{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:RWQMUDRXJQKP2JHDL2L5FDYIWC","short_pith_number":"pith:RWQMUDRX","schema_version":"1.0","canonical_sha256":"8da0ca0e374c14fd24e35e97d28f08b081e38b446b6f4c0bc8928b2a041faae2","source":{"kind":"arxiv","id":"2305.09975","version":1},"attestation_state":"computed","paper":{"title":"Smart Word Suggestions for Writing Assistance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chenshuo Wang, Dongyan Zhao, Jonathan Tien, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia","submitted_at":"2023-05-17T06:15:41Z","abstract_excerpt":"Enhancing word usage is a desired feature for writing assistance. To further advance research in this area, this paper introduces \"Smart Word Suggestions\" (SWS) task and benchmark. Unlike other works, SWS emphasizes end-to-end evaluation and presents a more realistic writing assistance scenario. This task involves identifying words or phrases that require improvement and providing substitution suggestions. The benchmark includes human-labeled data for testing, a large distantly supervised dataset for training, and the framework for evaluation. The test data includes 1,000 sentences written by "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2305.09975","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-17T06:15:41Z","cross_cats_sorted":[],"title_canon_sha256":"5a370c6d8abc2266eac6740f86f748e7927941bf54fa5db0af3d6c5d4fa23c6c","abstract_canon_sha256":"1c67789f786124fb058d97b9aa151f526186d126de420d1cf71a3abed0b68d11"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:11:07.953781Z","signature_b64":"64ZTwfspyI+rybGVe6BUOv8Vdc7mZ/uRXy+JcgeB/OuOIY2By9zEkU/sIYQdNAhdlSA/0s+QZNPE5HqfyGfmBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8da0ca0e374c14fd24e35e97d28f08b081e38b446b6f4c0bc8928b2a041faae2","last_reissued_at":"2026-07-05T06:11:07.953371Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:11:07.953371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Smart Word Suggestions for Writing Assistance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chenshuo Wang, Dongyan Zhao, Jonathan Tien, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia","submitted_at":"2023-05-17T06:15:41Z","abstract_excerpt":"Enhancing word usage is a desired feature for writing assistance. To further advance research in this area, this paper introduces \"Smart Word Suggestions\" (SWS) task and benchmark. Unlike other works, SWS emphasizes end-to-end evaluation and presents a more realistic writing assistance scenario. This task involves identifying words or phrases that require improvement and providing substitution suggestions. The benchmark includes human-labeled data for testing, a large distantly supervised dataset for training, and the framework for evaluation. The test data includes 1,000 sentences written by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09975","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.09975/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2305.09975","created_at":"2026-07-05T06:11:07.953428+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.09975v1","created_at":"2026-07-05T06:11:07.953428+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09975","created_at":"2026-07-05T06:11:07.953428+00:00"},{"alias_kind":"pith_short_12","alias_value":"RWQMUDRXJQKP","created_at":"2026-07-05T06:11:07.953428+00:00"},{"alias_kind":"pith_short_16","alias_value":"RWQMUDRXJQKP2JHD","created_at":"2026-07-05T06:11:07.953428+00:00"},{"alias_kind":"pith_short_8","alias_value":"RWQMUDRX","created_at":"2026-07-05T06:11:07.953428+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.17200","citing_title":"Calibrating Model-Based Evaluation Metrics for Summarization","ref_index":12,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC","json":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC.json","graph_json":"https://pith.science/api/pith-number/RWQMUDRXJQKP2JHDL2L5FDYIWC/graph.json","events_json":"https://pith.science/api/pith-number/RWQMUDRXJQKP2JHDL2L5FDYIWC/events.json","paper":"https://pith.science/paper/RWQMUDRX"},"agent_actions":{"view_html":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC","download_json":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC.json","view_paper":"https://pith.science/paper/RWQMUDRX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.09975&json=true","fetch_graph":"https://pith.science/api/pith-number/RWQMUDRXJQKP2JHDL2L5FDYIWC/graph.json","fetch_events":"https://pith.science/api/pith-number/RWQMUDRXJQKP2JHDL2L5FDYIWC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC/action/storage_attestation","attest_author":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC/action/author_attestation","sign_citation":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC/action/citation_signature","submit_replication":"https://pith.science/pith/RWQMUDRXJQKP2JHDL2L5FDYIWC/action/replication_record"}},"created_at":"2026-07-05T06:11:07.953428+00:00","updated_at":"2026-07-05T06:11:07.953428+00:00"}