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Paper Citation Record · LEDGER

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 8 inbound Pith citation observations for arXiv:2508.20258.

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

pith.paper-citation-record.v1
2508.20258 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:52:48.879174Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:17:05.015451Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:29:00.455930Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4fa1617-73b4-46dd-b6ea-ab8848447d71 · outbound

This paper cites Learning to optimize halide with tree search and random programs.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Learning to optimize halide with tree search and random programs

Reference 1

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raw_fallback, observed 2026-08-15T16:52:49.395532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.764789Z digest=sha256:29604c358ffc04f58d76c8fc6d6468487451d86eafd631ef1c77fb305c8099b7

Observation f89de765-a9d3-488f-8d16-760f3e165eae · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.769505Z digest=sha256:38a5882896ea80fe39220dbc46aff12c58e7c56aa63b80d01d567b8a10285f8d

Observation 31f951f8-3696-4014-9fb8-f68bd63548ff · outbound

This paper cites Heterogeneous-computing interface for portability (HIP).

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Heterogeneous-computing interface for portability (HIP)

Reference 3

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raw_fallback, observed 2026-08-15T16:52:49.382299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.774765Z digest=sha256:21fae0d4529fad1c08167b16592479407e2d06fd215bd6f65c46fae3760e504f

Observation 292641d1-778e-4417-9bdd-35500a258163 · outbound

This paper cites ROCprofiler-SDK: Application profiling, tracing, and performance analysis.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization ROCprofiler-SDK: Application profiling, tracing, and performance analysis

Reference 4

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raw_fallback, observed 2026-08-15T16:52:49.367684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.778592Z digest=sha256:d7436bc67b14430a330b0863eddbccc159b06e08d8db54c7b20e2d2c38d70853

Observation c01fd3fa-c52e-4862-996a-2125ba499365 · outbound

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

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.782723Z digest=sha256:627c8e9f9c185c354b339a81af80badf2ea6725bfd2dd00ea73e44ca9ce38d0a

Observation 4c3ce8d3-a7b1-4892-adc0-6bd824b8e534 · outbound

This paper cites Opentuner: An extensible framework for program autotuning.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Opentuner: An extensible framework for program autotuning

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.787433Z digest=sha256:fcc21a968d3fb2198ad529ae7ff5422850c612b2ff3137d2c468ba8881936472

Observation 04a52275-2c27-4c13-ba48-933fee9af7c4 · outbound

This paper cites Intelliperf: LLM-powered autonomous GPU performance engineer, July 2025.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Intelliperf: LLM-powered autonomous GPU performance engineer, July 2025

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.792055Z digest=sha256:5ed42a3b804ccb377022150549f2755c6aba1a017e7540b4ad31cc8e2b60634b

Observation b683da53-5549-4f81-b824-1b0157d8bf3c · outbound

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

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Kevin: Multi-Turn RL for Generating CUDA Kernels

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.796751Z digest=sha256:80ad3b8e0e7b00ffe1e366a3fffab9ecf0a00714a2ca4840dd311dcf22fe132e

Observation 657f3e46-93ea-4dd0-915e-200af479c25d · outbound

This paper cites Learning to Optimize Tensor Programs.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Learning to Optimize Tensor Programs

Reference 9

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no resolver link, observed 2026-08-15T16:52:48.801185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.801185Z digest=sha256:0b32361f159a21895e3a13c708ad69ec084494a6b1a2d9194c59b83a055c9d40

Observation e09d121e-42cf-4a1a-8c3e-a243a38349c0 · outbound

This paper cites Multi-Head Attention: Collaborate Instead of Concatenate.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Multi-Head Attention: Collaborate Instead of Concatenate

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.805535Z digest=sha256:c77eb96fc3ceea17a0f1d639205420757c6a89edc7fcc818bcc576f5fcccd8a4

Observation 7213ee2c-2d07-4ec6-bff6-6769b9ca088a · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 11

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source=pdf_text observed=2026-08-15T16:52:48.809913Z digest=sha256:0e7327e66af87d0b33b2d113c905a323d3e0e0786d7a7d7a2c8d90a35df90303

Observation f0e5c09b-8fae-4560-ba02-65543371751f · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 12

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no resolver link, observed 2026-08-15T16:52:48.813709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.813709Z digest=sha256:2681afef4aa69ded597d67ce2b361e3c0f66d20bd07686c7ff69f7251ea818e5

Observation 36a59c8e-378c-472c-9ca2-d2b8f488d599 · outbound

This paper cites an unresolved cited work.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-15T16:52:49.334947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.818335Z digest=sha256:134421a8ea214f5fa68d0c02697e1c25dc69d1e07c698155843e212cdf7b27b0

Observation 36c229e2-23ef-4c6a-a53b-c3b69a30d2e3 · outbound

This paper cites An integrated gpu power and performance model.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization An integrated gpu power and performance model

Reference 14

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raw_fallback, observed 2026-08-15T16:52:49.322336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.821972Z digest=sha256:7d5ece69004a0217f1d441d0020b9e2ac6e9c331e50e5e37189dc5a209794c59

Observation 2b7a7be9-8b5b-4b02-a5d0-a31b7fc2cc6b · outbound

This paper cites Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.825748Z digest=sha256:3c27fe085109cbe9a0d32f7ab805ba3197c6a367515ea6c2057cb080a5969045

Observation 01ff1895-c04d-4c8b-9061-9db7b4b22854 · outbound

This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 16

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raw_fallback, observed 2026-08-15T16:52:49.308726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.829659Z digest=sha256:10821a355a3cb2439d83c08dd8e9ba906a62ed272ee20d2dc498ff1101eaf0a6

Observation cd925acc-6a93-4223-9eb5-4146574b6d0e · outbound

This paper cites CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.833300Z digest=sha256:ea423b6b031b1620f0289e589ad12ff0b617c69d7b32594e0030e43fd307888a

Observation 3c4d4751-0e71-4a38-821b-cef0392ce7fb · outbound

This paper cites Competition-level code generation with alphacode.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Competition-level code generation with alphacode

Reference 18

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no resolver link, observed 2026-08-15T16:52:48.837373Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.837373Z digest=sha256:9573300a905445c7bc870e99085228f2086b77dbbd4e07d622a0340050466451

Observation 9da3f234-6622-41cf-8e98-07c8b900f353 · outbound

This paper cites Rigorous evaluation of computer processors with statistical model checking.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Rigorous evaluation of computer processors with statistical model checking

Reference 19

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raw_fallback, observed 2026-08-15T16:52:49.282434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.840961Z digest=sha256:70192a033bb9500398df479c0b0432efe34b43eb76ba7bd388c23cb11c1498f5

Observation 58f2089d-5bf0-4f28-b3a6-5a3b26175670 · outbound

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

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 20

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no resolver link, observed 2026-08-15T16:52:48.844809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.844809Z digest=sha256:8bf425750e5d8a8f7d5b6d893e3c6862159e4b198aeffc6362b556b1b254b2f1

Observation 6446b73b-9261-4bfb-a52b-e267b74cac26 · outbound

This paper cites Quarch: A question-answering dataset for ai agents in computer architecture.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Quarch: A question-answering dataset for ai agents in computer architecture

Reference 21

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raw_fallback, observed 2026-08-15T16:52:49.256650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.848915Z digest=sha256:2ee72da199d76c6c18fa358def4b85faf2f0799405c4d5a316462242c857ee0b

Observation 6a1a9ed2-b8e6-4477-9869-f92f4785ce49 · outbound

This paper cites Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.852560Z digest=sha256:30523aa0323a3341495da48eff642dfd3db5a4bb063fca68268c791d735dc4e1

Observation 4f06d7f6-6316-44d0-b099-f14a41ba61e9 · outbound

This paper cites Learning Performance-Improving Code Edits.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Learning Performance-Improving Code Edits

Reference 23

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source=pdf_text observed=2026-08-15T16:52:48.857043Z digest=sha256:14574142a2ad743eda7281a5520dbf310b697f3b412fff7c38e5263cef7df7a7

Observation 830203f4-87ea-4b39-a89d-9a4d09ff2d8a · outbound

This paper cites 11.1 amd instincttm mi300 series modular chiplet package–hpc and ai accelerator for exa-class systems.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization 11.1 amd instincttm mi300 series modular chiplet package–hpc and ai accelerator for exa-class systems

Reference 24

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raw_fallback, observed 2026-08-15T16:52:49.243144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.861873Z digest=sha256:d4e0275d9bec4ebaf51687d9a3e8cc5657292332be14c6978aef1ed3daccd8d1

Observation 702965d7-d447-42e8-a886-19971e214975 · outbound

This paper cites MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:48.865474Z digest=sha256:2f69df57438b71d378f2e584ae6a48433c9c2be9cbd0747d5cf16c2c358daeae

Observation af9f8efc-6079-4649-8d54-4b1b0d9bc7db · outbound

This paper cites Measuring energy and power with papi.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Measuring energy and power with papi

Reference 26

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raw_fallback, observed 2026-08-15T16:52:49.229627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.870250Z digest=sha256:07b8c094a03b0709a7340a0d598bb413aadc9e59030da584228a2868faefd596

Observation 3ebd13be-26ad-4035-89b2-a6dfffaa1053 · outbound

This paper cites Clint Whaley, Antoine Petitet, and Jack J.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Clint Whaley, Antoine Petitet, and Jack J

Reference 27

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raw_fallback, observed 2026-08-15T16:52:49.209755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.874337Z digest=sha256:e614527b788618da02cf30ba6b7b6fb155c5259dca7078f794215c4860e678be

Observation 8c3b6360-621b-4fdb-bb46-51fe55499cbd · outbound

This paper cites Gonzalez, Ion Stoica, and Koushik Sen.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Gonzalez, Ion Stoica, and Koushik Sen

Reference 28

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raw_fallback, observed 2026-08-15T16:52:49.191567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:52:48.879174Z digest=sha256:04e60b17ad5619fdfa86f1638ab9da606380ed859ead00098da39c3259b6bbf5

Pith citing papers

Observation 88e47590-849a-4654-858c-22b63208049d · inbound

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning cites this paper.

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:04:28.510867Z digest=sha256:47ff19aaff613e099d3defa97c0c5afd822866f6e364aac42637d1048064231a

Observation 1bcbc9cb-2ef2-4442-ad32-d721ebd61e73 · inbound

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

Towards Automated Kernel Generation in the Era of LLMs SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 47

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:49:50.385438Z digest=sha256:f0771dff507a31228aa88b734754c76b72aee512197f37b404c46be39fa27e76

Observation 86fcc89c-f9cc-45dc-8373-fdd0747458cf · inbound

LEO: Tracing GPU Stall Root Causes via Cross-Vendor Backward Slicing cites this paper.

LEO: Tracing GPU Stall Root Causes via Cross-Vendor Backward Slicing SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 33

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verified exact
arxiv_id, observed 2026-05-10T01:04:50.649360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T00:55:09.017037Z digest=sha256:ea2bad4aa098d63ebc1acde2f81286e792b58312c502bbc4957f5724bf594d2a

Observation 59802901-4e8e-49ce-8369-9e723d36cdee · inbound

LEO: Tracing GPU Stall Root Causes via Cross-Vendor Backward Slicing cites this paper.

LEO: Tracing GPU Stall Root Causes via Cross-Vendor Backward Slicing SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 33

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no resolver link, observed 2026-08-02T15:49:36.610007Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:49:36.610007Z digest=sha256:ee44b763526c7da20811ab81506c92763445081d8946c898032c75853d8cc585

Observation 0670648b-7238-4aa5-936d-26be8e3c7ff1 · inbound

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts cites this paper.

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 21

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arxiv_id, observed 2026-06-30T23:35:07.141292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T23:33:47.477482Z digest=sha256:f65966cdf3b6fd8f80604f6b79d611de8956fc6bcc5d2a4cf8441062f77128d4

Observation 460e180a-3037-4469-8328-8c697cb0b7bf · inbound

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts cites this paper.

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 21

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no resolver link, observed 2026-08-04T05:17:05.015451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:17:05.015451Z digest=sha256:5530dd1abbff208c0f339c622fd50be16d3d69a25ccf0e6bf8595c55b433a729

Observation 4a565637-34fa-4324-8f73-ba9102e76de5 · inbound

SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation cites this paper.

SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:29:00.457665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T23:35:32.175768Z digest=sha256:5c0e12fa575f6032e04427eb0428a1f35db5042445c1af84cc7c0fa2dacd76d2

Observation 030a03f7-669e-4e8b-b5a6-e982ee3547f3 · inbound

JAXBench: Benchmarking Autonomous TPU Kernel Optimization cites this paper.

JAXBench: Benchmarking Autonomous TPU Kernel Optimization SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T13:46:47.513187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:46:47.513187Z digest=sha256:ea8e00bda2abca0af2017ce89e2fd0dd7c11e96bb8dcc3d6a1b616ef60f6d9b4