Paper Citation Record · LEDGER

Rethinking Training Data for Generating Code Review Comments

As of 17 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.25851.

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

pith.paper-citation-record.v1
2607.25851 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:20:08.849626Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2a71c2c-7108-4706-bab7-5550625f472e · outbound

This paper cites Towards automating code review activities,.

Rethinking Training Data for Generating Code Review Comments Towards automating code review activities,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.804846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b93c23-8e3e-4e7a-a567-ec1038133022 · outbound

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

Rethinking Training Data for Generating Code Review Comments Autotransform: automated code transformation to support modern code review process,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.808556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a61154-bc46-4a44-9fb4-703ff179a055 · outbound

This paper cites Commentfinder: a simpler, faster, more accurate code review comments recommendation,.

Rethinking Training Data for Generating Code Review Comments Commentfinder: a simpler, faster, more accurate code review comments recommendation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.815002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb4a626-8ff6-41e5-86fe-5aa6328414f5 · outbound

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

Rethinking Training Data for Generating Code Review Comments Auger: automatically generating review comments with pre-training models,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.818120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ef35c1-fa56-4892-94f6-81ba9e5706a0 · outbound

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

Rethinking Training Data for Generating Code Review Comments Code review automation: Strengths and weaknesses of the state of the art,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.821124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7e2db7-7782-430a-b7f4-ba19a3d60e6d · outbound

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

Rethinking Training Data for Generating Code Review Comments Improving automated code reviews: Learning from experience,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.824805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 162cd076-2f0b-4b5d-b47c-86aa9a859a0f · outbound

This paper cites Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation ,.

Rethinking Training Data for Generating Code Review Comments Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation ,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.827584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfcf3f95-72c0-4bc1-b989-042491ddf7ee · outbound

This paper cites A systematic literature review and taxonomy of modern code review,.

Rethinking Training Data for Generating Code Review Comments A systematic literature review and taxonomy of modern code review,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.830530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e885f7c-2863-438a-a61c-23247d13b8dc · outbound

This paper cites Automating Code Review: A Systematic Literature Review.

Rethinking Training Data for Generating Code Review Comments Automating Code Review: A Systematic Literature Review

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.833950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370822b4-6373-4df2-9edd-0e54a12c49cb · outbound

This paper cites Fine-tuning large language models to improve accuracy and comprehensibility of automated code review,.

Rethinking Training Data for Generating Code Review Comments Fine-tuning large language models to improve accuracy and comprehensibility of automated code review,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.837149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c8b42a-8de8-430d-a8f6-452620908bb8 · outbound

This paper cites LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning.

Rethinking Training Data for Generating Code Review Comments LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.840636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04383244-63c1-4ee3-9f3d-56ab375a5075 · outbound

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

Rethinking Training Data for Generating Code Review Comments Exploring the potential of chatgpt in automated code refinement: An empirical study,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.844229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f49fe43-048b-4971-931d-4c8fb99560ee · outbound

This paper cites Less is more: On the importance of data quality for unit test generation,.

Rethinking Training Data for Generating Code Review Comments Less is more: On the importance of data quality for unit test generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:20:08.846714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab292bc-b315-4cb6-aec3-6a6ebe1e6283 · outbound

This paper cites Replication package.

Rethinking Training Data for Generating Code Review Comments Replication package

Reference 15

Resolution: verified exact; doi, observed 2026-08-01T01:21:36.084736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.