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Paper Citation Record · LEDGER

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 4 inbound Pith citation observations for arXiv:2507.14403.

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

pith.paper-citation-record.v1
2507.14403 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:59:30.614128Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:49:48.196496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:55:46.667717Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39ee9981-1d1d-404f-a581-3abb42c5fa45 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Evaluating Large Language Models Trained on Code

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:27.998226Z digest=sha256:85fbec6b3c6b0484e33a17df17054d6e4e89885f831d0adc44f2a3a872de9cc2

Observation 54cb14f2-95b4-4cc5-a590-cecc3d5bd203 · outbound

This paper cites Program Synthesis with Large Language Models.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Program Synthesis with Large Language Models

Reference 2

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no resolver link, observed 2026-08-06T15:59:28.070299Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:59:28.070299Z digest=sha256:a0232710e0f459f1d71f0bd304825e64f254a3065e8d236f8728b3909ddf8dc4

Observation b24df05c-ca8e-4564-9aad-9c130efbd3b1 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation, 2023.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation, 2023

Reference 3

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no resolver link, observed 2026-08-06T15:59:28.134449Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:28.134449Z digest=sha256:d433418fa08aa3990c423bbf3fd7b97e9c02793a0dba078a96ab899b0c9e3391

Observation f17e4fea-2e29-4007-a56b-594d87923df0 · outbound

This paper cites Multipl- e: a scalable and polyglot approach to benchmarking neural code generation.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Multipl- e: a scalable and polyglot approach to benchmarking neural code generation

Reference 4

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raw_fallback, observed 2026-08-06T15:59:34.241438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:28.209281Z digest=sha256:8ca10018300b6d13c3728d88ad47c7a0d5f2497de683b073ac39b418cd302fac

Observation 15e02540-c741-4384-ad7d-14ac099f810c · outbound

This paper cites Mceval: Massively multilingual code evaluation, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Mceval: Massively multilingual code evaluation, 2024

Reference 5

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raw_fallback, observed 2026-08-06T15:59:33.973753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:28.313313Z digest=sha256:4bab882a0fb66347ec40eee7a395c7445f5bac5562b7e36e0a4ff4e9b1281cc2

Observation a8a0cedb-9af7-4c70-9529-9b6d1bc29ad7 · outbound

This paper cites Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

Reference 6

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no resolver link, observed 2026-08-06T15:59:28.451727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:28.451727Z digest=sha256:73592f44d3f05858f7399898cd112b3ac6a6139fc12a18a8fce74e020ff8c44a

Observation 810005f0-8657-46ca-a4de-d92969438dc9 · outbound

This paper cites Evocodebench: An evolving code generation benchmark aligned with real-world code repositories, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Evocodebench: An evolving code generation benchmark aligned with real-world code repositories, 2024

Reference 7

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raw_fallback, observed 2026-08-06T15:59:33.787707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:28.601830Z digest=sha256:52aaec5edab16f2c704dea39b7a1b8cd20e5972991a2b1226026beb5def52996

Observation 011038c0-c6ee-498d-82dd-814e2524af5b · outbound

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

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 8

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no resolver link, observed 2026-08-06T15:59:28.711340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:28.711340Z digest=sha256:8b6cab1a831de09aec5e5b0cf474e7c13ab0bf754275d497c0816d2227b1fafc

Observation 4791faf1-2034-4a89-ac72-486de223956d · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 9

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no resolver link, observed 2026-08-06T15:59:28.837504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:28.837504Z digest=sha256:d964c100c2bcd86674d12b7a17e7e93e7d4e1dc3cc4c94e3009cbbfa7d8611c3

Observation fc357435-2e60-4fac-a543-0c95f2998bfa · outbound

This paper cites Claude 3.7 sonnet and claude code, https://www.anthropic.com/news/claude-3- 7-sonnet.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Claude 3.7 sonnet and claude code, https://www.anthropic.com/news/claude-3- 7-sonnet

Reference 10

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raw_fallback, observed 2026-08-06T15:59:33.686986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:28.971048Z digest=sha256:e0c5b3b5b691e8fe5cbf41f1c4ef1ef8da14a218714641ca7d317303f1304f36

Observation 310f1d94-4ace-455f-93df-79f293e44a49 · outbound

This paper cites AMD XDNA.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers AMD XDNA

Reference 11

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.027491Z digest=sha256:ad50445fecbd5149a7c666b024e69ee9384fdca4209ccb6bac04a859474426dc

Observation 30fa6d92-b7bc-4deb-927e-51c8e94cec0d · outbound

This paper cites Apple Neural Engine.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Apple Neural Engine

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.117970Z digest=sha256:5bf09b8b0db481cbb42e25c2ff92565edfa25003c9fa18254a125359f6abb5bd

Observation 351c1644-d92d-428f-b0a3-b6fb105bd4af · outbound

This paper cites Huawei Technologies Co.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Huawei Technologies Co

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.188237Z digest=sha256:1469baaa9d8a458c70b96c79ce78dc360423be9a05175d0d6182ef49886858d4

Observation 57ed7351-4e33-4487-a296-1387c5e53fba · outbound

This paper cites Intel neural processor, https://intel.github.io/intel-npu-acceleration- library/npu.html.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Intel neural processor, https://intel.github.io/intel-npu-acceleration- library/npu.html

Reference 14

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raw_fallback, observed 2026-08-06T15:59:33.109326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.299260Z digest=sha256:61b7b1f570f9c5afae9e9ffdf4d7ecdf5e4e57d071f3c14512aae8a5a1f5d8fd

Observation 9807e33c-69a0-4329-8715-1802d1ea652f · outbound

This paper cites Samsung neural processing unit, https://semiconductor.samsung.com/support/tools-resources/dictionary/the-neural-processing- unit-npu-a-brainy-next-generation-semiconductor/.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Samsung neural processing unit, https://semiconductor.samsung.com/support/tools-resources/dictionary/the-neural-processing- unit-npu-a-brainy-next-generation-semiconductor/

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.387572Z digest=sha256:42f415a85cca44a14d7a667755eda278446aa55cd51f195a8e7966a617479d8f

Observation 78740e51-ac5c-4636-8074-660774754efd · outbound

This paper cites Qualcomm Technologies.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Qualcomm Technologies

Reference 16

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raw_fallback, observed 2026-08-06T15:59:32.801890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.469367Z digest=sha256:ca7994f3acf20ecf74cedcd388116622974a9815488a907dac079ee41c2a3bc7

Observation ef0b7cf9-caf9-4d92-90de-4919dd0988f8 · outbound

This paper cites Zhang, William Hu, Christopher Ré, and Azalia Mirhoseini.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Zhang, William Hu, Christopher Ré, and Azalia Mirhoseini

Reference 17

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no resolver link, observed 2026-08-06T15:59:29.545031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:29.545031Z digest=sha256:00e19d908e8dc9ddde2b54454b82ed7b8deead613615a9308369cd9758512d2f

Observation 386ffa26-5f41-468e-8ea2-fd6c9aa4ad1e · outbound

This paper cites The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.622900Z digest=sha256:4aa9764e426de5d16eec86d572dff63138fa50724328eee295ed0e6f38f3abf6

Observation 782e258a-723b-4a4f-aa33-655ce1237463 · outbound

This paper cites Tritonbench: Benchmarking large language model capabilities for generating triton operators, 2025.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Tritonbench: Benchmarking large language model capabilities for generating triton operators, 2025

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.683100Z digest=sha256:25254b9ee271ca0480bf02814101667fe304032a6346984e9e8d426f0491bd79

Observation 93639e8a-be7f-43b2-8a2f-b3860d6babd1 · outbound

This paper cites Efficiency, expressivity, and extensibility in a close-to-metal npu programming interface, 2025.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Efficiency, expressivity, and extensibility in a close-to-metal npu programming interface, 2025

Reference 20

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raw_fallback, observed 2026-08-06T15:59:32.433620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.829951Z digest=sha256:a9b3e72ebb64e16670d76c751465071ba236fc5fd93c6e69a40a7031657ea203

Observation 617e9ef7-78e6-410f-97ab-271b8a9c4411 · outbound

This paper cites A stand-alone implementation of several NumPy dtype extensions used in machine learning, https://github.com/jax-ml/ml_dtypes, 2025.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers A stand-alone implementation of several NumPy dtype extensions used in machine learning, https://github.com/jax-ml/ml_dtypes, 2025

Reference 21

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raw_fallback, observed 2026-08-06T15:59:32.284284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.879062Z digest=sha256:90e64a434f626668ffe3b170f8c1745ed5ec52061178b5830f6cf99e3b19161e

Observation e19f6b90-502f-4ddb-97bb-7d991de9d6b9 · outbound

This paper cites Fork of LLVM to support AMD AIEngine processors, https://github.com/Xilinx/mlir-aie, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Fork of LLVM to support AMD AIEngine processors, https://github.com/Xilinx/mlir-aie, 2024

Reference 22

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raw_fallback, observed 2026-08-06T15:59:32.078202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:29.982637Z digest=sha256:dd84d8cee8e22601390cc88bc545b9d5d8e7a37940750d310f720ed64ee525d8

Observation 276cd29e-88e3-453f-a99e-e3c85bfb466e · outbound

This paper cites Developing a blas library for the amd ai engine, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Developing a blas library for the amd ai engine, 2024

Reference 23

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raw_fallback, observed 2026-08-06T15:59:31.894194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:30.103932Z digest=sha256:000c72ba8d0e75ac5c334055b3b35280fad15b5d534bb2ee3daf28f79b1e10cd

Observation 23fb492e-bb44-4775-ba23-ee43de9fbe10 · outbound

This paper cites Versal VCK190 Evaluation Board, 2025.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Versal VCK190 Evaluation Board, 2025

Reference 24

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raw_fallback, observed 2026-08-06T15:59:31.671486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:30.241057Z digest=sha256:02aa9cb8249167aa7e0d096c7b55d2a50ddceeced72c17557ee43fcf5f3d978d

Observation 96226a39-db85-4ed0-a6ab-0b664426afe8 · outbound

This paper cites An MLIR-based toolchain for AMD AI engine-enabled devices, https://github.com/Xilinx/llvm-aie, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers An MLIR-based toolchain for AMD AI engine-enabled devices, https://github.com/Xilinx/llvm-aie, 2024

Reference 25

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raw_fallback, observed 2026-08-06T15:59:31.485031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:30.368316Z digest=sha256:5b7fc617b4158d163e10798ba0ce0f83a82ccb4807ad75044cc6f09e2e5c1b23

Observation ea437f37-5e15-4002-85e8-e276162a9e7b · outbound

This paper cites An open-source exploration framework for first time users of the AMD Ryzen AI Neural Processing Unit, https://riallto.ai/, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers An open-source exploration framework for first time users of the AMD Ryzen AI Neural Processing Unit, https://riallto.ai/, 2024

Reference 26

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raw_fallback, observed 2026-08-06T15:59:31.265346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:30.482513Z digest=sha256:749d60e5785fe169040a7a2a98c667d292e46dcd275f05871a27a8aa7a3b83ba

Observation 4980411d-ac22-4848-8c76-920752e08b5e · outbound

This paper cites LlamaIndex, https://github.com/jerryjliu/llama_index, 2022.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers LlamaIndex, https://github.com/jerryjliu/llama_index, 2022

Reference 27

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raw_fallback, observed 2026-08-06T15:59:31.047663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:30.535347Z digest=sha256:731bd1d8a9f5933978f1c9303912f1a8472a326c2d7d1eae38b6460c29b4b190

Observation f7c14d63-29f4-443f-99d8-46bfd21ceb9d · outbound

This paper cites Retrieval-augmented generation for large language models: A survey, 2024.

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers Retrieval-augmented generation for large language models: A survey, 2024

Reference 28

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raw_fallback, observed 2026-08-06T15:59:30.830423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:59:30.614128Z digest=sha256:3a82390ce97925ab8940d0aa4fbfa258fc1fddcf13de6c3e1f10078cda34a09c

Pith citing papers

Observation 2229ad75-5768-4187-93da-522c4c4bf529 · inbound

Towards Automated Kernel Generation in the Era of LLMs cites this paper.

Towards Automated Kernel Generation in the Era of LLMs NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

Reference 21

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unresolved
no resolver link, observed 2026-08-03T08:49:48.196496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:49:48.196496Z digest=sha256:89d7244e463f55f359b30379c35bed0860e4a88a38934d814705d36f4191cdad

Observation ffa07813-799f-432f-9c0b-e640c952e964 · inbound

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon cites this paper.

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

Reference 4

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verified exact
arxiv_id, observed 2026-07-01T13:55:46.669532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T22:28:56.528033Z digest=sha256:411468d012d0afa2acec761167cae7dab2b899eef5553d1695711979b7ebaf3a

Observation d47a585b-499a-4e8e-bf86-8de6698decad · inbound

FastKernels: Benchmarking GPU Kernel Generation in Production cites this paper.

FastKernels: Benchmarking GPU Kernel Generation in Production NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

Reference 5

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arxiv_id, observed 2026-05-25T05:20:24.418051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T05:20:08.724490Z digest=sha256:a296cf55f80fc56b98645aefbf09581c502122a2dcc411e04ca9b886a148acd5

Observation 3c7118c6-c1dc-4ec6-9863-73ba6273995a · inbound

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs cites this paper.

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

Reference 8

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verified exact
arxiv_id, observed 2026-06-29T13:53:28.521652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T13:52:02.579141Z digest=sha256:548eb054b52a0e3612e456a0799724e54e2b5e90c07b109119ff13efc19cb0e1