{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:65CMB6FXQZOAHUIFTWXWQCIPLH","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":"f7dc3aed3bfd963da8c3126353ca1948a730a654bf87bfc74840d85796e64aa4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-03-20T14:17:16Z","title_canon_sha256":"d5bf608f2f3a4ea2116e30c00aaccc391c0ff3cf61f19d8c4d24f1f8951ae94f"},"schema_version":"1.0","source":{"id":"2003.09288","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.09288","created_at":"2026-07-05T00:50:29Z"},{"alias_kind":"arxiv_version","alias_value":"2003.09288v2","created_at":"2026-07-05T00:50:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.09288","created_at":"2026-07-05T00:50:29Z"},{"alias_kind":"pith_short_12","alias_value":"65CMB6FXQZOA","created_at":"2026-07-05T00:50:29Z"},{"alias_kind":"pith_short_16","alias_value":"65CMB6FXQZOAHUIF","created_at":"2026-07-05T00:50:29Z"},{"alias_kind":"pith_short_8","alias_value":"65CMB6FX","created_at":"2026-07-05T00:50:29Z"}],"graph_snapshots":[{"event_id":"sha256:208242770815d606a91755dfb766ff61839eb01e6f68e87152577bf23c4db44b","target":"graph","created_at":"2026-07-05T00:50:29Z","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/2003.09288/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical named entity recognition (NER) has wide applications in intelligent healthcare. Sufficient labeled data is critical for training accurate medical NER model. However, the labeled data in a single medical platform is usually limited. Although labeled datasets may exist in many different medical platforms, they cannot be directly shared since medical data is highly privacy-sensitive. In this paper, we propose a privacy-preserving medical NER method based on federated learning, which can leverage the labeled data in different platforms to boost the training of medical NER model and remove ","authors_text":"Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Xing Xie, Yongfeng Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-03-20T14:17:16Z","title":"FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.09288","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":"sha256:7cc8ab286cd249322c9b33ca7d21bac0eef07831f32e458208b9ac31ec734d55","target":"record","created_at":"2026-07-05T00:50:29Z","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":"f7dc3aed3bfd963da8c3126353ca1948a730a654bf87bfc74840d85796e64aa4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-03-20T14:17:16Z","title_canon_sha256":"d5bf608f2f3a4ea2116e30c00aaccc391c0ff3cf61f19d8c4d24f1f8951ae94f"},"schema_version":"1.0","source":{"id":"2003.09288","kind":"arxiv","version":2}},"canonical_sha256":"f744c0f8b7865c03d1059daf68090f59dd05fcd8a09c1bed177523e7a06d3665","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f744c0f8b7865c03d1059daf68090f59dd05fcd8a09c1bed177523e7a06d3665","first_computed_at":"2026-07-05T00:50:29.983097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:50:29.983097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d1/fXpt5RUiymQDJ0m2NRjko6TzySCX/TatKq7up0V7Vm7W6xoUQPAp+haCiSIm/mHsqwjqlrCVBf06p3mj4CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:50:29.983583Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.09288","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cc8ab286cd249322c9b33ca7d21bac0eef07831f32e458208b9ac31ec734d55","sha256:208242770815d606a91755dfb766ff61839eb01e6f68e87152577bf23c4db44b"],"state_sha256":"f7dbb9a23727bc1630cb53e29d9589d42894816cf40debb0e4d315ccdec6718b"}