{"as_of":"2026-08-13T09:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71f024594277c250845395d42a6e391ac9c7a55e5a65a85c186fb0b80f10ff71","coverage":[{"denominator":90,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":90,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:46:52.808161Z","state":"measured"},{"denominator":90,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":90,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2508.01279/citation-record","integrity":"/paper/2508.01279/integrity","json":"/paper/2508.01279/citation-record.json","paper":"/paper/2508.01279"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10756","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.983319Z","title":null,"venue":null,"work_id":"e280b6bb-bc8d-4e7a-b164-b43dd405ec41","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.481014Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9bdcb5829d45621e039aa541e6a9778aab2d27d1df1042dcec80e314857e3d01","observation_id":"17f420d3-d260-4f8c-94c0-29fa2ac2ad56","resolution":{"observed_at":"2026-08-06T05:46:55.988326Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2013.71637","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.908998Z","title":null,"venue":null,"work_id":"3f23d379-326d-4b27-bc60-57652b78b84b","year":2013},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.485182Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:10b711b4b2265bcfd3e5b761b3d74005c94a624155fad9e5911c2d067658330d","observation_id":"b61b8bc6-9ff7-45e2-9ff5-d0f93cc7f9cd","resolution":{"observed_at":"2026-08-06T05:46:55.914795Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.488843Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.488843Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:f8bccd6ce133f47f1adff06b86fd43ceed45c05a3a67ae010847905abaae90d8","observation_id":"97c17cb5-bc20-43d8-abba-3b71f6d34249","resolution":{"observed_at":"2026-08-06T05:46:52.488843Z","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":"2026-08-06T05:46:52.492467Z","title":"Antoy, P","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.492467Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:b2c16fccb6dde30dfa14e38f26e855090cbba806432b23b07401f325bd9d192b","observation_id":"a229d427-129e-4b48-bef9-6e4b00d3d18a","resolution":{"observed_at":"2026-08-06T05:46:52.492467Z","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":"2026-08-06T05:46:52.500667Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.500667Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:7a911dc0f2ba747eb57da937223a04f5f694beb0fbcdc6cfc95dd187e69bd2ea","observation_id":"508e9c55-08da-4af3-bbce-2bfe5fffff35","resolution":{"observed_at":"2026-08-06T05:46:52.500667Z","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":"2405.01668","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.772811Z","title":null,"venue":null,"work_id":"71d14961-7ac8-44e6-99f2-63d1f8d9eb5b","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.504991Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:e91614582ef1d0a5beae68e703d959493fce402892ecb46741dca8967798b535","observation_id":"7e611d6c-bbfd-49d1-9100-e4b7eba803bb","resolution":{"observed_at":"2026-08-06T05:46:55.777938Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.508582Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.508582Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:a3c507ce7d7c05a3e2fcb00261f9df23ae477ba927813c4fdf0297814d5d98fc","observation_id":"82987d8e-7d6b-41eb-9f5d-ce307bcae692","resolution":{"observed_at":"2026-08-06T05:46:52.508582Z","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":"2026-08-06T05:46:52.511910Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.511910Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:ecae7b864c271da3c36ab5fe817510383a482b8ddb9474dff9104168c24eef6c","observation_id":"9d8de02e-2ea9-46e1-9340-54e6dec03ebe","resolution":{"observed_at":"2026-08-06T05:46:52.511910Z","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":"2026-08-06T05:46:52.515739Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.515739Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:40840c801e126d60559563369f9ce45448eb8a2f29397fa49d13395fce230f74","observation_id":"c964c032-522d-4c3a-a6d6-51760aeca6ba","resolution":{"observed_at":"2026-08-06T05:46:52.515739Z","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":"2026-08-06T05:46:52.519211Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.519211Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:c7278ecbb33a2070edc3d7c001494fea6c1e3b8d4694fdabfbf9fed9643a5fa3","observation_id":"311ee281-955e-42cc-8f74-265e13c56f12","resolution":{"observed_at":"2026-08-06T05:46:52.519211Z","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":"2026-08-06T05:46:52.526451Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.526451Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9a1b0c3c9315e7e6bd89c20a05f986ad0bd160304bbb904ea6838588619bf351","observation_id":"85957a18-2529-494f-babf-b902b17bbaee","resolution":{"observed_at":"2026-08-06T05:46:52.526451Z","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":"10.1016/b0-08-043076-7/00417-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Elsevier eBooks","work_id":"39aefae8-4009-4539-988f-05b63bf7e471","year":2001},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.529836Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9ceeb1296f996f5d819c63d31d8d342e6c3f0bad862ced46d7b4ca096aad4963","observation_id":"d3f1da4b-79b7-45e2-b8d2-5f05eae56839","resolution":{"observed_at":"2026-08-06T05:46:52.922009Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19048","last_updated":"2025-05-20T20:28:29Z","snapshot_observed_at":"2026-08-13T00:19:09.522807Z","submitted_at":"2024-04-29T18:40:01Z","title":"A Framework for Real-time Safeguarding the Text Generation of Large Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19048","snapshot_observed_at":"2026-08-06T05:46:52.533344Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.533344Z"},"links":{"cited_paper":"/paper/2404.19048","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:8d89fa110d76e1db9fd80c340ec49df70a52a283eddf2337ff34daf1a18a7664","observation_id":"77b430ea-fcdc-41ac-8ec3-ccb84c905c39","resolution":{"observed_at":"2026-08-06T05:46:52.533344Z","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":"2026-08-06T05:46:52.537286Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.537286Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:b155e8e5b6a8c917697a8a9bd5baf307668f7249c03e52aba050d42838ea8e37","observation_id":"6902d671-2d74-4162-90c5-bddfb133ee57","resolution":{"observed_at":"2026-08-06T05:46:52.537286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.08608","last_updated":"2017-03-02T19:32:10Z","snapshot_observed_at":"2026-08-13T03:10:58.738032Z","submitted_at":"2017-02-28T02:19:20Z","title":"Towards A Rigorous Science of Interpretable Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.08608","snapshot_observed_at":"2026-08-06T05:46:52.540841Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.540841Z"},"links":{"cited_paper":"/paper/1702.08608","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:58331c098b3d9af963211cbf285d290bf4ea2e1b1b4bc4d2ad1ff40f05a66598","observation_id":"cb196f4a-824f-42d8-9ce5-d36d0d6f5d25","resolution":{"observed_at":"2026-08-06T05:46:52.540841Z","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":"2026-08-06T05:46:52.544596Z","title":"Guo, Robert DeLine, and Sumit Gulwani","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.544596Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:a770e8156fc1b4e58d21cc8707829d57506518ff53e373b6d3152d244a3a787f","observation_id":"8b6d89a1-667a-494f-988a-0ce42e848b85","resolution":{"observed_at":"2026-08-06T05:46:52.544596Z","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":"5274.19529","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.262661Z","title":null,"venue":null,"work_id":"530184d3-6076-4c3e-abd4-985665850a62","year":1994},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.548074Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:5d292da58260c79a90570cd83c6989ee093d1cab0759277d38107836705328d0","observation_id":"db999235-d389-44b7-bcab-82e8b38d6a4b","resolution":{"observed_at":"2026-08-06T05:46:55.268394Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.32400","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.189945Z","title":null,"venue":null,"work_id":"ddb1bc20-d7b0-4ede-a5d4-19a7854bf42f","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.551352Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:5340506b48c7ca117a5e5865bc510137d5a888440177aa40fc9b2ffa5545aaf2","observation_id":"326d513e-20af-4564-88ff-b49223f943e9","resolution":{"observed_at":"2026-08-06T05:46:55.195014Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.554580Z","title":"Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, and Benjamin Zorn","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.554580Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:295191c977e5f8794c55652e04b8efbeaa16d8a5ff5df26da1c2d7f7191b8192","observation_id":"fce5e312-ea8f-4e15-9b27-fa04131dcd32","resolution":{"observed_at":"2026-08-06T05:46:52.554580Z","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":"2026-08-06T05:46:52.557856Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.557856Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:0171dac1f1e4b455ba9273d01bad8c35fcc126285498bc061b49c333c04b9cbb","observation_id":"ff3993da-ca41-4514-860c-6964f8a7530f","resolution":{"observed_at":"2026-08-06T05:46:52.557856Z","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":"2026-08-06T05:46:52.565183Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.565183Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:80c31ad526ae1aecbd356ef776029f22d283756b4dd5cbd78c8d5d044be89625","observation_id":"3441e3cc-3956-47b2-8361-e27b0119d118","resolution":{"observed_at":"2026-08-06T05:46:52.565183Z","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":"2026-08-06T05:46:52.568419Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.568419Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:333631ebb2cd94c7d18a3031d4b854464e9ebca2f4f5fc21524ec3aa3c3bd54f","observation_id":"b72d5d9e-2556-4a9c-9eea-1f150c88c568","resolution":{"observed_at":"2026-08-06T05:46:52.568419Z","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":"2026-08-06T05:46:52.571889Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.571889Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:22ecb917fbafcc710cfc06782aefeb565af53f20317949bc32c833f423012217","observation_id":"ec98c8c8-54b1-4cbc-aef1-d74b2f20a4f7","resolution":{"observed_at":"2026-08-06T05:46:52.571889Z","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":"4032.36240","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.045369Z","title":null,"venue":null,"work_id":"4fae8f82-70ba-4d05-8dfb-00cab5027408","year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.575151Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9d9dd4b13a7992d908e566b31691e897a8ac4f7807dccf3db1afc4432e01cd8d","observation_id":"efa6d95b-2cd2-4d03-a892-799402551cf7","resolution":{"observed_at":"2026-08-06T05:46:55.050450Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.578421Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.578421Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:888cf66eb081c8cd181fdc0ece6438c177b71fe96f52ebe47f6051f8e4bedf34","observation_id":"44f5ef4d-96d4-4521-889f-d99c0b6374d6","resolution":{"observed_at":"2026-08-06T05:46:52.578421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14189","last_updated":"2025-05-30T14:12:54Z","snapshot_observed_at":"2026-08-13T00:00:57.982268Z","submitted_at":"2024-05-23T05:31:41Z","title":"Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14189","snapshot_observed_at":"2026-08-06T05:46:52.581943Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.581943Z"},"links":{"cited_paper":"/paper/2405.14189","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:8f14d694b5fdefc36589ec682d6966cd9cf04996be59d4649773fd45dc2703fd","observation_id":"ffe4d690-6994-4905-a566-1b44143b2441","resolution":{"observed_at":"2026-08-06T05:46:52.581943Z","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":"6367.2017","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:54.964764Z","title":null,"venue":null,"work_id":"cd21cb1a-5225-4aa4-be88-3825c31fd97a","year":2017},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.585565Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:e448e418853511c730f4fd4afda4d82a49c712648d658ccec8cd96a5fedfd283","observation_id":"cc35e280-66b7-4a1d-8ac2-8c1127664011","resolution":{"observed_at":"2026-08-06T05:46:54.969689Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.588683Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.588683Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:617d64246199296acde68e200307cb052e818286ea41cdc6dcfec53b8b60db31","observation_id":"27afaa06-55d4-4f86-89f5-b4234a2c9bc1","resolution":{"observed_at":"2026-08-06T05:46:52.588683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00752","last_updated":"2025-03-18T19:50:04Z","snapshot_observed_at":"2026-08-13T08:47:19.865949Z","submitted_at":"2024-10-01T14:47:05Z","title":"TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00752","snapshot_observed_at":"2026-08-06T05:46:52.591939Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.591939Z"},"links":{"cited_paper":"/paper/2410.00752","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:d042ff0f58bef5f9c45c57791753fdc6d69267d235170f33195a194ed4e46285","observation_id":"b6a57fc7-2497-4244-8c4b-3494b0fa165b","resolution":{"observed_at":"2026-08-06T05:46:52.591939Z","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":"2026-08-06T05:46:52.595432Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.595432Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:bb1a268966b28da94ef29bcc98ced4f59c4fdf97b1c8f1776223c1dbeac08107","observation_id":"6c053c37-8e19-48a0-a4d3-9e3b34ad2ecd","resolution":{"observed_at":"2026-08-06T05:46:52.595432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12935","last_updated":"2025-01-07T04:42:20Z","snapshot_observed_at":"2026-08-12T23:41:30.825563Z","submitted_at":"2024-06-17T03:03:34Z","title":"ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates","version":2},"cited_work":{"arxiv_id":"2406.12935","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12935","snapshot_observed_at":"2026-08-06T05:46:54.835461Z","title":"ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates","venue":"cs.CR","work_id":"1c6abd07-75e9-4574-a02b-aaaaa483ddc4","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.599565Z"},"links":{"cited_paper":"/paper/2406.12935","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:710ef886ab52b17c04c52692563d20ebbb8c50987c5397bef83b20fe6e523ed0","observation_id":"3946c603-9f3b-4380-9fa4-a6e5b9e450f3","resolution":{"observed_at":"2026-08-06T05:46:54.840300Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.603236Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.603236Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:2365c220c23d9726b3c299a2aeb4dddd0218743081d29d621aa01906636584dd","observation_id":"6e30ce75-fe89-4d32-b3f8-615fb421b651","resolution":{"observed_at":"2026-08-06T05:46:52.603236Z","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":"2026-08-06T05:46:52.606588Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.606588Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:3f42f379028f8b5dce28f0448232ad7bc2e5e2253f4f21017a95a6195050ea0c","observation_id":"2b493525-4b80-4d73-b7f3-57f6ecf99194","resolution":{"observed_at":"2026-08-06T05:46:52.606588Z","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":"2026-08-06T05:46:52.609776Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.609776Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:55b721f9fcbecfa4bd02f6dae15658170f9a7087683847b4d02e205553ee715b","observation_id":"2924c115-0b6e-4e3c-91fa-b698f3a16917","resolution":{"observed_at":"2026-08-06T05:46:52.609776Z","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":"2026-08-06T05:46:52.613219Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.613219Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:1f93f1f62172da8ae834d48ce959c6b3221016b62052bad2464c5976a76952eb","observation_id":"9df2f923-ffb1-447e-b452-02aa7404b81d","resolution":{"observed_at":"2026-08-06T05:46:52.613219Z","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":"1880.25192","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:54.693587Z","title":null,"venue":null,"work_id":"6a07cb7b-e1c1-4ecc-ad32-2a689a43fe49","year":1997},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.617155Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:851f15703c3f3293fa703404365755ee7bcf32f89d044e9e3dec0d7b4835a98d","observation_id":"d152e3dc-2ded-4df6-a5f4-ca94271668e5","resolution":{"observed_at":"2026-08-06T05:46:54.699642Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.624321Z","title":"Haber, Tara Matthews, and Tessa Lau","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.624321Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:fa4c6e9b35fa139cbd1189735601fb8bb9df794a95e307c5654ec6388700107f","observation_id":"d249e4de-69f0-420c-9718-84801b6cb763","resolution":{"observed_at":"2026-08-06T05:46:52.624321Z","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":"2026-08-06T05:46:52.627706Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.627706Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:635cae03a885973a13e1087625f7776ca730fa305c7644fc6763b4a03ab413bf","observation_id":"52e7a28e-af12-404e-bf48-7d4d7a1aa46d","resolution":{"observed_at":"2026-08-06T05:46:52.627706Z","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":"0203.36633","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:54.476199Z","title":null,"venue":null,"work_id":"7eada0db-220a-4773-900c-1642ab9a69f5","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.631512Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:abf98b1a9be797050b75aabaea370d0c9925e2d8085ada78fa5759d06439551c","observation_id":"5f4799e5-1204-491d-a901-49bc5e6f55fd","resolution":{"observed_at":"2026-08-06T05:46:54.481347Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12309","last_updated":"2022-05-24T18:36:34Z","snapshot_observed_at":"2026-07-06T13:13:33.415152Z","submitted_at":"2022-05-24T18:36:34Z","title":"Structured Prompt Tuning","version":1},"cited_work":{"arxiv_id":"2205.12309","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.12309","snapshot_observed_at":"2026-08-06T05:46:54.406543Z","title":"Structured Prompt Tuning","venue":"cs.CL","work_id":"2463e749-b492-40d8-9fa9-e97b1f12e334","year":2022},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.635132Z"},"links":{"cited_paper":"/paper/2205.12309","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:8a24007288722d1b1051f60f0bb7be86cff27378d1462519ec54642fd6fd0e6d","observation_id":"3b763a59-4d91-46d6-ad3d-83014019f207","resolution":{"observed_at":"2026-08-06T05:46:54.410372Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.638701Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.638701Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9d4445fbf756bdfe71552ea7dfe558e8a6c139db6b2ccb7e32a4615e795074a1","observation_id":"d11998ee-bf76-44e8-9549-b517b1eb1610","resolution":{"observed_at":"2026-08-06T05:46:52.638701Z","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":"2026-08-06T05:46:52.645536Z","title":"What It Wants Me To Say","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.645536Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:0d66794bc1a26034fd30cd67a4c65c8d2d9789e7aaca835b1a6b05eb3779cd51","observation_id":"e80bc6cb-72d2-4d79-b9a0-80b2974f141b","resolution":{"observed_at":"2026-08-06T05:46:52.645536Z","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":"2026-08-06T05:46:56.131612Z","title":null,"venue":null,"work_id":"e398b874-3fcd-46f7-97e0-0364db130445","year":2011},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.649104Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9f19c24eddc8bed20de649ba6dd65fc34f4fb7bf2dcc273f3190e6913e369f42","observation_id":"16fde168-1d1b-4df5-9c96-08a9144a4292","resolution":{"observed_at":"2026-08-06T05:46:56.134857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.34562","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:54.260691Z","title":null,"venue":null,"work_id":"d197bc57-f664-4a19-bd8f-f0cbc6c8ea75","year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.653241Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:e58a32fdb242f4e4c1efa4f27f43c4cdbe2f201b75a2ad035b422a8a9e72771e","observation_id":"647c1cfa-c2c9-421a-a7eb-1dc41b2ef600","resolution":{"observed_at":"2026-08-06T05:46:54.265682Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.656674Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.656674Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:1371fa9bb12968ba5158d30dd0b0c26c6dad7ce8912ccbaf5bf8b7d48848b820","observation_id":"0897cc44-cd27-4238-a810-1c74aab89e34","resolution":{"observed_at":"2026-08-06T05:46:52.656674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08775","last_updated":"2025-04-28T16:07:05Z","snapshot_observed_at":"2026-08-12T22:45:32.679170Z","submitted_at":"2024-09-13T12:34:14Z","title":"What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08775","snapshot_observed_at":"2026-08-06T05:46:52.659780Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.659780Z"},"links":{"cited_paper":"/paper/2409.08775","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:f34d83f53df1b099d6ee722d609cc8d57aad632a61e2733415b9842e674c6638","observation_id":"fc0795e7-6612-49e2-ba90-189b793226dc","resolution":{"observed_at":"2026-08-06T05:46:52.659780Z","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":"2026-08-06T05:46:52.663455Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.663455Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:3938dad16aa3db6e46ece5419fc6855103083850b8d9225af62298fc2b72f041","observation_id":"c2f74aea-559d-431f-ab81-4de35791bd5e","resolution":{"observed_at":"2026-08-06T05:46:52.663455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00215","last_updated":"2024-06-28T19:53:17Z","snapshot_observed_at":"2026-08-12T23:32:25.133777Z","submitted_at":"2024-06-28T19:53:17Z","title":"LLM Critics Help Catch LLM Bugs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00215","snapshot_observed_at":"2026-08-06T05:46:52.666443Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.666443Z"},"links":{"cited_paper":"/paper/2407.00215","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:2627d3b80707edea30517e7a74e3c32534ba866af9eefe2589f716e1e030fe9a","observation_id":"da4951f9-e021-4c94-b175-b9086c68171d","resolution":{"observed_at":"2026-08-06T05:46:52.666443Z","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":"2026-08-06T05:46:52.670281Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.670281Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:c4dbbc6f71e8149072f41e48e9e6fda05fe8cc60138e149b6db582cf53d2a427","observation_id":"7cbb59ba-dc01-4f56-ad6d-7e3ac0f36801","resolution":{"observed_at":"2026-08-06T05:46:52.670281Z","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":"2348.50236","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:54.028487Z","title":"Miller and Brad A","venue":null,"work_id":"7099a428-9a0b-43d7-820f-9c0f67f12fee","year":2001},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.673452Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:c599f0c623cabaa51c01da4051c5700f4d0f56fc56da4d7b03c5bfed16a822ba","observation_id":"1ae29c5b-e324-4e13-a970-b96c0c8bac92","resolution":{"observed_at":"2026-08-06T05:46:54.033485Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2009.53159","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:53.954742Z","title":"Dinh-Trong","venue":null,"work_id":"9c38f64d-9593-4e17-b2a2-ac99a3cba948","year":2009},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.676500Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:ca275a1115ffc719e60941cc3ce3405cff328ff809d425ec416d685b594a3d06","observation_id":"58d87994-9bac-4067-a628-bc76cb671da5","resolution":{"observed_at":"2026-08-06T05:46:53.959653Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1997.0049","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:53.883164Z","title":"MODUGNO and B.A","venue":null,"work_id":"be7de973-cdba-4019-9be0-1d570248ea0e","year":1997},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.679593Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:f7dcacf302baa42a241c0168c6f94d71a1d84944cf2159fb27be9b115eaf6d36","observation_id":"ee0fb26c-07b1-4d7c-b1bd-840601b1500e","resolution":{"observed_at":"2026-08-06T05:46:53.887989Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.683137Z","title":"Nelson, Halden Lin, Adam M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.683137Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:51668fb628f7261738e41a9b3b6ae4dbfce8f14775b5c4a74bfbc310259bb11c","observation_id":"87c2f2bb-e861-4f08-8f47-b775cc429bd4","resolution":{"observed_at":"2026-08-06T05:46:52.683137Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T05:46:56.121593Z","title":null,"venue":null,"work_id":"37b59725-4c2d-4bde-9c1c-71221426ca37","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.686164Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:d0a3cdb29173da8f392c87bcf72b9a1eef6a07276e417ac33f0006f4269f30f1","observation_id":"ce256fd8-358d-4629-a4d9-57bf6289d1f9","resolution":{"observed_at":"2026-08-06T05:46:56.124749Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.692599Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.692599Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:10367ee55a36c1f0b47f5adb76e646fa41898d74f84e99472e6258421466996b","observation_id":"aadec704-154d-4f38-acbc-693b5ef945df","resolution":{"observed_at":"2026-08-06T05:46:52.692599Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T05:46:56.111256Z","title":null,"venue":null,"work_id":"c3cc5e2e-972c-4715-a480-14572495585c","year":1986},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.695709Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:39cf55f7c96beb937f389729276b59aa8d6f543335877c4fe84297e1991fab31","observation_id":"00582189-5c40-4f80-8cf3-8506c4ef4896","resolution":{"observed_at":"2026-08-06T05:46:56.115163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.698959Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.698959Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:a086e9860adbecb7249f06e507634611c8cc9a59e054a8d6e76d854093a763fc","observation_id":"feaeb403-3b4a-4d7d-a61d-66515d13542c","resolution":{"observed_at":"2026-08-06T05:46:52.698959Z","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":"2026-08-06T05:46:52.702632Z","title":"Newman, and Mohamed Wiem Mkaouer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.702632Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:0bf636535b4391866ccb509342a651c496e5b0dfec101b0902bdb38407dd841e","observation_id":"c9e520c1-b29e-45fb-a63e-f51857947e26","resolution":{"observed_at":"2026-08-06T05:46:52.702632Z","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":"2026-08-06T05:46:56.098851Z","title":null,"venue":null,"work_id":"4d814ee2-d0c7-42bf-adda-7ce01c04c49f","year":2025},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.705919Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:2c945f74468d13956b5a36abcc2d3587d89dfb7f8c0c22a3e36dd9b3218c5597","observation_id":"d949fd1e-f9be-4049-91fc-dab7937b4d14","resolution":{"observed_at":"2026-08-06T05:46:56.104453Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T05:46:56.089532Z","title":null,"venue":null,"work_id":"e1a3dadf-6673-454e-a1d4-11a8163c0e56","year":2019},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.712468Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:f0294a053aa8a59b119f8e5fa459ba95c400c338353d3b9ffa99bce63d553c59","observation_id":"b8729bba-61f6-4bed-91e0-0fddc2380582","resolution":{"observed_at":"2026-08-06T05:46:56.092816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.715811Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.715811Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:f3546473f07835ee27b683fdc5e3738f8cdddeb5355981dce2077a676422c2a9","observation_id":"973ad955-8bb7-4308-8d68-a0ff4fefbf71","resolution":{"observed_at":"2026-08-06T05:46:52.715811Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T05:46:56.079198Z","title":null,"venue":null,"work_id":"de654371-350b-4604-b18c-5867d78b532b","year":2014},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.719079Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:dbe8c750c22d566932fa91141690b699ff62e62c0d48be809298ea98e8730c7e","observation_id":"2af68b7d-c068-49c9-8445-8963a2ca6cad","resolution":{"observed_at":"2026-08-06T05:46:56.082826Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.722168Z","title":"Zamfirescu-Pereira, Bjoern Hartmann, Aditya Parameswaran, and Ian Arawjo","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.722168Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9173b672d69b6422a8101b3832be51eefec79256b7f18f8325ec1270ccfaba74","observation_id":"0f6f1a82-a33f-46eb-9c56-1a1d2f79b1cc","resolution":{"observed_at":"2026-08-06T05:46:52.722168Z","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":"2026-08-06T05:46:56.070079Z","title":"O’Reilly Media, Inc","venue":null,"work_id":"5a22222d-bcc9-4d96-8079-8d45535d6d2e","year":2021},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.725166Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:e429cea45783ce6ddf7507ab5a687e8dccee325368eb4ae12519f1b375544ff8","observation_id":"2391f5af-c406-4c9a-bfc2-8e2e98671261","resolution":{"observed_at":"2026-08-06T05:46:56.073280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T05:46:56.059840Z","title":null,"venue":null,"work_id":"55c6b0e5-a6f9-435c-89cf-3279dc87ef0d","year":2021},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.728518Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:11cacb2d1f7519e378895f3c55fb2f434f1eafb8e4f013ebe08d206835319061","observation_id":"65e63edc-dbef-428f-8163-d98f1f36d98a","resolution":{"observed_at":"2026-08-06T05:46:56.063385Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T05:46:56.049067Z","title":null,"venue":null,"work_id":"065cc4f0-f281-4d89-8bcb-a7edba3a31f7","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.735214Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:75b6828c6ab9491fd9c07f7b7a985f702b1a1c151f54e78b8de27166b6f0d371","observation_id":"212c74e3-31f5-422d-a1e8-dfbf170fe75c","resolution":{"observed_at":"2026-08-06T05:46:56.052861Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.738849Z","title":null,"venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.738849Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:63f43477b98e22d72a200e0b731739a4833876303bff02c636b007d64ec48e6d","observation_id":"b8ab8f0b-da3c-4ef9-97b7-1bb4707c26d0","resolution":{"observed_at":"2026-08-06T05:46:52.738849Z","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":"2026-08-06T05:46:56.038632Z","title":null,"venue":null,"work_id":"c9b4dd66-7749-4c01-81eb-46229d8177c4","year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.745701Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:0c40810f6fef08879280c6f9cf6bdfce84beb206a84ea4e93e6c643c2fc62d0b","observation_id":"52e1a219-a190-47f3-904b-49f4efa0faee","resolution":{"observed_at":"2026-08-06T05:46:56.042273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.752290Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.752290Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9ae43d857d8ece26ae3bd0c5b53c5abdc5afae54e9cb1d7135d4da99fb2a6031","observation_id":"9ee3a4f5-6b40-4cc0-b3d6-85c2da624758","resolution":{"observed_at":"2026-08-06T05:46:52.752290Z","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":"2026-08-06T05:46:56.028707Z","title":null,"venue":null,"work_id":"0e8794d1-103c-4aa0-8e30-5ab6a7e891ed","year":2020},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.756249Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:580a499469af5761d9401e1604951367385e7ede4b8522c981accd213bb56753","observation_id":"a41889e1-f902-49b6-a36b-cd7a3ba8de85","resolution":{"observed_at":"2026-08-06T05:46:56.032269Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0377-2217(02)00769-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"European Journal of Operational Research","work_id":"0bd21051-a17a-4b23-a1a8-08311efc8032","year":2003},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.764546Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:6dbef8390ffa8db31f6fd1938dffc6e52f68c8defc3a3d03d39d253efe57461d","observation_id":"b650a0ca-8ef0-4d79-b613-36d336b9fa24","resolution":{"observed_at":"2026-08-06T05:46:52.851085Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.768030Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.768030Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:12fb3af0d3ef872bcceb69237bc2298ee5b453d8c295630fc2e17110d46591df","observation_id":"1814b266-b0e2-4f40-9e24-d765cfc93e2c","resolution":{"observed_at":"2026-08-06T05:46:52.768030Z","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":"10.1007/s10851-006-8530-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Automated Software Engineering","work_id":"0d6f8d53-a06b-4b36-8876-aa4c117671e3","year":2006},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.771146Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:eafe8582122c37e40fc60014fe52e9b5b8e053da746fd72df9b5864e9e6ffa4d","observation_id":"a349a06b-761b-42eb-a34b-13f761483370","resolution":{"observed_at":"2026-08-06T05:46:52.840212Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T05:46:56.019142Z","title":null,"venue":null,"work_id":"d5be5d1d-b403-45be-8677-bb39206bab98","year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.774364Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:1d727e225e29eba69fbe41994dd3137399e9eb1c6767534c666d8ed3db0137cd","observation_id":"2aca0321-1be4-41c1-ab4f-9364ee03e3a1","resolution":{"observed_at":"2026-08-06T05:46:56.022375Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18181","last_updated":"2024-09-25T06:47:10Z","snapshot_observed_at":"2026-08-12T23:34:40.184907Z","submitted_at":"2024-06-26T08:57:03Z","title":"On the Evaluation of Large Language Models in Unit Test Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18181","snapshot_observed_at":"2026-08-06T05:46:52.780699Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.780699Z"},"links":{"cited_paper":"/paper/2406.18181","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:b6de847ef0f36fc2eccd02cba2bdca162ee0c9f56892002189cc2851e8b3ef64","observation_id":"fa3cc964-ec35-49df-a8f3-b445fbb276cb","resolution":{"observed_at":"2026-08-06T05:46:52.780699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11453","last_updated":"2024-03-19T14:44:22Z","snapshot_observed_at":"2026-08-13T04:16:51.355695Z","submitted_at":"2024-02-18T04:28:28Z","title":"MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11453","snapshot_observed_at":"2026-08-06T05:46:52.784111Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.784111Z"},"links":{"cited_paper":"/paper/2402.11453","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:58e792dc290771b2154b4c236c5199366eb925144b0b7495b6e6fc33115666b2","observation_id":"8f87e654-d63a-4648-aa64-a12741b05432","resolution":{"observed_at":"2026-08-06T05:46:52.784111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00828","last_updated":"2024-12-01T14:28:48Z","snapshot_observed_at":"2026-08-12T16:57:33.673659Z","submitted_at":"2024-12-01T14:28:48Z","title":"What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00828","snapshot_observed_at":"2026-08-06T05:46:52.787582Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.787582Z"},"links":{"cited_paper":"/paper/2412.00828","citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:acb675e0975344b6989f99c8f3d737a72ee6db9a169fc4be4900590747e7f09a","observation_id":"2ab52cda-6ac9-4b8a-870e-ef50395d973f","resolution":{"observed_at":"2026-08-06T05:46:52.787582Z","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":"2026-08-06T05:46:56.007182Z","title":null,"venue":null,"work_id":"87c36091-9a5b-42e0-a5c7-da003d9bacb5","year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.791277Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:5ef50bd0e0d061d1688718630579bf00458568b59242e54c54207e58c3a2efc4","observation_id":"1400e900-067a-4c5c-9f7e-d8336c6ba46e","resolution":{"observed_at":"2026-08-06T05:46:56.011567Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.794835Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.794835Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:8466398d999d779f9d77bc049189cbed7845858fab6c897cb943014394ee93cb","observation_id":"1fbeda44-0bf9-42f8-8ba8-0710634b6473","resolution":{"observed_at":"2026-08-06T05:46:52.794835Z","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":"2026-08-06T05:46:52.797971Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.797971Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9d0926221b40c829759b52d41bfba6aa10ac8929e0bb7bc2325db2e216eab8f8","observation_id":"7baafeb0-9f43-413b-b8fd-9715e0d9a86c","resolution":{"observed_at":"2026-08-06T05:46:52.797971Z","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":"2026-08-06T05:46:52.801103Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.801103Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:410889749de2584055ef481fcbc73c0ee82da3e355defc0b32fc3e28ea73bfd0","observation_id":"7a57882f-b89c-4797-b077-be5ca1f911a3","resolution":{"observed_at":"2026-08-06T05:46:52.801103Z","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":"2023.10346","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.994885Z","title":null,"venue":null,"work_id":"6fa9994c-1db4-4a92-bfce-f3e7fc5e896a","year":2023},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.804271Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:e735b4429f6ec3bccc8851af10d81d534bea1312b6ba580eba5964c66472c6fa","observation_id":"fe875e03-4e44-4b15-a1f1-ebf35259d044","resolution":{"observed_at":"2026-08-06T05:46:53.000625Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T05:46:55.994890Z","title":null,"venue":null,"work_id":"42219b0a-a2ba-4f32-93c6-7b4152165010","year":2020},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.808161Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:99e8823ba5cacda0a8274047881a5ae1ae553ba3c835e0002cc84c3287bd5e21","observation_id":"72e1f39d-8d23-4958-944e-f8b493ec703d","resolution":{"observed_at":"2026-08-06T05:46:55.998516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1990.20518","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:55.839465Z","title":null,"venue":null,"work_id":"eac487b1-d665-42d1-be46-62e653e9ac7d","year":1990},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":173,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.496914Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9569b3a169fa901083f6cffe757297eddccdd3838e760aa16d55bc2cc842601c","observation_id":"adec1b90-0894-4ef7-8522-536a2d97f819","resolution":{"observed_at":"2026-08-06T05:46:55.844248Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:52.731838Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":207,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.731838Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:851010444f9a6afc286844b103a9d08ca3b2220f8135df51c6b37e255d6eb918","observation_id":"24de5332-9776-47a7-ad74-ea79c03ec842","resolution":{"observed_at":"2026-08-06T05:46:52.731838Z","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":"2026-08-06T05:46:52.760380Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":1409,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.760380Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:00fa033f1d20411520df5175a25af415fc519ad9238cecafca372c3d5dcb9d79","observation_id":"a532bc3c-035e-456e-828c-9e90a76d1d8e","resolution":{"observed_at":"2026-08-06T05:46:52.760380Z","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":"2026-08-06T05:46:52.561549Z","title":"In Optimising the Software Development Process with Artificial Intelligence","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.561549Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:7d52ab832b5b337868a74f8fbfa6c3bd235c8673df4e0c8473bf4eb07d469463","observation_id":"60f57953-649d-49c8-a449-ba63883e8fd5","resolution":{"observed_at":"2026-08-06T05:46:52.561549Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T05:46:52.642192Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":2052,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.642192Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:a0fedc10aab7a4c2d5db3707fd8f955354bf70e05419817e160f78443a13f8cc","observation_id":"1a516c88-2acd-46b1-90ff-7fab930429d8","resolution":{"observed_at":"2026-08-06T05:46:52.642192Z","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":"2026-08-06T05:46:52.777575Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":2964,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.777575Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:3764aadfe3510644fb1483a9bf82c970de27c35740105a102dd12c772844c613","observation_id":"b570f8b2-ca54-41f7-876e-c23ca237226b","resolution":{"observed_at":"2026-08-06T05:46:52.777575Z","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":"2026-08-06T05:46:52.689309Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts","version":1},"reference_index":4424,"source":"pdf_text","source_observed_at":"2026-08-06T05:46:52.689309Z"},"links":{"citing_paper":"/paper/2508.01279"},"observation_digest":"sha256:9aa7241064cd24c86ae14690c193f4ed08ef9b0f0e7b445c6eb437a2d8f9dd12","observation_id":"bb454158-62c5-4eb4-a821-6468a218c6a9","resolution":{"observed_at":"2026-08-06T05:46:52.689309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.01279","last_updated":"2025-08-02T09:19:16Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-10T22:15:02.971681Z","submitted_at":"2025-08-02T09:19:16Z","title":"ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts"},"reference_resolution":{"displayed":90,"state_counts":{"malformed_identifier":4,"metadata_mismatch":12,"parse_uncertain":0,"unresolved":65,"verified_exact":8,"verified_fuzzy":1},"total_outbound_references":90},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2508.01279."}