Paper Citation Record · LEDGER

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.02757.

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

pith.paper-citation-record.v1
2502.02757 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:20:06.598412Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:19.534722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:04:19.711820Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy46
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9982eb9-2ea6-4f99-9959-0a61da27c26e · outbound

This paper cites Expectations, outcomes, and challenges of modern code review,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Expectations, outcomes, and challenges of modern code review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.142669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 292a64fe-c050-4904-8d0d-4af675012257 · outbound

This paper cites Convergent contemporary software peer review practices,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Convergent contemporary software peer review practices,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.134105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 970cc895-419d-48d6-bcbe-cf7e55ea188f · outbound

This paper cites Process aspects and social dynamics of contempo- rary code review: Insights from open source development and industrial practice at microsoft,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Process aspects and social dynamics of contempo- rary code review: Insights from open source development and industrial practice at microsoft,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.124637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12b5d3c4-af1a-492f-a7f5-37105f8c6f06 · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Using pre-trained mod- els to boost code review automation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.114345Z

Source-reported events for the cited work

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Observation 5cae1e57-85f8-4937-ad3c-e29bab545918 · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Automating code review activities by large-scale pre-training,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.104310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e33ca5d-0308-482a-b710-e5765fbd8d65 · outbound

This paper cites Cct5: A code-change-oriented pre-trained model,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Cct5: A code-change-oriented pre-trained model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.094168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfb16176-73f7-43b1-8579-dc18034b0dff · outbound

This paper cites Code review quality: How developers see it,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Code review quality: How developers see it,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.084736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e61a820e-ade6-403c-a411-a507b003654f · outbound

This paper cites Improving automated code reviews: Learning from experience,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Improving automated code reviews: Learning from experience,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.074229Z

Source-reported events for the cited work

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Observation 2bce9198-403c-4403-942b-f9200575c32d · outbound

This paper cites Communicative intention in code review questions,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Communicative intention in code review questions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.063478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9f14d3f-95c5-4b11-be1b-036decaa72ba · outbound

This paper cites Towards automating code review activities,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Towards automating code review activities,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.053858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 906eac0d-a7c3-4e52-8d2d-895f012a83ce · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Code review automation: Strengths and weaknesses of the state of the art,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.044383Z

Source-reported events for the cited work

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Observation eb88a631-264f-45c7-bfe3-9f9e4176d9ce · outbound

This paper cites Characteristics of useful code reviews: An empirical study at microsoft,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Characteristics of useful code reviews: An empirical study at microsoft,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.034433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cac21a0b-fdfb-42d3-b6b4-56276e59223b · outbound

This paper cites An empirical study of the impact of modern code review practices on software quality,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation An empirical study of the impact of modern code review practices on software quality,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.013504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f7f6d86-688d-4988-adcb-ee2e589adad9 · outbound

This paper cites An exploratory study on confusion in code reviews,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation An exploratory study on confusion in code reviews,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.003685Z

Source-reported events for the cited work

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Observation 95e4511b-fabb-405a-b1df-b5bf57da6f6b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Evaluating Large Language Models Trained on Code

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:06.472510Z

Source-reported events for the cited work

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Observation 2591b19d-3d82-4f99-b568-55fecdbcc589 · outbound

This paper cites Measuring massive multitask language understanding,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Measuring massive multitask language understanding,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.993929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a1ad05b-93f8-456d-b077-a4e9b4367e0f · outbound

This paper cites Chatgpt out- performs crowd workers for text-annotation tasks,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Chatgpt out- performs crowd workers for text-annotation tasks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.983305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50bf2f60-d839-4e38-8398-e91f550638bb · outbound

This paper cites Is GPT-3 a good data annotator?.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Is GPT-3 a good data annotator?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.972894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aca309f4-9a1c-4c9f-aa90-19e0954712ca · outbound

This paper cites CodeT5: Identifier-aware unified pre-trained encoder- decoder models for code understanding and generation,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation CodeT5: Identifier-aware unified pre-trained encoder- decoder models for code understanding and generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.962973Z

Source-reported events for the cited work

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Observation b07db5c6-5fdf-4c7e-85b0-598bcd21e699 · outbound

This paper cites Partitioning composite code changes to facilitate code review,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Partitioning composite code changes to facilitate code review,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.952660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58b3391c-51f5-49c7-8f08-945c669f6c5e · outbound

This paper cites Associating working memory capacity and code change ordering with code review performance,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Associating working memory capacity and code change ordering with code review performance,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.942522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb7af9eb-415f-4cdb-a56c-9edaa26d6082 · outbound

This paper cites On learning meaningful code changes via neural machine translation,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation On learning meaningful code changes via neural machine translation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.932256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d854eafd-c629-44cd-99e0-209f23fedf2b · outbound

This paper cites Autotransform: Automated code transformation to support modern code review process,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Autotransform: Automated code transformation to support modern code review process,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.922532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76decba6-65d2-49dc-a8b5-5d587ecf718f · outbound

This paper cites D-act: Towards diff-aware code transfor- mation for code review under a time-wise evaluation,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation D-act: Towards diff-aware code transfor- mation for code review under a time-wise evaluation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.912791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6687325b-7ba5-4a7d-9197-28a2bfd34041 · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Exploring the limits of transfer learning with a unified text-to- text transformer,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.902471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9c78446-5664-41bf-87a5-9c1ef2294e4d · outbound

This paper cites Improving the learning of code review successive tasks with cross-task knowl- edge distillation,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Improving the learning of code review successive tasks with cross-task knowl- edge distillation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.892576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6300f8c-066f-41c9-80de-06042a83aa7a · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Llama-reviewer: Advancing code review automation with large language models through parameter-efficient fine-tuning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.882796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9cee57fa-9932-47e5-984e-ecccd19b2ae4 · outbound

This paper cites AI-Assisted Assessment of Coding Practices in Modern Code Review.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation AI-Assisted Assessment of Coding Practices in Modern Code Review

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:06.510427Z

Source-reported events for the cited work

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Observation e80b6f02-393a-43ba-8914-5f9851db744b · outbound

This paper cites Resolving code review comments with machine learning,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Resolving code review comments with machine learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.873302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9372e1f2-3cd4-47e0-b599-874297249088 · outbound

This paper cites Intelligent code reviews using deep learning,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Intelligent code reviews using deep learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.864158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a501e20-117f-46a5-b3f6-4443406811ec · outbound

This paper cites What makes a code review useful to opendev developers? an empirical investiga- tion,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation What makes a code review useful to opendev developers? an empirical investiga- tion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:07.024266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9b23b57-30d2-4fcd-b403-484f94da9c9e · outbound

This paper cites A dataset for identifying actionable feedback in collab- orative software development,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation A dataset for identifying actionable feedback in collab- orative software development,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.854492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70fd5dca-d82c-4546-9d9e-767cc5d2b077 · outbound

This paper cites Predicting usefulness of code review comments using textual fea- tures and developer experience,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Predicting usefulness of code review comments using textual fea- tures and developer experience,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.845325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1133413e-4125-435e-b3e9-1949653ff71f · outbound

This paper cites What types of defects are really discovered in code reviews?.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation What types of defects are really discovered in code reviews?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.835813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2d65a5a-a65a-4599-bfb5-27ea1a6312f1 · outbound

This paper cites Large language models meet NL2Code: A survey,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Large language models meet NL2Code: A survey,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.825727Z

Source-reported events for the cited work

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Observation 8fa7cae6-956a-4278-aeb3-5ccd1f7d484d · outbound

This paper cites Replication package,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Replication package,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.816142Z

Source-reported events for the cited work

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Observation 1ab77bfe-51c2-43e7-964a-6319a0f35688 · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Code Llama: Open Foundation Models for Code

Reference 38

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Source-reported events for the cited work

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Observation 4cdc8baa-48a0-4f3e-802b-a9a32dedc7d8 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Introducing meta llama 3: The most capable openly available llm to date,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.805809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5bb4ed0-c361-4bd3-8712-9a3f66a3c9f5 · outbound

This paper cites A survey of large language models for code: Evolution, benchmarking, and future trends,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation A survey of large language models for code: Evolution, benchmarking, and future trends,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.793921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84b16059-7a70-460f-b49b-2996543938f2 · outbound

This paper cites Exploring the potential of chatgpt in auto- mated code refinement: An empirical study,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Exploring the potential of chatgpt in auto- mated code refinement: An empirical study,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.783497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d511f0d-ef94-4f1d-8c0d-fcbbf24d2e88 · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:06.556468Z

Source-reported events for the cited work

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Observation d569c985-bfc1-47f9-8ca9-38c099fe313b · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:06.560292Z

Source-reported events for the cited work

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Observation cacaf955-f1ca-4a64-8758-b949f728bf5c · outbound

This paper cites gpt-best-practices,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation gpt-best-practices,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.772807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ccabbf4-9cee-4f33-acbd-01d429d01d32 · outbound

This paper cites Prompt-enhanced software vulnerability detection using chatgpt,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Prompt-enhanced software vulnerability detection using chatgpt,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.762800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ede40c9-0386-4b0b-a703-5632ca6270c9 · outbound

This paper cites Security code review by large language models,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Security code review by large language models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.752875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26d8421a-00cd-4113-a593-fb8c2bf6de55 · outbound

This paper cites Lost in the middle: How language models use long contexts,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Lost in the middle: How language models use long contexts,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:06.574219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0230fef5-4f1c-4e7f-98ec-c4883b890884 · outbound

This paper cites Auger: automatically generating review comments with pre-training models,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Auger: automatically generating review comments with pre-training models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.736113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d03156e-5a51-43d7-b120-b35282815860 · outbound

This paper cites Ex- ploring the capabilities of llms for code change related tasks,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Ex- ploring the capabilities of llms for code change related tasks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.724324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35801436-46d7-4326-a437-3ec0d0997e24 · outbound

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

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Bleu: a method for automatic evaluation of machine translation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.712833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a117cca-2153-4a92-979f-54d90b6bb7d7 · outbound

This paper cites A human study of comprehension and code summarization,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation A human study of comprehension and code summarization,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.703485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b08b06e4-3419-40e2-88a7-1be531b9ac17 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:06.591106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdabf6fc-3a32-4509-b2fe-80c14738ce82 · outbound

This paper cites CodeT5+: Open code large language models for code understanding and generation,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation CodeT5+: Open code large language models for code understanding and generation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.693448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fbeb4bc8-4772-497d-b722-5b018e335d4d · outbound

This paper cites Exploring the space of topic coherence measures,.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation Exploring the space of topic coherence measures,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:20:06.683252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 8f9f1c03-b67c-481b-9d52-a432f3016b54 · inbound

On The Impact of Merge Request Deviations on Code Review Practices cites this paper.

On The Impact of Merge Request Deviations on Code Review Practices Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:04:19.716751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.