Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T12:52:24.674577Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2501.16495.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T12:52:24.674577Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
70 of 70 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 57812bc4-f1b0-4209-bed5-d36aed646af9 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations On the rise and fall of CI services in GitHub,
Reference 1
Source-reported events for the cited work
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Reference 2
Source-reported events for the cited work
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Reference 3
Source-reported events for the cited work
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Reference 4
Source-reported events for the cited work
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Observation cafd0809-f142-472a-aedc-c6736b9c10ed · outbound
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
Source-reported events for the cited work
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Observation 8d405126-6976-48db-b5ed-50ba27ac96bd · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations A hundred days of continuous integration,
Reference 6
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Observation c931b605-36c9-47f0-8cdf-8b256b6ba676 · outbound
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
Source-reported events for the cited work
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Observation 328be8ee-4a91-438b-be2b-79fc0a04feed · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Tools and benchmarks for automated log parsing,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dbd9ca2a-81e1-4524-b010-facc3c930a38 · outbound
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Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7022c7c5-b97a-41f9-9659-30378f710d7f · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Detecting ci/cd workflow errors through visual inspection of logs,
Reference 11
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations mu printgen: Supporting workflow logs analysis through visual microprint,
Reference 12
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Observation 6ecda002-a241-401b-af32-80744b48dee3 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Toward automatically completing GitHub workflows,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48632c9e-3113-46c3-9769-943c91f42510 · outbound
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Reference 15
Source-reported events for the cited work
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Observation 9a0896cd-0b99-44a1-b4eb-74a0a95e423e · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Using an llm to help with code understanding,
Reference 16
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Observation dad8937c-dfd3-45d0-b436-a2bde4be7cfa · outbound
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
Source-reported events for the cited work
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Observation 09b215ba-9440-41db-b74b-549dc8f90ec3 · outbound
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Reference 19
Source-reported events for the cited work
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Observation 7357210c-0d18-4776-8947-5eb3f4b39859 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Grounded copilot: How programmers interact with code-generating models,
Reference 20
Source-reported events for the cited work
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Observation cf2aa6cd-bc7e-493b-bb66-0cf7ca397d96 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations “it would work for me too
Reference 21
Source-reported events for the cited work
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Observation ffff9c6b-5abe-496f-bf3b-bc5b678ea05b · outbound
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Reference 22
Source-reported events for the cited work
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Observation dc8b9d9a-bb4c-4000-bdee-6c5ec3f66346 · outbound
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
Source-reported events for the cited work
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Observation 13616854-e528-4ff2-8a4d-287a9edc4cc9 · outbound
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
Source-reported events for the cited work
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Observation 86d5887f-c53d-4dea-a828-05b2b97ab632 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Exploring the learnability of program synthesizers by novice programmers,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25384787-0c40-4619-9257-b48fa337fef7 · outbound
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
Source-reported events for the cited work
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Observation 539662a2-bb0f-4d98-905e-1f36f847a736 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Top programming languages of 2022 - github octoverse,
Reference 27
Source-reported events for the cited work
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Observation 2dc4cb12-3cc2-44ba-a723-c702dab99fa9 · outbound
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Reference 28
Source-reported events for the cited work
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Observation cd1722bc-8430-4e33-8bda-cded0b8e908f · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Storing and sharing data from a workflow,
Reference 29
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Observation a97c7f65-3ee3-4e41-a9da-770625638367 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations LLaMA: Open and Efficient Foundation Language Models
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 116395db-f810-48a9-9493-e34dbac23f76 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Language models are few-shot learners,
Reference 32
Source-reported events for the cited work
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Observation 0ea082fe-b80c-44fa-abd8-6d8bb9bb78b1 · outbound
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
Source-reported events for the cited work
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Observation d19a9d5a-fd77-48b8-8fda-e95cc607df71 · outbound
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
Source-reported events for the cited work
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Observation 05fd1cdf-0ccf-46da-94cb-ad6a5297f6d8 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Language models are unsupervised multitask learn- ers,
Reference 35
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Diversity in software engineering research,
Reference 36
Source-reported events for the cited work
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Observation d8748630-86d8-4289-9af4-2445224e4a6e · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Sampling in software engineering research: A critical review and guidelines,
Reference 37
Source-reported events for the cited work
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Observation 06086f68-13c9-4433-89ed-4641fb40100c · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Improving developer participation rates in surveys,
Reference 38
Source-reported events for the cited work
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Observation 9dfd2094-8a49-4fd8-8b5c-c64b89bfdf37 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Personal opinion surveys,
Reference 39
Source-reported events for the cited work
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Observation ba20126f-d15a-4fc2-8bf7-236a4b16bb94 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Empirical standards for software engineering research,
Reference 40
Source-reported events for the cited work
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Observation 334b41c0-612b-449d-ae04-eeb40e35bcdb · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Card-sorting: From text to themes,
Reference 41
Source-reported events for the cited work
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Observation 2c7720e8-d2fc-4d2a-aa9b-f4fd3863dfca · outbound
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
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges
Reference 43
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Reference 45
Source-reported events for the cited work
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Observation e5a2bd5e-7594-45f6-8e14-b6d8470d181c · outbound
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
Source-reported events for the cited work
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Observation 16e2bf65-525a-4f72-9951-fa3264adeac7 · outbound
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
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Chain-of-thought prompting elicits reasoning in large language models,
Reference 48
Source-reported events for the cited work
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Observation 2fd9f1c9-13b8-4dbf-9d24-95c065eb86bc · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
Reference 49
Source-reported events for the cited work
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Observation ef63b2b4-0a06-4e7c-b5c7-c6d033e8ed78 · outbound
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Reference 50
Source-reported events for the cited work
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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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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Reference 52
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Reference 54
Source-reported events for the cited work
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Reference 55
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Rencos: Improving code summarization with retrieved similar codes,
Reference 56
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Human vs. machine-generated summaries: A comprehension study,
Reference 57
Source-reported events for the cited work
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Observation 49a28a46-614e-4c5a-81d5-3d5f016f3150 · outbound
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
Source-reported events for the cited work
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Observation a23e2b0f-ce2f-4b50-b685-5525e961aec5 · outbound
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
Source-reported events for the cited work
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Observation 0f7dd0b0-e470-4a9f-b013-9ce8ad8029ad · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Semantic similarity metrics for evaluating code summarization techniques,
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Side: A contrastive learning metric for code summarization evaluation,
Reference 61
Source-reported events for the cited work
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Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarizing source code using neural attention models,
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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Reference 63
Source-reported events for the cited work
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Reference 64
Source-reported events for the cited work
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Reference 65
Source-reported events for the cited work
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Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5bc7d673-030b-4fc5-beaf-65afcac36a79 · outbound
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ac7518d-d90d-43fd-9d55-18e8ef52ae2d · outbound
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Reference 68
Source-reported events for the cited work
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Observation b8b2a2cc-9fd2-433d-8881-45e789814067 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarizing software artifacts using machine learning: a comprehensive review,
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c11269a-846c-4747-ab38-8b499ff6d998 · outbound
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Summarization techniques for software artifacts: a comprehensive review,
Reference 70
Source-reported events for the cited work
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