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Paper Citation Record · LEDGER

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:513138696c187dce8e179a58db3e1e759f4e8e6d38beb95b839f707934dc47a5

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:28.070299Z digest=sha256:cf810a7ffa13ece62125a9cb576fa718aa1467bdf66ad195c4dfef85788aaa4f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:28.134449Z digest=sha256:0c678dedb0239e2441987dd340daa6b7000ea9c137f22c054f1997ace196a8d7

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:28.209281Z digest=sha256:767a4eebdf3555fb04501ceb1bda7ceb6262a3a2948a3c0fcf81907fe2781ed2

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:28.313313Z digest=sha256:b508f9f1f76807b56e24e8d87137ec3595b98e685d0064808b57c570a97f3d6f

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=sha256:0de35d54c8855b3706d0076972be0324ab1a4d615ead33e472f846262e620d05

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:28.601830Z digest=sha256:339e2dcdcfd32cd73f6fb0c7ecad1545d7126b05f8cf1df277679b129154e60b

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:d916fe0c95a63a61aba8a5a1ecee62b1d0f62098d8a16ca0fb760d584bce784c

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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unresolved
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:b8f4e521193c72bb0cace24fcf508c79bcb8100400c2f3a09940832301396fae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:28.971048Z digest=sha256:49931dd5941e11d45d19519e1d0cb30d402ea7903e9d9b7ee51fd89b69d3e423

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.027491Z digest=sha256:1db87f57e1e3159b498319cc823c438f3649cc53313269968072035c8d354d84

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.117970Z digest=sha256:c94e381e392db41453dba04bb4c09c0ae40a1f8090236f1b929ed9a45389a9c8

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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raw_fallback, observed 2026-08-06T15:59:33.266696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.188237Z digest=sha256:7e90b9ecb5d10d5c37babd66a85cc531ba80fab0f5abb86d8e6fb622915deab3

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.299260Z digest=sha256:8c73defc76ea173c9d18679e456950e84627d09e7c76aac740a3539817e8941f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.387572Z digest=sha256:90da539702f6d4cf2a3045c7e89956e6281c6977e1b1e71bc66e9937f99914f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.469367Z digest=sha256:654b05ab598fb9b9a44dfc2dfd20dddda6a98bc613e7940dd5e9a0b227a21669

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=sha256:119dd9c02de1ffa8bc00db0f11b747e4a125cae000251056f3b8bf1daa8369be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.622900Z digest=sha256:1ceb4acabecf7f8b777f7c182a18b8463b7e12e725fceee1605057b9a290dc6f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.683100Z digest=sha256:77108a77b5873f2a4f28675700776aded6da6d3b7d3265bfaaba1d7c62f07acb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.829951Z digest=sha256:1c91bffb4f3c4b5d3af84cf8145db30c63fcdf3bd6031e0e5cb8a505222b79d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.879062Z digest=sha256:c54a2acdf604e7d940ab86b874b7a07dd4c1abc2b65d2e756f4ca2f1d51a6d53

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:29.982637Z digest=sha256:687b79345f96520a25701769d7ec8c00f91e41c65b9e7b59117413ea54670080

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:30.103932Z digest=sha256:68d19748c233dbb4e690e650df9607429e3f106e778fb0561faef1f9133e1cd5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:30.241057Z digest=sha256:96345bbc6b0f3a17793b67b2f14cb8fab67b96e32063a03bfaf30b0dfa18b0bf

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:30.368316Z digest=sha256:fff547020445606610452a1556cfdec2f471cc908b43efcc19778472541df5e1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:30.482513Z digest=sha256:1d2c4c534cc2636c321f1f6d2e3dd6696e70b71f6c63a53fcc612dec5e59296b

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:30.535347Z digest=sha256:bbebfaa273c162ad7c26d9c57a9f6cf665a5686a8c7c00eae6d12b0f7e2a5890

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:59:30.614128Z digest=sha256:04a5a33b571b317e4a730bc47cf570c7a15af5564e5d1552b9cf23373bf50d53

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

Resolution
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=sha256:0d3cdb967b5bcec929f2ac5cce78604df83f969433f0472302a63a8391489050

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T22:28:56.528033Z digest=sha256:39fe03146a53e22d1c14e105e6fee2aea2093a5c201fdc1923c00d2284ccf312

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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verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T05:20:08.724490Z digest=sha256:991558152acc0e5d29794e5c52d3cbea8e963489145f5006b7e6220566a600cd

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T13:52:02.579141Z digest=sha256:61b54b789b1e1b977a216a87b3d76ff653f99889615fa7c42ab766f5f2168458