{"as_of":"2026-08-09T22:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22e8bdef537360f1cc5c25bfa2233b038bdc4900c18bfb98885124814a396d42","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:53:30.383668Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.05312/citation-record","integrity":"/paper/2502.05312/integrity","json":"/paper/2502.05312/citation-record.json","paper":"/paper/2502.05312"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.109747Z","title":"A multilayer convolutional encoder-decoder neural network for grammati- cal error correction","venue":null,"work_id":"d9c9a473-3ba0-4713-aa2f-c09990d2d39a","year":2018},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.667336Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:c44f61ae354cc4c11e751581323d5e693d59f694e063618a9909ae2435784c54","observation_id":"11908882-3a4b-48e8-acdc-a2931cbf8400","resolution":{"observed_at":"2026-08-08T19:53:32.114050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.05940","last_updated":"2018-04-16T21:06:14Z","snapshot_observed_at":"2026-08-05T22:20:43.396779Z","submitted_at":"2018-04-16T21:06:14Z","title":"Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.05940","snapshot_observed_at":"2026-08-08T19:53:29.671856Z","title":"Approaching neural grammatical error correction as a low-resource machine translation task","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.671856Z"},"links":{"cited_paper":"/paper/1804.05940","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:eaa6d0a4367f7379d0946c306ace1b20666e9d78eb154b8bbabcec36cea62253","observation_id":"42c947c9-121a-45d5-9065-bbc06180dba1","resolution":{"observed_at":"2026-08-08T19:53:29.671856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.098308Z","title":"Challenges in arabic natural language processing","venue":null,"work_id":"f8c6b92c-156c-481d-aad0-97b00f6542e7","year":2019},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.675967Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:597e6219cb29dfac395508ec647a64a982b1b578ee3326ac7448a6625f9ece1b","observation_id":"526034ff-99b1-4bed-8583-5c3c50c56082","resolution":{"observed_at":"2026-08-08T19:53:32.102505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.086181Z","title":"The first qalb shared task on automatic text correction for arabic","venue":null,"work_id":"894f7c08-fa15-4270-bb6b-bbfee0498b89","year":2014},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.679997Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:76253b0f3f4c7a8b524805b3f12983a346bd957d9358197583f14c9eda38c199","observation_id":"f4e09f36-9430-47fb-bfaa-5c87869722a6","resolution":{"observed_at":"2026-08-08T19:53:32.091082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.074482Z","title":"The second qalb shared task on automatic text correction for arabic","venue":null,"work_id":"f91f722d-dc93-4163-a06a-151d0dd07f70","year":2015},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.683488Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:1cb5f1f1e6f9ac715bf9077610267ebc057dc630538360bc5a35efe7b414da24","observation_id":"5831c810-21eb-487e-9e8d-bb90496a1ab2","resolution":{"observed_at":"2026-08-08T19:53:32.078254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.063294Z","title":"Cmuq@ qalb-2014: An smt-based system for automatic arabic error correction","venue":null,"work_id":"7e98af77-137f-4d1c-af21-f00b78fefb02","year":2014},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.687206Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:0ec2e01154abdea190b3a12e00c7fc17cb4e41de6aef3db4f502f6ce58d253ee","observation_id":"682e2c6e-5634-4d25-9cd7-8b528d32f674","resolution":{"observed_at":"2026-08-08T19:53:32.067625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.050284Z","title":"A web-based annotation framework for large-scale text correction","venue":null,"work_id":"64ca6e70-bfff-44a4-a86d-ff5a3ef5f643","year":2013},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.691322Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:272550a17c87483d9b9d4668caea74f972da8cc1674ba1aeab37cf2d1e1d252f","observation_id":"1b0f43ec-e042-4214-b209-780a8ab3ace5","resolution":{"observed_at":"2026-08-08T19:53:32.054752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.037411Z","title":"Synthetic data with neural machine translation for automatic correction in arabic grammar","venue":null,"work_id":"b959b066-9803-447f-bac2-ad72d576be65","year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.695011Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:f0107d5a948b5c974ac1b5f1d5114496b8439e136bba5d56f8b35eea28679d04","observation_id":"d87ad25e-7bf9-42ba-9f56-4ae9ce87c7e5","resolution":{"observed_at":"2026-08-08T19:53:32.041398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:32.015855Z","title":"Automatic arabic grammatical error correction based on expectation-maximization routing and target-bidirectional agreement","venue":null,"work_id":"b1c3018c-fdf5-42f1-b6b1-61a956992e8c","year":2022},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.698421Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:a4eb046a3f9c53b7b0d389cefea08ace0abf60f019b1e47701b10a7c1daf99c2","observation_id":"eaf0fc8e-3e76-482f-a85d-0bb56e742791","resolution":{"observed_at":"2026-08-08T19:53:32.024721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.991710Z","title":"Optimizing the impact of data augmentation for low-resource grammatical error correction","venue":null,"work_id":"3c9bcb47-0dc6-4a6f-b225-2bd71862e736","year":2023},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.701962Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:40fd600f3caa276218aeea9c3e6c452bb5be95a67f0fe4225e4032f87c05f5ef","observation_id":"486d6a3d-25dd-40c0-9efc-3efebdf4a0fe","resolution":{"observed_at":"2026-08-08T19:53:32.005843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04492","last_updated":"2023-08-08T18:00:39Z","snapshot_observed_at":"2026-08-09T18:32:14.455735Z","submitted_at":"2023-08-08T18:00:39Z","title":"ChatGPT for Arabic Grammatical Error Correction","version":1},"cited_work":{"arxiv_id":"2308.04492","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.04492","snapshot_observed_at":"2026-08-08T19:53:30.695992Z","title":"ChatGPT for Arabic Grammatical Error Correction","venue":"cs.AI","work_id":"fc44c441-75d5-4490-9f1b-4df7f341633d","year":2023},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.743477Z"},"links":{"cited_paper":"/paper/2308.04492","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:cd4fc418bbd202dc650b56c5c80023d4138f9bcdf885f550543717277a34d91d","observation_id":"19c875e4-b574-46b0-8cf0-30af8b96bbf5","resolution":{"observed_at":"2026-08-08T19:53:30.768568Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.08068","last_updated":"2021-09-16T15:50:11Z","snapshot_observed_at":"2026-08-09T03:30:14.086379Z","submitted_at":"2021-09-16T15:50:11Z","title":"Automatic Error Type Annotation for Arabic","version":1},"cited_work":{"arxiv_id":"2109.08068","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.08068","snapshot_observed_at":"2026-08-08T19:53:30.563626Z","title":"Automatic Error Type Annotation for Arabic","venue":"cs.CL","work_id":"b65e220b-5b90-4a9f-902f-f09a1c4a0a99","year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.786223Z"},"links":{"cited_paper":"/paper/2109.08068","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:26315cc065d7f5ca2c095813bd5b8badbd5e2c9d68c2319131ef323f907a8bba","observation_id":"021fefab-b7b1-48ff-84f6-6299784a62ad","resolution":{"observed_at":"2026-08-08T19:53:30.577531Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.820876Z","title":"Arabic grammatical error detection using transformers-based pretrained language models","venue":null,"work_id":"223fb984-91fe-40dc-ae67-4dba54dc5c99","year":2023},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.821065Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:038c4791a7bfd010e43393a6ca77afd6f6d38c9cc3d28df8723abe5823d2abc8","observation_id":"995283e8-21a7-4812-9066-0d508e612e76","resolution":{"observed_at":"2026-08-08T19:53:31.908732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.749997Z","title":"A7’ ta: Data on a monolingual arabic parallel corpus for grammar checking","venue":null,"work_id":"f8da7695-131c-4755-801b-521104eeaa5a","year":2019},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.911550Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:fefe7c1ae3f13795fb53aa6ff46a96e84163a9ea20998d78fc798f92de925681","observation_id":"2e39168d-03ca-4cdd-971c-e49021555d8c","resolution":{"observed_at":"2026-08-08T19:53:31.754904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.737593Z","title":"Arabert: Transformer-based model for arabic language under- standing","venue":null,"work_id":"0b82774a-3961-460d-8bfa-b810ad63185b","year":2020},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:29.985709Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:7569d7da1217250e075a31e10ff2eb61f1d728954a938b7945ddff78a5a27787","observation_id":"c24f1bbf-9984-4a02-81f6-fd674ae56fce","resolution":{"observed_at":"2026-08-08T19:53:31.741914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.610633Z","title":"Leveraging offensive language for sarcasm and sentiment detection in arabic","venue":null,"work_id":"864b85e3-b740-49de-a6a3-edf89b57f3e8","year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.026005Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:bf6f092fbd801afcae789eb71dc650ac2f451b317601dd9a4a6065ef283955e9","observation_id":"8fe5a1f8-3b6c-4809-a0c4-0515590d318a","resolution":{"observed_at":"2026-08-08T19:53:31.687711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.01785","last_updated":"2021-06-07T20:39:46Z","snapshot_observed_at":"2026-08-08T06:17:56.206630Z","submitted_at":"2020-12-27T06:32:55Z","title":"ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.01785","snapshot_observed_at":"2026-08-08T19:53:30.048476Z","title":"Arbert & marbert: Deep bidirectional transformers for arabic","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.048476Z"},"links":{"cited_paper":"/paper/2101.01785","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:9f61a848c122cc5684e289e15a0a993d9f372c401435386dd46d30350d6178a6","observation_id":"f6e9a928-82b2-4256-b14b-b239bbd671b0","resolution":{"observed_at":"2026-08-08T19:53:30.048476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06678","last_updated":"2021-09-04T17:36:16Z","snapshot_observed_at":"2026-08-02T03:31:32.767907Z","submitted_at":"2021-03-11T14:11:43Z","title":"The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.06678","snapshot_observed_at":"2026-08-08T19:53:30.090899Z","title":"The interplay of variant, size, and task type in arabic pre-trained language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.090899Z"},"links":{"cited_paper":"/paper/2103.06678","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:5227edaee14f01165df0121d12673cea1e108e6ec20eb52ac51f7b664de115d8","observation_id":"6c218d7f-fff0-45b7-bcf1-8858538fe6dd","resolution":{"observed_at":"2026-08-08T19:53:30.090899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.03654","last_updated":"2021-10-06T21:02:00Z","snapshot_observed_at":"2026-07-06T09:26:29.068023Z","submitted_at":"2020-06-05T19:54:34Z","title":"DeBERTa: Decoding-enhanced BERT with Disentangled Attention","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.03654","snapshot_observed_at":"2026-08-08T19:53:30.105209Z","title":"Deberta: Decoding-enhanced bert with disentan- gled attention","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.105209Z"},"links":{"cited_paper":"/paper/2006.03654","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:9685cc516160771c257e9fc8a614712a2117098523a1eeb27001bab1cbcf381a","observation_id":"995a9ae2-2e2d-4f5b-8816-ed93d8dde357","resolution":{"observed_at":"2026-08-08T19:53:30.105209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.09543","last_updated":"2023-03-24T09:17:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-18T06:48:00Z","title":"DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.09543","snapshot_observed_at":"2026-08-08T19:53:30.117686Z","title":"Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.117686Z"},"links":{"cited_paper":"/paper/2111.09543","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:160a2d4dc5672a265d5469548d7da281806df3fb60183b1548226e21549bf427","observation_id":"834a7d28-0ae4-4652-89ce-0dd21dd0e0c1","resolution":{"observed_at":"2026-08-08T19:53:30.117686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.04033","last_updated":"2016-11-12T18:41:58Z","snapshot_observed_at":"2026-08-09T19:43:02.645888Z","submitted_at":"2016-11-12T18:41:58Z","title":"1.5 billion words Arabic Corpus","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.04033","snapshot_observed_at":"2026-08-08T19:53:30.122696Z","title":"1.5 billion words arabic corpus","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.122696Z"},"links":{"cited_paper":"/paper/1611.04033","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:c610fcb22b2e600959e80bfddcb46ee9b7f2dc5e4f4ade6d0f4a63ba58c347b6","observation_id":"85add96f-a29f-4c5b-97b1-2639ab704375","resolution":{"observed_at":"2026-08-08T19:53:30.122696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.512136Z","title":"Osian: Open source international arabic news corpus-preparation and integration into the clarin-infrastructure","venue":null,"work_id":"373d6593-cc84-4834-bef2-f9d00d683c32","year":2019},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.126374Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:ffc9915eab55a7553ec50b7a26a9d28e713fb61bb981cc86f43549bcd0cff155","observation_id":"f788973c-67c0-46ea-a1a8-52358ebffd53","resolution":{"observed_at":"2026-08-08T19:53:31.516071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.06202","last_updated":"2020-06-18T16:28:29Z","snapshot_observed_at":"2026-08-09T14:12:47.663356Z","submitted_at":"2020-06-11T05:25:18Z","title":"A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.06202","snapshot_observed_at":"2026-08-08T19:53:30.129500Z","title":"A monolingual approach to contextualized word embeddings for mid-resource languages","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.129500Z"},"links":{"cited_paper":"/paper/2006.06202","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:bd3e44eb6e368390fc209f8697278142f0bb2e2f38f0aa4409bfbd8ad01d769e","observation_id":"90cd97df-a2de-407f-b955-1c7a7925d7e9","resolution":{"observed_at":"2026-08-08T19:53:30.129500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.493524Z","title":"Asynchronous pipeline for processing huge corpora on medium to low resource infrastructures","venue":null,"work_id":"907591f2-9734-4e6f-b44b-3f23ca602e8e","year":2019},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.133287Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:f87762245d9a92528444a357d72ae568b29a7226a4ab0ffebfc100235312956d","observation_id":"246247e4-2ae8-48ff-9637-75f79543c926","resolution":{"observed_at":"2026-08-08T19:53:31.503523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.06724","last_updated":"2015-06-22T19:26:56Z","snapshot_observed_at":"2026-08-06T16:37:38.107677Z","submitted_at":"2015-06-22T19:26:56Z","title":"Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.06724","snapshot_observed_at":"2026-08-08T19:53:30.137139Z","title":"Aligning books and movies: Towards story-like visual explanations by watching movies and reading books","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.137139Z"},"links":{"cited_paper":"/paper/1506.06724","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:99abcfde08161f3dcb78e6862ecddc5083d3829100db60610aa400092c8d5f1f","observation_id":"c17fac36-b490-4943-abad-b7ff9d2acbdc","resolution":{"observed_at":"2026-08-08T19:53:30.137139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.424404Z","title":"Openwebtext corpus, 2019","venue":null,"work_id":"8da1cbd6-ba01-404c-8b83-777150649e8a","year":2019},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.141175Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:70715c515a0244bea459919f88a6e8eda6cc8066ce2d0c0eb63f738baba3d25d","observation_id":"f57c0a4d-b785-4d31-ae97-c37f314b2db6","resolution":{"observed_at":"2026-08-08T19:53:31.460938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.02847","last_updated":"2019-09-26T22:33:06Z","snapshot_observed_at":"2026-07-06T06:43:37.618154Z","submitted_at":"2018-06-07T18:13:08Z","title":"A Simple Method for Commonsense Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.02847","snapshot_observed_at":"2026-08-08T19:53:30.144940Z","title":"A simple method for commonsense reasoning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.144940Z"},"links":{"cited_paper":"/paper/1806.02847","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:b20f5d310fbbc3012152167d0b3e8538d7e73575af3381ffe3c630d68e3a8dba","observation_id":"c90955bd-0f09-4a04-bc3a-5fa97d647eb2","resolution":{"observed_at":"2026-08-08T19:53:30.144940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.149612Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.149612Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:6ca11a60edcff0fcb8214442e2f144179b620f5551b3524cb40c52ac6a188b45","observation_id":"3e44335a-055e-43a0-9bde-7cc18868b5a3","resolution":{"observed_at":"2026-08-08T19:53:30.149612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11934","last_updated":"2021-03-11T18:45:13Z","snapshot_observed_at":"2026-08-09T05:32:57.900052Z","submitted_at":"2020-10-22T17:58:14Z","title":"mT5: A massively multilingual pre-trained text-to-text transformer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11934","snapshot_observed_at":"2026-08-08T19:53:30.153016Z","title":"mt5: A massively multilingual pre-trained text-to-text transformer","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.153016Z"},"links":{"cited_paper":"/paper/2010.11934","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:8a9594158e641d91603968fbd466fd530ebdcb1329bcd0f5b958a8672cb0ef47","observation_id":"448d7c2e-5a14-4bbb-82c9-e8a770fc9daa","resolution":{"observed_at":"2026-08-08T19:53:30.153016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.254974Z","title":"Byt5: Towards a token-free future with pre-trained byte-to-byte models","venue":null,"work_id":"60ae5bfa-eca7-4532-9d54-5e277623ae74","year":2022},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.156330Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:f7c42017bb41a94e368839eb8abb0e9fc7baf6652f19ec5fc42d283893ee0151","observation_id":"849ceb4f-2001-4ab9-9d0d-442c89696683","resolution":{"observed_at":"2026-08-08T19:53:31.340318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.12068","last_updated":"2022-03-15T17:57:28Z","snapshot_observed_at":"2026-08-08T14:36:28.066612Z","submitted_at":"2021-08-31T02:02:10Z","title":"AraT5: Text-to-Text Transformers for Arabic Language Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.12068","snapshot_observed_at":"2026-08-08T19:53:30.159661Z","title":"Arat5: Text-to-text trans- formers for arabic language generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.159661Z"},"links":{"cited_paper":"/paper/2109.12068","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:4692f0f80466d0b7abccfb51963ba22b8b66ea590aa09b1b4500efbabe318c2d","observation_id":"b0c47e7a-9b4d-4d26-b941-cf83a2720361","resolution":{"observed_at":"2026-08-08T19:53:30.159661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.242582Z","title":"Arabic learner corpora (alc): a taxonomy of coding errors","venue":null,"work_id":"3df3abb2-6bb1-49c9-acce-241201f7d65f","year":2012},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.163524Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:cb23ff2e87a5fe04f7ed936de499faa6d280faee7693b8c7ef2e95d62b3bf64d","observation_id":"bae4a2fe-9056-4209-b829-5fcb736c3504","resolution":{"observed_at":"2026-08-08T19:53:31.247544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:31.198671Z","title":"Arabic learners written corpus: A resource for research and learning","venue":null,"work_id":"a0521d96-11ba-41d5-86ad-768a65018a51","year":2012},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.166807Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:00302bfd3ba785d5236e2ff0fc8faaa33d5a96105819fc2b5b64b15528e38b31","observation_id":"909459f2-3093-4e81-b0a0-42c90bd11857","resolution":{"observed_at":"2026-08-08T19:53:31.221291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.928211Z","title":"Arabic tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop","venue":null,"work_id":"37f9b43b-5ab1-4eb7-b762-f113908889e3","year":2005},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.170198Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:cc3830dc919fcd0731eb78f05a82304a2e2e0c4e24e8ef4addced1f332bdb536","observation_id":"e0be9fbd-6647-4262-94db-29dd2b6794c3","resolution":{"observed_at":"2026-08-08T19:53:31.043303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.916648Z","title":"Mada+ tokan: A toolkit for arabic tokenization, diacritization, morphological disambiguation, pos tagging, stemming and lemmatization","venue":null,"work_id":"93d5a6fd-9ab4-412e-ad91-439b14f8d330","year":2009},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.173392Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:504a699e6a8676986974e1d1a79859157b4b1e61d9c7f8601253af7d56c1e611","observation_id":"f82beba7-a7d3-4ea9-8f91-a5a8b0239a91","resolution":{"observed_at":"2026-08-08T19:53:30.920199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.905576Z","title":"Zaebuc: An annotated arabic-english bilingual writer corpus","venue":null,"work_id":"aff119ba-ac55-48c4-9249-04fbf569bbf1","year":2022},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.177514Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:4c1790a0eeeeb0257568840f2ac2962c106368e934cb471fc5bcd5fe0ee7de34","observation_id":"d5ee187f-1b94-49da-94da-be52b9851a17","resolution":{"observed_at":"2026-08-08T19:53:30.909684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04712","last_updated":"2021-10-15T18:30:18Z","snapshot_observed_at":"2026-08-02T09:12:39.868039Z","submitted_at":"2021-09-10T07:39:10Z","title":"Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.04712","snapshot_observed_at":"2026-08-08T19:53:30.180765Z","title":"Balancing methods for multi-label text classification with long-tailed class distribution","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.180765Z"},"links":{"cited_paper":"/paper/2109.04712","citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:35819fd348dc0f02bfa25f444659240e6eafa65ac9c7b9ff270b88d1bf2b7f6b","observation_id":"74e422c9-1993-4f9c-a661-faeae5cbd866","resolution":{"observed_at":"2026-08-08T19:53:30.180765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.894762Z","title":"A unified view of multi-label performance measures","venue":null,"work_id":"73b3862d-6e2a-44d3-88b6-b5c488464824","year":2017},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.184801Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:13801bc74feeb1fe64674ef1c2d6cb94a2ef74beecc784afe8a3608240d0a1a6","observation_id":"b0ccfde8-d00b-44bf-a3d2-a6e84f10b49e","resolution":{"observed_at":"2026-08-08T19:53:30.898776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.882631Z","title":"An evaluation of statistical approaches to text categorization","venue":null,"work_id":"6acff68e-b770-4a60-984f-10efaabfe49d","year":1999},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.204346Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:5af4619986eddcc6f70140f0e8c0fe5ab6365c3bd6fadf6a3c3e2886a5b9354b","observation_id":"05d4e910-546f-4d3b-bf6c-ecd5792df187","resolution":{"observed_at":"2026-08-08T19:53:30.886413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.872372Z","title":"Multilabel classification","venue":null,"work_id":"3ff06f92-82b8-4e05-a4b0-a696b55f6469","year":2016},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.253179Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:32e42683d826c0bd782409691d60a85ac51a1591a60ae76438a2f9a5f431cd6e","observation_id":"490b338c-e175-4350-bc4a-03f0a186ee77","resolution":{"observed_at":"2026-08-08T19:53:30.875729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.845711Z","title":"Effective multi-label active learning for text classification","venue":null,"work_id":"2a25d203-8372-4d35-8468-db7cb4acab0a","year":2009},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.296408Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:dc0ca807d60c0b923e09834fc9d0c34ad8f533092c78ea28c5483a5b89f1d351","observation_id":"160abc37-4893-4243-9888-08129549001d","resolution":{"observed_at":"2026-08-08T19:53:30.862783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.816511Z","title":"Better evaluation for grammatical error correction","venue":null,"work_id":"f9cda1c2-b447-4d42-b1c4-68469f9de77e","year":2012},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.339824Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:633cb4b9868bf9a56a5c98819fd147328a252968025f7616983fd9ccc6a6bc6a","observation_id":"de0703d3-d242-4fb7-b13a-927252935c3a","resolution":{"observed_at":"2026-08-08T19:53:30.831192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:53:30.799857Z","title":"Transformers: State-of-the-art natural language processing","venue":null,"work_id":"2a952208-ce26-41c7-8cef-0ef49bd1a25f","year":2020},"citing_paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T19:53:30.383668Z"},"links":{"citing_paper":"/paper/2502.05312"},"observation_digest":"sha256:76daeda469c3505966b974624fd914051d417202dff04cbb87b3393fc8b66ab0","observation_id":"033a1654-f8e3-4f0d-a44a-d222312c19cf","resolution":{"observed_at":"2026-08-08T19:53:30.806970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.05312","last_updated":"2025-02-07T20:28:37Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T19:43:03.751861Z","submitted_at":"2025-02-07T20:28:37Z","title":"Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":2,"verified_fuzzy":28},"total_outbound_references":43},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.05312."}