Pith. sign in

Paper Citation Record · LEDGER

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

As of 15 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 4 inbound Pith citation observations for arXiv:2509.10402.

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

pith.paper-citation-record.v1
2509.10402 v1

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:57:07.661469Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:02.423350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:20:06.998087Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved83
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b1c8119-79b2-4fb9-857f-41701b16460f · outbound

This paper cites Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:04.770188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:04.770188Z digest=sha256:337c818a4454e574410bc2d35b8cc08460fab3ce2e74a5585285544a8d3c6844

Observation 489381b5-1785-4e2a-964a-994410ffd9bd · outbound

This paper cites Anthropic economic index: Ai’s impact on software development,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Anthropic economic index: Ai’s impact on software development,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:04.807594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:04.807594Z digest=sha256:0f03225bf1fcada9668bb7d1501aac733220a58d4f8228c236f349b06406cb04

Observation 9accfd1d-92a6-48db-b489-7e5fce2679c6 · outbound

This paper cites Artifacts are now generally available,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Artifacts are now generally available,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:04.842492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:04.842492Z digest=sha256:e433ff2638c91830942bb76b40315db7405f7966918cb38ceb0f101399a57304

Observation 44ea2a3d-9f87-4741-b74d-b368773302c9 · outbound

This paper cites Claude ai: Next-generation ai assistant,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Claude ai: Next-generation ai assistant,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:04.872797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:04.872797Z digest=sha256:b2fb206ad839936fd3b170f6e49031b7b747f86a8352384e6f80d3e913bd4db6

Observation faf5a67c-3ffb-49f2-8a7c-9d1a73b6f05c · outbound

This paper cites Privacy policy,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Privacy policy,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:04.928462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:04.928462Z digest=sha256:66afc956b6969af79c1bafddc2f0a50b1b10d11d1c652566306afb8449e000f2

Observation 3d3bd517-9fc4-4b4b-95a8-158085ed9b33 · outbound

This paper cites Cursor: The ai code editor,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Cursor: The ai code editor,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:04.965924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:04.965924Z digest=sha256:535b653492b3ebaaf29e5f067944d634e30f8ce29bc2ce23b5b0778d19532fec

Observation 6660be13-29d8-4862-9464-a19e9857c8f4 · outbound

This paper cites Evaluation of rust code verbosity, understandability and complexity,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Evaluation of rust code verbosity, understandability and complexity,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.031795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.031795Z digest=sha256:3b377aac3055fb8ed57f8be0991575592d3c77a25698d27175f22920739fde41

Observation 063e1ce5-52cb-4fdd-ab4d-8e4e26a309a8 · outbound

This paper cites Title or description of the website,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Title or description of the website,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.081412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.081412Z digest=sha256:5e8e23fda133eb7b78018907a8de8f9888e9cb2937d2475861179c41e6abc954

Observation 6305e748-b880-4d77-b526-41eeaab19b01 · outbound

This paper cites Density-Based Clustering Based on Hierarchical Density Estimates,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Density-Based Clustering Based on Hierarchical Density Estimates,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.127182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.127182Z digest=sha256:2ac307cca5e4c7501194b732bcdd73df60f6d8740aa6935c94c195fa05b19023

Observation 75ec201c-6353-47bb-b6f8-e65a59f98d82 · outbound

This paper cites Vi- cuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Vi- cuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.179926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.179926Z digest=sha256:5e7408645a9ea18319bca3d04c4bca398dd125c06b8e2baf5e2996dc4ce7d5c8

Observation ae5d26c3-1fcd-4c9b-aa1c-1379f1a721fd · outbound

This paper cites CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.270073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.270073Z digest=sha256:6b4788a8b1f1423eba8e53c4cac42391b79975d831b70ba6a081d1c75a878604

Observation a44d9a3a-dfba-4335-a276-87e1111a9a9b · outbound

This paper cites Chollet, “Keras,” https://github.com/keras-team/keras, 2015, accessed: 2025-09-01.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Chollet, “Keras,” https://github.com/keras-team/keras, 2015, accessed: 2025-09-01

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.326673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.326673Z digest=sha256:e0e1ec17572f94ef7b0f93a246f523583151eecd1e2c30bca156a7d6175705da

Observation 6579732a-a35e-4a15-8c69-bf925971ff12 · outbound

This paper cites Cline: Ai coding, open source and uncompromised,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Cline: Ai coding, open source and uncompromised,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.400329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.400329Z digest=sha256:237f82a05b4b93fc2aba843abec47fc65cb493c2c5007d4ffd8738ad109fa2b1

Observation 12cf916f-7510-4b81-820c-dd566fac787c · outbound

This paper cites A Performance Study of LLM-Generated Code on Leetcode,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A Performance Study of LLM-Generated Code on Leetcode,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.478491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.478491Z digest=sha256:806e5ed6fa3ae82408d447c8321b2a02c77ba89e51d4401203c1095b3c6af1e5

Observation 10707464-6e26-46a7-8a5e-44e49edfff14 · outbound

This paper cites Cppcheck: A static analyzer for c/c++ code,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Cppcheck: A static analyzer for c/c++ code,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.515424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.515424Z digest=sha256:6718e3b575047107c1f59b9bb512b6f6a21e691ef35f2a40fbc3e0385adff485

Observation 67aa653d-7c9b-4196-a02f-731d15f9b442 · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Multi-Task Learning with Deep Neural Networks: A Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.548979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.548979Z digest=sha256:a533fa3a90b520cee446826bf8c04363ab4843df520c786412ffb93ff6fbf823

Observation 3d6d2415-537c-4dfb-91a3-df440aaf1c4b · outbound

This paper cites Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.579860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.579860Z digest=sha256:e32edd73f2666bc6b1a332f22abbe86ca1e277b07f88e792b5998d18fa9f4585

Observation 960bada6-909e-48ac-acf4-bdd07168dbc1 · outbound

This paper cites Evaluating Privacy Questions from Stack Overflow: Can ChatGPT Compete?.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Evaluating Privacy Questions from Stack Overflow: Can ChatGPT Compete?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.610417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.610417Z digest=sha256:afff02338144105a916dddcb9b64fde48edeb0ddb1a18484a2b34cc1f4730965

Observation 5da3e3f4-5008-4b10-ada1-aed96eb84286 · outbound

This paper cites Nonparametric pairwise multiple comparisons in indepen- dent groups using dunn’s test,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Nonparametric pairwise multiple comparisons in indepen- dent groups using dunn’s test,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.722612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.722612Z digest=sha256:338e575c1909e55ad819144f5df81f2a6bb4687983d7b539412e34e17b6fda5b

Observation 81e115a8-44ea-423e-9eff-e5a38b40c371 · outbound

This paper cites Getting started with eslint - pluggable javascript linter,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Getting started with eslint - pluggable javascript linter,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.747252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.747252Z digest=sha256:430814b303466643fb59b2f466ac7df57de127ea7901fae6170b950fa3654d8a

Observation 81296a16-7e91-41a1-9d99-2ff7798ebb3a · outbound

This paper cites Investigating Code Generation Performance of ChatGPT with Crowd- sourcing Social Data,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Investigating Code Generation Performance of ChatGPT with Crowd- sourcing Social Data,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.758585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.758585Z digest=sha256:ec9ebe5ad2dafd51d6801dacdfd04b16d4563db387de6481cec18de2637e4156

Observation af6a11fc-fcc3-4707-a38f-a44c8ff07420 · outbound

This paper cites Mining rule violations in javascript code snippets,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Mining rule violations in javascript code snippets,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.795437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.795437Z digest=sha256:25ce1a86fdc9b9532cb94d3eee54f2f6b263d24230171d7464e0950c2d3697ce

Observation ef104fea-074d-4192-8798-b98a581cdcec · outbound

This paper cites Github: Build and ship software on a single, collaborative platform,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Github: Build and ship software on a single, collaborative platform,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.845024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.845024Z digest=sha256:06e8c408a850a6562b27436347e1a8389d33c86204f7f8c8611bafbd42ebef54

Observation 0f10e34d-8742-441a-a8a9-017cb0595dd2 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.877751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.877751Z digest=sha256:ff53891cd46aa591d84a9b3bcea4371aa7d408b79065546321584537225f1e72

Observation af23b3f2-1674-4713-a3b9-9ca00dfc1c4c · outbound

This paper cites Bertopic frequently asked questions,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Bertopic frequently asked questions,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.922731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.922731Z digest=sha256:186daba069da3e1f7123817ea226196d5f72c343b99a0641481131db8c055b11

Observation a3be5d6d-d60e-49b9-a481-86a031878f0e · outbound

This paper cites Bertopic parameter tuning guide,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Bertopic parameter tuning guide,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:05.981510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:05.981510Z digest=sha256:d7096622cc761d664bd913cfd320daac9998dc8042bc2be837c186f7561f6986

Observation 53f0fd1b-146f-403a-8b71-5afa9c5592f1 · outbound

This paper cites On the Effectiveness of Large Language Models in Domain- Specific Code Generation,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality On the Effectiveness of Large Language Models in Domain- Specific Code Generation,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.019342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.019342Z digest=sha256:033f8941fd0cf9f5ecf4fde8e2c66afec6cfa9f88bd7ac51341b4ab51eabbecc

Observation f223ac49-eb59-483f-a659-a48866d021e4 · outbound

This paper cites Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.023310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.023310Z digest=sha256:f659270192432fbc81a0a19fc9834656939c4f1aa9fcabb51f89cc139305109d

Observation 5fb9d009-3fa5-4db9-8ed0-6b3f33dad4ec · outbound

This paper cites A modified mann-kendall trend test for autocorrelated data,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A modified mann-kendall trend test for autocorrelated data,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.041557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.041557Z digest=sha256:a280a45388758e8e9a04df17d23d529b7ddaec6517df2bf93e96a4ac2e29132c

Observation 38fbd3d7-f07e-476e-9c29-685971d2c45c · outbound

This paper cites An empirical study on developers’ shared conversations with ChatGPT in GitHub pull requests and issues,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality An empirical study on developers’ shared conversations with ChatGPT in GitHub pull requests and issues,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.060022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.060022Z digest=sha256:76c9dde93cf1e407a264d4c371fff56195479a5ccc8dc99911cb0fb3bbf5b4d6

Observation 3b1719e7-021d-44fa-b091-16827bdf0f15 · outbound

This paper cites Model context protocol (mcp) at first glance: Studying the security and maintainability of mcp servers,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Model context protocol (mcp) at first glance: Studying the security and maintainability of mcp servers,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.109108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.109108Z digest=sha256:873592b5856c09a0d1c1e41459fc12252e5c65fe7967d0d57da627e666832b5b

Observation 95e3feee-b1a6-441d-9104-29e7eb723e0c · outbound

This paper cites CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.162203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.162203Z digest=sha256:e2f2cb5ddb4c99bbc6580ac9cdaa187fdda08515581d7b99191a05ebc33603e8

Observation 4e3c78d3-609c-42e6-ad59-d2d0f1361bd8 · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A Survey on Large Language Models for Code Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.274165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.274165Z digest=sha256:5a8700066d0e35a3d50151a5361edfa56b35dababa127df387589fb388023e42

Observation 79c1c88f-0458-4f64-a0c2-0e03a92cbe85 · outbound

This paper cites Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.336023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.336023Z digest=sha256:cd5cdf9c862dc98885445f7d6f2931af04f211fcaeeee177756c7857b055dd9d

Observation 14af4d1d-8376-47a2-8039-2b474f2913d4 · outbound

This paper cites Openassistant conversations-democratizing large language model align- ment,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Openassistant conversations-democratizing large language model align- ment,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.398263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.398263Z digest=sha256:409578f769cca963059997b57f3dca37e95fcd44277365c31bea2947bea9a787

Observation 6c8588d2-3e21-4fb9-8dd8-79694edcb8c4 · outbound

This paper cites Does code quality affect pull request acceptance? an empirical study,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Does code quality affect pull request acceptance? an empirical study,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.438128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.438128Z digest=sha256:2ca33f9c032bec4aaf81df1e1bf98f2b9c391ec73acaab147710719a4e458368

Observation 99accdda-d1a9-4112-916a-ec03259ac75e · outbound

This paper cites Refining chatgpt-generated code: Characterizing and mitigating code quality issues,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Refining chatgpt-generated code: Characterizing and mitigating code quality issues,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.496275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.496275Z digest=sha256:c48493e1ffecc56bc3918794de656e40c3029cffb00a5fe67c5eb4b9b94ee900

Observation 8b95c512-ead7-4356-9bf0-ccffea23e923 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.541066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.541066Z digest=sha256:0c3e8474859d5690bb50ff058b939462a7a4148e2fea54fb7374bc42213f9f0f

Observation 032e78cb-b712-4927-b2ca-2ea632bec6b5 · outbound

This paper cites Roslyn analyzers github repository,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Roslyn analyzers github repository,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.587431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.587431Z digest=sha256:31814eb7862265a7e34b15fc537060b33fe863d5bab970008173ea47c77976c9

Observation fa85011d-1ff8-454f-ab5c-1ce58f638ed0 · outbound

This paper cites Enhancing user interaction in chatgpt: Characterizing and consolidating multiple prompts for issue resolution,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Enhancing user interaction in chatgpt: Characterizing and consolidating multiple prompts for issue resolution,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.633767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.633767Z digest=sha256:a88d7efc35c2a8cff5e84a7d8ee31f26d36d8d0ccfea7e0e8463d9e372c74b26

Observation 5ef97257-2cc8-46e6-a661-2aac772e242a · outbound

This paper cites an unresolved cited work.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.732769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.732769Z digest=sha256:4363cea47a8d8566bd45d0424266bc60d0f89c9a77a793efbe3f792b640b8769

Observation b54ae69b-cfb4-4ace-b6dd-bdb8a0480101 · outbound

This paper cites The content division element,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality The content division element,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.880993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.880993Z digest=sha256:efcdc06a8b8687b666d17c5c1b61fe95c310b1d82e3e597a2ba4a1111d3c761b

Observation 89bd8bfd-d8bd-4d82-8a32-92d18670340e · outbound

This paper cites Image-based communication on social coding platforms,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Image-based communication on social coding platforms,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:06.915483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:06.915483Z digest=sha256:8453e1ca92e7ffd5c2e46e0ede57705448f2512b1e4cd5aaef7c73b779d395be

Observation be51a313-4661-4acd-ad12-19295af0b68b · outbound

This paper cites A Comparison of the Effectiveness of ChatGPT and Co-Pilot for Generating Quality Python Code Solutions,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A Comparison of the Effectiveness of ChatGPT and Co-Pilot for Generating Quality Python Code Solutions,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.007419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.007419Z digest=sha256:7d1be5edba16c982e9a3c1d5af5dc5c4ff84db96b1f7e875b9cec40ec52a14dc

Observation d5750281-a157-4511-9133-5f45c90044e5 · outbound

This paper cites Static analysis warnings and automatic fixing: A replication for C# projects,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Static analysis warnings and automatic fixing: A replication for C# projects,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.101742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.101742Z digest=sha256:7f232e395904839f14bbebed5bc89c64478d53848a23fe1e191217c6be43aaa5

Observation 9eb18a7c-7e9b-4d3c-ada5-b6a0ae72572e · outbound

This paper cites Chatgpt,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Chatgpt,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.156579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.156579Z digest=sha256:60769ebd9a502ba0bbdf97c963897a4f887073747890c7833c29d7bd70594142

Observation 6a47d34e-9921-48c6-85b7-caa6634e3289 · outbound

This paper cites Hello gpt-4o,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Hello gpt-4o,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.266269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.266269Z digest=sha256:e3c5d3f4b574144955c1a36249873d8f8590bf827f643df554e987cd92031bde

Observation 828d99cf-9946-48b1-af6a-596253dcc4e7 · outbound

This paper cites Privacy policy,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Privacy policy,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.324503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.324503Z digest=sha256:64278deebc2a6cbe3aa46a911a80f0ab89b37c62bc313fa07bb23b9d0872bea9

Observation 6791e562-f968-41df-886b-2395597f1e41 · outbound

This paper cites tiktoken: A fast bpe tokeniser for use with openai’s models,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality tiktoken: A fast bpe tokeniser for use with openai’s models,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.488606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.488606Z digest=sha256:1cad96b970fc66d8986d3b45c24e36ffe5e03546a3c320a20845529310be4230

Observation 22aa5568-bda8-4e52-a052-56927515cacb · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Pytorch: An imperative style, high- performance deep learning library,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.572722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.572722Z digest=sha256:5c7c08861a09e4443b9141e79237be96937af6e313e7c5abc15df1ba02763f18

Observation 15314f4b-18b3-4db7-bf0f-bc5ef8200f43 · outbound

This paper cites Pmd - source code analyzer documentation,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Pmd - source code analyzer documentation,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.575720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.575720Z digest=sha256:8e0084e31d5328484e89b3fbcb10c52265607accd83598fccfe2dde073b50a93

Observation 2f4e8a0d-c45f-4830-a3ae-b7e4b60e56b3 · outbound

This paper cites Pylint tutorial and documentation,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Pylint tutorial and documentation,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.578604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.578604Z digest=sha256:1781d1bc4ffe97a6afaaa8c2a7fc0c3b0b315d0b1aab037dc25242279716a09a

Observation 33e30072-584d-475b-9c11-efbae158a83c · outbound

This paper cites Black: The uncompromising python code formatter,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Black: The uncompromising python code formatter,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.581420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.581420Z digest=sha256:b20cfb7f5fe15244ca90adeefa87bae1e7e93b994443479f46626c311ea32dac

Observation 8ebce97f-5b8a-48fd-a46f-e6d275cabb57 · outbound

This paper cites Dynamic Scoring Code Token Tree: A Novel Decoding Strategy for Generating High-Performance Code,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Dynamic Scoring Code Token Tree: A Novel Decoding Strategy for Generating High-Performance Code,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.584161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.584161Z digest=sha256:768961f966b35d5e112476e59549ad43ba09aae053f110dd5ae641ef48b90b40

Observation 0800e92a-350a-4297-9d75-6ec8f399b347 · outbound

This paper cites React - the library for web and native user interfaces,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality React - the library for web and native user interfaces,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.586839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.586839Z digest=sha256:5e5a599bcf8ca9acf10245dcdb1be7050cfb4a498e78276e7c27e76e7e2822ff

Observation b6530847-ec6f-4f62-9395-9352666dc383 · outbound

This paper cites an unresolved cited work.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.589430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.589430Z digest=sha256:dfbe7f8ff87ac1d9227d72d273a666a6571c074ca8dbdeca8bfccd357d446422

Observation 66d71783-f9e2-4eb2-932c-a63a36b3d407 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.592087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.592087Z digest=sha256:1035fb572a19e0a7cdf9c761d343aa6317cb2a65a72e4e77282b38f65c75366a

Observation d7c30d1f-cdd6-4872-b324-9d314606a84e · outbound

This paper cites Exploring the Space of Topic Coherence Measures,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Exploring the Space of Topic Coherence Measures,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.594863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.594863Z digest=sha256:bfaf851f66c578d7336617602f899cdda36679ca35091d6f2e41e75a8b4879fe

Observation 26838de5-ecba-4d19-a979-f6870be7b0ee · outbound

This paper cites The wilcoxon signed rank test for paired comparisons of clustered data,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality The wilcoxon signed rank test for paired comparisons of clustered data,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.597560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.597560Z digest=sha256:d575f7b46592c09e0a852a64c4f28672a77e7c9344a2df131ea11b8be08572af

Observation 4ac6f411-6e0a-4277-8ee9-268c843c749f · outbound

This paper cites On the Taxonomy of De- velopers’ Discussion Topics with ChatGPT,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality On the Taxonomy of De- velopers’ Discussion Topics with ChatGPT,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.600501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.600501Z digest=sha256:ebc6796453c5be6e8469628d6715c6054d72fd452907691ac61221acb64ff1f7

Observation facd4858-eba2-41c6-be2b-580971a34cd1 · outbound

This paper cites A cluster analysis method for grouping means in the analysis of variance,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A cluster analysis method for grouping means in the analysis of variance,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.603045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.603045Z digest=sha256:fb31b8903a81272ad9e12631e1ae0f22baf09e48fca869fb2261b5922d3dd499

Observation 5a879790-afaa-4a62-9b1a-ba5fa257aad2 · outbound

This paper cites Prompt engineering or fine-tuning: An empirical assessment of llms for code,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Prompt engineering or fine-tuning: An empirical assessment of llms for code,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.605722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.605722Z digest=sha256:284b4f5fb5f63d4232766c4434398edc2a1fb7e42cacfbcb6e10ca9756554b79

Observation dda21703-6b8a-4bd1-918c-bfd4527951bd · outbound

This paper cites Do code quality and style issues differ across (non-)machine learning notebooks? yes!.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Do code quality and style issues differ across (non-)machine learning notebooks? yes!

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.608605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.608605Z digest=sha256:eecafbd72728c1598cc0fa3aeeea00cc66beaa31ec282d41cd1c8b240f2f1e25

Observation 0142b60e-ecf6-4bad-b801-478eb226abc0 · outbound

This paper cites Quality assessment of chatgpt generated code and their use by developers,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Quality assessment of chatgpt generated code and their use by developers,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.611406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.611406Z digest=sha256:0c523f7738c56469ed955d75478138b4e42577febe5657709f593db06d8ad399

Observation 9d5a6086-0f39-4760-9242-6bb7cf15900f · outbound

This paper cites ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.613952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.613952Z digest=sha256:b380305cd882d9db9016d91f4684ed7b6fda6d0f54bfbca2ff5f3d405e6f4182

Observation 5dd7292c-b6ce-49cd-8c8c-d4d7ca583b1b · outbound

This paper cites Evaluating Source Code Quality with Large Language Models: a comparative study,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Evaluating Source Code Quality with Large Language Models: a comparative study,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.616544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.616544Z digest=sha256:45f8ecb8e57d691cea928292770e2fcd0256bd13dbfe9d97d74b81e8de24c5c2

Observation 42d636d4-c141-4e82-96d6-3e1eaa242e62 · outbound

This paper cites Codechat repository,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Codechat repository,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.619072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.619072Z digest=sha256:1c501631cfc1d865043f7b3dbac82fe3fcb0b34d98ab01fdc06bbbe6d1328361

Observation f43cfdba-45d1-4bd4-b1e7-72220ef7762d · outbound

This paper cites C4: contrastive cross-language code clone detection,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality C4: contrastive cross-language code clone detection,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.622009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.622009Z digest=sha256:caf05f7208015943fa88205632f2d3d7acb77c987d6c076f43b88720898a9162

Observation a40cca9b-9503-4365-beac-263be603abab · outbound

This paper cites Unveiling ChatGPT’s Usage in Open Source Projects: A Mining-based Study,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Unveiling ChatGPT’s Usage in Open Source Projects: A Mining-based Study,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.624659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.624659Z digest=sha256:c331c5da679d5bf7394cb0f7cfd56f0d2bd38cbaf91164324377ff97cf777df7

Observation 000b7457-c5dd-4bb2-893f-c1e898ec8f31 · outbound

This paper cites A Study of LLMs' Preferences for Libraries and Programming Languages.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A Study of LLMs' Preferences for Libraries and Programming Languages

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.627373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.627373Z digest=sha256:a524c710054efb57e275328afd55f66317fe01fced99573af9ce2d0a0d42d791

Observation 5d781921-d737-4485-9b83-77fab8d0bbb3 · outbound

This paper cites Pep 8 – style guide for python code,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Pep 8 – style guide for python code,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.630116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.630116Z digest=sha256:b62826e52061110a7da319ccc9accf41b8c8902070feb8c6127a58fa9f6583c4

Observation 3203096f-9bd7-49a5-951a-30c014fb8915 · outbound

This paper cites The kruskal-wallis test and stochastic homogeneity,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality The kruskal-wallis test and stochastic homogeneity,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.632584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.632584Z digest=sha256:6775275b7afe5d8c7322e7a70ae9f3f093e22a0f54ea075fa7702d9d9d87273c

Observation 3962afb9-a320-4f6e-b2bf-c8d8e82c51d0 · outbound

This paper cites Attention is All you Need,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Attention is All you Need,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.635300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.635300Z digest=sha256:3fdd4a2d436c1bdfd3d6d30b136645c90f64492a3b16a0246d388d410f69035e

Observation 6083d398-d711-46fc-acfc-a505a5b4ddb3 · outbound

This paper cites Cohen’s kappa coeffi- cient as a performance measure for feature selection,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Cohen’s kappa coeffi- cient as a performance measure for feature selection,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.637936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.637936Z digest=sha256:48bdaf976803381aa9f371c04c7184c0c21c51012ff0e458a9e00f49d6752bca

Observation 51484694-372e-4027-8986-f2c4663d4793 · outbound

This paper cites Wildchat: 1 million chatgpt interaction logs in the wild,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Wildchat: 1 million chatgpt interaction logs in the wild,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.640325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.640325Z digest=sha256:01b9fb35ec704b4b4ead6f1dfca75926dbbe2e5ef0b58abb3b553913b1a8ea70

Observation c88bda47-430b-4c48-b19b-a16473338966 · outbound

This paper cites Devgpt: Studying developer-chatgpt conversations,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Devgpt: Studying developer-chatgpt conversations,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.642975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.642975Z digest=sha256:0b5bb8044edacc13909505ab3bca23a2a4d02b5716fe83bacf84afa1d2a604db

Observation 3f90c278-d590-47a4-82ef-834d00f8bbc4 · outbound

This paper cites Hacker news,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Hacker news,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.645484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.645484Z digest=sha256:26b7a7a339a38f2b701f1a5e0fe638f1d07f942b6b3b295b10cf915f2e234ee5

Observation 7fc1cd91-f009-4f32-8727-4f6b74705df0 · outbound

This paper cites On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.648260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.648260Z digest=sha256:f10ad9075c51ec51d4522b0cbdc5570a6b3f3fd503c2bd77a5e8d53baef6bdf8

Observation 4cea8482-46d9-4710-9b15-17d65afbb11d · outbound

This paper cites A study of c/c++ code weaknesses on stack overflow,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality A study of c/c++ code weaknesses on stack overflow,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.650964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.650964Z digest=sha256:f216e84d3480d56a832f698cb70f9c428ffd71c11c9801fc75c7686d4be284e8

Observation 5f8834be-371b-49f6-8e43-f921765fbb87 · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.653575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.653575Z digest=sha256:5b24ad826912a049db4287924e31234b363ceef98668d7d818b02f84741a869b

Observation 54c6e2d0-3ba0-4a08-991e-f9b5024ae867 · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.656222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.656222Z digest=sha256:dd390e2b0e8354c25b72f211b7048e58449bff6755879c5d076c8ed0455c04bc

Observation 56830864-8631-4c1d-aa0f-f4b23bf72361 · outbound

This paper cites CodeGeeX: A Pre- Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality CodeGeeX: A Pre- Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.658902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.658902Z digest=sha256:d14f269d95f68d8badc05bf846e3f4c40b9c028c9bf6360e5a1ca520fc6a7790

Observation df280d2e-1e2d-4f81-ab94-934c7e334bfb · outbound

This paper cites Codechat,.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Codechat,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.661469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.661469Z digest=sha256:f8283ecd12a74d3023ccd0fed13ffdf81905114f852107add98a1d5f7cc30b5d

Pith citing papers

Observation a12624ae-4fab-4e2c-a492-926043aec1ea · inbound

CodeChat-Eval: Evaluating Large Language Models in Multi-Turn Code Refinement Dialogues cites this paper.

CodeChat-Eval: Evaluating Large Language Models in Multi-Turn Code Refinement Dialogues Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:20:06.999588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T20:22:29.287534Z digest=sha256:f3eda1305fd0c794f93aa6b08d182612833c329063c26adf6bccd14c358801ed

Observation 5515df02-f1d1-445c-a293-1423a73087bd · inbound

CodeChat-Eval: Evaluating Large Language Models in Multi-Turn Code Refinement Dialogues cites this paper.

CodeChat-Eval: Evaluating Large Language Models in Multi-Turn Code Refinement Dialogues Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:35.342046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T07:05:50.811872Z digest=sha256:c1723696d99fa8f0c98573b3be962932b88bc354a38c9c01cda4c6447e5f3aa8

Observation c061f352-6b77-417b-96f6-b4d0814e8f9c · inbound

From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality cites this paper.

From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T05:59:02.657748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:59:02.657748Z digest=sha256:9fc88ce14936f2dc947594ae1b8a26d1987e65031dc0348f84e88bcda120aa0f

Observation 084d18ae-e128-4560-bcb7-354e8287a16f · inbound

AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code Adaptation cites this paper.

AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code Adaptation Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:02.423350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:02.423350Z digest=sha256:5d870921f082eb96ef4e89554f1ef301eb7fe66c46f7e591125d87f032bc2c77