T11:47:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4NXQMYKOSAPBQUEQDEW6M763NC","target":"record","payload":{"canonical_record":{"source":{"id":"2507.22940","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T10:34:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6b3a368b163192d9f0c0c912361259ca435e9ae3c383349afb51319ea5a2a46a","abstract_canon_sha256":"a613e95aa4f4bd71c67ac7d41f37b7d252915e9e915412fa49db6447382cceff"},"schema_version":"1.0"},"canonical_sha256":"e36f06614e901e185090192de67fdb68a6329854da4aabb16e764d40894b3454","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:27.503188Z","signature_b64":"QwhjROk0yd0U8Ml3BmtfgfZpWTzvGZOXwlfzqvbcoWGZ4jqJEKNpQL6yMr4RKuwr27ySUGO3gywdvLaPunstAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e36f06614e901e185090192de67fdb68a6329854da4aabb16e764d40894b3454","last_reissued_at":"2026-07-05T11:47:27.502661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:27.502661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.22940","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mrr5jda/D2AF9YS3mA6ckKHvkvweBmd8I3DOdh547D1hW1z+qLa2AANLaPwyMJdH5JeJxOq70KAv5Kz0po/7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:41:33.426285Z"},"content_sha256":"24bac1a59cb469f34392aaa1cbd494fa5291de59281d4c2d534f0416ca570cd5","schema_version":"1.0","event_id":"sha256:24bac1a59cb469f34392aaa1cbd494fa5291de59281d4c2d534f0416ca570cd5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4NXQMYKOSAPBQUEQDEW6M763NC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jinku Li, Rui Jiao, Yue Zhang","submitted_at":"2025-07-25T10:34:51Z","abstract_excerpt":"We present a novel framework addressing a critical vulnerability in Large Language Models (LLMs): the prevalence of factual inaccuracies within intermediate reasoning steps despite correct final answers. This phenomenon poses substantial risks in high-stakes domains including healthcare, legal analysis, and scientific research, where erroneous yet confidently presented reasoning can mislead users into dangerous decisions. Our framework integrates three core components: (1) a specialized fact-checking classifier trained on counterfactually augmented data to detect subtle factual inconsistencies"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22940","kind":"arxiv","version":2},"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/2507.22940/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":"2026-07-05T11:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rfG83REkD46LhTUL0yyFvfwn4c+yNgXQADtLDaJb5R51cbE91FGpg91kts4sSyxUhzeEGoAcPQBl3O02xWq5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:41:33.427274Z"},"content_sha256":"27f6e896126d2c2a28e3625461282a04c88957faba111c7b4b1fbf0b6af55904","schema_version":"1.0","event_id":"sha256:27f6e896126d2c2a28e3625461282a04c88957faba111c7b4b1fbf0b6af55904"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4NXQMYKOSAPBQUEQDEW6M763NC/bundle.json","state_url":"https://pith.science/pith/4NXQMYKOSAPBQUEQDEW6M763NC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4NXQMYKOSAPBQUEQDEW6M763NC/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":"2026-08-20T02:41:33Z","links":{"resolver":"https://pith.science/pith/4NXQMYKOSAPBQUEQDEW6M763NC","bundle":"https://pith.science/pith/4NXQMYKOSAPBQUEQDEW6M763NC/bundle.json","state":"https://pith.science/pith/4NXQMYKOSAPBQUEQDEW6M763NC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4NXQMYKOSAPBQUEQDEW6M763NC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4NXQMYKOSAPBQUEQDEW6M763NC","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":"a613e95aa4f4bd71c67ac7d41f37b7d252915e9e915412fa49db6447382cceff","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T10:34:51Z","title_canon_sha256":"6b3a368b163192d9f0c0c912361259ca435e9ae3c383349afb51319ea5a2a46a"},"schema_version":"1.0","source":{"id":"2507.22940","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22940","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22940v2","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22940","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"4NXQMYKOSAPB","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"4NXQMYKOSAPBQUEQ","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"4NXQMYKO","created_at":"2026-07-05T11:47:27Z"}],"graph_snapshots":[{"event_id":"sha256:27f6e896126d2c2a28e3625461282a04c88957faba111c7b4b1fbf0b6af55904","target":"graph","created_at":"2026-07-05T11:47:27Z","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/2507.22940/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel framework addressing a critical vulnerability in Large Language Models (LLMs): the prevalence of factual inaccuracies within intermediate reasoning steps despite correct final answers. This phenomenon poses substantial risks in high-stakes domains including healthcare, legal analysis, and scientific research, where erroneous yet confidently presented reasoning can mislead users into dangerous decisions. Our framework integrates three core components: (1) a specialized fact-checking classifier trained on counterfactually augmented data to detect subtle factual inconsistencies","authors_text":"Jinku Li, Rui Jiao, Yue Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T10:34:51Z","title":"Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22940","kind":"arxiv","version":2},"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":"sha256:24bac1a59cb469f34392aaa1cbd494fa5291de59281d4c2d534f0416ca570cd5","target":"record","created_at":"2026-07-05T11:47:27Z","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":"a613e95aa4f4bd71c67ac7d41f37b7d252915e9e915412fa49db6447382cceff","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-25T10:34:51Z","title_canon_sha256":"6b3a368b163192d9f0c0c912361259ca435e9ae3c383349afb51319ea5a2a46a"},"schema_version":"1.0","source":{"id":"2507.22940","kind":"arxiv","version":2}},"canonical_sha256":"e36f06614e901e185090192de67fdb68a6329854da4aabb16e764d40894b3454","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e36f06614e901e185090192de67fdb68a6329854da4aabb16e764d40894b3454","first_computed_at":"2026-07-05T11:47:27.502661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:27.502661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QwhjROk0yd0U8Ml3BmtfgfZpWTzvGZOXwlfzqvbcoWGZ4jqJEKNpQL6yMr4RKuwr27ySUGO3gywdvLaPunstAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:27.503188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.22940","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24bac1a59cb469f34392aaa1cbd494fa5291de59281d4c2d534f0416ca570cd5","sha256:27f6e896126d2c2a28e3625461282a04c88957faba111c7b4b1fbf0b6af55904"],"state_sha256":"99df5dd70e12b63dcd9db726605e2f3bf3d768676f368c1c55e50f64e548f88a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OSeugqBssdYZXfg2EgmJmytYK9p/ARVcvd+i+WKVcD3osIXWv7B4JGhdROGdtgBi8q9ElXVLiLobkxYWT3gdCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T02:41:33.431661Z","bundle_sha256":"36657e33416152bc2d62dc076eca0c240f2378143ea9f56623361c935144d175"}}