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Paper Citation Record · LEDGER

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

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.

pith.paper-citation-record.v1
2501.16495 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:52:24.674577Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

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  • verified fuzzy58
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57812bc4-f1b0-4209-bed5-d36aed646af9 · outbound

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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verified fuzzy
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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.

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Observation 334eea53-5925-495f-9bc2-8896fada4972 · outbound

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

Resolution
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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.

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Observation 322a9fd2-6fe2-4efe-b738-6e7253ce7455 · outbound

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

Resolution
verified fuzzy
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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.

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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

Resolution
verified fuzzy
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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.

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Observation cafd0809-f142-472a-aedc-c6736b9c10ed · outbound

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

Resolution
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raw_fallback, observed 2026-08-10T12:52:26.027743Z

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.

source=pdf_text observed=2026-08-10T12:52:24.346618Z digest=sha256:c996d4b4f4c4864ca47a554162f58287c795f5fa9100e72d03ea09df794231df

Observation 8d405126-6976-48db-b5ed-50ba27ac96bd · outbound

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

Resolution
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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.

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Observation 37235060-4f7c-4da0-aeb8-ab56bc6c97e3 · outbound

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

Resolution
verified fuzzy
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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.

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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

Resolution
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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.

source=pdf_text observed=2026-08-10T12:52:24.362495Z digest=sha256:dc66c920ec18b43fb39d2ffaddace03a114fc3c5d624fa3816e5311de6222388

Observation 328be8ee-4a91-438b-be2b-79fc0a04feed · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.959857Z

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.

source=pdf_text observed=2026-08-10T12:52:24.367514Z digest=sha256:02bfeaf489553f74c1a6e45b276aa1bfc5a8181b9abe841c8156d03f3a94b6a5

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

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.372457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7022c7c5-b97a-41f9-9659-30378f710d7f · outbound

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T12:52:24.377948Z digest=sha256:f56a27c526c27d5822fc5f60c10d3d36a2b6950bf734ef1f2e50d94b87e58d70

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.926826Z

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.

source=pdf_text observed=2026-08-10T12:52:24.382817Z digest=sha256:da2592b803c769e7d4c95114d20bc5250507a18d24183ecf4a6bb8476b86a686

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.909983Z

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.

source=pdf_text observed=2026-08-10T12:52:24.388028Z digest=sha256:d75d2775fcd3df6a83f44457326c008ce0a148d6a5463b9f60d3d65c1f70afb1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.892536Z

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.

source=pdf_text observed=2026-08-10T12:52:24.393044Z digest=sha256:958d68b99954dd1623a5abab19fcba5be5b3d1745d0b274c1e7c42c4a94e0813

Observation 48632c9e-3113-46c3-9769-943c91f42510 · outbound

This paper cites Code review automation: strengths and weaknesses of the state of the art,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.874273Z

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.

source=pdf_text observed=2026-08-10T12:52:24.398296Z digest=sha256:33b16063d01e69fb0bd0ac1b07420abdb65be21707a65652ea84b08e89f2af43

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

Resolution
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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.

source=pdf_text observed=2026-08-10T12:52:24.403260Z digest=sha256:888d9acd6ee6cc943a0fdf55f35dcfda6bbaf955023d9699c36bf316cd803250

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

Resolution
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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.

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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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T12:52:24.413318Z digest=sha256:e836aca0ad443cef38af7ee0030368e7268a7c5295b296df512f8f338f2b1cc7

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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verified exact
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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.

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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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T12:52:24.423306Z digest=sha256:4977d68e62c6af87bbb999dc7e4a3bbba108891bbb6ce56e954f4433b45f71c0

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

This paper cites “it would work for me too.

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

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.428537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.428537Z digest=sha256:9b459711043de56a4610e9a5958dba30301031e39509b1a434c6535f2bf508af

Observation ffff9c6b-5abe-496f-bf3b-bc5b678ea05b · outbound

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

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

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.

source=pdf_text observed=2026-08-10T12:52:24.433437Z digest=sha256:21deda0ebb4b0b36bd1a221f612d94b5fe79d80ab2f72de58d78e53e746e2c53

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T12:52:24.438456Z digest=sha256:7f95f5a55fecee166eca36e338d8948563b7f580e5403f3de7ca1cd001d46bb6

Observation 13616854-e528-4ff2-8a4d-287a9edc4cc9 · outbound

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T12:52:24.443272Z digest=sha256:3a3a2103b181669af4f09f8439e5403e428b610edd2ff843d19af902f06dfe07

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

This paper cites Exploring the learnability of program synthesizers by novice programmers,.

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

Reference 25

Resolution
verified fuzzy
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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.

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Observation 25384787-0c40-4619-9257-b48fa337fef7 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.453768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 539662a2-bb0f-4d98-905e-1f36f847a736 · outbound

This paper cites Top programming languages of 2022 - github octoverse,.

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

Reference 27

Resolution
verified fuzzy
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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.

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

This paper cites Sampling projects in github for msr studies,.

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

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.675040Z

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.

source=pdf_text observed=2026-08-10T12:52:24.463885Z digest=sha256:b7d6dbabb71b3b673fa364c3e4330cada466dd72448c16298d3985b385929d15

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

This paper cites Storing and sharing data from a workflow,.

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

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.654782Z

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

This paper cites An Empirical Comparison of Ethnic and Gender Diver- sity of DevOps and non-DevOps Contributions to Open-Source Projects,.

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

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.

source=pdf_text observed=2026-08-10T12:52:24.474985Z digest=sha256:2eb2df7e2ed2827ae52aeafada0ddfbac5072d8821e28ec2f783da7f30e3a13f

Observation a97c7f65-3ee3-4e41-a9da-770625638367 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

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

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.480461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.480461Z digest=sha256:2467f84d1128dc152f751aaf86485cfaca2a3d0777eef8f703d3ccc270c954ff

Observation 116395db-f810-48a9-9493-e34dbac23f76 · outbound

This paper cites Language models are few-shot learners,.

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

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.615911Z

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.

source=pdf_text observed=2026-08-10T12:52:24.485937Z digest=sha256:4e816e94b1b4e98ef07a748c8c9cf84ed8cf0f8d26cc0dcf7649eb3a4bf55cba

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

This paper cites Comparative analysis of pre- trained language models for natural language understanding,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.597327Z

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.

source=pdf_text observed=2026-08-10T12:52:24.490998Z digest=sha256:f67475225b8f1554b07287bbdc378fe3f6b8d09d69cf8be30249e099c8911c19

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

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.580141Z

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.

source=pdf_text observed=2026-08-10T12:52:24.495815Z digest=sha256:a9046ba1b1067af10d5bcb317fc3a08593d3479b2083147292f71f5ab1647c22

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

This paper cites Language models are unsupervised multitask learn- ers,.

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

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.563134Z

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.

source=pdf_text observed=2026-08-10T12:52:24.500668Z digest=sha256:67ad4b36a560504edc628663e87ce9296745690eba92420c1ca1e6285d2b8aa4

Observation e7055aa3-c586-495d-98d0-314ef506f325 · outbound

This paper cites Diversity in software engineering research,.

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

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.546056Z

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.

source=pdf_text observed=2026-08-10T12:52:24.505615Z digest=sha256:86155ccf1a714acbc019eb1d1778ed6d3cee7cf7b2005d4a6c7313c875234023

Observation d8748630-86d8-4289-9af4-2445224e4a6e · outbound

This paper cites Sampling in software engineering research: A critical review and guidelines,.

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

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.510158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.510158Z digest=sha256:63d16a41317c3b6f94730392ff29847829c6fdf7e87eaef3ee7d841f0f8c4cc8

Observation 06086f68-13c9-4433-89ed-4641fb40100c · outbound

This paper cites Improving developer participation rates in surveys,.

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

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:52:25.518011Z

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.

source=pdf_text observed=2026-08-10T12:52:24.514355Z digest=sha256:91fc546d4872aadb5b07661168486c6af648112db1772c7a3f1c36d674ab3a94

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

This paper cites Personal opinion surveys,.

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

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.518819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.518819Z digest=sha256:4248d6ff072419a7eb69263a2a1815702d613be4e149dc4cc35cb7cbc1fa8ef3

Observation ba20126f-d15a-4fc2-8bf7-236a4b16bb94 · outbound

This paper cites Empirical standards for software engineering research,.

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

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.523180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.523180Z digest=sha256:c29a6760e194fcf3df95f7ba0c8a95c59c195d6b48ec61aae81bbff1ab1d3713

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

This paper cites Card-sorting: From text to themes,.

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

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.

source=pdf_text observed=2026-08-10T12:52:24.530161Z digest=sha256:aac083c55dd7cd9c054577abc8122f825921097a028db6168a5cbbfe41a24509

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

This paper cites Breaking the silence: the threats of using llms in software engineering,.

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

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.

source=pdf_text observed=2026-08-10T12:52:24.534690Z digest=sha256:af1fdd886abcb3447dda7cee6976ea630f105d0b4eaf138cccdb174fd724bc61

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

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.539444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.539444Z digest=sha256:0f59ef237db54e0fff6502eba63694c2eeccae9a9e391c79255666237ab64792

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

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.

source=pdf_text observed=2026-08-10T12:52:24.544115Z digest=sha256:35ffbc24d9671ede1a73390572bece5a4983e83f8fac1b46c0e95b757cfd9dc0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.549364Z digest=sha256:4bec1559837df283fe29e6cbeaf344e5eab5fd61a2c8f12255eecf001e985159

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

This paper cites Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility.

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.554649Z digest=sha256:438640b5fd43484ea58d628ce8feed88e501b5c095f9eb47adf2eb518ecf2ef3

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

This paper cites Fine-tuning language models to find agreement among humans with diverse preferences,.

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

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.

source=pdf_text observed=2026-08-10T12:52:24.559942Z digest=sha256:cd99db4a550a7005a31b08deda32994b78a87950f26dbb4248ac9f6363096818

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

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.564851Z digest=sha256:a3edd7c8007d0dda064e78855f447112411c88325394d0dc06255d9b8ecf7935

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

Resolution
unresolved
no resolver link, observed 2026-08-10T12:52:24.569727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:52:24.569727Z digest=sha256:2348d12fe51cdc7163200d9b7a9b5d9f16df27038ee33eaf84e6f1993588f168

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

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.574931Z digest=sha256:06e5c614f8ea664fa748d0a6a12bd1c497f0101873dcb4e2c4d97544dfc0bf79

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.579770Z digest=sha256:487ecfc424aaeecd68466af32d95cd51c1ec569506b4bafd7d246b1ff9152802

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.584586Z digest=sha256:2ef34d057ceda68249ee3e1b3b8b058ca726d3b9ac91c3410068cd4508e744e8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.590037Z digest=sha256:1e9abd88a1757426446887c546b8e72df054bd0d6ec98100925354b8d2b04106

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.594917Z digest=sha256:8f6ef1ab7c45559222296d60f3c3fce214d8379db428eb33c374d3056585ed65

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.599784Z digest=sha256:75c635bfaea764dd6e0cb7310208a9c092c358e9c5b02acb9e349840d3b72150

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.605069Z digest=sha256:ad20d2f6c390d42177f3de983c200d58f267ffbb2afc1045f4a338b46d906b24

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.610169Z digest=sha256:65ad420801179c4d2b4a3002fd83708d35d9a4687c99cdf912b48955c97831c9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.615165Z digest=sha256:0baf7a5bdee805939483e05b7a3b213800da0399991e5cfcf8f210a51fc9f88f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.620177Z digest=sha256:bf28e3129ea02ca31112946e63d00b2d41949d12db178ba7614ee317c5fc34ad

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.625242Z digest=sha256:15a95886f41c8467c85dc7072b6cfcadbb42d7afabd6ddfd2f80e98210a7bb60

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.630367Z digest=sha256:3dc6dcf79e7dcf5c5abb9470c761064068b1a3f60dc302bbf769b5a775537e87

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.635178Z digest=sha256:4eed798edea7ebbc69aa4f814d574086ddac0a29f8f5888efba9d8ecc194549e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.640034Z digest=sha256:3eb6656f0d2cde52e815e9d386b052a881b141d6f80b817a4549f671f5cc4d8d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.644789Z digest=sha256:3c89ca71f07ae1920305e26d1574baf9b351eb531769132c38025a0ac9eda1ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.649537Z digest=sha256:bc3bfcd3bc8685002d2d74bcb87aab82951dacd0a4bb422bff8297f4bc18f476

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.654566Z digest=sha256:a77dc824d44faa19f43aeb45b0ed45af7ed50eb373221c808de0af399b0b0283

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.659546Z digest=sha256:af832a22771f7664fb5dae695d0550a33297ff8a4240fac6e9622eb97c62a0b7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.664459Z digest=sha256:114c8f7c0df38c5b38b7f65efa867019e89a36057556a22f9864e2b78184d296

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.669707Z digest=sha256:ffff9c2bac2ee7c4c5d77dbb02a969aff63427bc75beeabc7b176fd5067b00e6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T12:52:24.674577Z digest=sha256:6233ae70dfa1e2382e6ad16e83a6c810f97c9fe503e2f4fb9d990c3b8a3cdd4d

Pith citing papers

No inbound Pith citation observations are available.