Paper Citation Record · LEDGER

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.20518.

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

pith.paper-citation-record.v1
2607.20518 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:11:52.241434Z

measured 31 of 31 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b52b28d-8d4a-4b97-b8c3-df701dec357d · outbound

This paper cites CUDA Agent: Large-scale agentic RL for high-performance CUDA kernel generation.arXiv preprint arXiv:2602.24286, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits CUDA Agent: Large-scale agentic RL for high-performance CUDA kernel generation.arXiv preprint arXiv:2602.24286, 2026

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.195332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d821037d-c343-4fef-a4cd-56c0eaf9b4c7 · outbound

This paper cites CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.331222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfcba0b2-cb0d-4b4d-8180-4e1e6deab33d · outbound

This paper cites AutoKernel: Autonomous GPU kernel optimization via iterative agent- driven search.arXiv preprint arXiv:2603.21331, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits AutoKernel: Autonomous GPU kernel optimization via iterative agent- driven search.arXiv preprint arXiv:2603.21331, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.448662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707b381b-8dac-4a58-bf08-6e08267371fe · outbound

This paper cites GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.568559Z

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Unavailable: canonical work link unavailable.

Observation fbf36692-796d-4a18-93c4-d74db46a6dbc · outbound

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

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.680142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7930720-6f3c-4bcc-bd0a-d0a1e1c2176e · outbound

This paper cites Kevin: Multi-Turn RL for Generating CUDA Kernels.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Kevin: Multi-Turn RL for Generating CUDA Kernels

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.753543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd120c7-c8a0-43ae-a92d-d9ee81804329 · outbound

This paper cites an unresolved cited work.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.865858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822d242f-cb38-4260-b778-860dca70cd7f · outbound

This paper cites EvoEngineer: Mastering automated CUDA kernel code evolution with large language models.arXiv preprint arXiv:2509.18570, 2025.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits EvoEngineer: Mastering automated CUDA kernel code evolution with large language models.arXiv preprint arXiv:2509.18570, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:50.977398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b766b17e-5a93-4e04-a166-544d32c83dd1 · outbound

This paper cites Towards robust agentic cuda kernel benchmarking, verification, and optimization, 2025.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Towards robust agentic cuda kernel benchmarking, verification, and optimization, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.094598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ca3149-bb50-4094-842e-ec2510f9ddca · outbound

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

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.252542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a71d6de-6196-47a2-b91c-87c75346dc1b · outbound

This paper cites AscendKernelGen: A systematic study of LLM-based kernel generation for neural processing units, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits AscendKernelGen: A systematic study of LLM-based kernel generation for neural processing units, 2026

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.430410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b889d6-d88e-413c-b128-15131c246548 · outbound

This paper cites Ascend- Craft: Automatic Ascend NPU kernel generation via DSL-guided transcompilation.arXiv preprint arXiv:2601.22760, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Ascend- Craft: Automatic Ascend NPU kernel generation via DSL-guided transcompilation.arXiv preprint arXiv:2601.22760, 2026

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.513930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3f8c0d-0bf6-4022-8c4f-df6d6299f2f4 · outbound

This paper cites AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.592817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201f5269-ec62-48eb-8f3b-073e749ab654 · outbound

This paper cites Towards cold-start drafting and continual refining: A value-driven memory approach with application to NPU kernel synthesis.arXiv preprint arXiv:2603.10846, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Towards cold-start drafting and continual refining: A value-driven memory approach with application to NPU kernel synthesis.arXiv preprint arXiv:2603.10846, 2026

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.640101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 584fbbd8-cc30-45fe-a7df-b2eb6309461f · outbound

This paper cites KernelCAT: An expert-level agent for compute acceleration on Ascend NPU.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits KernelCAT: An expert-level agent for compute acceleration on Ascend NPU

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.767483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16918522-e25b-46b1-aa71-5d4ea41f551a · outbound

This paper cites Microscaling Data Formats for Deep Learning.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Microscaling Data Formats for Deep Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.850576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7300d75f-2f49-4c8c-9904-e69dbccdb10b · outbound

This paper cites Training LLMs with MXFP4.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Training LLMs with MXFP4

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:51.965627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56354486-498b-41ca-9259-6412e63f2d45 · outbound

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

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.051994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 458cdcd1-6d4f-408a-b5db-34d194996cd8 · outbound

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

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.132842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f631023-8dbf-4eb5-8b77-1596e78e0071 · outbound

This paper cites SOL-ExecBench: Speed-of-light benchmarking for real-world GPU kernels against hardware limits.arXiv preprint arXiv:2603.19173, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits SOL-ExecBench: Speed-of-light benchmarking for real-world GPU kernels against hardware limits.arXiv preprint arXiv:2603.19173, 2026

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.197546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f14f0cd-a752-4185-903a-8bd59775590e · outbound

This paper cites NPUEval: Optimizing NPU kernels with LLMs and open source compilers, 2025.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits NPUEval: Optimizing NPU kernels with LLMs and open source compilers, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.201747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fba4b52-0441-4559-b385-876678ccbcc3 · outbound

This paper cites Kernelcraft: Benchmarking for agentic close-to-metal kernel generation on emerging hardware, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Kernelcraft: Benchmarking for agentic close-to-metal kernel generation on emerging hardware, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.205811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b7d097-fb35-4b58-a0fe-c7f5ae9b4781 · outbound

This paper cites KernelBench v0.1.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits KernelBench v0.1

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.210404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b3480c-8451-4381-af69-d1d8e54085d3 · outbound

This paper cites Hacks and defenses in automatic GPU kernel generation.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Hacks and defenses in automatic GPU kernel generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.214348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8784aab7-ce25-48b4-a6c1-faa9d332418c · outbound

This paper cites Fall 2025 KernelBench maintenance and improvement plan.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Fall 2025 KernelBench maintenance and improvement plan

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.218143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788ab275-446a-45da-bceb-433059e22c40 · outbound

This paper cites msprof profiling tool: Ascend CANN auxiliary development toolkit documentation.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits msprof profiling tool: Ascend CANN auxiliary development toolkit documentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.222011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f429cfb-5086-4c06-866a-9407ad1fc5da · outbound

This paper cites CANN open software license agreement version 2.0.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits CANN open software license agreement version 2.0

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.225806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6bb7821-9f11-4593-abda-97118e262109 · outbound

This paper cites Conditional memory via scalable lookup: A new axis of sparsity for large language models, 2026.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Conditional memory via scalable lookup: A new axis of sparsity for large language models, 2026

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.229834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0434b6a5-ba8f-40b3-8827-9358ab8564b6 · outbound

This paper cites Npu and cuda function alignment.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Npu and cuda function alignment

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.233659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555ca857-8222-4e34-8b76-18e9b93345be · outbound

This paper cites Ascend npu performance data collection.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Ascend npu performance data collection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.237691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec196b48-6b59-4cda-bd31-56556909ca14 · outbound

This paper cites Ascend extension for pytorch.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Ascend extension for pytorch

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:52.241434Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.