{"as_of":"2026-08-23T08:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4405972cebe6c29fda30cf45f4e3c120af68206d6e083ccd97406580009db699","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:43:08.195471Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T13:13:31.583222Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T13:14:40.459885Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"cited_work":{"arxiv_id":"2508.06484","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.06484","snapshot_observed_at":"2026-06-30T13:14:40.459885Z","title":null,"venue":null,"work_id":"71a0acd1-4067-4b83-81f0-42500ca2c741","year":2025},"citing_paper":{"arxiv_id":"2605.24521","last_updated":"2026-05-23T11:18:11Z","snapshot_observed_at":"2026-08-14T21:55:05.943087Z","submitted_at":"2026-05-23T11:18:11Z","title":"From Prompting to Verification: How Experience Shapes Vibe Coding Practices","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-30T13:13:31.583222Z"},"links":{"cited_paper":"/paper/2508.06484","citing_paper":"/paper/2605.24521"},"observation_digest":"sha256:34e8420edab4d5055a5af44de5be252762b91fbbe7d140e0156794bd3cf97e96","observation_id":"a3db8901-fc00-4907-b427-6af52d9e9f68","resolution":{"observed_at":"2026-06-30T13:14:40.461432Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.06484/citation-record","integrity":"/paper/2508.06484/integrity","json":"/paper/2508.06484/citation-record.json","paper":"/paper/2508.06484"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.03477","last_updated":"2025-04-20T17:54:49Z","snapshot_observed_at":"2026-08-19T07:46:55.009049Z","submitted_at":"2024-11-05T20:01:20Z","title":"CrowdGenUI: Aligning LLM-Based UI Generation with Crowdsourced User Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03477","snapshot_observed_at":"2026-08-05T22:43:06.125937Z","title":"Crowdgenui: Enhancing llm-based ui widget generation with a crowdsourced preference library,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.125937Z"},"links":{"cited_paper":"/paper/2411.03477","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:f72d1622e7aa21c4d02fd493b10bcfc0cad1fb9aa66a16fad0d183d615e52cbb","observation_id":"71e457e7-ab3a-40ee-ae1f-c5cdff0b9b0b","resolution":{"observed_at":"2026-08-05T22:43:06.125937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11328","last_updated":"2024-12-15T22:17:30Z","snapshot_observed_at":"2026-08-17T10:03:57.001651Z","submitted_at":"2024-12-15T22:17:30Z","title":"Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11328","snapshot_observed_at":"2026-08-05T22:43:06.216309Z","title":"Zero-shot prompting approaches for llm-based graphical user interface generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.216309Z"},"links":{"cited_paper":"/paper/2412.11328","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:ca4fb393828e2bc472da921540d6f005aa38a8f8cc93a5502d6b353cdd82ea0b","observation_id":"264d4343-323e-4f4a-bdca-ce39793582f9","resolution":{"observed_at":"2026-08-05T22:43:06.216309Z","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":"2026-08-05T22:43:06.326183Z","title":"“what it wants me to say","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.326183Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:0a6b41fc5b5f3286f36e06770e653e42ae35a1300ed06e489b4afda600d30786","observation_id":"e3c1ca37-182d-4ea4-a460-a6515fe74f1d","resolution":{"observed_at":"2026-08-05T22:43:06.326183Z","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":"2026-08-05T22:43:09.055415Z","title":"InsightPilot: An LLM-empowered automated data exploration system,","venue":null,"work_id":"bc5f0f7a-97c4-49ed-88a4-210372c49dec","year":2023},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.379312Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:c81c974b9cc5c683551fd4f1c8e82f28360525df1a4127577bcf04131a5dee30","observation_id":"418ec61d-40ef-4721-9650-1851e1805f1f","resolution":{"observed_at":"2026-08-05T22:43:09.058442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18679","last_updated":"2024-10-15T15:52:57Z","snapshot_observed_at":"2026-08-16T14:14:23.095590Z","submitted_at":"2024-02-28T19:49:55Z","title":"Data Interpreter: An LLM Agent For Data Science","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18679","snapshot_observed_at":"2026-08-05T22:43:06.429089Z","title":"Data interpreter: An llm agent for data science,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.429089Z"},"links":{"cited_paper":"/paper/2402.18679","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:0cd16164b64906f7ccda3451a7808aee1dc0a319ceae0c3de0cc751f7d1240e9","observation_id":"74362c25-4323-41ea-ba45-4946aef49ef4","resolution":{"observed_at":"2026-08-05T22:43:06.429089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17453","last_updated":"2024-05-28T06:50:38Z","snapshot_observed_at":"2026-08-16T14:14:55.908309Z","submitted_at":"2024-02-27T12:26:07Z","title":"DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17453","snapshot_observed_at":"2026-08-05T22:43:06.482387Z","title":"Ds- agent: Automated data science by empowering large language models with case-based reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.482387Z"},"links":{"cited_paper":"/paper/2402.17453","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:95c8a709513172599cc4182703d6f7a4b40d25c39458a9d1d0ecac144a119508","observation_id":"25a8fab7-3e11-4586-a0d8-cb4cd88ce8e9","resolution":{"observed_at":"2026-08-05T22:43:06.482387Z","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":"2026-08-05T22:43:06.558388Z","title":"Alchemist: Llm-aided end-user development of robot applications,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.558388Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:36c3c7d8f19f33b554f0e189feabf656996e7fe8f386f8b431d88e7e95e43911","observation_id":"6bc5fc33-6ebd-4177-b712-86e7532f16f8","resolution":{"observed_at":"2026-08-05T22:43:06.558388Z","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":"2026-08-05T22:43:09.046759Z","title":"Cocobo: Exploring large language models as the engine for end-user robot programming,","venue":null,"work_id":"9c847fa5-022f-49ea-9bbe-6e50756325db","year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.649591Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:9e0b51cd4e590e734c4042df2130e1d2391a6867c38a8dd31abd94c0f3abe06c","observation_id":"6764749f-fe83-4c09-b013-d44491eeffe6","resolution":{"observed_at":"2026-08-05T22:43:09.049948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:09.037947Z","title":"What-if analysis for business users: Current practices and future opportunities,","venue":null,"work_id":"706699ec-55d5-45db-96df-200189f0441d","year":2022},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.707937Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:01f913e5c97dcdd9221d8084bdc5c212528ca3efd3d2b73095ab095d28514151","observation_id":"4f6632d2-c358-4d32-ae8c-ca22a472f064","resolution":{"observed_at":"2026-08-05T22:43:09.040899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:09.029246Z","title":"Benchmarking data science agents,","venue":null,"work_id":"de6505f2-5a05-4395-9002-70c8a715e712","year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.721139Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:45c62db3e9ba198e355ecdf877f639967338f7d20648201c3d5ee9cb1c9d3c70","observation_id":"2bac9d9b-c006-44e9-b1c2-15cdc3188b9c","resolution":{"observed_at":"2026-08-05T22:43:09.032123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.11501","last_updated":"2022-11-18T17:20:27Z","snapshot_observed_at":"2026-08-16T16:15:02.405696Z","submitted_at":"2022-11-18T17:20:27Z","title":"DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.11501","snapshot_observed_at":"2026-08-05T22:43:06.783839Z","title":"Ds-1000: A natural and reliable benchmark for data science code generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.783839Z"},"links":{"cited_paper":"/paper/2211.11501","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:d0b22a831b465a03c54b7cdcb43d6addd37792389e989f7e66618cc466415ba4","observation_id":"45a1399d-eb01-43ad-b70d-e48153e47782","resolution":{"observed_at":"2026-08-05T22:43:06.783839Z","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":"2026-08-05T22:43:09.020412Z","title":"Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models,","venue":null,"work_id":"e95a7f6f-ae54-4cf3-b52d-9874b3d61331","year":2022},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.849173Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:6db0f2e31b19c9c05852292ae0a66efa551eae814bb9cad21d56a1e6019c89ee","observation_id":"32d4c39d-d3fe-4cfb-adf7-42067f8ab98a","resolution":{"observed_at":"2026-08-05T22:43:09.023750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:06.962701Z","title":"Github copilot ai pair programmer: Asset or liability?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.962701Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:1c14cce3d68653320cefab33d8d9b8b7398109193ac7c5e9fd885664f4e5f698","observation_id":"a969b79d-4294-483d-9912-012a5437ce2a","resolution":{"observed_at":"2026-08-05T22:43:06.962701Z","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":"2026-08-05T22:43:09.010901Z","title":"Non-expert programmers in the generative ai future,","venue":null,"work_id":"cf425382-d393-4c10-ad29-ce6f85b5fb3c","year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.012042Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:2a6271291d44104284ddd2337b4791e74dc7aac3e01dba5e140ad28874f615b4","observation_id":"afbd5ed8-327b-4b06-9dd9-5db49bb0dfa2","resolution":{"observed_at":"2026-08-05T22:43:09.013926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:09.002058Z","title":"Pwr: Exploring the role of representations in conversational programming,","venue":null,"work_id":"39595680-e009-4fea-b347-80b6db2407b3","year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.066385Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:713f4677824935f7aa0a06b9985de34609361bf342e0882e51471f7ea82869b3","observation_id":"6ce52fbf-0bca-42f8-8bc7-7f789c2ac86c","resolution":{"observed_at":"2026-08-05T22:43:09.005196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:08.992701Z","title":"Intelliexplain: Enhancing conversational code generation for non-professional programmers,","venue":null,"work_id":"a264feab-c315-4523-b8c7-fa4dfbf0899b","year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.163052Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:29c800d23d7252186a50281ea72426983fb6ba7a7d2e997d3c6fc5c4acf20b58","observation_id":"b6db48dc-24af-472c-baa5-6b009054df1a","resolution":{"observed_at":"2026-08-05T22:43:08.996057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:07.289359Z","title":"COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code ,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.289359Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:b0a6f4406ad9bbeefccb020c8b8b5ca3d7b67fcf23ebce5d1a1d2fef64ee54ed","observation_id":"c4219e82-ebac-4fdb-8e79-a7d445c11c24","resolution":{"observed_at":"2026-08-05T22:43:07.289359Z","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":"2026-08-05T22:43:08.983326Z","title":"Does the whole exceed its parts? the effect of ai explanations on complementary team performance,","venue":null,"work_id":"dc8319c6-0502-4f5f-9f95-0d01578ac2b7","year":2021},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.382726Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:d6d50888e9a41f7b2212b1fb6b6ad9017919c2d367f1a8107294ad5658e3c6fc","observation_id":"c5506b99-56de-4073-994f-4db5ea202002","resolution":{"observed_at":"2026-08-05T22:43:08.986314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:07.581942Z","title":"To rely or not to rely? evaluating interventions for appropriate reliance on large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.581942Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:d69befaa0c0c896c5f1406ce47fb38d6c4ab118c50cf886ef1a04deeaed736a3","observation_id":"30cc9063-2b72-4c65-9ae0-313d3c97bfff","resolution":{"observed_at":"2026-08-05T22:43:07.581942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10250","last_updated":"2024-10-08T14:07:25Z","snapshot_observed_at":"2026-08-16T13:52:05.960982Z","submitted_at":"2024-05-16T16:55:06Z","title":"IntelliExplain: Enhancing Conversational Code Generation for Non-Professional Programmers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10250","snapshot_observed_at":"2026-08-05T22:43:07.207471Z","title":"Available: https://arxiv.org/abs/2405.10250","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.207471Z"},"links":{"cited_paper":"/paper/2405.10250","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:a150313c62595858d8ec6ccb92252dde668b48518338a900327eff3c93a2c026","observation_id":"589cb01e-0a30-43ca-8c3a-2975fef8b5dc","resolution":{"observed_at":"2026-08-05T22:43:07.207471Z","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":"2026-08-05T22:43:08.973794Z","title":"Intercode: Standardizing and benchmarking interactive coding with execution feedback,","venue":null,"work_id":"27f43e48-6674-42aa-b76e-6e834ca95f73","year":2023},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.766468Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:e6b9f6ddf988c0121eeffb1876596e06e5c24d81d06446785d72e7a126553d57","observation_id":"d51f4fef-86a6-49f9-8485-0ae75280d4fd","resolution":{"observed_at":"2026-08-05T22:43:08.976965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08468","last_updated":"2023-09-01T17:37:42Z","snapshot_observed_at":"2026-08-16T19:12:37.135031Z","submitted_at":"2023-02-16T18:23:22Z","title":"LEVER: Learning to Verify Language-to-Code Generation with Execution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08468","snapshot_observed_at":"2026-08-05T22:43:07.847761Z","title":"Lever: Learning to verify language-to-code generation with execution,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.847761Z"},"links":{"cited_paper":"/paper/2302.08468","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:b2799b4d004652dc25df66c45d161583289ca99f772ccd7b789df79a868a9243","observation_id":"89f661c1-3dc5-4aee-8186-6d08fd6a3d59","resolution":{"observed_at":"2026-08-05T22:43:07.847761Z","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":"2026-08-05T22:43:08.964225Z","title":"Marketing mix model: In- sights and optimization,","venue":null,"work_id":"e44d0f43-a1a2-4298-80d3-177c283a3eb6","year":2019},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.879630Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:e011c05ecb4e42e50d1f44a82485a9931ced6c83fef3d731368a58d1568d10e4","observation_id":"cf3952e5-0d77-45e5-bc96-d49dcaa2a360","resolution":{"observed_at":"2026-08-05T22:43:08.967651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:08.955181Z","title":"The state of the art in end-user software engineering,","venue":null,"work_id":"2488eb75-e6e2-4f3c-ad74-46e80c29069b","year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.912290Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:102a6304027134907c504b65d4180472a74d6c326a7a1c46c6386567ac303bce","observation_id":"8ce55fc5-fdf5-4bc5-a515-4ccfe8e76fe4","resolution":{"observed_at":"2026-08-05T22:43:08.958287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09726","last_updated":"2024-07-13T00:16:26Z","snapshot_observed_at":"2026-08-16T13:34:35.857413Z","submitted_at":"2024-07-13T00:16:26Z","title":"On Mitigating Code LLM Hallucinations with API Documentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09726","snapshot_observed_at":"2026-08-05T22:43:07.728972Z","title":"On mitigating code llm hallucinations with api documentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.728972Z"},"links":{"cited_paper":"/paper/2407.09726","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:5f2125eb61dd1903e4e421ae72ce9e11763857143dfc7bed0e77883f36419552","observation_id":"d000af31-1cc7-4ac5-a2c4-c40f692b02dd","resolution":{"observed_at":"2026-08-05T22:43:07.728972Z","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":"2026-08-05T22:43:08.946393Z","title":"Prolific,","venue":null,"work_id":"dbe16c4e-7153-4872-9534-0f13e692b9f3","year":2014},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:08.192544Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:5f87432aeb256a9a7fab87fce0e804651bfa3a1797b88b81c0d47ec5a9cc9611","observation_id":"3eeab36b-6a40-4fcf-8af0-f44703f5f56a","resolution":{"observed_at":"2026-08-05T22:43:08.949171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:08.936534Z","title":"Statistical methods for research workers,","venue":null,"work_id":"f8bf26f9-80c6-4bc2-a88f-88126d01f0de","year":1970},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:08.195471Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:6192c8ca705fe1269d9390d3623a3f23764fcf5b9dab6813f8e0d87bd0eb1b3d","observation_id":"9d39bd8e-c259-4781-9bd3-16060db1ffe9","resolution":{"observed_at":"2026-08-05T22:43:08.939983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/vlhcc.2010.18","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Young people’s descriptions of computational rules in role-playing games: An empirical study,","venue":null,"work_id":"87965827-9b25-4cd6-bad7-bf44927e7172","year":2010},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:08.142809Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:8284ed6a5e4f839d27c80ee2c956206cb625c7cd61c7d5acba07dfe712f0a6a8","observation_id":"ae6aeb46-2276-405c-bc27-c618febba2a1","resolution":{"observed_at":"2026-08-05T22:43:08.225780Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2649.19226","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:43:08.303029Z","title":"Available: https://doi.org/10.1145/1922649.1922658","venue":null,"work_id":"d422bdd8-1601-4948-8860-c6958c3dc4d5","year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:08.078372Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:2562c1228b0d060b7de6d86cf3c7ad4f66488ddd73dab9a0d7715c324fa62753","observation_id":"05b0cf93-3721-4175-8b76-089ed918f065","resolution":{"observed_at":"2026-08-05T22:43:08.308295Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-05T22:43:07.507937Z","title":"Available: https://doi.org/10.1145/3411764.3445717","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.507937Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:69d50797a486b531c0e4d8ed81dc6665231df068da8dbb63a6607fbd61eec888","observation_id":"0a0b9f6d-0158-4ed8-964c-2276745d4363","resolution":{"observed_at":"2026-08-05T22:43:07.507937Z","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":"2026-08-05T22:43:06.913576Z","title":"Available: https://doi.org/10.1145/3491101.3519665","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:06.913576Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:ad3775ca0ade1b1d1fa4acdf7620040f00c5f2611c636a111545899b6a94038d","observation_id":"206c4eb2-64d3-4aca-b7ad-33928fdd9b2f","resolution":{"observed_at":"2026-08-05T22:43:06.913576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.09495","last_updated":"2023-09-18T05:38:23Z","snapshot_observed_at":"2026-08-17T04:05:38.492824Z","submitted_at":"2023-09-18T05:38:23Z","title":"PwR: Exploring the Role of Representations in Conversational Programming","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.09495","snapshot_observed_at":"2026-08-05T22:43:07.114049Z","title":"Available: https://arxiv.org/abs/2309.09495","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.114049Z"},"links":{"cited_paper":"/paper/2309.09495","citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:dcf5f1a5a7b80171975d82c83ee3e9ce7d9fcc91e7cf7ba456e1b058403ca726","observation_id":"aeef1b93-2ef2-4fd9-b0f7-decb0f5dd73a","resolution":{"observed_at":"2026-08-05T22:43:07.114049Z","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":"2026-08-05T22:43:07.035390Z","title":"Available: https://doi.org/10.1145/3663384.3663393","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T22:43:07.035390Z"},"links":{"citing_paper":"/paper/2508.06484"},"observation_digest":"sha256:377123624dcefe06a30b60cac95391e743f91fd8c9854c3b121d7e7fac079e36","observation_id":"f6938a02-887a-436d-b0ca-f0dc12b9116c","resolution":{"observed_at":"2026-08-05T22:43:07.035390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.06484","last_updated":"2025-08-08T17:49:22Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-15T02:32:51.259758Z","submitted_at":"2025-08-08T17:49:22Z","title":"Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":33},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2508.06484."}