{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H2YYMADVDYQPDV2PDYUUSGHRGW","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":"97bc373c11f2cc9b0a59076b8c14dee66674804607c3da00b933a5001f60e10b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:02:29Z","title_canon_sha256":"9fdfb745a164fe1442306cbe56bc7538780a8f974918bf453577adff3605a696"},"schema_version":"1.0","source":{"id":"2402.10573","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10573","created_at":"2026-07-05T09:52:59Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10573v3","created_at":"2026-07-05T09:52:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10573","created_at":"2026-07-05T09:52:59Z"},{"alias_kind":"pith_short_12","alias_value":"H2YYMADVDYQP","created_at":"2026-07-05T09:52:59Z"},{"alias_kind":"pith_short_16","alias_value":"H2YYMADVDYQPDV2P","created_at":"2026-07-05T09:52:59Z"},{"alias_kind":"pith_short_8","alias_value":"H2YYMADV","created_at":"2026-07-05T09:52:59Z"}],"graph_snapshots":[{"event_id":"sha256:aaad12b6c126e8c74ef2d7be5a2f3fa48e80993d0f1a8dc40347a9083a29c1ba","target":"graph","created_at":"2026-07-05T09:52:59Z","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/2402.10573/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Named Entity Recognition (NER) serves as a fundamental task in natural language understanding, bearing direct implications for web content analysis, search engines, and information retrieval systems. Fine-tuned NER models exhibit satisfactory performance on standard NER benchmarks. However, due to limited fine-tuning data and lack of knowledge, it performs poorly on unseen entity recognition. As a result, the usability and reliability of NER models in web-related applications are compromised. Instead, Large Language Models (LLMs) like GPT-4 possess extensive external knowledge, but research in","authors_text":"Hang Gao, Mengting Hu, Yuhua Zhao, Zhen Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:02:29Z","title":"LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10573","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:b5e376858968a736b1f16d6423a469bcbe1eda39a3cedacddf217ba48aab7bef","target":"record","created_at":"2026-07-05T09:52:59Z","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":"97bc373c11f2cc9b0a59076b8c14dee66674804607c3da00b933a5001f60e10b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:02:29Z","title_canon_sha256":"9fdfb745a164fe1442306cbe56bc7538780a8f974918bf453577adff3605a696"},"schema_version":"1.0","source":{"id":"2402.10573","kind":"arxiv","version":3}},"canonical_sha256":"3eb18600751e20f1d74f1e294918f135b28096e76ac0fbbca45b44cc382753fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3eb18600751e20f1d74f1e294918f135b28096e76ac0fbbca45b44cc382753fc","first_computed_at":"2026-07-05T09:52:59.383640Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:59.383640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dzg7DGA+ivXnB/mn4hk2P5YFZh9MDHjf2JDyoV1qClXWPKlaegHoTr+iisi9UyCKslsS7wn1SJmOF5OnPO7TCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:59.384061Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10573","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5e376858968a736b1f16d6423a469bcbe1eda39a3cedacddf217ba48aab7bef","sha256:aaad12b6c126e8c74ef2d7be5a2f3fa48e80993d0f1a8dc40347a9083a29c1ba"],"state_sha256":"e76360c24218203e552710cf45ed63f82f9ffcc26b04e49643866044ec4fcc77"}