{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UHPEVDIUN2X6EMCD5QECKJQZJ4","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":"70ce204ae2e3c2fbbe60d770d7aa2b103eae7385ff0ae860d5ce7b36d12ef74a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-17T07:30:05Z","title_canon_sha256":"d9f634ef9b01280360145a390b594b433528e74bce77a8d33dd634bda999e596"},"schema_version":"1.0","source":{"id":"2203.09136","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.09136","created_at":"2026-07-05T04:06:07Z"},{"alias_kind":"arxiv_version","alias_value":"2203.09136v1","created_at":"2026-07-05T04:06:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.09136","created_at":"2026-07-05T04:06:07Z"},{"alias_kind":"pith_short_12","alias_value":"UHPEVDIUN2X6","created_at":"2026-07-05T04:06:07Z"},{"alias_kind":"pith_short_16","alias_value":"UHPEVDIUN2X6EMCD","created_at":"2026-07-05T04:06:07Z"},{"alias_kind":"pith_short_8","alias_value":"UHPEVDIU","created_at":"2026-07-05T04:06:07Z"}],"graph_snapshots":[{"event_id":"sha256:45c395d84dca363624c2a92df617fb5791b98c721bd8ef79400c7f1741a000fe","target":"graph","created_at":"2026-07-05T04:06:07Z","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/2203.09136/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Grammatical Error Correction (GEC) aims to automatically detect and correct grammatical errors. In this aspect, dominant models are trained by one-iteration learning while performing multiple iterations of corrections during inference. Previous studies mainly focus on the data augmentation approach to combat the exposure bias, which suffers from two drawbacks. First, they simply mix additionally-constructed training instances and original ones to train models, which fails to help models be explicitly aware of the procedure of gradual corrections. Second, they ignore the interdependence between","authors_text":"Chao Li, Jiali Zeng, Jinsong Su, Qingyu Zhou, Shaopeng Lai, Yunbo Cao, Zhongli Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-17T07:30:05Z","title":"Type-Driven Multi-Turn Corrections for Grammatical Error Correction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.09136","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":"sha256:3b1ad30520b54fd7139c8375553737078852636861f54705028a9b32576a630e","target":"record","created_at":"2026-07-05T04:06:07Z","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":"70ce204ae2e3c2fbbe60d770d7aa2b103eae7385ff0ae860d5ce7b36d12ef74a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-17T07:30:05Z","title_canon_sha256":"d9f634ef9b01280360145a390b594b433528e74bce77a8d33dd634bda999e596"},"schema_version":"1.0","source":{"id":"2203.09136","kind":"arxiv","version":1}},"canonical_sha256":"a1de4a8d146eafe23043ec082526194f39962ae511633eb96a7217458175949e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1de4a8d146eafe23043ec082526194f39962ae511633eb96a7217458175949e","first_computed_at":"2026-07-05T04:06:07.870481Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:06:07.870481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jXEnAchjg1vALfRLgwbBM3gMxjTAjRw/tTjYmBNP/swF5eaQVntNGqp1EKRZoUdaoQNE2n3DPrbU8XJFSB3ECQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:06:07.870957Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.09136","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b1ad30520b54fd7139c8375553737078852636861f54705028a9b32576a630e","sha256:45c395d84dca363624c2a92df617fb5791b98c721bd8ef79400c7f1741a000fe"],"state_sha256":"c9fee1078071e731be14c7deae00e6e2717d863a20dd00b988900b36c8383a87"}