{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YRL4JS5WSU3HJ5OJ35GPXVDR4W","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":"a83f91a40f3dbb8be604025d46f55f355149d140a993904c5261b470e63b3db5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-14T10:52:21Z","title_canon_sha256":"5fc3a3584aad52b89ddb6eaf27e6749b3f9a6ee458774f385c703cc4840ca04a"},"schema_version":"1.0","source":{"id":"1606.04300","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.04300","created_at":"2026-05-18T00:56:04Z"},{"alias_kind":"arxiv_version","alias_value":"1606.04300v2","created_at":"2026-05-18T00:56:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.04300","created_at":"2026-05-18T00:56:04Z"},{"alias_kind":"pith_short_12","alias_value":"YRL4JS5WSU3H","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YRL4JS5WSU3HJ5OJ","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YRL4JS5W","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:36d08a6621e938c12ddb0e3fdfbb2524ca9238d962790ebaf96756d36eb2ecc0","target":"graph","created_at":"2026-05-18T00:56:04Z","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"},"paper":{"abstract_excerpt":"Most previous approaches to Chinese word segmentation formalize this problem as a character-based sequence labeling task where only contextual information within fixed sized local windows and simple interactions between adjacent tags can be captured. In this paper, we propose a novel neural framework which thoroughly eliminates context windows and can utilize complete segmentation history. Our model employs a gated combination neural network over characters to produce distributed representations of word candidates, which are then given to a long short-term memory (LSTM) language scoring model.","authors_text":"Deng Cai, Hai Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-14T10:52:21Z","title":"Neural Word Segmentation Learning for Chinese"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.04300","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":"sha256:59f173a7c53492b79a6ec0118ef21efdfd298115e8c03e789f2025e818c079fd","target":"record","created_at":"2026-05-18T00:56:04Z","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":"a83f91a40f3dbb8be604025d46f55f355149d140a993904c5261b470e63b3db5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-14T10:52:21Z","title_canon_sha256":"5fc3a3584aad52b89ddb6eaf27e6749b3f9a6ee458774f385c703cc4840ca04a"},"schema_version":"1.0","source":{"id":"1606.04300","kind":"arxiv","version":2}},"canonical_sha256":"c457c4cbb6953674f5c9df4cfbd471e58a2b3f79f21e895b67ff55cf540d32de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c457c4cbb6953674f5c9df4cfbd471e58a2b3f79f21e895b67ff55cf540d32de","first_computed_at":"2026-05-18T00:56:04.269439Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:56:04.269439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OgOv4t574iIzEqU7mWyTl8CrIW9P0tNxnKm0fWsZAH1jx/EHlbt6h9KXYJVluNE/ucr+IIZf0UCsl0h19jCvDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:56:04.269943Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.04300","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59f173a7c53492b79a6ec0118ef21efdfd298115e8c03e789f2025e818c079fd","sha256:36d08a6621e938c12ddb0e3fdfbb2524ca9238d962790ebaf96756d36eb2ecc0"],"state_sha256":"0b56cad2815a3f4e3aaaa1be2dfbc1dfd74069ca29055b07375e7a6cd2638265"}