{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SUPDWKY2NR4EZ2AYEMZPNWJ47S","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":"bd22ad363c61f925d61939711bf3590dc27634c1d1701106f89a98db1777c86a","cross_cats_sorted":["cs.CL","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-02T02:56:25Z","title_canon_sha256":"2912498eca910aabe15633c3844089a545cf8465ceac7cf8952684bc5df04929"},"schema_version":"1.0","source":{"id":"1809.01478","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01478","created_at":"2026-05-18T00:05:55Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01478v2","created_at":"2026-05-18T00:05:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01478","created_at":"2026-05-18T00:05:55Z"},{"alias_kind":"pith_short_12","alias_value":"SUPDWKY2NR4E","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SUPDWKY2NR4EZ2AY","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SUPDWKY2","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:1caf1c5e6700ff0c8b38f3a0b5d5b143e8cb0389c19f8ae8a36dd4ef5b3e7cf5","target":"graph","created_at":"2026-05-18T00:05:55Z","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":"Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering. Despite such attractiveness, neural text classification models suffer from the lack of training data in many real-world applications. Although many semi-supervised and weakly-supervised text classification models exist, they cannot be easily applied to deep neural models and meanwhile support limited supervision types. In this paper, we propose a weakly-supervised method that addresses the lack of training data in ne","authors_text":"Chao Zhang, Jiaming Shen, Jiawei Han, Yu Meng","cross_cats":["cs.CL","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-02T02:56:25Z","title":"Weakly-Supervised Neural Text Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01478","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":"sha256:0cda03bf6541d3a826ed62146f826ff9f3e388b159628c0b4b0e5ac84550f4ba","target":"record","created_at":"2026-05-18T00:05:55Z","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":"bd22ad363c61f925d61939711bf3590dc27634c1d1701106f89a98db1777c86a","cross_cats_sorted":["cs.CL","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-02T02:56:25Z","title_canon_sha256":"2912498eca910aabe15633c3844089a545cf8465ceac7cf8952684bc5df04929"},"schema_version":"1.0","source":{"id":"1809.01478","kind":"arxiv","version":2}},"canonical_sha256":"951e3b2b1a6c784ce8182332f6d93cfc98356e06fcd1bdcec9139f6999a4b980","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"951e3b2b1a6c784ce8182332f6d93cfc98356e06fcd1bdcec9139f6999a4b980","first_computed_at":"2026-05-18T00:05:55.657805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:55.657805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A+oPOxVAZjDQAVKGzYX9FoHTAD2BoLU2Dawsu16lhzEzYCwJol4jf/856u89nhSScDGCebSGVWnPN6d1tIqnDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:55.658438Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01478","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cda03bf6541d3a826ed62146f826ff9f3e388b159628c0b4b0e5ac84550f4ba","sha256:1caf1c5e6700ff0c8b38f3a0b5d5b143e8cb0389c19f8ae8a36dd4ef5b3e7cf5"],"state_sha256":"d9a48cc8d55b3f8a11a8630c8981f0998977aca490c73660fa5c04fdabe7e6b5"}