CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks | Paper Citation Record

Observation 30f325f6-cc28-4135-a186-cf1af96e15a0 · inbound

Show Your Work: Scratchpads for Intermediate Computation with Language Models cites this paper.

Show Your Work: Scratchpads for Intermediate Computation with Language Models CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 13

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Self-Refine: Iterative Refinement with Self-Feedback cites this paper.

Self-Refine: Iterative Refinement with Self-Feedback CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:47:39.730099Z

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TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment cites this paper.

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:55:48.966803Z

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Observation 38d12603-7d58-4eef-b6d8-a1b436fc1f86 · inbound

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension cites this paper.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 23

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Observation c61c5024-108c-4727-8652-5531b28d343c · inbound

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? cites this paper.

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T07:35:28.738906Z

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Observation 130320ed-e243-4b56-9dc3-4706618db8b9 · inbound

Scalable, Validated Code Translation of Entire Projects using Large Language Models cites this paper.

Scalable, Validated Code Translation of Entire Projects using Large Language Models CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 41

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Observation 61cfb803-cdb0-4a59-be66-dd83041c8d26 · inbound

NESA: Relational Neuro-Symbolic Static Program Analysis cites this paper.

NESA: Relational Neuro-Symbolic Static Program Analysis CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:05:29.301816Z

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Observation a22584b6-2b45-4015-9e28-523f574d8deb · inbound

ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback cites this paper.

ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 23

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Observation b0c8c3aa-c7aa-497d-80eb-f6d149da204c · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 107

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Observation f2b26859-57a6-4093-8c15-bba62602bf29 · inbound

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation cites this paper.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.730680Z

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Observation 9704be8e-a1b3-46e0-8640-b35db7eb76fd · inbound

Large Language Models for Code Generation: The Practitioners Perspective cites this paper.

Large Language Models for Code Generation: The Practitioners Perspective CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 28

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Observation 3a9d9a5d-7f23-4ee4-b7d6-2ab5eb969c1a · inbound

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign cites this paper.

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 15

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Observation 4aa3962f-77c8-459c-9021-671fe128649b · inbound

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models cites this paper.

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 2021

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Observation edcee237-f039-4ac4-810e-20473e4a3e27 · inbound

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs cites this paper.

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 15

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Observation 05c163d7-bb06-42ef-8fd4-c67b57817752 · inbound

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution cites this paper.

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:58.403730Z

Source-reported events for the cited work

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Observation e862d132-882d-43b1-a159-fd054b9b3944 · inbound

A Systematic Literature Review on Neural Code Translation cites this paper.

A Systematic Literature Review on Neural Code Translation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 66

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Observation 98f29e9a-b1db-41a6-b637-0c594991766a · inbound

SafeTrans: LLM-assisted Transpilation from C to Rust cites this paper.

SafeTrans: LLM-assisted Transpilation from C to Rust CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:14:55.693085Z

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Observation 545294a5-5926-460a-b977-543dba9b152a · inbound

Effective Reinforcement Learning for Reasoning in Language Models cites this paper.

Effective Reinforcement Learning for Reasoning in Language Models CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 25

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Observation ae16e50d-31b2-4120-8267-a4dd2e9e13b5 · inbound

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models cites this paper.

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:12.898245Z

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Observation 64ea5bea-2216-4fbe-9964-28a107331d51 · inbound

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor cites this paper.

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:49.234945Z

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Observation 8306e28d-1520-4bcb-bd5a-ecb8da4799cd · inbound

SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation cites this paper.

SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:06.206749Z

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Observation 87701567-495c-4a58-8c48-66140a8f323f · inbound

Fine-Tuning Code Language Models to Detect Cross-Language Bugs cites this paper.

Fine-Tuning Code Language Models to Detect Cross-Language Bugs CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:42:56.386670Z

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.

Observation 4e9eb9be-c4bf-4961-adc9-8a16cbc817ce · inbound

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation cites this paper.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:43.866985Z

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Observation ba7dd0ab-84bf-4a17-aa1f-6d8cea1b20bc · inbound

RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation cites this paper.

RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:08:47.184938Z

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Observation 5f0e690e-cca5-4e97-a08b-bf4eae831a26 · inbound

Using Contrastive Learning to Improve Two-Way Reasoning in Large Language Models: The Obfuscation Task as a Case Study cites this paper.

Using Contrastive Learning to Improve Two-Way Reasoning in Large Language Models: The Obfuscation Task as a Case Study CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 21

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Observation 6f1209e0-5fc0-48fe-bdd8-0e871e3d3286 · inbound

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis cites this paper.

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 2021

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Observation 9f7fa8a2-dd35-40ac-91f7-ccf77f69f5be · inbound

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization cites this paper.

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T07:34:21.965021Z

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Observation d6857c63-1da0-4752-99cf-3373d4b575e2 · inbound

FormulaCode: Evaluating Agentic Optimization on Large Codebases cites this paper.

FormulaCode: Evaluating Agentic Optimization on Large Codebases CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 1

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

Observation 09bdaa5b-1cf5-4ea0-80e0-22396c87c428 · inbound

FormulaCode: Evaluating Agentic Optimization on Large Codebases cites this paper.

FormulaCode: Evaluating Agentic Optimization on Large Codebases CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 2021

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Observation accbae56-7d76-4492-9898-9e57dbc9acb7 · inbound

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code cites this paper.

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.174419Z

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.

Observation ab886d88-dc80-4cdd-8dd4-c325080fe92d · inbound

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation cites this paper.

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:35:59.882422Z

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.

Observation 9ab6bb23-6ee1-438c-8906-5a0bd7d702f1 · inbound

LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning cites this paper.

LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:08:25.909484Z

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.

Observation 9e22aaa1-4b61-4d60-84e7-57307ad97e6b · inbound

CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora cites this paper.

CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:29:25.258877Z

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.

Observation 0c7cf307-a79c-4e5c-bea4-d9435a34dc84 · inbound

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection cites this paper.

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:56:11.904449Z

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.

Observation 16c03a61-6776-4474-aa88-64d4adddb17f · inbound

Large Language Models for Multilingual Code Intelligence: A Survey cites this paper.

Large Language Models for Multilingual Code Intelligence: A Survey CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:26:14.996029Z

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.

Observation 0d9e5cd8-2a07-4d30-89c3-a20e5b02c071 · inbound

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation cites this paper.

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:15:38.548333Z

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.

Observation 393eec17-14b7-45d8-9a51-52ee05a41846 · inbound

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation cites this paper.

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:40:56.432400Z

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.

Observation 7f1502a5-a632-4701-a41d-8315f7c8f9c5 · inbound

Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection cites this paper.

Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:55:41.612222Z

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.

Observation 6dd8909f-fcad-401a-a679-89b9a4e20a44 · inbound

MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification cites this paper.

MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:29.162410Z

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.

Observation 9d886232-6b14-4d43-8cc7-1bb5731f95a6 · inbound

MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification cites this paper.

MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:37:29.796912Z

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.

Observation be1d473d-2487-415e-9220-4ee5f7ff0f51 · inbound

Neural Code Translation of Legacy Code: APL to C# cites this paper.

Neural Code Translation of Legacy Code: APL to C# CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:29:48.469827Z

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.

Observation 4580c50f-ac35-4610-a5b4-f2da44468a42 · inbound

Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning cites this paper.

Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:03:24.449578Z

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.

Observation 96c26a82-e573-4528-b31f-a78dcb7b2a31 · inbound

Shortcut to Nowhere: Demystifying Deep Spurious Regression cites this paper.

Shortcut to Nowhere: Demystifying Deep Spurious Regression CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:15.999267Z

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.

Observation 8d17e11b-b7db-4389-a5e6-ba2df5f7bc0e · inbound

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation cites this paper.

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.219750Z

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.

Observation da34d799-8076-4502-9d94-f3f5d4134193 · inbound

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs cites this paper.

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:17:29.738263Z

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.

Observation 584772c4-d408-4286-9d84-4b743142230b · inbound

Acoda: Adversarial Code Obfuscation for Defending against LLM-based Analysis cites this paper.

Acoda: Adversarial Code Obfuscation for Defending against LLM-based Analysis CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:38:05.399341Z

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.

Observation d45e8cd6-2a53-4000-91d1-757dfede5ccb · inbound

Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation cites this paper.

Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:08:57.933397Z

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.

Observation 361d19de-d24a-45c0-b053-c1297e100eef · inbound

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code cites this paper.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T06:57:16.033336Z

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Unavailable: canonical work link unavailable.

Observation bfbe432a-64fd-4eea-9d1c-394f552817ed · inbound

Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning cites this paper.

Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T17:00:48.664985Z

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Unavailable: canonical work link unavailable.

Observation f5e54805-e90a-4520-917e-9e61c5e5633b · inbound

Multi-Channel Spread-Spectrum Code Watermarking cites this paper.

Multi-Channel Spread-Spectrum Code Watermarking CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.116645Z

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.

Observation 639f633b-2faa-4d57-9117-6e49f63e1713 · inbound

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation cites this paper.

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-10T19:57:34.121221Z

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.

Observation 8e63649d-b190-410d-b442-88ff72b0974f · inbound

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training cites this paper.

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T18:57:44.474289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba13fcb-5933-4335-a468-e3db0bae8f9c · inbound

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation cites this paper.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-15T15:35:43.918189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d3111d-5bb6-4933-819d-b7b4d4d3b1b6 · inbound

Training-Free Token-Level Steering for LLM Personalized Co-Writing cites this paper.

Training-Free Token-Level Steering for LLM Personalized Co-Writing CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:21.727074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers