Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations | Paper Citation Record

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This paper cites On the rise and fall of CI services in GitHub,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations On the rise and fall of CI services in GitHub,

Reference 1

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This paper cites Developers’ perception of github actions: A survey analysis,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Developers’ perception of github actions: A survey analysis,

Reference 2

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This paper cites How do developers talk about GitHub actions? evidence from online software development community,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations How do developers talk about GitHub actions? evidence from online software development community,

Reference 3

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Observation 6fb47009-a26f-407a-9c8e-112a5c57c4bd · outbound

This paper cites Actionsremaker: Reproducing github actions,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Actionsremaker: Reproducing github actions,

Reference 4

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This paper cites A tale of ci build failures: An open source and a financial organization perspective,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations A tale of ci build failures: An open source and a financial organization perspective,

Reference 5

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This paper cites A hundred days of continuous integration,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations A hundred days of continuous integration,

Reference 6

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This paper cites A framework for automating the measurement of devops research and assess- ment (dora) metrics,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations A framework for automating the measurement of devops research and assess- ment (dora) metrics,

Reference 7

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Observation c931b605-36c9-47f0-8cdf-8b256b6ba676 · outbound

This paper cites How trustworthy is your ci accelerator? a comparison of the trustwor- thiness of ci acceleration products,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations How trustworthy is your ci accelerator? a comparison of the trustwor- thiness of ci acceleration products,

Reference 8

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This paper cites Tools and benchmarks for automated log parsing,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Tools and benchmarks for automated log parsing,

Reference 9

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Observation dbd9ca2a-81e1-4524-b010-facc3c930a38 · outbound

This paper cites Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 10

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This paper cites Detecting ci/cd workflow errors through visual inspection of logs,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Detecting ci/cd workflow errors through visual inspection of logs,

Reference 11

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Observation 01cf8b8b-b566-430f-8ed8-4a72e710d814 · outbound

This paper cites mu printgen: Supporting workflow logs analysis through visual microprint,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations mu printgen: Supporting workflow logs analysis through visual microprint,

Reference 12

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Observation 481dd72a-2720-4003-8848-6ac41dcea051 · outbound

This paper cites Evaluating code summarization techniques: A new metric and an empirical characterization,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Evaluating code summarization techniques: A new metric and an empirical characterization,

Reference 13

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Observation 6ecda002-a241-401b-af32-80744b48dee3 · outbound

This paper cites Toward automatically completing GitHub workflows,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Toward automatically completing GitHub workflows,

Reference 14

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Code review automation: strengths and weaknesses of the state of the art,

Reference 15

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Observation 9a0896cd-0b99-44a1-b4eb-74a0a95e423e · outbound

This paper cites Using an llm to help with code understanding,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Using an llm to help with code understanding,

Reference 16

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Observation 379ce217-0094-41af-99da-14b8b0d05848 · outbound

This paper cites The impact of test case summaries on bug fixing perfor- mance: An empirical investigation,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations The impact of test case summaries on bug fixing perfor- mance: An empirical investigation,

Reference 17

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Observation dad8937c-dfd3-45d0-b436-a2bde4be7cfa · outbound

This paper cites What would users change in my app? summarizing app reviews for recommending software changes,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations What would users change in my app? summarizing app reviews for recommending software changes,

Reference 18

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Observation 09b215ba-9440-41db-b74b-549dc8f90ec3 · outbound

This paper cites Explaining github actions failures with large language models: Challenges, insights, and limitations,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Explaining github actions failures with large language models: Challenges, insights, and limitations,

Reference 19

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Observation 7357210c-0d18-4776-8947-5eb3f4b39859 · outbound

This paper cites Grounded copilot: How programmers interact with code-generating models,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Grounded copilot: How programmers interact with code-generating models,

Reference 20

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Observation cf2aa6cd-bc7e-493b-bb66-0cf7ca397d96 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations “it would work for me too

Reference 21

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This paper cites Github copilot ai pair program- mer: Asset or liability?.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Github copilot ai pair program- mer: Asset or liability?

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.773555Z

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Observation dc8b9d9a-bb4c-4000-bdee-6c5ec3f66346 · outbound

This paper cites Conversing with copilot: Exploring prompt engineering for solving cs1 problems using natural language,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Conversing with copilot: Exploring prompt engineering for solving cs1 problems using natural language,

Reference 23

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This paper cites Is github copilot a substitute for human pair- programming? an empirical study,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Is github copilot a substitute for human pair- programming? an empirical study,

Reference 24

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Observation 86d5887f-c53d-4dea-a828-05b2b97ab632 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Exploring the learnability of program synthesizers by novice programmers,

Reference 25

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This paper cites Discovering the syntax and strategies of natural language programming with generative language models,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Discovering the syntax and strategies of natural language programming with generative language models,

Reference 26

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Top programming languages of 2022 - github octoverse,

Reference 27

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Observation 2dc4cb12-3cc2-44ba-a723-c702dab99fa9 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Sampling projects in github for msr studies,

Reference 28

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Observation cd1722bc-8430-4e33-8bda-cded0b8e908f · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Storing and sharing data from a workflow,

Reference 29

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Observation e75db6bd-0ed8-4ba4-8384-b0809d94eba3 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations An Empirical Comparison of Ethnic and Gender Diver- sity of DevOps and non-DevOps Contributions to Open-Source Projects,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.635141Z

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations LLaMA: Open and Efficient Foundation Language Models

Reference 31

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Language models are few-shot learners,

Reference 32

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Observation 0ea082fe-b80c-44fa-abd8-6d8bb9bb78b1 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Comparative analysis of pre- trained language models for natural language understanding,

Reference 33

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Observation d19a9d5a-fd77-48b8-8fda-e95cc607df71 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 34

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Observation 05fd1cdf-0ccf-46da-94cb-ad6a5297f6d8 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Language models are unsupervised multitask learn- ers,

Reference 35

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Diversity in software engineering research,

Reference 36

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Sampling in software engineering research: A critical review and guidelines,

Reference 37

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Source-reported events for the cited work

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Improving developer participation rates in surveys,

Reference 38

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Observation 9dfd2094-8a49-4fd8-8b5c-c64b89bfdf37 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Personal opinion surveys,

Reference 39

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Empirical standards for software engineering research,

Reference 40

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Observation 334b41c0-612b-449d-ae04-eeb40e35bcdb · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Card-sorting: From text to themes,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.490811Z

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Observation 2c7720e8-d2fc-4d2a-aa9b-f4fd3863dfca · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Breaking the silence: the threats of using llms in software engineering,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.473306Z

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Observation 9d665a4f-d4e7-48ca-a1ae-c45d423314a5 · outbound

This paper cites LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges

Reference 43

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Source-reported events for the cited work

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Observation 2aa6af7b-aa55-43ae-a26b-e120fb925dd6 · outbound

This paper cites Automated program repair in the era of large pre-trained language models,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Automated program repair in the era of large pre-trained language models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.458563Z

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Observation 7530bacc-5c3a-4d05-88f9-fc97e991189e · outbound

This paper cites How is ChatGPT's behavior changing over time?.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations How is ChatGPT's behavior changing over time?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T12:52:24.549364Z

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Observation e5a2bd5e-7594-45f6-8e14-b6d8470d181c · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T12:52:24.554649Z

Source-reported events for the cited work

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Observation 16e2bf65-525a-4f72-9951-fa3264adeac7 · outbound

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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Fine-tuning language models to find agreement among humans with diverse preferences,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.442104Z

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Observation ba04d720-192b-430b-ac8f-737b6cc16179 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Chain-of-thought prompting elicits reasoning in large language models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.425457Z

Source-reported events for the cited work

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Observation 2fd9f1c9-13b8-4dbf-9d24-95c065eb86bc · outbound

This paper cites ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 49

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Observation ef63b2b4-0a06-4e7c-b5c7-c6d033e8ed78 · outbound

This paper cites Responsible AI considerations in text summa- rization research: A review of current practices,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Responsible AI considerations in text summa- rization research: A review of current practices,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.409333Z

Source-reported events for the cited work

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Observation 6a6fff71-2517-43d8-adeb-f66e4e9a322c · outbound

This paper cites Every build you break: developer-oriented assistance for build failure resolution,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Every build you break: developer-oriented assistance for build failure resolution,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.393143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d28e293-68b0-4239-a164-78c2ada15729 · outbound

This paper cites An empirical analysis of build failures in the continuous integration workflows of java-based open-source software,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations An empirical analysis of build failures in the continuous integration workflows of java-based open-source software,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.377719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a6490df-c042-4c79-8dd7-a7c54465c5cd · outbound

This paper cites A dataset for studying the evolu- tion of source code summarization,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations A dataset for studying the evolu- tion of source code summarization,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.361395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06ea0678-b81b-4e30-af0e-8bbed0763c84 · outbound

This paper cites Automatic software summarization: A system- atic literature review,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Automatic software summarization: A system- atic literature review,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.344698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3280d40d-bdc1-49ff-9a29-86d3e5894769 · outbound

This paper cites An empirical study on bug report summa- rization,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations An empirical study on bug report summa- rization,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.329250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c7c303d-7632-49b3-ba8d-1b179cecce6b · outbound

This paper cites Rencos: Improving code summarization with retrieved similar codes,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Rencos: Improving code summarization with retrieved similar codes,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.313519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70db8d92-3087-42ae-b3fa-e31d4563eeb3 · outbound

This paper cites Human vs. machine-generated summaries: A comprehension study,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Human vs. machine-generated summaries: A comprehension study,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.296589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49a28a46-614e-4c5a-81d5-3d5f016f3150 · outbound

This paper cites Reassessing the use of bleu and meteor in source code summarization tasks,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Reassessing the use of bleu and meteor in source code summarization tasks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.282135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a23e2b0f-ce2f-4b50-b685-5525e961aec5 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Meteor: An automatic metric for mt evaluation with improved correlation with human judgments,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.266280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f7dd0b0-e470-4a9f-b013-9ce8ad8029ad · outbound

This paper cites Semantic similarity metrics for evaluating code summarization techniques,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Semantic similarity metrics for evaluating code summarization techniques,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.246982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5df5eb26-cd89-40a0-9231-73a449926273 · outbound

This paper cites Side: A contrastive learning metric for code summarization evaluation,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Side: A contrastive learning metric for code summarization evaluation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.231715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7873b85b-048f-4f76-a901-b329ae762371 · outbound

This paper cites Summarizing source code using neural attention models,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarizing source code using neural attention models,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.215202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c381d91b-3117-4a7f-922d-887983b81ea4 · outbound

This paper cites Fedllm: Federated learning-based large lan- guage models for code summarization,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Fedllm: Federated learning-based large lan- guage models for code summarization,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.198768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68c19f95-680e-4156-ad00-90e0a10d3314 · outbound

This paper cites Automatic generation of natural language sum- maries for java classes,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Automatic generation of natural language sum- maries for java classes,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.182134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd5c5e57-17f0-46ff-baa5-4e0efe365502 · outbound

This paper cites Automatically summarizing java methods: A context-based approach,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Automatically summarizing java methods: A context-based approach,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.164979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c596d669-1ea0-4ee6-8779-ff5daf444a4e · outbound

This paper cites Summarizing software artifacts: A bug report case study,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarizing software artifacts: A bug report case study,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.145651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5bc7d673-030b-4fc5-beaf-65afcac36a79 · outbound

This paper cites On the use of automated text summarization techniques for summarizing source code,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations On the use of automated text summarization techniques for summarizing source code,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.128756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ac7518d-d90d-43fd-9d55-18e8ef52ae2d · outbound

This paper cites A systematic review of app review analysis in software engineering,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations A systematic review of app review analysis in software engineering,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.111373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8b2a2cc-9fd2-433d-8881-45e789814067 · outbound

This paper cites Summarizing software artifacts using machine learning: a comprehensive review,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarizing software artifacts using machine learning: a comprehensive review,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.094441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c11269a-846c-4747-ab38-8b499ff6d998 · outbound

This paper cites Summarization techniques for software artifacts: a comprehensive review,.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarization techniques for software artifacts: a comprehensive review,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:52:25.077868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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