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Paper Citation Record · LEDGER

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models

As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.01451.

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

pith.paper-citation-record.v1
2608.01451 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:12:40.220300Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 224f751e-e447-44b8-89a7-8757060f5658 · outbound

This paper cites Continuous Integration,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Continuous Integration,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:46.672097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.068534Z digest=sha256:1eb36e5cf04db30448453a78b3f04d13305190bfaa231aee94e3752ba65cf405

Observation adeb0a2f-557a-4206-885c-39994ad6b31e · outbound

This paper cites Developers’ perception of GitHub Actions: A survey analysis,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Developers’ perception of GitHub Actions: A survey analysis,

Reference 2

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raw_fallback, observed 2026-08-06T00:12:46.520931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.123440Z digest=sha256:06f752ed727e45147b4808348c5982b98b83ada78ce2755dad05da65045df2f2

Observation 60a24981-76cf-4e76-95c3-4d8da15a77d6 · outbound

This paper cites Workflow syntax for GitHub Actions,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Workflow syntax for GitHub Actions,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:46.402295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.197425Z digest=sha256:b8f3270b7f179cf199d17684cde56c2f792a1e39a08b0ab59eb0bdca071498e2

Observation 6b2cde33-e49e-470e-b8de-19174fa4f31d · outbound

This paper cites An empirical study of the long duration of continuous integration builds,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models An empirical study of the long duration of continuous integration builds,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:46.269618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.255956Z digest=sha256:deaae47c0402248357992fdb25c3f13ba114ff1c2d61b4e2b50294efd049950e

Observation 29f4f4bb-11e5-4d95-a9be-1bc381b47da5 · outbound

This paper cites Studying the interplay between the durations and breakages of continuous integration builds,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Studying the interplay between the durations and breakages of continuous integration builds,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:46.131667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.321056Z digest=sha256:c94b657b386f93c50d3563fdabb16fdc0b15e386d51a1a8c6921f87a2ed5f438

Observation 3873b270-19e8-4989-8611-b95af8c8d245 · outbound

This paper cites Automated code generation for information technology tasks in Y AML through large language models,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Automated code generation for information technology tasks in Y AML through large language models,

Reference 6

Resolution
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raw_fallback, observed 2026-08-06T00:12:46.021676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.408304Z digest=sha256:fe60cc40d35bb1fa510e564a7e69f251308d5f0e1725e63e70da3925c441e971

Observation fd5e7d3a-7b2d-43f1-9125-1a087e4d355c · outbound

This paper cites Usage, costs, and benefits of continuous integration in open-source projects,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Usage, costs, and benefits of continuous integration in open-source projects,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:45.851198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.494680Z digest=sha256:10e3c1fddc22015aeb444ae4803f55c605c2b12a72283b25148944df95e41baf

Observation 51fc782a-d738-4353-9d30-ae28d20af740 · outbound

This paper cites A conceptual replication of continuous integration pain points in the context of Travis CI,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models A conceptual replication of continuous integration pain points in the context of Travis CI,

Reference 8

Resolution
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raw_fallback, observed 2026-08-06T00:12:45.702604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.580089Z digest=sha256:3d04e98978d9dfd0959bd13e98d682f7b3c503fae9da1f0fcee7d8b298e71bc9

Observation 06e549cd-8495-4eed-95ca-86e479b6c9b9 · outbound

This paper cites An empirical characterization of bad practices in con- tinuous integration,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models An empirical characterization of bad practices in con- tinuous integration,

Reference 9

Resolution
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raw_fallback, observed 2026-08-06T00:12:45.585314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.690957Z digest=sha256:8fc7943178d2aad1d71b694f4dcdf6b5e2bdb5540ace688643bec59ad4681ac3

Observation 1c67aae3-f4dd-4cad-8729-c564de3c4a7b · outbound

This paper cites Configuration smells in continuous delivery pipelines: a linter and a six- month study on GitLab,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Configuration smells in continuous delivery pipelines: a linter and a six- month study on GitLab,

Reference 10

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raw_fallback, observed 2026-08-06T00:12:45.470001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.810751Z digest=sha256:c97506d67979fc672eae8449de2e488db9b61cb94d38fa48d98b09c79faf4a55

Observation 39e916d9-d930-45e4-9e19-e0058f02c95f · outbound

This paper cites Toward automatically completing GitHub workflows,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Toward automatically completing GitHub workflows,

Reference 11

Resolution
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raw_fallback, observed 2026-08-06T00:12:45.315947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.923513Z digest=sha256:e6255722870ccdc084ce2fdeb26faf086824cf0eb0f7f94b1d63ae4149571660

Observation 050eacc6-b4f7-4374-8914-8c859aecc49a · outbound

This paper cites On the effectiveness of large language models for GitHub workflows,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models On the effectiveness of large language models for GitHub workflows,

Reference 12

Resolution
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raw_fallback, observed 2026-08-06T00:12:45.157807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:35.966801Z digest=sha256:2f7ef23b5d44faa9efc22b2eaeae2385a201a478bad7a7b4fb1c68ba81536539

Observation c61c627f-d685-4498-ba5e-03897c31db6f · outbound

This paper cites Can LLMs write CI? a study on automatic generation of GitHub Actions configurations,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Can LLMs write CI? a study on automatic generation of GitHub Actions configurations,

Reference 13

Resolution
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raw_fallback, observed 2026-08-06T00:12:45.043135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.046906Z digest=sha256:2a774bcd5926bbd198721c84fac4c0c9ae900c3d6a45970eb79d4bda616faf12

Observation a3bf4833-9482-44d8-a7fb-8eeb1af1dcd7 · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Large lan- guage models are zero-shot reasoners,

Reference 14

Resolution
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no resolver link, observed 2026-08-06T00:12:36.122005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:36.122005Z digest=sha256:0fa067006f73d6b772e3d972bfff73291a773f9040b6ecd1a43e3384300ff3c3

Observation d6d77772-3e66-48a2-a5a7-4a2656094f3e · outbound

This paper cites Strauss and J.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Strauss and J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:44.903837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.189298Z digest=sha256:06f15cc4b9d6c8a82d1f5763024d643b8a1e14f9d9f77b52bb1ab06682053aff

Observation cf4f6aeb-1673-45b0-a54b-b173ffecc49f · outbound

This paper cites Automatically generating dockerfiles via deep learning: Challenges and promises,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Automatically generating dockerfiles via deep learning: Challenges and promises,

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T00:12:44.776592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.314034Z digest=sha256:f64372cb05fd728011c59276482e07c4a05751c7a60eba56cf39bd6574c1096f

Observation 12ee38c5-3e87-4ee1-8df0-ddd977a486d8 · outbound

This paper cites Automated DevOps Pipeline Generation for Code Repositories using Large Language Models.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Automated DevOps Pipeline Generation for Code Repositories using Large Language Models

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:36.448460Z digest=sha256:7de96593462e19032fba324c1e606cc9a5561562999c449a7c90aef8b4f2bc60

Observation 6b1dfa17-3b1c-4609-b4b4-9a480247bbce · outbound

This paper cites BLEU: a method for automatic evaluation of machine translation,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models BLEU: a method for automatic evaluation of machine translation,

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T00:12:44.650906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.553092Z digest=sha256:1cee15473fa513063b21051c12c531c64a5fe773e1ae1ec21dcce96273a44b4d

Observation c4d96f39-3a15-4d28-8c90-e4fb95f3160a · outbound

This paper cites CrystalBLEU: precisely and efficiently measuring the similarity of code,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models CrystalBLEU: precisely and efficiently measuring the similarity of code,

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T00:12:44.482221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.629427Z digest=sha256:6699bd36a8b77185881e76aa249ec020dc0152a5ba3910c736aafb16106f9420

Observation c81866ce-6e10-44ca-be8f-dbc0bedda45d · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models ROUGE: A package for automatic evaluation of summaries,

Reference 20

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no resolver link, observed 2026-08-06T00:12:36.709709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:36.709709Z digest=sha256:ce9da75404ae3fe2fb3dc514fe42832385be558a52802455d60cb54710b426fc

Observation 3b3b7c38-b37e-45e1-92ec-0c3f4ec6adc1 · outbound

This paper cites chrF: character n-gram F-score for automatic MT eval- uation,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models chrF: character n-gram F-score for automatic MT eval- uation,

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T00:12:44.353567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.781343Z digest=sha256:67e9376aeec87b590a5393ec3bbee7ae6fdaaeecbbde16b24065da032d6645e0

Observation 316a31b8-d921-4afa-a84b-1bebf8e3a608 · outbound

This paper cites Sentence-BERT: Sentence embeddings using siamese bert-networks,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Sentence-BERT: Sentence embeddings using siamese bert-networks,

Reference 22

Resolution
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raw_fallback, observed 2026-08-06T00:12:44.175608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:36.892543Z digest=sha256:de51ed6efb3c150e167ee6f8f6500579ef0d1542cc9b6853c8ac7e600b8cfdc4

Observation 34b3a2d3-f725-4a65-ace2-a9834f4ae66a · outbound

This paper cites Simple fast algorithms for the editing distance between trees and related problems,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Simple fast algorithms for the editing distance between trees and related problems,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:36.996762Z digest=sha256:e7d7a6c8fbaa974937ae9188b8227947417c0dc3a18e17239dd06aa056a8bdca

Observation 2e834317-57b1-4386-99c3-baef427f0a81 · outbound

This paper cites Doc2CI: A multi-service study of CI configuration generation using large language models (replication package),.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Doc2CI: A multi-service study of CI configuration generation using large language models (replication package),

Reference 24

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raw_fallback, observed 2026-08-06T00:12:44.047005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:37.094315Z digest=sha256:436c26f6ab4edf10e681f7cae712147ea863efc8bc803b939d4cf4d1f2da2412

Observation 2f39d9b2-3c00-4fd2-a1f2-036bd27a646a · outbound

This paper cites GPT-4 Technical Report.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models GPT-4 Technical Report

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:37.224541Z digest=sha256:404527772b2b371a044df90be5ff65ab7721e6a6586404479be9e9cf216c94f6

Observation e403e3c9-5cdf-4228-93b8-6f47d06b5237 · outbound

This paper cites Introducing GPT-4.1 in the API,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Introducing GPT-4.1 in the API,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T00:12:43.897854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:37.287524Z digest=sha256:2ae4df0f9e75e743d0bcedc4cf2115b72d74a8c6a0af44b359d3016e7177ef80

Observation d40c5de6-22bc-4f6e-a36c-7549971d8081 · outbound

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

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-06T00:12:37.392583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:37.392583Z digest=sha256:0029320c3eb48f89ea2ff9f60a20263ed89100d42d4479982f713f711385e514

Observation b39dce43-a3eb-478c-8899-10832badf5aa · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Code Llama: Open Foundation Models for Code

Reference 28

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no resolver link, observed 2026-08-06T00:12:37.461687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:37.461687Z digest=sha256:cd138c1659049179fed5afe16b0aed18df4ecd92ab00925f4fd5213ff9d90cb6

Observation 40ad8f73-835d-4f08-ac60-c8b7bfc79d2b · outbound

This paper cites Gemma 3 Technical Report.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Gemma 3 Technical Report

Reference 29

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unresolved
no resolver link, observed 2026-08-06T00:12:37.583033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:37.583033Z digest=sha256:0c5057355aa3894b88b7f186882a56c56dab459b48c7b8219f588fa2e594881f

Observation 67c7b9f8-320b-49c5-b25f-476bd5a0917e · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models CodeGemma: Open Code Models Based on Gemma

Reference 30

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no resolver link, observed 2026-08-06T00:12:37.696905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:37.696905Z digest=sha256:3e7d47e6fca581180002e8bf6ff70214ee5eaefa8357a77aac354cee8f34f8df

Observation 4a329079-aa28-47e4-9fe6-3b00775fee53 · outbound

This paper cites MTEB: Massive text embedding benchmark,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models MTEB: Massive text embedding benchmark,

Reference 31

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raw_fallback, observed 2026-08-06T00:12:43.721238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:37.777966Z digest=sha256:95b0b685423ae673d45f04b815506650202bac2f7e067a0f2fe89d4f06b9ad63

Observation 9d398c61-451d-4366-9b4c-9dd2a3490b97 · outbound

This paper cites A little help goes a long way: Tutoring LLMs in solving competitive programming through hints,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models A little help goes a long way: Tutoring LLMs in solving competitive programming through hints,

Reference 32

Resolution
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raw_fallback, observed 2026-08-06T00:12:43.586191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:37.905380Z digest=sha256:29b48db569e515e41e6a9ecd2d92642c9fb1ffbf7c4d61f8d6e7d422a9767e28

Observation c20d85c0-3152-4ec7-9541-64670ea010af · outbound

This paper cites An empirical study on the code refactoring capability of large language models,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models An empirical study on the code refactoring capability of large language models,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T00:12:43.400470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:37.958018Z digest=sha256:671f11e169448eab4ad621e07b8a49b110fe3c94014d4821ac363e80a748721a

Observation f7c4e6a0-3da5-4d59-80b9-b155e6a6cdb4 · outbound

This paper cites GitHub Actions JSON Schema,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models GitHub Actions JSON Schema,

Reference 34

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raw_fallback, observed 2026-08-06T00:12:43.264117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.020658Z digest=sha256:e24943636852f2c1ceff69afbe91a7a87e1334cbd90bd551d1c6f611d42f5ed6

Observation 698cc3f5-4da5-4a12-8e12-bb60350e8158 · outbound

This paper cites Travis CI JSON Schema,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Travis CI JSON Schema,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:43.150150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.077661Z digest=sha256:9e5f8b67cf34b21777362bf06791507518a73a9988e4ee8b84a874618f4cf07e

Observation b42ac873-7740-4a40-9e3a-8fe238e2bc06 · outbound

This paper cites circleci-yaml-language-server: JSON schema for CircleCI configura- tion,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models circleci-yaml-language-server: JSON schema for CircleCI configura- tion,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.972872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.177631Z digest=sha256:c4aa2e6c9750f2aa1efb71406a7be3d2aa884c5eb87900536c5b083b98510080

Observation 52e3382d-4714-421a-b43f-65540397e634 · outbound

This paper cites GitLab CI/CD configuration JSON schema,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models GitLab CI/CD configuration JSON schema,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.871566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.261185Z digest=sha256:d37da5e519b9669d428319d55e28494c8e02518f7b41e07d0b227e2813686d72

Observation 6605afa7-430a-4c95-a0fb-4c04651322bc · outbound

This paper cites actionlint: Static checker for GitHub Actions workflow files,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models actionlint: Static checker for GitHub Actions workflow files,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.651542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.346413Z digest=sha256:049ba0654f75d35ad8d3681e46f58cdf2aa260778b79b776757fa467962a8caa

Observation 8c504e9a-cb89-4a88-a149-d0614c5936cd · outbound

This paper cites How to validate your CircleCI config- uration,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models How to validate your CircleCI config- uration,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.522575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.437090Z digest=sha256:dfc08cca5a8e4455cdd4cf11eee91eaf9cb28432a37b102255a89cd134c6e3c0

Observation fe8d407d-10fe-486b-b528-bb7409514c97 · outbound

This paper cites CI lint: Validate GitLab CI/CD configuration,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models CI lint: Validate GitLab CI/CD configuration,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.384565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.512420Z digest=sha256:1def0f46a0b285a4258feedc4af425ddc0937054066da44666821efeb019ee46

Observation c8b35f57-7df9-4490-817c-f9a6ef5ab614 · outbound

This paper cites travis-yml: Travis CI configuration processing and validation,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models travis-yml: Travis CI configuration processing and validation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.241111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.614607Z digest=sha256:a9d5abae64eac303d65fab1c03c9ed89fa55b62c16519c98494622efd7509427

Observation 48faf436-adbb-4c24-a7b9-cef057ae5bda · outbound

This paper cites A coefficient of agreement for nominal scales,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models A coefficient of agreement for nominal scales,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:38.691939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:38.691939Z digest=sha256:c407396a16b5e9c7a8ea6dc14110d6556cfb5c4c47b98aa90049ad1c1e936b60

Observation 62671564-03eb-49d1-8001-c922ae570080 · outbound

This paper cites The measurement of observer agreement for categorical data,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models The measurement of observer agreement for categorical data,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:38.791839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:38.791839Z digest=sha256:f312a81c02fee7077ae9d5d1e090714fd03cb0e627f1049c1385d096bb171f52

Observation 1c3b53eb-801b-4b85-86be-84dfb98318ea · outbound

This paper cites The use of ranks to avoid the assumption of normality implicit in the analysis of variance,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models The use of ranks to avoid the assumption of normality implicit in the analysis of variance,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:42.087814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.884263Z digest=sha256:d350ceef2d5131ca7bf320d4932470d6eb021ddff6f82ae6009e586635c8ef4a

Observation 7a9c17af-fe64-43ec-893a-5e3eddea7112 · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Statistical comparisons of classifiers over multiple data sets,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.935827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:38.984594Z digest=sha256:95eaec22206a8eae1e3dbf161b20500fa1fe6c12948abb02cd3156daab20f1ac

Observation 66b230e9-d91e-4895-8cd5-b5727e7714fa · outbound

This paper cites A practical guide for using statistical tests to assess randomized algorithms in software engineering,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models A practical guide for using statistical tests to assess randomized algorithms in software engineering,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.782610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.066364Z digest=sha256:0613fd33e49b0a746a1d7c5943ee8cc743d85d7eccf73aec34b630d0132c3e19

Observation e4a9223e-6610-4f62-a16c-ebbdb6bf194d · outbound

This paper cites Individual comparisons by ranking methods,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Individual comparisons by ranking methods,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:39.135199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:39.135199Z digest=sha256:36ed8a0c474931c4dcccc2eb61b79c7951e280024f2fbdb92c339152d771f2f2

Observation ae5491f7-7486-40ca-9ac1-591360e8a19c · outbound

This paper cites On a test of whether one of two random variables is stochastically larger than the other,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models On a test of whether one of two random variables is stochastically larger than the other,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:39.207703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:39.207703Z digest=sha256:940dbcd034d7dc478d316c4fae5428f2904ffe4d280f7fbf7de060c510a6a9b3

Observation cf304119-7d06-430c-b21d-07372bd8e12c · outbound

This paper cites A simple sequentially rejective multiple test procedure,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models A simple sequentially rejective multiple test procedure,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.639126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.287581Z digest=sha256:8b40d2253e3d3e2633e67299cf9ef661c14da04ba9d57db08b34df5df53fdbf7

Observation d3dc2603-4ecf-4580-94a2-dca58b1419c1 · outbound

This paper cites The proof and measurement of association between two things,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models The proof and measurement of association between two things,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.571624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.394993Z digest=sha256:b218251256f2f3b74985b9d8471b38cf6e2284a5d51a595950e2e6d5ecef340d

Observation bc6a311f-cf9f-426a-aa25-56f2250c30ce · outbound

This paper cites Dominance statistics: Ordinal analyses to answer ordinal questions.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Dominance statistics: Ordinal analyses to answer ordinal questions

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:39.491794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:39.491794Z digest=sha256:265ab53ff1aa96a92deb2b006b61a905678dce01f44b2cb505265dd823bea4ca

Observation f8ca5426-6b46-4be7-9f09-a670389ad76b · outbound

This paper cites Appropriate statistics for ordinal level data: Should we really be using t-test and Cohen’s d for evaluating group differences on the nsse and other surveys,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Appropriate statistics for ordinal level data: Should we really be using t-test and Cohen’s d for evaluating group differences on the nsse and other surveys,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.424179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.598377Z digest=sha256:9867fdc794015631ab9920aa6b485bb310968956c8247b633af18cc32bb720ee

Observation b7efd89c-f354-41b7-82bb-c0037d9e46bd · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models LoRA: Low-rank adaptation of large language models,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.293070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.661089Z digest=sha256:3b47661c918d8a5625cc2f561cc14062adb777a9b0fc82757cb583b94acaba62

Observation 63f6e129-6161-4034-8aa9-9f29cf369e9b · outbound

This paper cites QLoRA: Efficient finetuning of quantized LLMs,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models QLoRA: Efficient finetuning of quantized LLMs,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:39.778230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:39.778230Z digest=sha256:4d6dcb9206be6b120ff44f560ca1947eee59927009a91fb521fccf727d1e925a

Observation b8a7a10f-3afe-467d-83c2-8c0e6ddf82db · outbound

This paper cites Note on the sampling error of the difference between correlated proportions or percentages,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Note on the sampling error of the difference between correlated proportions or percentages,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:39.847882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:39.847882Z digest=sha256:87eabdd79c99cac57420af715c51b94ca6bed11ba25606ab5f7b098efa56a572

Observation 9023c4b0-b9ff-4f85-9a7b-399a0e465f9a · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive NLP tasks,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Retrieval- augmented generation for knowledge-intensive NLP tasks,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:41.105395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.919819Z digest=sha256:ddaedfeef60d79255cf91677c120b342e873bdb2ef209ef078dc3d6026b1073d

Observation 3d76efb7-6b3f-4e89-b565-2931caf61cca · outbound

This paper cites Studying the impact of noises in build breakage data,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models Studying the impact of noises in build breakage data,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:40.973723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:39.997781Z digest=sha256:f79981cf62e7cc0024f4e1ca2cdd2d9e8ac245c35bde641ea0370dc971efc657

Observation 6852ed0e-ddb6-42c1-9667-514b98e4aa21 · outbound

This paper cites CI/CD configuration practices in open-source Android apps: An empirical study,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models CI/CD configuration practices in open-source Android apps: An empirical study,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:40.728173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:40.125777Z digest=sha256:96eaf408c332bfb8be7ee52314a866b10ef1eef842ef4cc0e27f9711eeafc2ff

Observation 7e3e0c7f-9409-4289-9a52-ef940fe80786 · outbound

This paper cites On the usage, co-usage and migration of CI/CD tools: A qualitative analysis,.

Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models On the usage, co-usage and migration of CI/CD tools: A qualitative analysis,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:12:40.600309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:12:40.220300Z digest=sha256:c77df53cf17b9600a6f50130f3e3c23cdcabd355b33a6dbef65ee1fd4d9d09bd

Pith citing papers

No inbound Pith citation observations are available.