{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KBBEGG22VLPTU6BTTFBIRMWEDQ","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":"3c9ec4f0c34077a965ae707d11e046929a14a89fd85813c5b1967a6ecee901d2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-01-13T06:51:40Z","title_canon_sha256":"f128e5a70c99723562f3563f1ac08e0f7f8604bbfe2599ab09e06972b5f65bb9"},"schema_version":"1.0","source":{"id":"2601.08267","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.08267","created_at":"2026-05-27T01:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2601.08267v3","created_at":"2026-05-27T01:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.08267","created_at":"2026-05-27T01:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"KBBEGG22VLPT","created_at":"2026-05-27T01:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"KBBEGG22VLPTU6BT","created_at":"2026-05-27T01:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"KBBEGG22","created_at":"2026-05-27T01:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:bd2cdaa37d9b3d68df1f9c96987b36089b492bb3360724130a18182261ce1866","target":"graph","created_at":"2026-05-27T01:04:54Z","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/2601.08267/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While reasoning-enhanced large language models perform strongly on English medical tasks, a persistent multilingual gap remains, with substantially weaker reasoning in local languages, limiting equitable global medical deployment. To bridge this gap, we introduce Med-CoReasoner, a language-informed co-reasoning framework that elicits parallel English and local-language reasoning, abstracts them into structured concepts, and integrates local clinical knowledge into an English logical scaffold via concept-level alignment and retrieval. This design combines the structural robustness of English re","authors_text":"Akiko Aizawa, Ding Xia, Edison Marrese Taylor, Fan Gao, Hyunjae Kim, Irene Li, Jiahao Huang, Jiwoong Sohn, Junfeng Jiang, Kanyakorn Veerakanjana, Kazuma Kobayashi, Piyalitt Ittichaiwong, Qingyu Chen, Sherry T. Tong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-01-13T06:51:40Z","title":"Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.08267","kind":"arxiv","version":3},"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":"sha256:710c16c63c5d272dc75c19246b16e83177e4a0079b04a345d341c7326e3e7e32","target":"record","created_at":"2026-05-27T01:04:54Z","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":"3c9ec4f0c34077a965ae707d11e046929a14a89fd85813c5b1967a6ecee901d2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-01-13T06:51:40Z","title_canon_sha256":"f128e5a70c99723562f3563f1ac08e0f7f8604bbfe2599ab09e06972b5f65bb9"},"schema_version":"1.0","source":{"id":"2601.08267","kind":"arxiv","version":3}},"canonical_sha256":"5042431b5aaadf3a7833994288b2c41c2694b13831b33a6ab289f0c6e8f08de8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5042431b5aaadf3a7833994288b2c41c2694b13831b33a6ab289f0c6e8f08de8","first_computed_at":"2026-05-27T01:04:54.882078Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:04:54.882078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0vpNu41Z7oKUBfZHDS8aaehDNxUEfIWVCC2uSZmOZAbRFgA2IZsppC5i0X7JSibI0E7+mUQ38AA8EfnCn7psDQ==","signature_status":"signed_v1","signed_at":"2026-05-27T01:04:54.882637Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.08267","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:710c16c63c5d272dc75c19246b16e83177e4a0079b04a345d341c7326e3e7e32","sha256:bd2cdaa37d9b3d68df1f9c96987b36089b492bb3360724130a18182261ce1866"],"state_sha256":"5cd4937217e69c7aa3251957b255dfa365263216943fac12ab8c1a1f9a112f56"}