{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Q7IMZ7HMTYXYOV2Z25LI2HOXX5","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":"b926a449a1c0a25a5cbb3e56aeb74735c8802139ea1f1aca984aca83c48dc395","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-01-15T12:39:20Z","title_canon_sha256":"8f98968879622361d10dcb9f71a9b50d01da6576769108efd37cda66a95e8b6f"},"schema_version":"1.0","source":{"id":"2001.05272","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.05272","created_at":"2026-07-05T01:41:16Z"},{"alias_kind":"arxiv_version","alias_value":"2001.05272v6","created_at":"2026-07-05T01:41:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.05272","created_at":"2026-07-05T01:41:16Z"},{"alias_kind":"pith_short_12","alias_value":"Q7IMZ7HMTYXY","created_at":"2026-07-05T01:41:16Z"},{"alias_kind":"pith_short_16","alias_value":"Q7IMZ7HMTYXYOV2Z","created_at":"2026-07-05T01:41:16Z"},{"alias_kind":"pith_short_8","alias_value":"Q7IMZ7HM","created_at":"2026-07-05T01:41:16Z"}],"graph_snapshots":[{"event_id":"sha256:3d95f2d505f5742bcb3a45123daf525b3d66482630a09ac76a60c7eb8345f30c","target":"graph","created_at":"2026-07-05T01:41:16Z","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/2001.05272/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Chinese NER is a challenging task. As pictographs, Chinese characters contain latent glyph information, which is often overlooked. In this paper, we propose the FGN, Fusion Glyph Network for Chinese NER. Except for adding glyph information, this method may also add extra interactive information with the fusion mechanism. The major innovations of FGN include: (1) a novel CNN structure called CGS-CNN is proposed to capture both glyph information and interactive information between glyphs from neighboring characters. (2) we provide a method with sliding window and Slice-Attention to fuse the BERT","authors_text":"Rui Bao, Shengyi Jiang, Zhenyu Xuan","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-01-15T12:39:20Z","title":"FGN: Fusion Glyph Network for Chinese Named Entity Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.05272","kind":"arxiv","version":6},"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:c86ee754f2e4c58f19e7843e7f1147db0145a2f487e9aeb0f074d852a102283b","target":"record","created_at":"2026-07-05T01:41:16Z","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":"b926a449a1c0a25a5cbb3e56aeb74735c8802139ea1f1aca984aca83c48dc395","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-01-15T12:39:20Z","title_canon_sha256":"8f98968879622361d10dcb9f71a9b50d01da6576769108efd37cda66a95e8b6f"},"schema_version":"1.0","source":{"id":"2001.05272","kind":"arxiv","version":6}},"canonical_sha256":"87d0ccfcec9e2f875759d7568d1dd7bf40f375f5b0e444a7283f353fe9e06ff5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87d0ccfcec9e2f875759d7568d1dd7bf40f375f5b0e444a7283f353fe9e06ff5","first_computed_at":"2026-07-05T01:41:16.347606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:41:16.347606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HAQ6hULxliEjYqwKOZqpMiaSX5qAi+/UpnyCs2ZekHtbjnJahaHuekN0Gdha0h1LaAjfEPlXc3bMw/zxysVLAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:41:16.348028Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.05272","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c86ee754f2e4c58f19e7843e7f1147db0145a2f487e9aeb0f074d852a102283b","sha256:3d95f2d505f5742bcb3a45123daf525b3d66482630a09ac76a60c7eb8345f30c"],"state_sha256":"7e6d4284095ec55c163444523da8ec70c7b563afe6375e6e83ecdea81a32abd0"}