{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:46BFV75XHWPIPZVS42EXGYYFBP","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":"8a9aa897997fa3f6af9ecbb8dca94f2081c22f7b87a6e32f9e3905266c84d3fc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T15:51:04Z","title_canon_sha256":"bcadae7f57baac7e4cf4065967880f67182fcc4b0327b30679f158927839f2ec"},"schema_version":"1.0","source":{"id":"2605.24635","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24635","created_at":"2026-05-26T01:03:50Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24635v1","created_at":"2026-05-26T01:03:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24635","created_at":"2026-05-26T01:03:50Z"},{"alias_kind":"pith_short_12","alias_value":"46BFV75XHWPI","created_at":"2026-05-26T01:03:50Z"},{"alias_kind":"pith_short_16","alias_value":"46BFV75XHWPIPZVS","created_at":"2026-05-26T01:03:50Z"},{"alias_kind":"pith_short_8","alias_value":"46BFV75X","created_at":"2026-05-26T01:03:50Z"}],"graph_snapshots":[{"event_id":"sha256:626e8660ffb51096c8c4348350ab0ee3cc995b8fadd04b4dba01f35f22b63c09","target":"graph","created_at":"2026-05-26T01:03:50Z","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/2605.24635/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical large language models hold promise for reducing healthcare disparities, yet Hindi remains severely underrepresented. While medical LLMs excel in high-resource languages, their performance degrades sharply in Hindi, particularly on Indian systems of medicine. We argue that robust cross-lingual medical transfer requires Hindi reasoning. To this end, we introduce HiMed, a Hindi reasoning medical corpus and benchmark suite covering both Western and Indian medicine. We further propose HiMed-8B, a Hindi-form medical reasoning LLM, through the design of decaying scaffolding reward. Extensive ","authors_text":"Amit Kumar Jaiswal, Ang Li, Benyou Wang, Chenze Ma, Dingfeng Jiang, Fan Bu, Han Yan, Hongru Xiao, Jiale Han, Juhao Liang, Prayag Tiwari, Ruchir Gupta, Xiang Li, Xinlei Xiong, Yunxiang Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T15:51:04Z","title":"HiMed: Incentivizing Hindi Reasoning in Medical LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24635","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:c60a8737490c6e6a2c5bb49b31ce0d83f7e9a482d83f9d514b7bb2227a8deff4","target":"record","created_at":"2026-05-26T01:03:50Z","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":"8a9aa897997fa3f6af9ecbb8dca94f2081c22f7b87a6e32f9e3905266c84d3fc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T15:51:04Z","title_canon_sha256":"bcadae7f57baac7e4cf4065967880f67182fcc4b0327b30679f158927839f2ec"},"schema_version":"1.0","source":{"id":"2605.24635","kind":"arxiv","version":1}},"canonical_sha256":"e7825affb73d9e87e6b2e6897363050be51afc6caf35e968b7f2418944db0479","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7825affb73d9e87e6b2e6897363050be51afc6caf35e968b7f2418944db0479","first_computed_at":"2026-05-26T01:03:50.256276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:50.256276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PqlvY9H78e0eugTf6N6Ot2nVqGzeJMDfR2/eWk6hioF31V3cuXHzx0xWCdcYfCWDsuFX1dA4iLILBcPfYMCMBA==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:50.257167Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24635","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c60a8737490c6e6a2c5bb49b31ce0d83f7e9a482d83f9d514b7bb2227a8deff4","sha256:626e8660ffb51096c8c4348350ab0ee3cc995b8fadd04b4dba01f35f22b63c09"],"state_sha256":"76ae111c7251aab0d71cb38d850ccdad1f70c3eecb31da48a83a4803f4739159"}