{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5J3NGKAFW7H3DUSI6U4XUNDJFL","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":"e509aa12e9f6bbd3f6804f4007b2a99a5e7da8133b8717d6a0bbc6d6ebb3561c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T05:15:31Z","title_canon_sha256":"cddf5cbfe4ac02c20fb77d8f3645fbd6bd57961e61f517c834ca585c67cadfee"},"schema_version":"1.0","source":{"id":"2504.18080","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.18080","created_at":"2026-07-05T10:54:01Z"},{"alias_kind":"arxiv_version","alias_value":"2504.18080v1","created_at":"2026-07-05T10:54:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18080","created_at":"2026-07-05T10:54:01Z"},{"alias_kind":"pith_short_12","alias_value":"5J3NGKAFW7H3","created_at":"2026-07-05T10:54:01Z"},{"alias_kind":"pith_short_16","alias_value":"5J3NGKAFW7H3DUSI","created_at":"2026-07-05T10:54:01Z"},{"alias_kind":"pith_short_8","alias_value":"5J3NGKAF","created_at":"2026-07-05T10:54:01Z"}],"graph_snapshots":[{"event_id":"sha256:ade6188415d57380f63ac58766d0fff08bbee79450a51a9e56a079672dd444e6","target":"graph","created_at":"2026-07-05T10:54:01Z","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/2504.18080/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) show potential in medicine, yet clinical adoption is hindered by concerns over factual accuracy, language-specific limitations (e.g., Japanese), and critically, their reliability when required to generate reasoning explanations -- a prerequisite for trust. This paper introduces Preferred-MedLLM-Qwen-72B, a 72B-parameter model optimized for the Japanese medical domain to achieve both high accuracy and stable reasoning. We employ a two-stage fine-tuning process on the Qwen2.5-72B base model: first, Continued Pretraining (CPT) on a comprehensive Japanese medical corpu","authors_text":"Junichiro Iwasawa, Keita Suzuki, Wataru Kawakami","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T05:15:31Z","title":"Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18080","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:da342289a2991957f937d360293c5d29486cbf3566c0af35c74680445b82a88b","target":"record","created_at":"2026-07-05T10:54:01Z","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":"e509aa12e9f6bbd3f6804f4007b2a99a5e7da8133b8717d6a0bbc6d6ebb3561c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T05:15:31Z","title_canon_sha256":"cddf5cbfe4ac02c20fb77d8f3645fbd6bd57961e61f517c834ca585c67cadfee"},"schema_version":"1.0","source":{"id":"2504.18080","kind":"arxiv","version":1}},"canonical_sha256":"ea76d32805b7cfb1d248f5397a34692afd0998d82561fd50f9ca2007fdd20a52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea76d32805b7cfb1d248f5397a34692afd0998d82561fd50f9ca2007fdd20a52","first_computed_at":"2026-07-05T10:54:01.281189Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:01.281189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/dOptZ92dHwd0j/vc8HsH96cpiUA5wnsspWbu5L23bVD8W3cxwQG47Q/vGmUIadK5PuNGC4b/9dPMoSC9UGsBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:01.281726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.18080","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da342289a2991957f937d360293c5d29486cbf3566c0af35c74680445b82a88b","sha256:ade6188415d57380f63ac58766d0fff08bbee79450a51a9e56a079672dd444e6"],"state_sha256":"1374cb67faf238577602150346c8e81266a0514620804f71d36c21d79db0482c"}