PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization | Paper Citation Record

Observation f6c34ad8-df81-40c2-b64d-b55acc2fc4f5 · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization SWE-bench: Can language models resolve real-world github issues?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.072783Z

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Observation 105c5810-9d41-4a04-ab72-78a97e5b3c59 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.126791Z

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Observation 28836b6a-3074-408f-940f-15fa06f06d67 · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.168206Z

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Observation 24c9f1d9-433d-49ea-8f64-4cf4ed7f5410 · outbound

This paper cites Gso: Challenging software optimization tasks for evaluating swe-agents,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Gso: Challenging software optimization tasks for evaluating swe-agents,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.221143Z

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Observation b384acdd-f412-4df9-add6-3fde745442fb · outbound

This paper cites SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.276803Z

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Observation 798e872c-26d4-48c9-b1b1-4217e4a3fbda · outbound

This paper cites SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.338249Z

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Observation e5aaa147-c130-4f92-a3eb-d2290115d10a · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.397801Z

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Observation f09a3b38-f1bd-46d5-b0c5-aecce179516c · outbound

This paper cites Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.469372Z

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Observation 1a017603-4bea-4490-bcb2-70a5f1f91df4 · outbound

This paper cites Resolving java code repository issues with iswe agent,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Resolving java code repository issues with iswe agent,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.520099Z

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Observation 11a32643-d918-483c-8c4e-ce7b2b734064 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.632491Z

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Observation 4cfd8416-e302-4652-b385-aed2cd3f8e95 · outbound

This paper cites Codex CLI: Lightweight coding agent that runs in your terminal,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Codex CLI: Lightweight coding agent that runs in your terminal,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.682749Z

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Observation a838cb6d-2f9e-4de9-bd19-c404838432a4 · outbound

This paper cites Sampling profiler for Python programs,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Sampling profiler for Python programs,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.751234Z

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Observation ca2f73a2-dc9a-48cc-940c-2b9f910b326f · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Reflexion: Language agents with verbal reinforcement learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.812735Z

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Observation c8e22196-4bc2-4278-9f60-1b05194a2d88 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Self-refine: Iterative refinement with self-feedback,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.873673Z

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Observation 3169ae9e-325b-48fb-846d-214aed89d4ec · outbound

This paper cites GPT-5.1: A smarter, more conversational ChatGPT,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization GPT-5.1: A smarter, more conversational ChatGPT,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.030488Z

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Observation 6f6e2c27-84f4-4ea4-811f-f00cd9a3e80d · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Kimi K2: Open Agentic Intelligence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.098344Z

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Observation b4374a8c-da89-4736-a298-bc20cd0ce09d · outbound

This paper cites Kimi-K2-Instruct,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Kimi-K2-Instruct,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.177567Z

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Observation 291316dc-80c0-4e11-bd05-0b2a211587c7 · outbound

This paper cites Kimi-K2-Instruct-0905,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Kimi-K2-Instruct-0905,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.259534Z

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Observation a18acbbc-ec9a-4a32-9b28-49b80f9adda4 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Evaluating Large Language Models Trained on Code

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.316771Z

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Observation 9a2f339d-2014-4cf3-9b48-0d4307a48241 · outbound

This paper cites Program Synthesis with Large Language Models.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Program Synthesis with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.371157Z

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Observation 5bdac3ca-6f24-4fb4-bd65-a67739184e67 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.448831Z

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Observation 5ec4a4ed-614e-45ce-b287-45738d798b37 · outbound

This paper cites LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.486710Z

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Observation bf1e0d29-ab62-4a7e-827d-3a364967983a · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.558455Z

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Observation b71ffaf4-a3a4-484c-a664-37928b1876f7 · outbound

This paper cites Evaluating Language Models for Efficient Code Generation.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Evaluating Language Models for Efficient Code Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.662932Z

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Observation b8c845c9-f24f-4599-b8a6-1c1f9fbc794e · outbound

This paper cites Effibench: Benchmarking the efficiency of automatically generated code,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Effibench: Benchmarking the efficiency of automatically generated code,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.795839Z

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Observation 621966d7-c4e2-4289-87be-cad9352bda1c · outbound

This paper cites How efficient is llm-generated code? a rigorous & high-standard benchmark,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization How efficient is llm-generated code? a rigorous & high-standard benchmark,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.188763Z

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Observation e33e3709-a468-4d9b-aab7-056a897c2867 · outbound

This paper cites Can large language models write parallel code?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Can large language models write parallel code?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.521457Z

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Observation 0c6d037f-6bcf-437d-a818-260d4415cb87 · outbound

This paper cites Algotune: Can language models speed up general-purpose numerical programs?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Algotune: Can language models speed up general-purpose numerical programs?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.761375Z

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Observation dc08a5d8-febb-479b-8552-e0942ab127bd · outbound

This paper cites Kernelbench: Can llms write efficient gpu kernels?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Kernelbench: Can llms write efficient gpu kernels?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.932871Z

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Observation 40d11d73-0714-4c4e-808d-fc7a50f7cc5f · outbound

This paper cites How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.345502Z

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Observation 3be96a45-41ea-49ad-a795-6ee4ae8161f0 · outbound

This paper cites Tritonbench: Benchmarking large language model capabilities for generating triton operators,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Tritonbench: Benchmarking large language model capabilities for generating triton operators,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:00.448789Z

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Observation 4b84ee69-01d3-4f18-80bd-265abf912f29 · outbound

This paper cites SWE-bench Goes Live!.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization SWE-bench Goes Live!

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:00.670740Z

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Observation 0771c617-c171-4be0-b73f-be30ad72887c · outbound

This paper cites Deepswe: Measuring frontier coding agents on original, long-horizon engineering tasks,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Deepswe: Measuring frontier coding agents on original, long-horizon engineering tasks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:00.841486Z

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Observation 0a210c92-3add-4b81-a4a3-bfdcf11cbd78 · outbound

This paper cites KernelBench: Can LLMs Write Efficient GPU Kernels?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:00.143616Z

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Observation 5ace5d46-7865-44c5-af54-1643b25610cd · outbound

This paper cites Multikernelbench: A multi-platform benchmark for kernel generation,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Multikernelbench: A multi-platform benchmark for kernel generation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:00.318502Z

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Observation 59b9a7d6-0137-45f4-81a7-40993e4f6f74 · outbound

This paper cites Frontierswe,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Frontierswe,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.363513Z

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Observation c08d0cd7-94ae-4fc4-b02c-4df345914a8a · outbound

This paper cites TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:00.522023Z

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Observation b16e2cd0-02fa-4307-a904-309e84d3f383 · outbound

This paper cites Learning Performance-Improving Code Edits.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Learning Performance-Improving Code Edits

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.589724Z

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Observation 83fc099e-06d2-484e-89d9-323f34e0485d · outbound

This paper cites Lessons learned: A multi-agent framework for code llms to learn and improve,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Lessons learned: A multi-agent framework for code llms to learn and improve,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.678820Z

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Observation c8c087a0-e253-4302-9c79-2fe6ae7acfdb · outbound

This paper cites Introducing FrontierCode,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Introducing FrontierCode,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.020502Z

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Observation b83b7f6f-68a8-4d7d-afd2-bda795aafdd3 · outbound

This paper cites ProgramBench: Can Language Models Rebuild Programs From Scratch?.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization ProgramBench: Can Language Models Rebuild Programs From Scratch?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.189446Z

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Observation 3be47f2f-4b51-4cf6-b293-f81e911a2bbf · outbound

This paper cites KernelFalcon: Deep agent architecture for au- tonomous GPU kernel generation,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization KernelFalcon: Deep agent architecture for au- tonomous GPU kernel generation,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.166875Z

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Observation 64cb5d4c-73c7-4ca1-a59b-15c6765d0421 · outbound

This paper cites Search-Based LLMs for Code Optimization.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Search-Based LLMs for Code Optimization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.491897Z

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Observation 575ce2ae-1606-4174-997d-040a9e14d5aa · outbound

This paper cites Cudaforge: An agent framework with hardware feedback for cuda kernel optimization,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Cudaforge: An agent framework with hardware feedback for cuda kernel optimization,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.385970Z

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Observation 5bee6b48-1aca-43d6-970b-f9fd6eac9a26 · outbound

This paper cites Peak: A performance engineering ai-assistant for gpu kernels powered by natural language transformations,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Peak: A performance engineering ai-assistant for gpu kernels powered by natural language transformations,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.576069Z

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Observation bf00f7de-0c56-41cb-b62e-72610053c68f · outbound

This paper cites Stark: Strategic team of agents for refining kernels,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Stark: Strategic team of agents for refining kernels,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.841418Z

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Observation 27cbd1c9-7d4e-47ae-9823-af6ca3fdfa98 · outbound

This paper cites Available: https://arxiv.org/abs/2510.16996.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Available: https://arxiv.org/abs/2510.16996

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:01.881950Z

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Observation 44040612-d89b-4100-bda0-2a057762912a · outbound

This paper cites Astra: A multi-agent system for gpu kernel performance optimization,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Astra: A multi-agent system for gpu kernel performance optimization,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.001847Z

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Observation 6c8b6126-4461-4b9a-b5b1-cff63b5f5f80 · outbound

This paper cites Pragma: A profiling-reasoned multi-agent framework for automatic kernel optimization,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Pragma: A profiling-reasoned multi-agent framework for automatic kernel optimization,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.403785Z

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Observation 2ee9ee6b-fffa-4ecf-8da2-532fc7994d90 · outbound

This paper cites Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.273939Z

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Observation 14074ca6-ec0d-4b29-86cf-d6807faf1f72 · outbound

This paper cites Tritonforge: Profiling-guided framework for automated triton kernel optimization,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Tritonforge: Profiling-guided framework for automated triton kernel optimization,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.622122Z

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Observation b1568f75-d090-41d4-be9f-fc28a0a57df6 · outbound

This paper cites Peace: Towards efficient project-level efficiency optimization via hybrid code editing,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Peace: Towards efficient project-level efficiency optimization via hybrid code editing,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.715699Z

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Observation 1ae84b71-0390-4e70-9c43-f779e4359ebd · outbound

This paper cites AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.761306Z

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Observation 48574054-66d0-4ab2-bf93-aa82fa462c78 · outbound

This paper cites Autocomp: A powerful and portable code optimizer for tensor accelerators,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Autocomp: A powerful and portable code optimizer for tensor accelerators,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:02.939071Z

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Observation 520ae92e-313a-41e3-860f-9f64d1c18814 · outbound

This paper cites Available: https://arxiv.org/abs/2505.18574.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Available: https://arxiv.org/abs/2505.18574

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.077839Z

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Observation c5a6ef3c-2ce4-4bdb-b4ad-92ab48091ca5 · outbound

This paper cites POLO: An LLM-powered project-level code performance optimization framework,.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization POLO: An LLM-powered project-level code performance optimization framework,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.285955Z

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Observation 1f8e85fa-1fe2-4018-bfda-0ce553d0ceea · outbound

This paper cites ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.521150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b460d45-9197-4809-99e7-f0b846fe6b39 · outbound

This paper cites Donot make changes to any other files as they will not count towards your submission.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Donot make changes to any other files as they will not count towards your submission

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.847499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea4a0cf-f6ef-4ed2-8b38-5b6f44ca56ae · outbound

This paper cites an unresolved cited work.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.995619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c225f08-27eb-4ea7-9c43-d6f662e91b79 · outbound

This paper cites Make general performance improvements for the usage scenario shown.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Make general performance improvements for the usage scenario shown

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.074416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b84068-5032-404d-a9db-16055ffdf4b2 · outbound

This paper cites Some rebuilds may take time to run, so be patient.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Some rebuilds may take time to run, so be patient

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.210220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a5496b-e469-4d8e-a201-84f485730fd0 · outbound

This paper cites Carefully read the issue and think critically about what is required.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Carefully read the issue and think critically about what is required

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.356884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b3eb2e-60e8-4001-80c4-fc5f51a1f699 · outbound

This paper cites Explore relevant files, search for key functions, and gather context.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Explore relevant files, search for key functions, and gather context

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.518816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa57ada2-1cd0-42ef-bf9d-230e0430b41d · outbound

This paper cites Break down the fix into manageable, incremental steps.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Break down the fix into manageable, incremental steps

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.580812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba886424-5f9f-43d1-b595-f7b4f8a7de79 · outbound

This paper cites Make small, testable code changes while ensuring the repository is functionally equiv- alent to the original.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Make small, testable code changes while ensuring the repository is functionally equiv- alent to the original

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.701199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f20346ae-24c4-41ba-a007-4b6b411083d6 · outbound

This paper cites Use debugging techniques to isolate and resolve issues.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Use debugging techniques to isolate and resolve issues

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.780914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e27c7f8-d546-453a-9b91-c2baa1addd13 · outbound

This paper cites Run tests after each change to verify correctness.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Run tests after each change to verify correctness

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.853237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a38602-9f15-44b1-901b-8265e482408c · outbound

This paper cites an unresolved cited work.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.890913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d99e7ec-c711-4691-b35e-fa7242fc7b56 · outbound

This paper cites Find if there are any additional bottlenecks in your solution and resolve them.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Find if there are any additional bottlenecks in your solution and resolve them

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:04.992151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849b6ad1-4db6-4718-baa3-476edc432c39 · outbound

This paper cites After tests pass, write additional tests to ensure correctness, and remember there are hidden tests that must also pass before the solution is truly complete.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization After tests pass, write additional tests to ensure correctness, and remember there are hidden tests that must also pass before the solution is truly complete

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.058569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d1e960b-fed6-4641-9707-476ce064dbbc · outbound

This paper cites an unresolved cited work.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.141328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a986b3ee-270d-4cd6-af41-f326126a378f · outbound

This paper cites • Search for key functions, classes, or variables related to the issue.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • Search for key functions, classes, or variables related to the issue

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.264135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f04df2d2-9628-4d52-8691-041d60625cb5 · outbound

This paper cites • Break down the fix into small, incremental changes.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • Break down the fix into small, incremental changes

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.337128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d76277f-7aa5-4cd2-b327-36400e287a91 · outbound

This paper cites • If a patch is not applied correctly, attempt to reapply it.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • If a patch is not applied correctly, attempt to reapply it

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.432264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d86a89c-782e-4d71-a55e-670249d16d93 · outbound

This paper cites • When debugging, try to determine the root cause rather than addressing symptoms.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • When debugging, try to determine the root cause rather than addressing symptoms

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.526751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b840500c-468d-45ee-9d72-72fe4655179b · outbound

This paper cites • After each change, verify correctness by run- ning relevant tests.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • After each change, verify correctness by run- ning relevant tests

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.613706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e249c272-91c3-4a66-8c47-7807c06f32ba · outbound

This paper cites • Review your solution for logic correctness and robustness.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • Review your solution for logic correctness and robustness

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.705055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c83cba81-b61e-447b-b2d6-c7e5a356a1e4 · outbound

This paper cites • Continue iterating on the test script (if needed) to test the performance of your changes on various inputs.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization • Continue iterating on the test script (if needed) to test the performance of your changes on various inputs

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.798682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f9b6a9-a6da-47a1-850f-ffad852213d8 · outbound

This paper cites an unresolved cited work.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.874841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a64aa56-835f-4166-98c1-0b2325a60ff5 · outbound

This paper cites Critical Requirements • Your response SHOULD include reasoning text explaining what you’re doing.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Critical Requirements • Your response SHOULD include reasoning text explaining what you’re doing

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:05.970305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59efee3-2fa7-40ec-8169-ba985499e26a · outbound

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

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Self-Refine: Iterative Refinement with Self-Feedback

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.959346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba54c07-e27b-4c0a-b522-a74890e9c46a · outbound

This paper cites EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization EffiBench: Benchmarking the Efficiency of Automatically Generated Code

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.021000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c941051-2443-4eb8-a2a9-32bf0a12baba · outbound

This paper cites Available: https://arxiv.org/abs/2603.11356.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Available: https://arxiv.org/abs/2603.11356

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:57.580370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers