Paper Citation Record · LEDGER

Scaling On-Device GPU Inference for Large Generative Models

As of 17 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2505.00232.

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

pith.paper-citation-record.v1
2505.00232 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:30.372775Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:57:30.733875Z

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 8a6ea8cf-7f83-451e-b584-6b4e92d8fb08 · outbound

This paper cites The Khronos Group Inc., 2019.

Scaling On-Device GPU Inference for Large Generative Models The Khronos Group Inc., 2019

Reference 1

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Observation 84050aef-ddba-42d5-b04b-ecb0c3593d90 · outbound

This paper cites The Khronos Group Inc., 2025.

Scaling On-Device GPU Inference for Large Generative Models The Khronos Group Inc., 2025

Reference 2

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Observation 64e918cc-7901-4b36-ac95-2d2349573ec9 · outbound

This paper cites AMD ROCm Soft- ware.

Scaling On-Device GPU Inference for Large Generative Models AMD ROCm Soft- ware

Reference 3

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This paper cites LLM in a flash: Effi- cient Large Language Model Inference with Limited Mem- ory, 2024.

Scaling On-Device GPU Inference for Large Generative Models LLM in a flash: Effi- cient Large Language Model Inference with Limited Mem- ory, 2024

Reference 4

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Observation 50f83bf4-3208-4146-9e8f-0d8a1022d446 · outbound

This paper cites Core ML Stable Diffusion.

Scaling On-Device GPU Inference for Large Generative Models Core ML Stable Diffusion

Reference 5

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Scaling On-Device GPU Inference for Large Generative Models Unresolved cited work

Reference 6

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Observation 03b334a5-6335-4ae8-a223-c2118fe97de6 · outbound

This paper cites Compute Library.

Scaling On-Device GPU Inference for Large Generative Models Compute Library

Reference 7

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Observation 3a2aac5d-634a-4b7f-9068-6a346dbb38e6 · outbound

This paper cites TVM: An automated End-to-End optimizing com- piler for deep learning.

Scaling On-Device GPU Inference for Large Generative Models TVM: An automated End-to-End optimizing com- piler for deep learning

Reference 8

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Observation ea88d8f3-31d9-4065-b0a5-4af7c03d8324 · outbound

This paper cites Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations, 2023.

Scaling On-Device GPU Inference for Large Generative Models Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations, 2023

Reference 9

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Observation 1bb45ed1-17a1-458f-8cd6-cb1221f0cc8f · outbound

This paper cites LMDeploy: A Toolkit for Com- pressing, Deploying, and Serving LLM.

Scaling On-Device GPU Inference for Large Generative Models LMDeploy: A Toolkit for Com- pressing, Deploying, and Serving LLM

Reference 10

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This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.

Scaling On-Device GPU Inference for Large Generative Models Fu, Stefano Ermon, Atri Rudra, and Christopher R´e

Reference 11

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Scaling On-Device GPU Inference for Large Generative Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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This paper cites GPTQ: Accurate Post-Training Quantization for Gen- erative Pre-trained Transformers, 2023.

Scaling On-Device GPU Inference for Large Generative Models GPTQ: Accurate Post-Training Quantization for Gen- erative Pre-trained Transformers, 2023

Reference 13

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This paper cites Gemma 2: Improving Open Language Mod- els at a Practical Size, 2024.

Scaling On-Device GPU Inference for Large Generative Models Gemma 2: Improving Open Language Mod- els at a Practical Size, 2024

Reference 14

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This paper cites Gemma: Open Models Based on Gemini Research and Technology, 2024.

Scaling On-Device GPU Inference for Large Generative Models Gemma: Open Models Based on Gemini Research and Technology, 2024

Reference 15

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Observation 0aea38be-4609-4085-89ad-90ae866ed3ee · outbound

This paper cites llama.cpp.

Scaling On-Device GPU Inference for Large Generative Models llama.cpp

Reference 16

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Reference 17

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Observation be793fe5-21cb-4c21-858d-104d7958d003 · outbound

This paper cites LiteRT Overview.

Scaling On-Device GPU Inference for Large Generative Models LiteRT Overview

Reference 18

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This paper cites Huawei HiAI.

Scaling On-Device GPU Inference for Large Generative Models Huawei HiAI

Reference 19

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This paper cites OpenVINO.

Scaling On-Device GPU Inference for Large Generative Models OpenVINO

Reference 21

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Observation 9ac07930-d5b7-4318-8149-b9713f0d4c83 · outbound

This paper cites Intel Core Ultra Series 2 Media Deck.

Scaling On-Device GPU Inference for Large Generative Models Intel Core Ultra Series 2 Media Deck

Reference 22

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This paper cites MNN: A Universal and Efficient Inference Engine.

Scaling On-Device GPU Inference for Large Generative Models MNN: A Universal and Efficient Inference Engine

Reference 24

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This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Scaling On-Device GPU Inference for Large Generative Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 25

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Observation 01410587-29d5-48ee-a2fe-8319d24df45f · outbound

This paper cites On-Device Neu- ral Net Inference with Mobile GPUs.

Scaling On-Device GPU Inference for Large Generative Models On-Device Neu- ral Net Inference with Mobile GPUs

Reference 26

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Observation 6ac4ea48-9622-4f7b-92d0-760a9b383d46 · outbound

This paper cites OpenGL ES Version 3.1.

Scaling On-Device GPU Inference for Large Generative Models OpenGL ES Version 3.1

Reference 27

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Observation b7b87274-5c91-466f-82f3-535ef56f05ce · outbound

This paper cites Fast In- ference from Transformers via Speculative Decoding, 2023.

Scaling On-Device GPU Inference for Large Generative Models Fast In- ference from Transformers via Speculative Decoding, 2023

Reference 28

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This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Accelera- tion.

Scaling On-Device GPU Inference for Large Generative Models AWQ: Activation-aware Weight Quantization for LLM Compression and Accelera- tion

Reference 29

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This paper cites The Llama 3 Herd of Models, 2024.

Scaling On-Device GPU Inference for Large Generative Models The Llama 3 Herd of Models, 2024

Reference 30

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This paper cites DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications.

Scaling On-Device GPU Inference for Large Generative Models DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

Reference 31

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Observation bee3c6e9-0c36-4cf2-8a12-31c50c1489ac · outbound

This paper cites NeuroPilot.

Scaling On-Device GPU Inference for Large Generative Models NeuroPilot

Reference 32

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Observation c3ef5adf-bf8c-4145-8251-dab241f281a6 · outbound

This paper cites ExecuTorch.

Scaling On-Device GPU Inference for Large Generative Models ExecuTorch

Reference 33

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This paper cites Llama 3.2: Revolutionizing edge AI and vision with open, customizable models.

Scaling On-Device GPU Inference for Large Generative Models Llama 3.2: Revolutionizing edge AI and vision with open, customizable models

Reference 34

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This paper cites DirectML Overview.

Scaling On-Device GPU Inference for Large Generative Models DirectML Overview

Reference 35

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This paper cites Get started with ONNX Run- time Mobile.

Scaling On-Device GPU Inference for Large Generative Models Get started with ONNX Run- time Mobile

Reference 36

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Observation d0268f61-6ea7-4c56-9c13-91e0b67c767b · outbound

This paper cites Stable Diffusion Op- timization with DirectML.

Scaling On-Device GPU Inference for Large Generative Models Stable Diffusion Op- timization with DirectML

Reference 37

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Reference 38

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Reference 39

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Observation 96c5db1d-d03b-4196-b9ad-5167ee423445 · outbound

This paper cites NVIDIA Tensor Cores.

Scaling On-Device GPU Inference for Large Generative Models NVIDIA Tensor Cores

Reference 40

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Observation f4b38987-3aeb-4e27-a84d-b1d2b3938805 · outbound

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Scaling On-Device GPU Inference for Large Generative Models TensorRT

Reference 41

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Reference 42

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This paper cites Efficient Memory Manage- ment for Deep Neural Net Inference.

Scaling On-Device GPU Inference for Large Generative Models Efficient Memory Manage- ment for Deep Neural Net Inference

Reference 43

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Observation c1f17b16-a16d-4582-99ac-55d254b36740 · outbound

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Scaling On-Device GPU Inference for Large Generative Models Snapdragon Neural Processing Engine SDK

Reference 44

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Observation cfda3ff7-68cc-4da5-914f-db7745bd842e · outbound

This paper cites QualComm AI Hub Llama-v3.2-3B-Chat.

Scaling On-Device GPU Inference for Large Generative Models QualComm AI Hub Llama-v3.2-3B-Chat

Reference 45

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Observation 5e70183f-a43b-4b95-81a6-02a97d5caadb · outbound

This paper cites World’s first on-device demonstration of Stable Diffusion on an Android phone.

Scaling On-Device GPU Inference for Large Generative Models World’s first on-device demonstration of Stable Diffusion on an Android phone

Reference 46

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Observation 9ed90683-f398-487f-a7d3-b88063eda807 · outbound

This paper cites Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, and Tianqi Chen.

Scaling On-Device GPU Inference for Large Generative Models Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, and Tianqi Chen

Reference 47

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Observation f547c7bc-5890-481e-b1d7-8b8c3decf77e · outbound

This paper cites XLA: Compiling Machine Learning for Peak Performance, 2020.

Scaling On-Device GPU Inference for Large Generative Models XLA: Compiling Machine Learning for Peak Performance, 2020

Reference 48

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Observation 10aef569-a863-4b62-a5e4-f42a03f003c5 · outbound

This paper cites Introducing Stable Diffusion 3.5.

Scaling On-Device GPU Inference for Large Generative Models Introducing Stable Diffusion 3.5

Reference 49

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Observation 7fa999f2-5162-44ad-a18e-57d302ee4093 · outbound

This paper cites Introducing torchchat: Accelerating Local LLM Inference on Laptop, Desktop and Mobile.

Scaling On-Device GPU Inference for Large Generative Models Introducing torchchat: Accelerating Local LLM Inference on Laptop, Desktop and Mobile

Reference 50

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Observation 8524c447-e6d9-4edc-9d07-816c3c206f37 · outbound

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Reference 51

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This paper cites Dawn, a WebGPU implemen- tation.

Scaling On-Device GPU Inference for Large Generative Models Dawn, a WebGPU implemen- tation

Reference 52

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Observation 050b6cd3-07d8-4802-aa26-7d3b9057637f · outbound

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Scaling On-Device GPU Inference for Large Generative Models Unresolved cited work

Reference 53

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Observation 3b55a910-0d4c-4677-8cf2-78534dd35c7e · outbound

This paper cites SmoothQuant: Accurate and Effi- cient Post-Training Quantization for Large Language Mod- els.

Scaling On-Device GPU Inference for Large Generative Models SmoothQuant: Accurate and Effi- cient Post-Training Quantization for Large Language Mod- els

Reference 54

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Observation 4ebfc85a-c516-44d0-8f83-2390397b2c97 · outbound

This paper cites an unresolved cited work.

Scaling On-Device GPU Inference for Large Generative Models Unresolved cited work

Reference 55

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This paper cites LLMCad: Fast and Scalable On-device Large Language Model Inference, 2023.

Scaling On-Device GPU Inference for Large Generative Models LLMCad: Fast and Scalable On-device Large Language Model Inference, 2023

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:31.632711Z

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Observation d73f38fa-cffa-4fa2-b165-fbec16e9cc78 · outbound

This paper cites Fast On-device LLM Inference with NPUs.

Scaling On-Device GPU Inference for Large Generative Models Fast On-device LLM Inference with NPUs

Reference 57

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Observation 339db099-dd19-46ef-be92-964ead0a53a3 · outbound

This paper cites PowerInfer-2: Fast Large Language Model Inference on a Smartphone.

Scaling On-Device GPU Inference for Large Generative Models PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Reference 58

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This paper cites Gonzalez, Clark Barrett, and Ying Sheng.

Scaling On-Device GPU Inference for Large Generative Models Gonzalez, Clark Barrett, and Ying Sheng

Reference 59

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Pith citing papers

Observation 035f8d65-6761-4107-896c-35502c5af71f · inbound

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions cites this paper.

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions Scaling On-Device GPU Inference for Large Generative Models

Reference 32

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