{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OBXZXDY5EMYXI2XSD66GNMRQSV","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":"fd365b6faa4f020ba3ee17fd0086b8e72b946a02dd974b4cfe91669a8e280a56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-11T06:17:08Z","title_canon_sha256":"aa56611409fffd1fc47cc4cdc58e09267a0b502201a1ccf1ba5075d1a9468228"},"schema_version":"1.0","source":{"id":"2407.08206","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.08206","created_at":"2026-07-05T08:42:44Z"},{"alias_kind":"arxiv_version","alias_value":"2407.08206v1","created_at":"2026-07-05T08:42:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.08206","created_at":"2026-07-05T08:42:44Z"},{"alias_kind":"pith_short_12","alias_value":"OBXZXDY5EMYX","created_at":"2026-07-05T08:42:44Z"},{"alias_kind":"pith_short_16","alias_value":"OBXZXDY5EMYXI2XS","created_at":"2026-07-05T08:42:44Z"},{"alias_kind":"pith_short_8","alias_value":"OBXZXDY5","created_at":"2026-07-05T08:42:44Z"}],"graph_snapshots":[{"event_id":"sha256:945468372bb588a15bf187c109a81edfdf20d380663daeb75afc7097134619df","target":"graph","created_at":"2026-07-05T08:42:44Z","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/2407.08206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This system report presents our approaches and results for the Chinese Essay Fluency Evaluation (CEFE) task at CCL-2024. For Track 1, we optimized predictions for challenging fine-grained error types using binary classification models and trained coarse-grained models on the Chinese Learner 4W corpus. In Track 2, we enhanced performance by constructing a pseudo-dataset with multiple error types per sentence. For Track 3, where we achieved first place, we generated fluency-rated pseudo-data via back-translation for pre-training and used an NSP-based strategy with Symmetric Cross Entropy loss to","authors_text":"Jingshen Zhang, Tianyou Huang, Xiangyu Yang, Xinglu Chen, Xinkai Su, Xinying Qiu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-11T06:17:08Z","title":"System Report for CCL24-Eval Task 7: Multi-Error Modeling and Fluency-Targeted Pre-training for Chinese Essay Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.08206","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:fbac2bf4bcac74075e43528620f4bf3a685cb99f4d963378aa08c2b30a689c38","target":"record","created_at":"2026-07-05T08:42:44Z","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":"fd365b6faa4f020ba3ee17fd0086b8e72b946a02dd974b4cfe91669a8e280a56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-11T06:17:08Z","title_canon_sha256":"aa56611409fffd1fc47cc4cdc58e09267a0b502201a1ccf1ba5075d1a9468228"},"schema_version":"1.0","source":{"id":"2407.08206","kind":"arxiv","version":1}},"canonical_sha256":"706f9b8f1d2331746af21fbc66b230955850fb0c72989d43d6939e4a8f81ac2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"706f9b8f1d2331746af21fbc66b230955850fb0c72989d43d6939e4a8f81ac2a","first_computed_at":"2026-07-05T08:42:44.800365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:42:44.800365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fqWPhoamcyN2JmYWxrYz0mr8+KkdWrlIUkQKpYKLQE+CGfTUKTMRDyDHHCp2JS5yD/ryOLONfilj/NuCxopSDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:42:44.800769Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.08206","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbac2bf4bcac74075e43528620f4bf3a685cb99f4d963378aa08c2b30a689c38","sha256:945468372bb588a15bf187c109a81edfdf20d380663daeb75afc7097134619df"],"state_sha256":"7e9408e3be4d1e9ee899db0e83c6a1195d7014472553a3f7d3f3def8e5da0468"}