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Paper Citation Record · LEDGER

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.24762.

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

pith.paper-citation-record.v1
2607.24762 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:30:32.026111Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

43 of 43 outbound references displayed

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Outbound references

Observation 1971731f-9819-49a5-9d68-e18cae51aae1 · outbound

This paper cites Efficient processing of deep neural networks: A tutorial and survey,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Efficient processing of deep neural networks: A tutorial and survey,

Reference 1

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Observation 25925247-bfd9-4f71-9fcc-0ae754836ca7 · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels In-datacenter performance analysis of a tensor processing unit,

Reference 2

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source=pdf_text observed=2026-08-02T12:30:26.321349Z digest=sha256:e80ca04bd24a88049dab2cd1ba2e30b7a4f473839a56ba726ddab29d420f6b2b

Observation 8f6ff40f-c41e-42ba-b3db-daef252ba32a · outbound

This paper cites A systematic characterization of LLM inference on GPUs,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels A systematic characterization of LLM inference on GPUs,

Reference 3

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source=pdf_text observed=2026-08-02T12:30:26.464343Z digest=sha256:c96d0ed8f0f387f972ff782e6dfaafb23c2c2a20c16bd7d637cc0d8636c2e95f

Observation 1f88046d-bd44-410c-b9e8-366468ef7862 · outbound

This paper cites Triton: An intermediate language and compiler for tiled neural network computations,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Triton: An intermediate language and compiler for tiled neural network computations,

Reference 4

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source=pdf_text observed=2026-08-02T12:30:26.606355Z digest=sha256:ed6660230a32e69a19d07f1153f0a6c98d9b915c65c4b79d61ffa40039e0b994

Observation a7dec49e-6593-424e-b528-9b37879f9239 · outbound

This paper cites FlashAttention: Fast and memory-efficient exact attention with IO-awareness,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels FlashAttention: Fast and memory-efficient exact attention with IO-awareness,

Reference 5

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source=pdf_text observed=2026-08-02T12:30:26.776342Z digest=sha256:95d205b3a1e3a2f1f677b226cd58af9e7065b0b67bcf790665ff55998c229bdb

Observation 15a5c079-575a-4971-9bb1-0ae777476a47 · outbound

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

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Autocomp: A powerful and portable code optimizer for tensor accelerators,

Reference 6

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source=pdf_text observed=2026-08-02T12:30:26.916959Z digest=sha256:cbecb3f2220514f41da331fa66884904812f2b7a5b4e279393f0126a09eaaf19

Observation 6a424d0a-ac69-4f2d-9e89-e7c6f562f746 · outbound

This paper cites Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

Reference 7

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source=pdf_text observed=2026-08-02T12:30:27.102520Z digest=sha256:4383fd8ed4bf25682d542fd91bd45f6d0532b4060ada038362f1260d774735cc

Observation 7acecd29-b2f7-4157-84bb-80508cd4c738 · outbound

This paper cites KernelBench: Can LLMs write efficient GPU kernels?.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels KernelBench: Can LLMs write efficient GPU kernels?

Reference 8

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source=pdf_text observed=2026-08-02T12:30:27.269678Z digest=sha256:ef6569f129757d6dc50b062bae8b0df458bf2bbe8918e7b8db67facff9149ddd

Observation ebf936cc-483d-4676-a6c9-198a92e5bff9 · outbound

This paper cites KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

Reference 9

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source=pdf_text observed=2026-08-02T12:30:27.349032Z digest=sha256:a025d77bdad46de09dd45f7ae417a0716d408c2d5addc6627a7b1028e5834d05

Observation cf8a3bc0-b548-4ab6-a1ce-11250e5c3b1c · outbound

This paper cites TritonBench: Benchmarking large language model capabilities for generating Triton operators,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels TritonBench: Benchmarking large language model capabilities for generating Triton operators,

Reference 10

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source=pdf_text observed=2026-08-02T12:30:27.467840Z digest=sha256:fbf03245472db76203752bef5af47f5f1483a7752e16a40d3050cbdfebaaee32

Observation ee1d5d5f-ffef-448f-ba1b-f08fa11edc70 · outbound

This paper cites MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation

Reference 11

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source=pdf_text observed=2026-08-02T12:30:27.620409Z digest=sha256:d65fa380051e35ad0ad44a77bde22bd6f4742063ecbd9c084d074e6d7cda317a

Observation 3e4ec3f7-dd9f-4493-8e70-bb36463823a5 · outbound

This paper cites CUDABench: Benchmarking LLMs for text-to-CUDA generation,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels CUDABench: Benchmarking LLMs for text-to-CUDA generation,

Reference 12

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source=pdf_text observed=2026-08-02T12:30:27.759973Z digest=sha256:917de2083f12d719879c2416d6f37f57cc6d211840d8220bb4f45a496197db41

Observation 69e3f430-ff49-4f17-b5fa-381b2505f563 · outbound

This paper cites BackendBench: An evaluation suite for testing how well LLMs and humans can write PyTorch backends,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels BackendBench: An evaluation suite for testing how well LLMs and humans can write PyTorch backends,

Reference 13

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source=pdf_text observed=2026-08-02T12:30:27.914125Z digest=sha256:36279ffeae0f81efdf9745f6b60885e8843a2a24495b2be164937e83347a63ba

Observation ac666df2-100b-4f17-85ff-b6bada40bcdd · outbound

This paper cites FlashInfer- Bench: Building the virtuous cycle for AI-driven LLM systems,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels FlashInfer- Bench: Building the virtuous cycle for AI-driven LLM systems,

Reference 14

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source=pdf_text observed=2026-08-02T12:30:28.074757Z digest=sha256:d573d3912371dce3c4c3c02986b275af74706c4ec6657924e2b0ad5a1ddc1f1b

Observation 5a3d9507-9764-4c7b-8de6-db46453091de · outbound

This paper cites CudaForge: An agent framework with hardware feedback for CUDA kernel optimization,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels CudaForge: An agent framework with hardware feedback for CUDA kernel optimization,

Reference 15

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source=pdf_text observed=2026-08-02T12:30:28.230400Z digest=sha256:45adbba6ce0dd3eba6b954bbdea922a6ef238708dfe13ba24edf8833c8e48584

Observation 4d0106e1-eee0-4b52-b862-7efe271f87e9 · outbound

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

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Astra: A multi-agent system for GPU kernel performance optimization,

Reference 16

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source=pdf_text observed=2026-08-02T12:30:28.429142Z digest=sha256:aa27cf094515f4813feb755fcf58b97fb21a6ad4ac2c91b9ced22493b958565c

Observation aac71d27-5e89-449f-8141-48457486147d · outbound

This paper cites Towards robust agentic CUDA kernel benchmarking, verification, and optimization,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Towards robust agentic CUDA kernel benchmarking, verification, and optimization,

Reference 17

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source=pdf_text observed=2026-08-02T12:30:28.664212Z digest=sha256:356421130d25e996bf233252cf741bd3a486e1b2b2cb74a531a393b3a6c11b3c

Observation fe5c0d64-fea4-4f74-8e62-feac4f59f4eb · outbound

This paper cites KernelAgent: Multi-agent GPU kernel synthesis and optimization,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels KernelAgent: Multi-agent GPU kernel synthesis and optimization,

Reference 18

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source=pdf_text observed=2026-08-02T12:30:28.844946Z digest=sha256:817eba79816be4d687808ddd4263dd38cd17e4bea2cedf26eb7d740c1a17e918

Observation 0ab9e2cb-02dd-42ab-8e22-1d56bed21f32 · outbound

This paper cites Complete anytime beam search,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Complete anytime beam search,

Reference 19

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source=pdf_text observed=2026-08-02T12:30:29.054222Z digest=sha256:d94136ae60e92af347ebfca0ec5b29e8694541ad67be9f5620d80a820ce96d80

Observation 2048d913-47f0-4260-a38a-f78686939b10 · outbound

This paper cites Bandit based Monte-Carlo planning,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Bandit based Monte-Carlo planning,

Reference 20

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source=pdf_text observed=2026-08-02T12:30:29.198605Z digest=sha256:c859bfb117100235e0defcf745af0a390f67a6e41ea70595c6d8379c8b120161

Observation e2ad9d42-aa80-443c-96ed-3d5a88a17e51 · outbound

This paper cites Deep residual learning for image recognition,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Deep residual learning for image recognition,

Reference 21

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source=pdf_text observed=2026-08-02T12:30:29.351224Z digest=sha256:e30ba231dc0800497637f16d422b9ab0d5f0284a560b6fd3b2f64063fe30be11

Observation 011e335f-1c45-452f-8c61-007d0a3eb00e · outbound

This paper cites Stable diffusion 3.5 medium model card,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Stable diffusion 3.5 medium model card,

Reference 22

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source=pdf_text observed=2026-08-02T12:30:29.480014Z digest=sha256:cec9b856a39faa0b67c0faa9bbedf8d8b1ee742ec9dfa47b81b740deeda8b959

Observation 4017e7e9-ff10-478a-9d07-2d1bca640a3d · outbound

This paper cites google/gemma-4-E2B-it model card,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels google/gemma-4-E2B-it model card,

Reference 23

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Observation 6d253fc1-25e5-470c-9124-7871f2c466a5 · outbound

This paper cites Qwen/Qwen3.5-35B-A3B model card,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Qwen/Qwen3.5-35B-A3B model card,

Reference 24

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source=pdf_text observed=2026-08-02T12:30:29.773982Z digest=sha256:86abd1920c9743ada1e0730bcbd401e71d0d3caa93005fcac8f224d878a67088

Observation 609c88c6-3c38-4e72-9a5a-366e94dc4271 · outbound

This paper cites DGX Spark user guide: Hardware overview,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels DGX Spark user guide: Hardware overview,

Reference 25

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Observation 6a393e69-32a8-42b0-a8ce-719a6f99849d · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels PyTorch: An imperative style, high-performance deep learning library,

Reference 26

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Observation 5f81cf21-94c3-4506-b1ea-468383c6dd30 · outbound

This paper cites CUDA programming guide,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels CUDA programming guide,

Reference 27

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source=pdf_text observed=2026-08-02T12:30:30.262483Z digest=sha256:8dd348255963ed7323e35f6db752b6ece6258f9dcea1eb9d436b1f469ccdf8e8

Observation d5a7e942-9b8c-4e34-b1b7-3bb10392d673 · outbound

This paper cites CUDA C++ best practices guide,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels CUDA C++ best practices guide,

Reference 28

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source=pdf_text observed=2026-08-02T12:30:30.467461Z digest=sha256:ba284d52f032b6ed717748fec466482c64d5c0972cc57cd96a15f5b71b3ca014

Observation 892d299e-27b6-4fa5-99b7-d48e9eae8511 · outbound

This paper cites Tvm: an automated end-to-end optimizing compiler for deep learning,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Tvm: an automated end-to-end optimizing compiler for deep learning,

Reference 29

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source=pdf_text observed=2026-08-02T12:30:30.689021Z digest=sha256:11e6de638a09f96636fdde33ee7455a14b61334f4433aa015e19ff2cfc401c0f

Observation 8ca0e47d-8324-4a05-80b1-edbf8bed4ac3 · outbound

This paper cites Learning to optimize tensor programs,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Learning to optimize tensor programs,

Reference 30

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source=pdf_text observed=2026-08-02T12:30:30.863019Z digest=sha256:96dfec0607ec7f8563e5e2fd97f0e5a6b69cde7834d4e23db026076ec814df6e

Observation 789fd873-2679-4da6-bbdf-b6265dc57771 · outbound

This paper cites Ansor: Generating high-performance tensor programs for deep learning,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Ansor: Generating high-performance tensor programs for deep learning,

Reference 31

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source=pdf_text observed=2026-08-02T12:30:30.945666Z digest=sha256:03234f2d6a3ac282db20689822f53bc9f883be2848e7affd2d8145dff6e41a7b

Observation 4beaeafd-b4d0-40dd-b4e0-4a78a707faa8 · outbound

This paper cites torchvision.models.resnet50,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels torchvision.models.resnet50,

Reference 32

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source=pdf_text observed=2026-08-02T12:30:31.004673Z digest=sha256:cae607c0e7afd89555e8ae7a6d25753096a8308570c8fa8adc5b8501af86d9f3

Observation fe150bee-c4ab-46e3-ad8c-94d2388a9e38 · outbound

This paper cites Do ImageNet classifiers generalize to ImageNet?.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Do ImageNet classifiers generalize to ImageNet?

Reference 33

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source=pdf_text observed=2026-08-02T12:30:31.089960Z digest=sha256:37eb5fb6080aa76cfba60e73266c655dcca50addd02e79ac84e1984de161cbbb

Observation 285896f3-d2c6-45cc-8af3-49dd7d60f4de · outbound

This paper cites Diffusers: State-of-the-art diffusion models,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Diffusers: State-of-the-art diffusion models,

Reference 34

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source=pdf_text observed=2026-08-02T12:30:31.198319Z digest=sha256:7187d46d7434fc753d1f29b0b6bc28444ad183c146c2b43cae23bde645049d1a

Observation 27ebcfc4-0ac0-4268-af58-72fa2a32ac8a · outbound

This paper cites T2I-CompBench: A comprehensive benchmark for open-world compositional text-to-image generation,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels T2I-CompBench: A comprehensive benchmark for open-world compositional text-to-image generation,

Reference 35

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source=pdf_text observed=2026-08-02T12:30:31.304018Z digest=sha256:5ef358df8e2423fb93042ce5f98c9b06b8bc0e91a23e2f28e60b01ef689b165d

Observation 7a74e52e-c2df-4419-9e66-851ad5d55655 · outbound

This paper cites Judging LLM-as-a-judge with MT-Bench and chatbot arena,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Judging LLM-as-a-judge with MT-Bench and chatbot arena,

Reference 36

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source=pdf_text observed=2026-08-02T12:30:31.421596Z digest=sha256:3a3dc36338401e6fdec0b33075d518d1a54801b0bb9fad871501d961a287c145

Observation f84e7605-fc9a-495a-8aeb-063b34e1af03 · outbound

This paper cites ShareGPT Prompts Annotated,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels ShareGPT Prompts Annotated,

Reference 37

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Observation 4060d277-5e4e-4587-ae63-2cc4018ec38f · outbound

This paper cites LongBench: A bilingual, multitask benchmark for long context understanding,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels LongBench: A bilingual, multitask benchmark for long context understanding,

Reference 38

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source=pdf_text observed=2026-08-02T12:30:31.572369Z digest=sha256:103e9584c8397c0bb96e11644efecdb528a762156c9049b55d91c8bee8382d79

Observation cf6d4265-ee8b-49e5-9bff-8447c34efbdd · outbound

This paper cites Introducing Claude Opus 4.7,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels Introducing Claude Opus 4.7,

Reference 39

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no resolver link, observed 2026-08-02T12:30:31.639521Z

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source=pdf_text observed=2026-08-02T12:30:31.639521Z digest=sha256:3fcf9c8638f552fa4850c23846b0c2a9aadd442260a8e1bd290c26f536e08519

Observation 3959a1e7-6f4b-46f4-a12e-07b16174161a · outbound

This paper cites ComputeEval: Evaluating large language models on CUDA,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels ComputeEval: Evaluating large language models on CUDA,

Reference 40

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Observation a9385890-c6d1-44c0-a485-d3b9b9803913 · outbound

This paper cites TritonGym: A benchmark for agentic LLM work- flows in Triton GPU code generation,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels TritonGym: A benchmark for agentic LLM work- flows in Triton GPU code generation,

Reference 41

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Observation a25549b0-c343-4c98-94ed-a52768766abf · outbound

This paper cites KernelFalcon: Deep agent architecture for autonomous GPU kernel generation,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels KernelFalcon: Deep agent architecture for autonomous GPU kernel generation,

Reference 42

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source=pdf_text observed=2026-08-02T12:30:31.939574Z digest=sha256:59ebcd55427ca9c0e3d4eaea86acb6b305406e9998a1f55927bdc6e7f02a167f

Observation 87976858-c3f5-40f1-abef-9948308b0a7e · outbound

This paper cites torch.nn.functional.scaled_dot_product_attention,.

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels torch.nn.functional.scaled_dot_product_attention,

Reference 43

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no resolver link, observed 2026-08-02T12:30:32.026111Z

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source=pdf_text observed=2026-08-02T12:30:32.026111Z digest=sha256:39844de59854e95c4feb6c525fcbafb3da221074e02ee7b9a935f154f7856a35

Pith citing papers

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