{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GEKXONJS2CVJNDPLQH3WKFKTLQ","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":"24ada9dc3a1b5245a0091153777b006a0a3f08f6e874431002b0044d699ced0c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T05:49:49Z","title_canon_sha256":"12eb74cd7196a6e0ae0e7a4759747bea1add1485bd14ce8307901199a1db4561"},"schema_version":"1.0","source":{"id":"2509.01147","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01147","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01147v1","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01147","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_12","alias_value":"GEKXONJS2CVJ","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_16","alias_value":"GEKXONJS2CVJNDPL","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_8","alias_value":"GEKXONJS","created_at":"2026-07-05T12:02:54Z"}],"graph_snapshots":[{"event_id":"sha256:6c69a6c7930d9a5f9e3e88d0ab12f15e80e4542a6611c810a57cf183c8b00778","target":"graph","created_at":"2026-07-05T12:02:54Z","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/2509.01147/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-lingual Named Entity Recognition (CL-NER) aims to transfer knowledge from high-resource languages to low-resource languages. However, existing zero-shot CL-NER (ZCL-NER) approaches primarily focus on Latin script language (LSL), where shared linguistic features facilitate effective knowledge transfer. In contrast, for non-Latin script language (NSL), such as Chinese and Japanese, performance often degrades due to deep structural differences. To address these challenges, we propose an entity-aligned translation (EAT) approach. Leveraging large language models (LLMs), EAT employs a dual-tr","authors_text":"Dong Zhang, Guodong Zhou, Shoushan Li, Sophia Yat Mei Lee, Zhihao Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T05:49:49Z","title":"Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01147","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":"sha256:897c60479494bd06fb82d187e8ac769931d70c7ecbe09e01bb0f5e81fe7d9dd2","target":"record","created_at":"2026-07-05T12:02:54Z","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":"24ada9dc3a1b5245a0091153777b006a0a3f08f6e874431002b0044d699ced0c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T05:49:49Z","title_canon_sha256":"12eb74cd7196a6e0ae0e7a4759747bea1add1485bd14ce8307901199a1db4561"},"schema_version":"1.0","source":{"id":"2509.01147","kind":"arxiv","version":1}},"canonical_sha256":"3115773532d0aa968deb81f76515535c16e7bad724160dec25d4e7b84d19bbff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3115773532d0aa968deb81f76515535c16e7bad724160dec25d4e7b84d19bbff","first_computed_at":"2026-07-05T12:02:54.835298Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:54.835298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kpy1+yVIGW4NJnOCJyG+lPF0F5pMejSvLnsySRgcvjOMKgwn5qRDl9FMtAOVEc6gXK5ejhHy+psSYjTWFEM2CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:54.835814Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01147","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:897c60479494bd06fb82d187e8ac769931d70c7ecbe09e01bb0f5e81fe7d9dd2","sha256:6c69a6c7930d9a5f9e3e88d0ab12f15e80e4542a6611c810a57cf183c8b00778"],"state_sha256":"1689b551711798e782fc638e1e6ee2cf11e547027a822b945912f4e28858b15e"}