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Paper Citation Record · LEDGER

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.06484 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:43:08.195471Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T13:13:31.583222Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T13:14:40.459885Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71e457e7-ab3a-40ee-ae1f-c5cdff0b9b0b · outbound

This paper cites CrowdGenUI: Aligning LLM-Based UI Generation with Crowdsourced User Preferences.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data CrowdGenUI: Aligning LLM-Based UI Generation with Crowdsourced User Preferences

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.125937Z digest=sha256:f72d1622e7aa21c4d02fd493b10bcfc0cad1fb9aa66a16fad0d183d615e52cbb

Observation 264d4343-323e-4f4a-bdca-ce39793582f9 · outbound

This paper cites Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation

Reference 2

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no resolver link, observed 2026-08-05T22:43:06.216309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.216309Z digest=sha256:ca4fb393828e2bc472da921540d6f005aa38a8f8cc93a5502d6b353cdd82ea0b

Observation e3c1ca37-182d-4ea4-a460-a6515fe74f1d · outbound

This paper cites “what it wants me to say.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data “what it wants me to say

Reference 3

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T22:43:06.326183Z digest=sha256:0a6b41fc5b5f3286f36e06770e653e42ae35a1300ed06e489b4afda600d30786

Observation 418ec61d-40ef-4721-9650-1851e1805f1f · outbound

This paper cites InsightPilot: An LLM-empowered automated data exploration system,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data InsightPilot: An LLM-empowered automated data exploration system,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.058442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:06.379312Z digest=sha256:c81c974b9cc5c683551fd4f1c8e82f28360525df1a4127577bcf04131a5dee30

Observation 74362c25-4323-41ea-ba45-4946aef49ef4 · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Data Interpreter: An LLM Agent For Data Science

Reference 5

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no resolver link, observed 2026-08-05T22:43:06.429089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.429089Z digest=sha256:0cd16164b64906f7ccda3451a7808aee1dc0a319ceae0c3de0cc751f7d1240e9

Observation 25a8fab7-3e11-4586-a0d8-cb4cd88ce8e9 · outbound

This paper cites DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 6

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no resolver link, observed 2026-08-05T22:43:06.482387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.482387Z digest=sha256:95c8a709513172599cc4182703d6f7a4b40d25c39458a9d1d0ecac144a119508

Observation 6bc5fc33-6ebd-4177-b712-86e7532f16f8 · outbound

This paper cites Alchemist: Llm-aided end-user development of robot applications,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Alchemist: Llm-aided end-user development of robot applications,

Reference 7

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no resolver link, observed 2026-08-05T22:43:06.558388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.558388Z digest=sha256:36c3c7d8f19f33b554f0e189feabf656996e7fe8f386f8b431d88e7e95e43911

Observation 6764749f-fe83-4c09-b013-d44491eeffe6 · outbound

This paper cites Cocobo: Exploring large language models as the engine for end-user robot programming,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Cocobo: Exploring large language models as the engine for end-user robot programming,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.049948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:06.649591Z digest=sha256:9e0b51cd4e590e734c4042df2130e1d2391a6867c38a8dd31abd94c0f3abe06c

Observation 4f6632d2-c358-4d32-ae8c-ca22a472f064 · outbound

This paper cites What-if analysis for business users: Current practices and future opportunities,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data What-if analysis for business users: Current practices and future opportunities,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.040899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:06.707937Z digest=sha256:01f913e5c97dcdd9221d8084bdc5c212528ca3efd3d2b73095ab095d28514151

Observation 2bac9d9b-c006-44e9-b1c2-15cdc3188b9c · outbound

This paper cites Benchmarking data science agents,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Benchmarking data science agents,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.032123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:06.721139Z digest=sha256:45c62db3e9ba198e355ecdf877f639967338f7d20648201c3d5ee9cb1c9d3c70

Observation 45a1399d-eb01-43ad-b70d-e48153e47782 · outbound

This paper cites DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Reference 11

Resolution
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no resolver link, observed 2026-08-05T22:43:06.783839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.783839Z digest=sha256:d0b22a831b465a03c54b7cdcb43d6addd37792389e989f7e66618cc466415ba4

Observation 32d4c39d-d3fe-4cfb-adf7-42067f8ab98a · outbound

This paper cites Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.023750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:06.849173Z digest=sha256:6db0f2e31b19c9c05852292ae0a66efa551eae814bb9cad21d56a1e6019c89ee

Observation a969b79d-4294-483d-9912-012a5437ce2a · outbound

This paper cites Github copilot ai pair programmer: Asset or liability?.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Github copilot ai pair programmer: Asset or liability?

Reference 13

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no resolver link, observed 2026-08-05T22:43:06.962701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.962701Z digest=sha256:1c14cce3d68653320cefab33d8d9b8b7398109193ac7c5e9fd885664f4e5f698

Observation afbd5ed8-327b-4b06-9dd9-5db49bb0dfa2 · outbound

This paper cites Non-expert programmers in the generative ai future,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Non-expert programmers in the generative ai future,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.013926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.012042Z digest=sha256:2a6271291d44104284ddd2337b4791e74dc7aac3e01dba5e140ad28874f615b4

Observation 6ce52fbf-0bca-42f8-8bc7-7f789c2ac86c · outbound

This paper cites Pwr: Exploring the role of representations in conversational programming,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Pwr: Exploring the role of representations in conversational programming,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:09.005196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.066385Z digest=sha256:713f4677824935f7aa0a06b9985de34609361bf342e0882e51471f7ea82869b3

Observation b6db48dc-24af-472c-baa5-6b009054df1a · outbound

This paper cites Intelliexplain: Enhancing conversational code generation for non-professional programmers,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Intelliexplain: Enhancing conversational code generation for non-professional programmers,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:08.996057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.163052Z digest=sha256:29c800d23d7252186a50281ea72426983fb6ba7a7d2e997d3c6fc5c4acf20b58

Observation c4219e82-ebac-4fdb-8e79-a7d445c11c24 · outbound

This paper cites COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code ,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code ,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.289359Z digest=sha256:b0a6f4406ad9bbeefccb020c8b8b5ca3d7b67fcf23ebce5d1a1d2fef64ee54ed

Observation c5506b99-56de-4073-994f-4db5ea202002 · outbound

This paper cites Does the whole exceed its parts? the effect of ai explanations on complementary team performance,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Does the whole exceed its parts? the effect of ai explanations on complementary team performance,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:08.986314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.382726Z digest=sha256:d6d50888e9a41f7b2212b1fb6b6ad9017919c2d367f1a8107294ad5658e3c6fc

Observation 30cc9063-2b72-4c65-9ae0-313d3c97bfff · outbound

This paper cites To rely or not to rely? evaluating interventions for appropriate reliance on large language models,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data To rely or not to rely? evaluating interventions for appropriate reliance on large language models,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.581942Z digest=sha256:d69befaa0c0c896c5f1406ce47fb38d6c4ab118c50cf886ef1a04deeaed736a3

Observation 589cb01e-0a30-43ca-8c3a-2975fef8b5dc · outbound

This paper cites IntelliExplain: Enhancing Conversational Code Generation for Non-Professional Programmers.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data IntelliExplain: Enhancing Conversational Code Generation for Non-Professional Programmers

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.207471Z digest=sha256:a150313c62595858d8ec6ccb92252dde668b48518338a900327eff3c93a2c026

Observation d51f4fef-86a6-49f9-8485-0ae75280d4fd · outbound

This paper cites Intercode: Standardizing and benchmarking interactive coding with execution feedback,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Intercode: Standardizing and benchmarking interactive coding with execution feedback,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:08.976965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.766468Z digest=sha256:e6b9f6ddf988c0121eeffb1876596e06e5c24d81d06446785d72e7a126553d57

Observation 89f661c1-3dc5-4aee-8186-6d08fd6a3d59 · outbound

This paper cites LEVER: Learning to Verify Language-to-Code Generation with Execution.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.847761Z digest=sha256:b2799b4d004652dc25df66c45d161583289ca99f772ccd7b789df79a868a9243

Observation cf3952e5-0d77-45e5-bc96-d49dcaa2a360 · outbound

This paper cites Marketing mix model: In- sights and optimization,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Marketing mix model: In- sights and optimization,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:08.967651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.879630Z digest=sha256:e011c05ecb4e42e50d1f44a82485a9931ced6c83fef3d731368a58d1568d10e4

Observation 8ce55fc5-fdf5-4bc5-a515-4ccfe8e76fe4 · outbound

This paper cites The state of the art in end-user software engineering,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data The state of the art in end-user software engineering,

Reference 24

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raw_fallback, observed 2026-08-05T22:43:08.958287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:07.912290Z digest=sha256:102a6304027134907c504b65d4180472a74d6c326a7a1c46c6386567ac303bce

Observation d000af31-1cc7-4ac5-a2c4-c40f692b02dd · outbound

This paper cites On Mitigating Code LLM Hallucinations with API Documentation.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data On Mitigating Code LLM Hallucinations with API Documentation

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.728972Z digest=sha256:5f2125eb61dd1903e4e421ae72ce9e11763857143dfc7bed0e77883f36419552

Observation 3eeab36b-6a40-4fcf-8af0-f44703f5f56a · outbound

This paper cites Prolific,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Prolific,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:08.949171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:08.192544Z digest=sha256:5f87432aeb256a9a7fab87fce0e804651bfa3a1797b88b81c0d47ec5a9cc9611

Observation 9d39bd8e-c259-4781-9bd3-16060db1ffe9 · outbound

This paper cites Statistical methods for research workers,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Statistical methods for research workers,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:43:08.939983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:08.195471Z digest=sha256:6192c8ca705fe1269d9390d3623a3f23764fcf5b9dab6813f8e0d87bd0eb1b3d

Observation ae6aeb46-2276-405c-bc27-c618febba2a1 · outbound

This paper cites Young people’s descriptions of computational rules in role-playing games: An empirical study,.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Young people’s descriptions of computational rules in role-playing games: An empirical study,

Reference 31

Resolution
verified exact
doi, observed 2026-08-05T22:43:08.225780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:08.142809Z digest=sha256:8284ed6a5e4f839d27c80ee2c956206cb625c7cd61c7d5acba07dfe712f0a6a8

Observation 05b0cf93-3721-4175-8b76-089ed918f065 · outbound

This paper cites Available: https://doi.org/10.1145/1922649.1922658.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Available: https://doi.org/10.1145/1922649.1922658

Reference 2011

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metadata mismatch
raw_fallback, observed 2026-08-05T22:43:08.308295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:43:08.078372Z digest=sha256:2562c1228b0d060b7de6d86cf3c7ad4f66488ddd73dab9a0d7715c324fa62753

Observation 0a0b9f6d-0158-4ed8-964c-2276745d4363 · outbound

This paper cites Available: https://doi.org/10.1145/3411764.3445717.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Available: https://doi.org/10.1145/3411764.3445717

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.507937Z digest=sha256:69d50797a486b531c0e4d8ed81dc6665231df068da8dbb63a6607fbd61eec888

Observation 206c4eb2-64d3-4aca-b7ad-33928fdd9b2f · outbound

This paper cites Available: https://doi.org/10.1145/3491101.3519665.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Available: https://doi.org/10.1145/3491101.3519665

Reference 2022

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unresolved
no resolver link, observed 2026-08-05T22:43:06.913576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:06.913576Z digest=sha256:ad3775ca0ade1b1d1fa4acdf7620040f00c5f2611c636a111545899b6a94038d

Observation aeef1b93-2ef2-4fd9-b0f7-decb0f5dd73a · outbound

This paper cites PwR: Exploring the Role of Representations in Conversational Programming.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data PwR: Exploring the Role of Representations in Conversational Programming

Reference 2023

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no resolver link, observed 2026-08-05T22:43:07.114049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.114049Z digest=sha256:dcf5f1a5a7b80171975d82c83ee3e9ce7d9fcc91e7cf7ba456e1b058403ca726

Observation f6938a02-887a-436d-b0ca-f0dc12b9116c · outbound

This paper cites Available: https://doi.org/10.1145/3663384.3663393.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data Available: https://doi.org/10.1145/3663384.3663393

Reference 2024

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no resolver link, observed 2026-08-05T22:43:07.035390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.035390Z digest=sha256:377123624dcefe06a30b60cac95391e743f91fd8c9854c3b121d7e7fac079e36

Pith citing papers

Observation a3db8901-fc00-4907-b427-6af52d9e9f68 · inbound

From Prompting to Verification: How Experience Shapes Vibe Coding Practices cites this paper.

From Prompting to Verification: How Experience Shapes Vibe Coding Practices Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data

Reference 72

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verified exact
arxiv_id, observed 2026-06-30T13:14:40.461432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T13:13:31.583222Z digest=sha256:34e8420edab4d5055a5af44de5be252762b91fbbe7d140e0156794bd3cf97e96