Paper Citation Record · LEDGER

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2507.10818.

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

pith.paper-citation-record.v1
2507.10818 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:29:42.878362Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T08:53:18.267764Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

52 of 52 outbound references displayed

verified exact2
verified fuzzy39
unresolved10
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 555962d4-bec5-407b-bea7-7a6578cec947 · outbound

This paper cites How reuse influences productivity in object-oriented systems,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow How reuse influences productivity in object-oriented systems,

Reference 1

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Observation 46dc02a4-9bde-4bfc-90d9-cb7b5fa7816d · outbound

This paper cites An empirical comparison of dependency network evolution in seven software packaging ecosystems,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow An empirical comparison of dependency network evolution in seven software packaging ecosystems,

Reference 2

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Observation 47b48df3-7c3b-4a01-ad72-36fc93c48fbd · outbound

This paper cites What predicts software developers’ productivity?.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow What predicts software developers’ productivity?

Reference 3

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This paper cites Not All Depen- dencies are Equal: An Empirical Study on Production Dependencies in NPM,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Not All Depen- dencies are Equal: An Empirical Study on Production Dependencies in NPM,

Reference 4

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Observation f9e8e4f5-21cf-401f-9d08-964e6d029fb5 · outbound

This paper cites Effective dependency management for the javascript soft- ware ecosystem,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Effective dependency management for the javascript soft- ware ecosystem,

Reference 5

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Observation 77ef331b-13f4-45e4-9121-86bd738a5921 · outbound

This paper cites An empirical study of usages, updates and risks of third-party libraries in java projects,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow An empirical study of usages, updates and risks of third-party libraries in java projects,

Reference 6

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This paper cites What are the characteris- tics of highly-selected packages? a case study on the npm ecosystem,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow What are the characteris- tics of highly-selected packages? a case study on the npm ecosystem,

Reference 7

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This paper cites An empirical study on selection of open source software-preliminary results,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow An empirical study on selection of open source software-preliminary results,

Reference 8

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Observation cf33ccae-3907-4813-8b58-3c39edb308de · outbound

This paper cites Categorizing developer information needs in software ecosystems,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Categorizing developer information needs in software ecosystems,

Reference 9

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Observation 7042fdeb-173a-4844-9480-664174be7ef1 · outbound

This paper cites An overview and catalogue of dependency challenges in open source software package registries,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow An overview and catalogue of dependency challenges in open source software package registries,

Reference 10

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Observation 87b9068f-9306-43ef-88cf-95a2d1e2e440 · outbound

This paper cites Selecting third-party libraries: the practitioners’ perspective,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Selecting third-party libraries: the practitioners’ perspective,

Reference 11

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This paper cites When and how to make breaking changes: Policies and practices in 18 open source software ecosystems,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow When and how to make breaking changes: Policies and practices in 18 open source software ecosystems,

Reference 12

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This paper cites Type regression testing to detect breaking changes in node. js libraries,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Type regression testing to detect breaking changes in node. js libraries,

Reference 13

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This paper cites Model-based testing of breaking changes in node. js libraries,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Model-based testing of breaking changes in node. js libraries,

Reference 14

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This paper cites A com- prehensive study of bloated dependencies in the maven ecosystem,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow A com- prehensive study of bloated dependencies in the maven ecosystem,

Reference 15

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Observation 532da9c1-d5a5-443d-8e47-b0c1577ad6ab · outbound

This paper cites Towards better dependency management: A first look at dependency smells in python projects,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Towards better dependency management: A first look at dependency smells in python projects,

Reference 16

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This paper cites Dependency smells in javascript projects,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Dependency smells in javascript projects,

Reference 17

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This paper cites Coverage- based debloating for java bytecode,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Coverage- based debloating for java bytecode,

Reference 18

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This paper cites Investigating the resolution of vulnerable dependencies with dependabot security updates,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Investigating the resolution of vulnerable dependencies with dependabot security updates,

Reference 19

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This paper cites On the use of dependabot security pull requests,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow On the use of dependabot security pull requests,

Reference 20

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This paper cites Automating dependency updates in practice: An exploratory study on github dependabot,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Automating dependency updates in practice: An exploratory study on github dependabot,

Reference 21

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This paper cites Vuln4real: A methodology for counting actually vulnerable dependen- cies,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Vuln4real: A methodology for counting actually vulnerable dependen- cies,

Reference 22

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This paper cites Depowl: detecting dependency bugs to prevent compatibility failures,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Depowl: detecting dependency bugs to prevent compatibility failures,

Reference 23

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This paper cites A large-scale survey on the usability of ai programming assistants: Successes and challenges,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow A large-scale survey on the usability of ai programming assistants: Successes and challenges,

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This paper cites The programmer’s assistant: Conversational interaction with a large language model for software development,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow The programmer’s assistant: Conversational interaction with a large language model for software development,

Reference 25

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This paper cites Evaluation of the Programming Skills of Large Language Models.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Evaluation of the Programming Skills of Large Language Models

Reference 26

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This paper cites Stack Overflow - where developers learn, share, & build careers.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Stack Overflow - where developers learn, share, & build careers

Reference 27

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This paper cites Stackeval: Benchmarking llms in coding assistance,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Stackeval: Benchmarking llms in coding assistance,

Reference 28

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This paper cites Popular python libraries and their application domains,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Popular python libraries and their application domains,

Reference 29

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How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Python–the fastest growing programming language,

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This paper cites Assessing the effectiveness of chatgpt in generating python code,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Assessing the effectiveness of chatgpt in generating python code,

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How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Chatgpt and python programming homework,

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This paper cites Evaluation of openai o1: Opportunities and challenges of agi,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Evaluation of openai o1: Opportunities and challenges of agi,

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How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow GPT-4 Technical Report

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How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow DeepSeek-V3 Technical Report

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This paper cites The Llama 3 Herd of Models.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow The Llama 3 Herd of Models

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This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow WizardLM: Empowering large pre-trained language models to follow complex instructions

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This paper cites Qwen2.5-Coder Technical Report.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Qwen2.5-Coder Technical Report

Reference 38

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This paper cites How do software developers use chatgpt? an ex- ploratory study on github pull requests,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow How do software developers use chatgpt? an ex- ploratory study on github pull requests,

Reference 39

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This paper cites Dependency update strategies and package characteristics,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Dependency update strategies and package characteristics,

Reference 40

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This paper cites Surviving software dependencies,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Surviving software dependencies,

Reference 41

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This paper cites A qualitative study of dependency management and its security implications,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow A qualitative study of dependency management and its security implications,

Reference 42

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This paper cites Open source license inconsistencies on github,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Open source license inconsistencies on github,

Reference 43

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This paper cites Exploring risks in the usage of third-party libraries,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Exploring risks in the usage of third-party libraries,

Reference 44

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This paper cites Can you trust ChatGPT’s package recom- mendations?.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Can you trust ChatGPT’s package recom- mendations?

Reference 45

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Observation 60c60882-d285-4d56-b330-281e686a090e · outbound

This paper cites Escaping dependency hell: finding build dependency errors with the unified depen- dency graph,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Escaping dependency hell: finding build dependency errors with the unified depen- dency graph,

Reference 46

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This paper cites A context-oriented program- ming approach to dependency hell,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow A context-oriented program- ming approach to dependency hell,

Reference 47

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This paper cites On the impact of using trivial packages: An empirical case study on npm and pypi,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow On the impact of using trivial packages: An empirical case study on npm and pypi,

Reference 48

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Observation e36e7963-2815-424b-abda-972a7db8b1f2 · outbound

This paper cites Helping or not helping? why and how trivial packages impact the npm ecosys- tem,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Helping or not helping? why and how trivial packages impact the npm ecosys- tem,

Reference 49

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfc94277-c36e-42c2-8ce0-8f07fa27a7dd · outbound

This paper cites Welcome to the era of chatgpt et al. the prospects of large language models,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Welcome to the era of chatgpt et al. the prospects of large language models,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:29:43.990062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07fbaf15-882e-40e7-a74d-3133a342e79e · outbound

This paper cites Can chatgpt replace stackoverflow? a study on robustness and reliability of large language model code generation,.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Can chatgpt replace stackoverflow? a study on robustness and reliability of large language model code generation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:29:43.818362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28e4dfdf-2414-4b5d-b084-4fa64468dd09 · outbound

This paper cites Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation

Reference 52

Resolution: malformed identifier; local_arxiv, observed 2026-08-06T17:29:43.374189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation dd4fd970-9312-4522-abda-184aa76074e9 · inbound

Correct Code, Vulnerable Dependencies: A Large Scale Measurement Study of LLM-Specified Library Versions cites this paper.

Correct Code, Vulnerable Dependencies: A Large Scale Measurement Study of LLM-Specified Library Versions How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-08T22:29:18.536938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3bb4da71-605b-49e9-8f51-b28ad6850c27 · inbound

Mitigating Package Hallucinations in Large Language Models via Model Editing cites this paper.

Mitigating Package Hallucinations in Large Language Models via Model Editing How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.309090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.