Paper Citation Record · LEDGER

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 3 inbound Pith citation observations for arXiv:2502.02368.

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

pith.paper-citation-record.v1
2502.02368 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:26:08.339272Z

measured 52 of 52 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:49:07.865706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:37:27.550995Z

Reference resolution

49 of 49 outbound references displayed

verified exact1
verified fuzzy45
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77552d95-28b8-4ea4-a15d-79158ace2ca3 · outbound

This paper cites A systematic re- view of software maintainability prediction and metrics,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects A systematic re- view of software maintainability prediction and metrics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.923586Z

Source-reported events for the cited work

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Observation 4eb3c36e-6a7d-4fec-bc4a-1f90e2eeed31 · outbound

This paper cites An exploratory evaluation of code smell agglomerations,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects An exploratory evaluation of code smell agglomerations,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.911788Z

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 775e39bd-e0b7-47bb-b6ed-9e05a23823d0 · outbound

This paper cites Defin- ing a software maintainability dataset: collecting, ag- gregating and analysing expert evaluations of software maintainability,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Defin- ing a software maintainability dataset: collecting, ag- gregating and analysing expert evaluations of software maintainability,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.900412Z

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 0355dee9-2ada-4cf6-b1a9-53386e4aaf1e · outbound

This paper cites Fowler, Refactoring: improving the design of existing code.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Fowler, Refactoring: improving the design of existing code

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.889173Z

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 59a5a186-ddf8-42dc-a168-2fbf5bdacc67 · outbound

This paper cites Tuning code smell prediction models: A replication study,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Tuning code smell prediction models: A replication study,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.875882Z

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 cc32ee4b-df2c-4ca5-b818-1232a1344727 · outbound

This paper cites Impact of code smell agglomerations on code stability,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Impact of code smell agglomerations on code stability,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.864412Z

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 d242bb92-97ab-46f9-b27c-7766fcd79be8 · outbound

This paper cites How readable is model-generated code? examining readability and visual inspection of github copilot,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects How readable is model-generated code? examining readability and visual inspection of github copilot,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.853633Z

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 7e804448-e3fb-491d-a2dd-de622a0b345f · outbound

This paper cites Are prompt engineering and todo comments friends or foes? an evaluation on github copilot,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Are prompt engineering and todo comments friends or foes? an evaluation on github copilot,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.841349Z

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 44d4c73d-85b2-4cb5-8e5d-c42d2fca4e0e · outbound

This paper cites On the robust- ness of code generation techniques: An empirical study on github copilot,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects On the robust- ness of code generation techniques: An empirical study on github copilot,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.830728Z

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 a7b2cecd-48ef-4c1a-9aaf-86cb19cc93e8 · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s code contributions,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Asleep at the keyboard? assessing the security of github copilot’s code contributions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.820345Z

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 25a00343-4526-412e-89b1-30aca5a431c2 · outbound

This paper cites Automatic code documen- tation generation using gpt-3,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Automatic code documen- tation generation using gpt-3,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.809514Z

Source-reported events for the cited work

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Observation aef3ed0b-58e9-4a8e-abd5-26acbcef0c75 · outbound

This paper cites Instructcoder: Instruction tuning large language models for code editing,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Instructcoder: Instruction tuning large language models for code editing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.798831Z

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 9cea4bd0-dde2-4b9d-8b0e-307996faa5e5 · outbound

This paper cites Using pre-trained mod- els to boost code review automation,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Using pre-trained mod- els to boost code review automation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.788105Z

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 de62c472-4460-459e-9c94-a0c2abf5cd31 · outbound

This paper cites Github copilot ai pair programmer: Asset or liability?.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Github copilot ai pair programmer: Asset or liability?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.777576Z

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 299bc88a-3b35-4e8e-96d7-ef76c46576a7 · outbound

This paper cites Assessing the readability of chatgpt code snippet recommendations: A comparative study,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Assessing the readability of chatgpt code snippet recommendations: A comparative study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.767279Z

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 c50348b8-894e-4542-b76c-9c5c1c524027 · outbound

This paper cites No need to lift a finger anymore? assessing the quality of code generation by chatgpt,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects No need to lift a finger anymore? assessing the quality of code generation by chatgpt,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.756605Z

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 b14667f1-abb4-4e72-b4f6-57ccea958a1c · outbound

This paper cites Using an llm to help with code understand- ing,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Using an llm to help with code understand- ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.746086Z

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 43076570-edef-422a-8a9c-5b5e0e076eb5 · outbound

This paper cites Iterative refactoring of real-world open-source programs with large language models,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Iterative refactoring of real-world open-source programs with large language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.735519Z

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 ab9fd139-1c69-4d72-9705-7085ee1bd8a3 · outbound

This paper cites Survey of halluci- nation in natural language generation,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Survey of halluci- nation in natural language generation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.724387Z

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 77e257ce-1d1d-407c-b6cc-ccff46958809 · outbound

This paper cites Is github’s copilot as bad as humans at introducing vulnerabilities in code?.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Is github’s copilot as bad as humans at introducing vulnerabilities in code?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.712600Z

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 0ffb934b-02cd-4df5-a2a5-5d3e62989445 · outbound

This paper cites An empirical evaluation of github copilot’s code suggestions,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects An empirical evaluation of github copilot’s code suggestions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.700665Z

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 b5315b0f-cc9d-406c-8ca3-3e3cfcd71aa7 · outbound

This paper cites Software vulnerability and functionality assessment using llms,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Software vulnerability and functionality assessment using llms,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.688440Z

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 6803593e-55c1-41e1-acad-b3af960d0f9f · outbound

This paper cites On the effectiveness of large language models in statement-level code summarization,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects On the effectiveness of large language models in statement-level code summarization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.676399Z

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 82dc9dc1-8e68-4289-9246-8885cb47c6cf · outbound

This paper cites Em-assist: Safe automated extractmethod refactoring with llms,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Em-assist: Safe automated extractmethod refactoring with llms,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.664006Z

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 790cbc06-066c-4e06-bae2-a4df46c2c4b9 · outbound

This paper cites Refactoring programs using large lan- guage models with few-shot examples,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Refactoring programs using large lan- guage models with few-shot examples,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.652206Z

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 e71a4627-b9fa-41d7-898a-d280352f1dac · outbound

This paper cites What is a code smell?.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects What is a code smell?

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.640667Z

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 f9792ed1-c77d-4f3b-9da0-d926ee331a24 · outbound

This paper cites Coderujb: An executable and unified java benchmark for practical programming scenarios,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Coderujb: An executable and unified java benchmark for practical programming scenarios,

Reference 27

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Observation 90ee7d5d-75d5-48e0-a937-f74f1852a947 · outbound

This paper cites A language model of java methods with train/test deduplication,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects A language model of java methods with train/test deduplication,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.621951Z

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

Observation f77c101f-d68c-45d7-9bbb-8e7130813c24 · outbound

This paper cites The top programming languages,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects The top programming languages,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.610784Z

Source-reported events for the cited work

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Observation 915fb2fe-0201-4f84-9869-0a5e9aaad9cd · outbound

This paper cites Auto- matic building of java projects in software repositories: A study on feasibility and challenges,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Auto- matic building of java projects in software repositories: A study on feasibility and challenges,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.600427Z

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 2eaef6a8-8e13-4ee1-aeb6-4a3eeca8681e · outbound

This paper cites Are static analysis violations re- ally fixed? a closer look at realistic usage of sonarqube,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Are static analysis violations re- ally fixed? a closer look at realistic usage of sonarqube,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.589581Z

Source-reported events for the cited work

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Observation a79407f9-3d18-48a4-84a5-22d23e5dd4ca · outbound

This paper cites Context is king: The developer perspective on the usage of static analysis tools,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Context is king: The developer perspective on the usage of static analysis tools,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.577902Z

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 e33773c5-8a84-4094-8ffc-18552b664a19 · outbound

This paper cites Continuous code quality: Are we (really) doing that?.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Continuous code quality: Are we (really) doing that?

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.566036Z

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 9ce34760-571c-4bfa-9d5b-7d17c32ca14f · outbound

This paper cites Generaliz- ing from a few examples: A survey on few-shot learning,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Generaliz- ing from a few examples: A survey on few-shot learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.555588Z

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 040c9f80-9db8-4922-9a64-d732b275d94b · outbound

This paper cites What makes good in-context demonstra- tions for code intelligence tasks with llms?.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects What makes good in-context demonstra- tions for code intelligence tasks with llms?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.544345Z

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 1df03979-9c03-4f73-a5e8-f14f34844f27 · outbound

This paper cites Dual anal- ysis for helping developers to find collaborators based on co-changed files: An empirical study,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Dual anal- ysis for helping developers to find collaborators based on co-changed files: An empirical study,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.532151Z

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 bf942f0d-bccd-4299-9793-c9bd8554422c · outbound

This paper cites LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T12:26:08.293870Z

Source-reported events for the cited work

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Observation 1b01f928-3a7f-486c-8e37-61b759264318 · outbound

This paper cites Refactoring practices in the context of data-intensive systems,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Refactoring practices in the context of data-intensive systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.520191Z

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 03f229ff-3daa-4d94-9f61-16988e3614d6 · outbound

This paper cites Towards recommending refactoring oper- ations based on bugs,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Towards recommending refactoring oper- ations based on bugs,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.508288Z

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 e8f58108-a601-43f5-a7b4-1398385c049d · outbound

This paper cites Chal- lenges of resolving merge conflicts: A mining and sur- vey study,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Chal- lenges of resolving merge conflicts: A mining and sur- vey study,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.496870Z

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 73794508-e3fb-46c6-b7a5-500d1f7df0aa · outbound

This paper cites Jetbrains - code refactoring,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Jetbrains - code refactoring,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.485610Z

Source-reported events for the cited work

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Observation 0c625f25-d051-4c2b-94dc-153460965d9a · outbound

This paper cites An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-09T12:26:08.389400Z

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 a94db13b-8f54-4ecd-965e-cfce909dfcce · outbound

This paper cites Improving accuracy of llm- based code clone detection u sing functionally equivalent methods,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Improving accuracy of llm- based code clone detection u sing functionally equivalent methods,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.473720Z

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 29a631d9-f446-4636-98ea-55574243aa74 · outbound

This paper cites Yet another model! a study on model’s similarities for defect and code smells,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Yet another model! a study on model’s similarities for defect and code smells,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.461532Z

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 991fe169-d549-4afd-b742-611b8cc9a8d2 · outbound

This paper cites AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects AgentFL: Scaling LLM-based Fault Localization to Project-Level Context

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T12:26:08.324442Z

Source-reported events for the cited work

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Observation ed18eebb-fc6c-42f6-8b62-4404bfbe6e4f · outbound

This paper cites Fine tuning large language model for secure code generation,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Fine tuning large language model for secure code generation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.449798Z

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 739f0b38-dcf7-4213-a7e2-e2f13681eac7 · outbound

This paper cites Large language models for test-free fault localization,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Large language models for test-free fault localization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.437967Z

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This paper cites Llmparser: An exploratory study on using large language models for log parsing,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Llmparser: An exploratory study on using large language models for log parsing,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.425894Z

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

Observation 6bec49aa-a136-4cb0-9529-d3c3d514ff7f · outbound

This paper cites Generating software tests for mobile applications using fine-tuned large language models,.

Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects Generating software tests for mobile applications using fine-tuned large language models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:26:08.413301Z

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

Pith citing papers

Observation f88be36a-4416-45ba-8b5f-bf9db798cc6c · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:37.159453Z

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Observation 02da1c6a-f6b6-4ec5-9ef6-70edad89e2c1 · inbound

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T06:49:07.865706Z

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Observation 6b8e368c-2a4b-4145-9fa1-dd4ef219ea98 · inbound

LLM vs. Human Unit Tests: Fault Detection on Real Python Bugs cites this paper.

LLM vs. Human Unit Tests: Fault Detection on Real Python Bugs Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:37:27.552567Z

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