Paper Citation Record · LEDGER

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation

As of 13 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 4 inbound Pith citation observations for arXiv:2411.10129.

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

pith.paper-citation-record.v1
2411.10129 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:00:37.591730Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:08:14.298723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:22:14.513078Z

Reference resolution

71 of 71 outbound references displayed

verified exact0
verified fuzzy29
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ea05339-3f57-4bb8-aba4-7ccb1f03a8be · outbound

This paper cites Primers or reminders? the effects of existing review comments on code review,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Primers or reminders? the effects of existing review comments on code review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.562012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3eeb175c-8e36-4524-9e84-5d15809be1d5 · outbound

This paper cites Design and code inspections to reduce errors in program de- velopment,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Design and code inspections to reduce errors in program de- velopment,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.548869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d11f95b-6e57-4804-99e7-d8af855ec048 · outbound

This paper cites Impact of peer code review on peer impression formation: A survey,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Impact of peer code review on peer impression formation: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.535527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ce43778-acca-4bdb-b0f8-63f2cebec6c3 · outbound

This paper cites Mining the modern code review repositories: A dataset of people, process and product,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Mining the modern code review repositories: A dataset of people, process and product,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.290020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c231f16-35f6-412a-9cb5-8b2bea2a4875 · outbound

This paper cites Code reviews do not find bugs. how the current code review best practice slows us down,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Code reviews do not find bugs. how the current code review best practice slows us down,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.298086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe3a384-e363-4705-97d1-4c9ea861fbb9 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.302526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4a59e8-ea9a-4dfd-9e4e-334d74491cea · outbound

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

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.307621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6035b4-42e3-4aa4-9a87-759c4c4c6862 · outbound

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

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.312386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6054842-50a8-41ff-aa2d-4ce0db175a97 · outbound

This paper cites Automating code review activities by large-scale pre-training,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Automating code review activities by large-scale pre-training,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.316746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fc1c8a-9f80-4794-9cf9-f21a025182c6 · outbound

This paper cites Using pre-trained models to boost code review automa- tion,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Using pre-trained models to boost code review automa- tion,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.321888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae71db3-a8d3-40ea-84ba-12502b57b727 · outbound

This paper cites Energy and policy con- siderations for modern deep learning research,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Energy and policy con- siderations for modern deep learning research,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.327156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca81a1b-637e-413a-b0e1-f8d2c0d55616 · outbound

This paper cites Language mod- els are few-shot learners,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Language mod- els are few-shot learners,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.333601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 176878c0-ec39-4202-9d50-e06475d2dd1a · outbound

This paper cites A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.337879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b4971a-6549-45b0-9d9c-a7cfcb05d934 · outbound

This paper cites Llama-reviewer: Advancing code review automation with large language models through parameter- efficient fine-tuning,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Llama-reviewer: Advancing code review automation with large language models through parameter- efficient fine-tuning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.342589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b344e4-29ed-45af-9d5e-7ac358d3ee96 · outbound

This paper cites Automatic semantic augmentation of language model prompts (for code summarization),.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Automatic semantic augmentation of language model prompts (for code summarization),

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.346477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4002437-087a-4a26-85c8-7bf3c73a326f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Gemini: A Family of Highly Capable Multimodal Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.350906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58911406-4de4-4709-9b33-a1bbe0bb1b13 · outbound

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

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Code Llama: Open Foundation Models for Code

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.354900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a9b4e0-e77a-4894-95f1-9b44ebcc7d87 · outbound

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

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.451480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5dd82769-7f6c-442d-8db2-53858a10225b · outbound

This paper cites Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.362873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28f1a5f-7ae6-4223-997e-99b3b1b7b98d · outbound

This paper cites Prompting is all you need: Automated an- droid bug replay with large language models,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Prompting is all you need: Automated an- droid bug replay with large language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.437141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e4d3fdf-6ac4-4a6d-907a-ca051a7876d1 · outbound

This paper cites A prompt pattern catalog to enhance prompt engineering with ChatGPT,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation A prompt pattern catalog to enhance prompt engineering with ChatGPT,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.424088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0dac820c-b94a-449f-b939-367fea0695ca · outbound

This paper cites The CoT collection: Improving zero-shot and few-shot learning of language models via chain-of-thought fine-tuning,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation The CoT collection: Improving zero-shot and few-shot learning of language models via chain-of-thought fine-tuning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.407444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d9581bd-9e78-408c-8eb7-5941a1913762 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.380427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb0ba40-3713-4098-ab7c-5aefbb88a636 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.384775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20480069-8959-4764-9d00-351c615c1260 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.389643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c3c760-3604-47cd-a4be-17393ad3f011 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Qlora: Efficient finetuning of quantized llms,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.394102Z

Source-reported events for the cited work

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Observation 7d6750ce-a1cd-4dc7-af8a-b9ca4e5551d5 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Finetuned Language Models Are Zero-Shot Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.400198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06085bdb-6c65-47c0-b300-c6f4c3cd9760 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Training language models to follow instructions with human feedback,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.405157Z

Source-reported events for the cited work

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Observation 97060801-9654-4de5-ad16-fbd9be77ecaa · outbound

This paper cites Stanford alpaca: An instruction-following llama model,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Stanford alpaca: An instruction-following llama model,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.410160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3826544-7391-43ca-914c-3375ce6b82f9 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.414441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d69bf9-1236-4046-b646-79c03c388434 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.419050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30f65ea-87e9-4370-bb88-b69ef0e05bbb · outbound

This paper cites GPT-4 Technical Report.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation GPT-4 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.424101Z

Source-reported events for the cited work

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Observation ec393e9e-136a-4ca4-8fc8-92d6eced40c1 · outbound

This paper cites What makes good in-context examples for GPT- 3?.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation What makes good in-context examples for GPT- 3?

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.364822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a12b1d2-bec1-45cf-a62e-6ff98d10ff01 · outbound

This paper cites Large language models are few-shot summarizers: Multi- intent comment generation via in-context learning,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Large language models are few-shot summarizers: Multi- intent comment generation via in-context learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.350249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a90020a6-3b73-4474-96b4-cb0b1fb2c5d2 · outbound

This paper cites What makes good in-context demonstrations for code intelligence tasks with LLMs?.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation What makes good in-context demonstrations for code intelligence tasks with LLMs?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.335280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9206d8a2-c634-49e6-9e83-64a68a0604c9 · outbound

This paper cites Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 36

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Observation ecc279c4-de27-4ddf-81d3-90651ad847fd · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 37

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Observation c2949de0-d577-47c8-b99b-f324f5001d2c · outbound

This paper cites The probabilistic relevance frame- work: Bm25 and beyond,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation The probabilistic relevance frame- work: Bm25 and beyond,

Reference 38

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Observation 2344ff0c-a4f8-4aca-bcc1-293d9fd54fc2 · outbound

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

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Bleu: a method for automatic evaluation of machine translation,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.455876Z

Source-reported events for the cited work

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Observation 0d965226-950a-40df-ad46-43b1a0827c71 · outbound

This paper cites Bertscore: Evaluating text generation with bert,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Bertscore: Evaluating text generation with bert,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.459826Z

Source-reported events for the cited work

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Observation 710529df-8303-4d3f-ad97-021049890d58 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.296613Z

Source-reported events for the cited work

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Observation e0fd58f2-ce37-4ae2-8996-b20245ca42ac · outbound

This paper cites An Empirical Study of the Non-determinism of ChatGPT in Code Generation.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.467468Z

Source-reported events for the cited work

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Observation 1169910c-5770-4bb6-a05b-24090c5b35c7 · outbound

This paper cites Automatic code review by learning the revision of source code,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Automatic code review by learning the revision of source code,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.471537Z

Source-reported events for the cited work

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Observation 973ccc4b-7291-4ed2-8eac-8ae6dbc2f148 · outbound

This paper cites Is his- torical data an appropriate benchmark for reviewer recommendation sys- tems?: A case study of the gerrit community,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Is his- torical data an appropriate benchmark for reviewer recommendation sys- tems?: A case study of the gerrit community,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.273358Z

Source-reported events for the cited work

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Observation 63df0ab5-9981-4581-a527-a5514a591ab6 · outbound

This paper cites Quality evaluation of modern code reviews through intelligent biometric program compre- hension,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Quality evaluation of modern code reviews through intelligent biometric program compre- hension,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.255193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 322f7cae-7b97-4198-b153-2ceca9235d59 · outbound

This paper cites Towards automating code review at scale,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Towards automating code review at scale,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.483672Z

Source-reported events for the cited work

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Observation 2bdc791a-edb7-4539-8ec7-0bba57e96fa8 · outbound

This paper cites Whodo: Automating reviewer suggestions at scale,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Whodo: Automating reviewer suggestions at scale,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.230830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 941c1889-76c5-4486-9244-b340abc350ce · outbound

This paper cites Expanding the number of reviewers in open-source projects by recommending appro- priate developers,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Expanding the number of reviewers in open-source projects by recommending appro- priate developers,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.212237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 401286af-e0be-4e05-b381-c38208500f59 · outbound

This paper cites Corms: a github and gerrit based hybrid code reviewer recommendation approach for modern code review,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Corms: a github and gerrit based hybrid code reviewer recommendation approach for modern code review,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.195382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e8c17e7-849c-4cd0-a807-bfafb28a6596 · outbound

This paper cites Modeling review history for reviewer recommendation: A hypergraph approach,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Modeling review history for reviewer recommendation: A hypergraph approach,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.179737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3f0bcec-cb4b-4ae5-80e9-972e0cfbdaad · outbound

This paper cites Rstrace+: Reviewer suggestion using software artifact traceability graphs,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Rstrace+: Reviewer suggestion using software artifact traceability graphs,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.160435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 336650eb-7d77-4724-8623-37d771ec54b3 · outbound

This paper cites Multi- objective code reviewer recommendations: balancing expertise, avail- ability and collaborations,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Multi- objective code reviewer recommendations: balancing expertise, avail- ability and collaborations,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.143200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 886c1188-ce92-460e-8155-b3c179489866 · outbound

This paper cites Reducing human effort and improving quality in peer code reviews using automatic static analysis and reviewer recommenda- tion,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Reducing human effort and improving quality in peer code reviews using automatic static analysis and reviewer recommenda- tion,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.513951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12834cd9-2384-4cbf-ae67-7afcf607c348 · outbound

This paper cites Towards automating code review activities,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Towards automating code review activities,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.518551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dbdb457-e7c9-467d-9969-3936021c9722 · outbound

This paper cites Vulre- pair: a t5-based automated software vulnerability repair,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Vulre- pair: a t5-based automated software vulnerability repair,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.523519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a6a872-d7eb-4692-8e0c-822a8b23c7e5 · outbound

This paper cites Autotrans- form: Automated code transformation to support modern code review process,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Autotrans- form: Automated code transformation to support modern code review process,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.528135Z

Source-reported events for the cited work

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Observation 3b2d3ae1-38f7-4569-b92f-7249ae941e8a · outbound

This paper cites Intelligent code reviews using deep learning,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Intelligent code reviews using deep learning,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.532196Z

Source-reported events for the cited work

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Observation 16d932a7-f348-40da-8670-ffacb6e9ac17 · outbound

This paper cites CORE: Automating review recommendation for code changes,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation CORE: Automating review recommendation for code changes,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.070570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7bb09771-11ab-4e02-8f63-20434da91406 · outbound

This paper cites AUGER: Automatically GEnerating review comments with pre-training models,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation AUGER: Automatically GEnerating review comments with pre-training models,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.054963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a05680bd-b394-4910-87bf-d4b45d4ba9dc · outbound

This paper cites Com- mentFinder: a simpler, faster, more accurate code review comments recommendation,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Com- mentFinder: a simpler, faster, more accurate code review comments recommendation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.040435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3834c873-ac52-4b06-9897-b634ba769976 · outbound

This paper cites D- ACT: Towards diff-aware code transformation for code review under a time-wise evaluation,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation D- ACT: Towards diff-aware code transformation for code review under a time-wise evaluation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.026301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3aeb7ff2-b1ca-4d46-aeda-5af5fc8511d3 · outbound

This paper cites BART: Denoising sequence-to- sequence pre-training for natural language generation, translation, and comprehension,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation BART: Denoising sequence-to- sequence pre-training for natural language generation, translation, and comprehension,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:38.011025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a0c59f1-d356-4592-9ccc-e142f1bc6c10 · outbound

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

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.558017Z

Source-reported events for the cited work

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Observation 200a9f16-404d-4c54-92eb-4a18b41d0e9f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Evaluating Large Language Models Trained on Code

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.561909Z

Source-reported events for the cited work

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Observation 53ec6275-10e9-4ec8-8f42-2d7a1bf0eb04 · outbound

This paper cites Unified pre- training for program understanding and generation,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Unified pre- training for program understanding and generation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:37.997838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63a65eb5-f0db-4d13-9224-1a2846c867c7 · outbound

This paper cites StarCoder: may the source be with you!.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation StarCoder: may the source be with you!

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.570022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78da5e58-7583-4a54-9ce3-b23f7d60ee06 · outbound

This paper cites Magicoder: Empow- ering code generation with OSS-Instruct,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Magicoder: Empow- ering code generation with OSS-Instruct,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:37.983186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c079a038-1217-4896-9941-660993a77107 · outbound

This paper cites Automatic code documentation generation using GPT-3,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Automatic code documentation generation using GPT-3,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.578274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5669360-8d37-4e93-95a6-b330718f7e6e · outbound

This paper cites Exploring the potential of ChatGPT in automated code refinement: An empirical study,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Exploring the potential of ChatGPT in automated code refinement: An empirical study,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:37.959752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 70d1d943-cc02-4b77-a08d-6f40a9c32352 · outbound

This paper cites Few-shot training LLMs for project-specific code-summarization,.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Few-shot training LLMs for project-specific code-summarization,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:37.944764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 006f60df-01ef-4753-8283-79ced431abb2 · outbound

This paper cites Automatic semantic augmentation of language model prompts (for code summarization),.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Automatic semantic augmentation of language model prompts (for code summarization),

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:00:37.928142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation dd9476a4-8e8c-4aef-87d4-2373f7042b7f · inbound

BitsAI-CR: Automated Code Review via LLM in Practice cites this paper.

BitsAI-CR: Automated Code Review via LLM in Practice Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:40:07.119593Z

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Unavailable: canonical work link unavailable.

Observation 38197c12-81b9-4a14-8d38-6f899ff55161 · inbound

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation cites this paper.

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:22:14.514523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f223ac49-eb59-483f-a659-a48866d021e4 · inbound

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality cites this paper.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:06.023310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2813700-deb6-4ff7-9084-c511a047a1e6 · inbound

OpenCodeReview: Determinism over Non-Determinism for Cost-Effective Agent-Based Code Review cites this paper.

OpenCodeReview: Determinism over Non-Determinism for Cost-Effective Agent-Based Code Review Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T20:08:14.298723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.