{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FGTRPRPQMGKTPDORZYRVUHN6G3","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":"d0e2d8b2ba564e7da7dc5f48302a0087dc9f9fa644183e19735d44ec5399a8bb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-20T07:02:35Z","title_canon_sha256":"17917b49465aeaf3f79cfbdf61c3b3d65f848eefd59723d77c1ecb5007e684d2"},"schema_version":"1.0","source":{"id":"2311.11564","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11564","created_at":"2026-07-05T07:14:35Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11564v1","created_at":"2026-07-05T07:14:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11564","created_at":"2026-07-05T07:14:35Z"},{"alias_kind":"pith_short_12","alias_value":"FGTRPRPQMGKT","created_at":"2026-07-05T07:14:35Z"},{"alias_kind":"pith_short_16","alias_value":"FGTRPRPQMGKTPDOR","created_at":"2026-07-05T07:14:35Z"},{"alias_kind":"pith_short_8","alias_value":"FGTRPRPQ","created_at":"2026-07-05T07:14:35Z"}],"graph_snapshots":[{"event_id":"sha256:3bd98c5982c7e233ce604d436a98c01687c56ab87dad8f29ccc7d75f7c4a8837","target":"graph","created_at":"2026-07-05T07:14:35Z","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/2311.11564/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most biomedical pretrained language models are monolingual and cannot handle the growing cross-lingual requirements. The scarcity of non-English domain corpora, not to mention parallel data, poses a significant hurdle in training multilingual biomedical models. Since knowledge forms the core of domain-specific corpora and can be translated into various languages accurately, we propose a model called KBioXLM, which transforms the multilingual pretrained model XLM-R into the biomedical domain using a knowledge-anchored approach. We achieve a biomedical multilingual corpus by incorporating three ","authors_text":"Juntao Li, Jun Zhang, Lei Geng, Sujian Li, Wenjie Li, Xinjie Zhou, Xu Yan, Yang Yang, Ziqiang Cao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-20T07:02:35Z","title":"KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11564","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:b0994f694c5f6cf06d1c95e7c2bfc445702a1647d73d2df457bcfc97b0a2a625","target":"record","created_at":"2026-07-05T07:14:35Z","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":"d0e2d8b2ba564e7da7dc5f48302a0087dc9f9fa644183e19735d44ec5399a8bb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-20T07:02:35Z","title_canon_sha256":"17917b49465aeaf3f79cfbdf61c3b3d65f848eefd59723d77c1ecb5007e684d2"},"schema_version":"1.0","source":{"id":"2311.11564","kind":"arxiv","version":1}},"canonical_sha256":"29a717c5f06195378dd1ce235a1dbe36cae4129fd78a1ea1ba9c52208a6d3ea9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29a717c5f06195378dd1ce235a1dbe36cae4129fd78a1ea1ba9c52208a6d3ea9","first_computed_at":"2026-07-05T07:14:35.546275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:35.546275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ndYhrZc8HwdJpZwIe05p83mPyKn0Cc3PuQ/DX5ietu5nQ/ZCohl2j8t5UmZ9AkGmu5vdrLC9aRurSjXwGn37Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:35.546771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.11564","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0994f694c5f6cf06d1c95e7c2bfc445702a1647d73d2df457bcfc97b0a2a625","sha256:3bd98c5982c7e233ce604d436a98c01687c56ab87dad8f29ccc7d75f7c4a8837"],"state_sha256":"beb4a01756298e3c21780e641ce57f832700c2fc52a5e1bbcf74538a538dbdc9"}