Paper Citation Record · LEDGER

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells

As of 22 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2507.12561.

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

pith.paper-citation-record.v1
2507.12561 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:47:57.281301Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T17:37:51.790000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:21:10.925342Z

Reference resolution

37 of 37 outbound references displayed

verified exact3
verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a685ff9-a078-4072-88b7-085351edb4bf · outbound

This paper cites Identifying refactoring opportunities in object-oriented code: A systematic literature review,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Identifying refactoring opportunities in object-oriented code: A systematic literature review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:03.914781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55b9bf20-5b03-4dd7-8871-8ab883315f0b · outbound

This paper cites Deep learning ap- proaches for bad smell detection: a systematic literature review,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Deep learning ap- proaches for bad smell detection: a systematic literature review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:03.738794Z

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Observation 2d21ce1b-0bc2-4773-bccf-f01cb1b96f5c · outbound

This paper cites Enhancing software quality with AI: A transformer-based approach for code smell detection,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Enhancing software quality with AI: A transformer-based approach for code smell detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:03.550789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1697d048-2a93-4446-bc29-a1c904a74777 · outbound

This paper cites The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring,

Reference 4

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Source-reported events for the cited work

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Observation 3810a6f2-7268-4d7e-9149-35bee13d491f · outbound

This paper cites Impact of architectural smells on software performance: an exploratory study,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Impact of architectural smells on software performance: an exploratory study,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:54.876856Z

Source-reported events for the cited work

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Observation e943ed12-8e94-4e88-8949-4441214ebfa0 · outbound

This paper cites Arcan: A tool for architectural smells detection,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Arcan: A tool for architectural smells detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:03.367145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c6f5819d-2e0a-4384-ba08-4f348ac65871 · outbound

This paper cites Architectural smells detected by tools: a catalogue proposal,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Architectural smells detected by tools: a catalogue proposal,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:03.168273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86ace3ba-55cd-4e57-9ab4-b63aa4067222 · outbound

This paper cites Machine learning techniques for code smell detection: A systematic literature review and meta-analysis,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Machine learning techniques for code smell detection: A systematic literature review and meta-analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.987779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59ef931f-3e2a-4d93-80df-e9e74bbff9e4 · outbound

This paper cites An Empirical Study on the Code Refactoring Capability of Large Language Models.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells An Empirical Study on the Code Refactoring Capability of Large Language Models

Reference 9

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Source-reported events for the cited work

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Observation 9dc269f3-1241-4155-8a11-a48b1ec10309 · outbound

This paper cites An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles

Reference 10

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Source-reported events for the cited work

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Observation ced52c1b-c6f7-4090-9b1e-e96266010586 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Codebert: A pre-trained model for programming and natural languages,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.868399Z

Source-reported events for the cited work

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Observation 52adc650-e925-4682-be6f-822f675164e5 · outbound

This paper cites A review-based comparative study of bad smell detection tools,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A review-based comparative study of bad smell detection tools,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.682080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f78fd6e-fb03-453c-ab71-ab559d76de44 · outbound

This paper cites Fowler, K.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Fowler, K

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.540708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ac541f8d-5b9e-46aa-9b8f-6828f8122644 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 14

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Source-reported events for the cited work

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Observation 22c8c24f-f10a-432f-9965-ad8c2a450932 · outbound

This paper cites Refactorscore: Evaluating refactor prone code,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Refactorscore: Evaluating refactor prone code,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.362777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8b652c2-6d32-4a40-ab76-7988c8385b58 · outbound

This paper cites Coderl: Mastering code generation through pretrained models and deep rein- forcement learning,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Coderl: Mastering code generation through pretrained models and deep rein- forcement learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.234247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb239a2c-c9ad-466e-bb37-44d1fa5da91e · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 17

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Source-reported events for the cited work

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Observation 6c1266db-b455-4686-9767-2afab2bab092 · outbound

This paper cites Examining deep learning’s capability to spot code smells: a systematic literature review,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Examining deep learning’s capability to spot code smells: a systematic literature review,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:02.071692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a531a6c-1883-40cb-88f2-09c3e6fee4f2 · outbound

This paper cites A systematic review on search-based refactoring,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A systematic review on search-based refactoring,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:01.931081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90e2c4f2-40bd-4007-bd97-8a0b207d90b4 · outbound

This paper cites A survey of search-based refactoring for software maintenance,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A survey of search-based refactoring for software maintenance,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:01.751800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 658e4dac-7b59-4b72-8c3c-a51f4a3bd6ea · outbound

This paper cites A systematic mapping study on architectural smells detection,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A systematic mapping study on architectural smells detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:01.493312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 08ac7a12-39dc-4074-b1ac-83579f6173e6 · outbound

This paper cites Deep learning-based code refactoring: A review of current knowledge,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Deep learning-based code refactoring: A review of current knowledge,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:01.333156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d06caab-b328-40b6-808e-06c29129c647 · outbound

This paper cites Mining commit messages to enhance software refactorings recommendation: A machine learning approach,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Mining commit messages to enhance software refactorings recommendation: A machine learning approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:01.102262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c6258e4c-cc62-473c-91f6-a43177d4d795 · outbound

This paper cites Multi-objective software architecture refactoring driven by quality attributes,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Multi-objective software architecture refactoring driven by quality attributes,

Reference 24

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Observation e37c9203-7fa5-4074-96f3-a5ed25c4154d · outbound

This paper cites A review of code smell mining techniques,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A review of code smell mining techniques,

Reference 25

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Source-reported events for the cited work

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Observation efc86482-c0b0-4d3b-8ab0-b8655b1ea663 · outbound

This paper cites A systematic review on the code smell effect,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A systematic review on the code smell effect,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:00.891839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84584188-f83d-4231-80f6-8b3ce49f062e · outbound

This paper cites On the evolution and impact of architectural smells—an industrial case study,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells On the evolution and impact of architectural smells—an industrial case study,

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T16:47:57.684258Z

Source-reported events for the cited work

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Observation c02fd522-1430-41b0-ac9b-02753c5509f6 · outbound

This paper cites Designite: A software design quality assessment tool,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Designite: A software design quality assessment tool,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:00.672719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5b8e9c2-07da-45cf-b34e-985e8c65ffa4 · outbound

This paper cites A systematic literature review: Refactoring for disclosing code smells in object oriented software,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A systematic literature review: Refactoring for disclosing code smells in object oriented software,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:00.445190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fa69104-5330-4cff-8772-75e0865d06fd · outbound

This paper cites Attention is all you need,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Attention is all you need,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:00.111787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6756e25c-ce71-4e14-8a3b-6b91af282662 · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 31

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Source-reported events for the cited work

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Observation f30aa922-1de5-4260-962b-e82ed8f78311 · outbound

This paper cites Promises and perils of using transformer-based models for se research,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Promises and perils of using transformer-based models for se research,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7abf717e-b66f-4fd5-9a24-95638f16e6c6 · outbound

This paper cites A systematic literature review on the code smells datasets and validation mechanisms,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells A systematic literature review on the code smells datasets and validation mechanisms,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:59.449687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c03c3719-88d9-433d-989d-6ad8bdbfe601 · outbound

This paper cites Code smell detection re- search based on pre-training and stacking models,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Code smell detection re- search based on pre-training and stacking models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:59.138758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e439b6e8-5814-4715-9eab-8a8414c3f83a · outbound

This paper cites Code bad smells: A review of current knowledge,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Code bad smells: A review of current knowledge,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:58.823824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc6e8f54-12f9-4c58-b552-88acf01b576a · outbound

This paper cites Code smell detection based on supervised learning models: A survey,.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Code smell detection based on supervised learning models: A survey,

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:47:57.995911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 738d99ea-923b-4812-94af-6c4d54a8e4ce · outbound

This paper cites Available: http://dx.doi.org/10.1145/3596908.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells Available: http://dx.doi.org/10.1145/3596908

Reference 2023

Resolution: verified exact; doi, observed 2026-08-06T16:47:57.460244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 46d148b1-9117-468b-840b-450ab0c5634e · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.927141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.