Paper Citation Record · LEDGER

CodeJudge: Evaluating Code Generation with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.02184.

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

pith.paper-citation-record.v1
2410.02184 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:50:50.627403Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:33:18.351723Z

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 eccc0eee-4acb-46da-bf1f-d88002ce1be3 · inbound

Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights cites this paper.

Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights CodeJudge: Evaluating Code Generation with Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T13:38:21.633711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fffbd3d3-0e42-4286-b61d-df14f6face8f · inbound

Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge cites this paper.

Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge CodeJudge: Evaluating Code Generation with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:50:50.627403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ac46b0-20b6-4df8-954f-b7a22e8fb6c9 · inbound

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation cites this paper.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation CodeJudge: Evaluating Code Generation with Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:08.269551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31c68b0-1d1c-4ae7-9254-938acc54e847 · inbound

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation cites this paper.

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation CodeJudge: Evaluating Code Generation with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:26.249510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02084f4a-0f73-458f-a9c5-d6565fd1facc · inbound

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy cites this paper.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy CodeJudge: Evaluating Code Generation with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.412504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993294e3-f724-4824-9305-34f4c5531b9c · inbound

Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis cites this paper.

Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis CodeJudge: Evaluating Code Generation with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:33.177676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5684bfc-50b1-436c-bc04-6f42c4ab0d8b · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering CodeJudge: Evaluating Code Generation with Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.893783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99dd246e-57ef-45d8-b199-ff87eda4e38a · inbound

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection cites this paper.

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection CodeJudge: Evaluating Code Generation with Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:12.918674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e32c244-ca40-4063-aa2f-1210f4329423 · inbound

Learning Bug Context for PyTorch-to-JAX Translation with LLMs cites this paper.

Learning Bug Context for PyTorch-to-JAX Translation with LLMs CodeJudge: Evaluating Code Generation with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:27:35.142542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a579457-f3c7-4005-8dd2-e542a2a1b0ba · inbound

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering cites this paper.

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering CodeJudge: Evaluating Code Generation with Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.299021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf8e60b2-5bb8-45e7-aad0-d68353fa3b8c · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code CodeJudge: Evaluating Code Generation with Large Language Models

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.923396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed1ecbac-7bed-4c14-bac5-d51876a639ff · inbound

An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges cites this paper.

An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges CodeJudge: Evaluating Code Generation with Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:33:18.354032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ecaec7ad-eab9-4870-bfb7-b8ac3a5232ec · inbound

SEDCoT: Enhancing LLM-Based COBOL Code Translation via Symbolic Execution and Delta Debugging cites this paper.

SEDCoT: Enhancing LLM-Based COBOL Code Translation via Symbolic Execution and Delta Debugging CodeJudge: Evaluating Code Generation with Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-11T21:45:42.517559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.