Paper Citation Record · LEDGER

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.16167.

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

pith.paper-citation-record.v1
2503.16167 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:29.461653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:42:17.522587Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f783172-ae83-40f5-88c7-ff51dfa864c0 · inbound

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review cites this paper.

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:29.461653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4d1240-f2a3-4d7c-9a85-0c010a1cfc78 · inbound

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework cites this paper.

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:42:17.525695Z

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 3c789224-a2f1-4be4-8ed7-9e057f65809f · inbound

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework cites this paper.

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T00:13:16.011282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3207b236-aad5-4766-bacb-555b40d1111b · inbound

Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation cites this paper.

Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:38.034140Z

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.