Paper Citation Record · LEDGER

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.10330.

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

pith.paper-citation-record.v1
2506.10330 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:35:42.295047Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy17
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9db97235-0370-412b-8814-37f8de908ba9 · outbound

This paper cites Large Language Models Meet NLP: A Survey.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Large Language Models Meet NLP: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.184289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916e32f7-6973-4034-956b-07850ee4fbb3 · outbound

This paper cites Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.188087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad345cf-7186-4dfd-9512-4c50d1d42985 · outbound

This paper cites An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.191122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae194cb5-0a58-40ce-8ec4-50547e171ca4 · outbound

This paper cites Sorald: Automatic patch suggestions for sonarqube static analysis violations,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Sorald: Automatic patch suggestions for sonarqube static analysis violations,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.692382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5238c05-6ae6-46ab-8299-72a6f1ab0d41 · outbound

This paper cites Gpt-3.5 turbo,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Gpt-3.5 turbo,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.684123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a962491-752e-47d1-9d8d-532bb1d43e06 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements LLaMA: Open and Efficient Foundation Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.200786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c28b31-4609-414e-b736-fd17a2425f31 · outbound

This paper cites Enhancing text classification through llm-driven active learning and human annotation,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Enhancing text classification through llm-driven active learning and human annotation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.674773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d83d301d-ad92-4965-8f2d-97a6f8eb473b · outbound

This paper cites LLM Agents can Autonomously Exploit One-day Vulnerabilities.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements LLM Agents can Autonomously Exploit One-day Vulnerabilities

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.207078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5095f48b-78db-402c-9785-5572b3ead29e · outbound

This paper cites LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.210307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9dd4b1-3243-4829-8f6f-d0f052bfe519 · outbound

This paper cites Would static analysis tools help developers with code reviews?.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Would static analysis tools help developers with code reviews?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.664799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89e6b6d0-b97d-4b30-a7ae-75bf433d69f9 · outbound

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

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements A systematic literature review and taxonomy of modern code review,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.656254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7583fe6-a0fe-4c81-a843-eb2e4c65311c · outbound

This paper cites Combining static analysis and dynamic symbolic execution in a toolchain to detect fault injection vulnerabilities,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Combining static analysis and dynamic symbolic execution in a toolchain to detect fault injection vulnerabilities,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.647243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ec9af33-d00e-4715-9343-7a51ae292fa9 · outbound

This paper cites Software bug report detection methods based on machine learning techniques,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Software bug report detection methods based on machine learning techniques,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.638477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a3c2278-cae3-4087-9d34-694446735c89 · outbound

This paper cites Methods for the prevention, detection and removal of software security vulnerabilities,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Methods for the prevention, detection and removal of software security vulnerabilities,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.629652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c81110b-4450-4037-ac9f-8a5682d14019 · outbound

This paper cites A quantitative analysis of quality and consistency in ai-generated code,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements A quantitative analysis of quality and consistency in ai-generated code,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.230932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7634e647-6cbc-479f-863b-11144b1feda3 · outbound

This paper cites Language models are unsupervised multitask learners,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Language models are unsupervised multitask learners,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.233953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4919b2f1-f665-4eb4-a617-a717a6c86ddc · outbound

This paper cites How does code readability change during software evolution?.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements How does code readability change during software evolution?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.609353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5c811ac-247e-433b-9e17-18cab15bb9b0 · outbound

This paper cites Exploring the Capabilities of LLMs for Code Change Related Tasks.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Exploring the Capabilities of LLMs for Code Change Related Tasks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:35:42.452944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68fe4451-1240-4366-9fb6-9dceedb520bf · outbound

This paper cites Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.242871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542b339c-db34-4a87-9f65-24e9c65e5daa · outbound

This paper cites Review of large vision models and visual prompt engineering,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Review of large vision models and visual prompt engineering,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.600639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d7b2933-8d8f-4bf2-978e-861038cb11ab · outbound

This paper cites Prompt engineering with chatgpt: a guide for academic writers,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Prompt engineering with chatgpt: a guide for academic writers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.591655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd8e4fde-9720-417e-a80f-67a248e31055 · outbound

This paper cites Code search is all you need? improving code suggestions with code search,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Code search is all you need? improving code suggestions with code search,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.252131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 668f0589-6891-4605-b7f7-b9b1cd54873e · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.255185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4437d77-12a6-414c-aa09-05ff715522f1 · outbound

This paper cites VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.258008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d89d84-310c-48ac-9945-085bf7a7d40c · outbound

This paper cites Improving real-time knowledge retrieval in large language models with a dns-style hierarchical query rag,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Improving real-time knowledge retrieval in large language models with a dns-style hierarchical query rag,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.577639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed5e80c3-baa2-42a1-b18f-981bf253dbcd · outbound

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

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements What makes a code review useful to opendev developers? an empirical investigation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.263317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86686f0d-199d-46b1-9c2f-0bd91fe77b3c · outbound

This paper cites Ai-powered code review with llms: Early results,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Ai-powered code review with llms: Early results,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.265869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e8fd3d-9402-4d59-9997-198b84d36465 · outbound

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

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Llama-reviewer: Advancing code review automation with large language models through parameter- efficient fine-tuning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.268431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81f7c2d-d62f-4931-b042-0886a89d9fc6 · outbound

This paper cites Learning from Few Examples: A Summary of Approaches to Few-Shot Learning.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.271661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71147039-2940-4f9e-b48f-2df43ace263e · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.274538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9a24f0-c225-486e-a682-c586e0a0d8b0 · outbound

This paper cites A three-step design pattern for specializing llms,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements A three-step design pattern for specializing llms,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.551058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e585ed1-f6d4-43f1-90a4-8f5148fd2d7b · outbound

This paper cites Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.283632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d68641-177f-4e85-bf09-be68a04faa66 · outbound

This paper cites an unresolved cited work.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:35:42.533460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76ddee23-71cf-49b0-bcbd-d63cbba05f12 · outbound

This paper cites Sonarqube,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Sonarqube,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.524555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcc7879b-591b-4e3f-a404-f6028d6af16c · outbound

This paper cites Team Eagle Inc.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Team Eagle Inc

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.516038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation caf0ec49-633a-41c1-b10c-0179664a003a · outbound

This paper cites Gpt-4 turbo and gpt-4o,.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Gpt-4 turbo and gpt-4o,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.507218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66c237b3-e2ea-457e-9709-1d3892131ed0 · outbound

This paper cites Available: https://cloud.google.com/blog/products/ ai-machine-learning/three-step-design-pattern-for-specializing-llms.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Available: https://cloud.google.com/blog/products/ ai-machine-learning/three-step-design-pattern-for-specializing-llms

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.542183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.