{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RCLXNP2SWIAEQLSQLSTAL7BRLU","short_pith_number":"pith:RCLXNP2S","canonical_record":{"source":{"id":"2303.13648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-15T00:35:50Z","cross_cats_sorted":[],"title_canon_sha256":"76a4fd310903f5b69e919cb0012d7e2873a6f02cfe8f1193477a8e69b56e86d1","abstract_canon_sha256":"56277f92a94577d8d695f197d6953b4332171fd6cd3835d251a8bf407e4f5254"},"schema_version":"1.0"},"canonical_sha256":"889776bf52b200482e505ca605fc315d2fef6f9400683e65063dcab1c4068764","source":{"kind":"arxiv","id":"2303.13648","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.13648","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"arxiv_version","alias_value":"2303.13648v1","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13648","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"pith_short_12","alias_value":"RCLXNP2SWIAE","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"pith_short_16","alias_value":"RCLXNP2SWIAEQLSQ","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"pith_short_8","alias_value":"RCLXNP2S","created_at":"2026-07-05T05:54:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RCLXNP2SWIAEQLSQLSTAL7BRLU","target":"record","payload":{"canonical_record":{"source":{"id":"2303.13648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-15T00:35:50Z","cross_cats_sorted":[],"title_canon_sha256":"76a4fd310903f5b69e919cb0012d7e2873a6f02cfe8f1193477a8e69b56e86d1","abstract_canon_sha256":"56277f92a94577d8d695f197d6953b4332171fd6cd3835d251a8bf407e4f5254"},"schema_version":"1.0"},"canonical_sha256":"889776bf52b200482e505ca605fc315d2fef6f9400683e65063dcab1c4068764","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:54:17.447831Z","signature_b64":"iNa19W5Mu3F+3HAyZtrpSLI5OzY+HDE8+OeSsLlDrze0GOYMZp0pdugXgctUeoAhHC/A4EJF9DTYDAPhcIQ4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"889776bf52b200482e505ca605fc315d2fef6f9400683e65063dcab1c4068764","last_reissued_at":"2026-07-05T05:54:17.447291Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:54:17.447291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.13648","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:54:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JjeU3ceFpPMuawHSn2Wuil31LpSd/SLHECIkRkEcJfRjs88D1AdgNH6BLLcyIXdu1H2Ohy5ofjBcpA7hzlTwDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:41:38.626680Z"},"content_sha256":"f2051cc8b20388a416f31711ac298077372c8adc475596f74b53a49bc6c7b922","schema_version":"1.0","event_id":"sha256:f2051cc8b20388a416f31711ac298077372c8adc475596f74b53a49bc6c7b922"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RCLXNP2SWIAEQLSQLSTAL7BRLU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Haoran Wu, Michael Lyu, Wenxiang Jiao, Wenxuan Wang, Yuxuan Wan","submitted_at":"2023-03-15T00:35:50Z","abstract_excerpt":"ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions. In this report, we aim to evaluate ChatGPT on the Grammatical Error Correction(GEC) task, and compare it with commercial GEC product (e.g., Grammarly) and state-of-the-art models (e.g., GECToR). By testing on the CoNLL2014 benchmark dataset, we find that ChatGPT performs not as well as those baselines in terms of the automatic evaluation metrics (e.g., $F_{0.5}$ score), particularly on long sentence"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13648","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/2303.13648/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:54:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KM/E2lHYuHw7CrNZvXuBH+6GP83SGHsPafx/35CTMfAdVfyi22R762Q/riNJ/7922+FuhGrnUpDTFOaNO8DzDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:41:38.627046Z"},"content_sha256":"330b911a9da501377370b216f4108993303554fc7fe7fce23fc4f222d7586e65","schema_version":"1.0","event_id":"sha256:330b911a9da501377370b216f4108993303554fc7fe7fce23fc4f222d7586e65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU/bundle.json","state_url":"https://pith.science/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T19:41:38Z","links":{"resolver":"https://pith.science/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU","bundle":"https://pith.science/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU/bundle.json","state":"https://pith.science/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RCLXNP2SWIAEQLSQLSTAL7BRLU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RCLXNP2SWIAEQLSQLSTAL7BRLU","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":"56277f92a94577d8d695f197d6953b4332171fd6cd3835d251a8bf407e4f5254","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-15T00:35:50Z","title_canon_sha256":"76a4fd310903f5b69e919cb0012d7e2873a6f02cfe8f1193477a8e69b56e86d1"},"schema_version":"1.0","source":{"id":"2303.13648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.13648","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"arxiv_version","alias_value":"2303.13648v1","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13648","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"pith_short_12","alias_value":"RCLXNP2SWIAE","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"pith_short_16","alias_value":"RCLXNP2SWIAEQLSQ","created_at":"2026-07-05T05:54:17Z"},{"alias_kind":"pith_short_8","alias_value":"RCLXNP2S","created_at":"2026-07-05T05:54:17Z"}],"graph_snapshots":[{"event_id":"sha256:330b911a9da501377370b216f4108993303554fc7fe7fce23fc4f222d7586e65","target":"graph","created_at":"2026-07-05T05:54:17Z","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/2303.13648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions. In this report, we aim to evaluate ChatGPT on the Grammatical Error Correction(GEC) task, and compare it with commercial GEC product (e.g., Grammarly) and state-of-the-art models (e.g., GECToR). By testing on the CoNLL2014 benchmark dataset, we find that ChatGPT performs not as well as those baselines in terms of the automatic evaluation metrics (e.g., $F_{0.5}$ score), particularly on long sentence","authors_text":"Haoran Wu, Michael Lyu, Wenxiang Jiao, Wenxuan Wang, Yuxuan Wan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-15T00:35:50Z","title":"ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13648","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:f2051cc8b20388a416f31711ac298077372c8adc475596f74b53a49bc6c7b922","target":"record","created_at":"2026-07-05T05:54:17Z","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":"56277f92a94577d8d695f197d6953b4332171fd6cd3835d251a8bf407e4f5254","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-15T00:35:50Z","title_canon_sha256":"76a4fd310903f5b69e919cb0012d7e2873a6f02cfe8f1193477a8e69b56e86d1"},"schema_version":"1.0","source":{"id":"2303.13648","kind":"arxiv","version":1}},"canonical_sha256":"889776bf52b200482e505ca605fc315d2fef6f9400683e65063dcab1c4068764","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"889776bf52b200482e505ca605fc315d2fef6f9400683e65063dcab1c4068764","first_computed_at":"2026-07-05T05:54:17.447291Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:54:17.447291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iNa19W5Mu3F+3HAyZtrpSLI5OzY+HDE8+OeSsLlDrze0GOYMZp0pdugXgctUeoAhHC/A4EJF9DTYDAPhcIQ4Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:54:17.447831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.13648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2051cc8b20388a416f31711ac298077372c8adc475596f74b53a49bc6c7b922","sha256:330b911a9da501377370b216f4108993303554fc7fe7fce23fc4f222d7586e65"],"state_sha256":"19fece2eda7fd591b53de42a7374b41e7b1b1b216a27c8a8dba1fed87c948793"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rLhkjIL3Yq2VwhqmrITDDKtXve5Uhz8ZbNQLp9sbtnLV67qiszP9+LOU4Y7eLMohAkTiXLO3xn37ioA54NPDCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:41:38.629185Z","bundle_sha256":"ac260aea3b77d6483876ca03e0716e37da177d78cc58af29eefd8401c82f9894"}}