LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs | Paper Citation Record

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This paper cites A Survey of LLM Inference Systems.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A Survey of LLM Inference Systems

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A survey on evaluation of large language models,

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This paper cites Towards efficient generative large language model serving: A survey from algorithms to systems,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Towards efficient generative large language model serving: A survey from algorithms to systems,

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This paper cites Thunderserve: High-performance and cost-efficient llm serving in cloud environments,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Thunderserve: High-performance and cost-efficient llm serving in cloud environments,

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This paper cites Efficient memory management for large language model serving with page- dattention,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Efficient memory management for large language model serving with page- dattention,

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This paper cites Sglang: Efficient execution of structured language model pro- grams,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Sglang: Efficient execution of structured language model pro- grams,

Reference 6

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This paper cites Official document of tensorrt,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of tensorrt,

Reference 7

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This paper cites Official document of lmdeploy,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of lmdeploy,

Reference 8

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This paper cites Official document of flashinfer,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of flashinfer,

Reference 9

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This paper cites Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 10

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This paper cites Efficient Large Language Models: A Survey.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Efficient Large Language Models: A Survey

Reference 11

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Observation d6ffad8b-2c7e-4e33-997d-4f4dd601b778 · outbound

This paper cites A Survey of Resource-efficient LLM and Multimodal Foundation Models.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 12

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This paper cites Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding,

Reference 14

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Observation 689dfee7-f42a-425c-9be6-262a46233833 · outbound

This paper cites Model Compression and Efficient Inference for Large Language Models: A Survey.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Model Compression and Efficient Inference for Large Language Models: A Survey

Reference 15

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This paper cites A survey on model compression for large language models,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A survey on model compression for large language models,

Reference 16

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This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Reference 17

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This paper cites {Cost-Efficient}large language model serving for multi-turn conversations with{CachedAttention},.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs {Cost-Efficient}large language model serving for multi-turn conversations with{CachedAttention},

Reference 18

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This paper cites Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity

Reference 19

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This paper cites Evaluation of tools and frame- works for machine learning model serving,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Evaluation of tools and frame- works for machine learning model serving,

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This paper cites AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure

Reference 21

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This paper cites Majidi, M.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Majidi, M

Reference 22

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This paper cites What is artificial intelligence (ai)?.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs What is artificial intelligence (ai)?

Reference 23

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Unresolved cited work

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This paper cites Defining intelligence: Bridging the gap between human and artificial perspectives,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Defining intelligence: Bridging the gap between human and artificial perspectives,

Reference 25

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Generative ai,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Generative artificial intelligence,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs What is generative ai?

Reference 28

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This paper cites A Comprehensive Overview of Large Language Models.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A Comprehensive Overview of Large Language Models

Reference 29

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This paper cites What are large language models (llms)?.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs What are large language models (llms)?

Reference 30

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This paper cites Large language models meet nlp: A survey,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Large language models meet nlp: A survey,

Reference 31

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Large Language Models: A Survey

Reference 32

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A survey on multimodal large language models,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A survey of state of the art large vision language models: Benchmark evaluations and challenges,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Large language models in medical and healthcare fields: applications, advances, and challenges,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A Survey on Large Language Model-empowered Autonomous Driving

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This paper cites Actuarygpt: Applications of large language models to insurance and ac- tuarial work,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Actuarygpt: Applications of large language models to insurance and ac- tuarial work,

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This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

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This paper cites A Survey on Efficient Inference for Large Language Models.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A Survey on Efficient Inference for Large Language Models

Reference 40

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs An efficient model maintenance ap- proach for mlops,

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This paper cites Sprout: Green generative ai with carbon- efficient llm inference,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Sprout: Green generative ai with carbon- efficient llm inference,

Reference 42

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This paper cites Measuring and improving the energy effi- ciency of large language models inference,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Measuring and improving the energy effi- ciency of large language models inference,

Reference 43

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs An empirical study on the usage of au- tomated machine learning tools,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Github rest api,

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This paper cites Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering

Reference 48

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Bug character- ization in machine learning-based systems,

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Fault Localization in Deep Learning-based Software: A System-level Approach

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Bugs in machine learning- based systems: a faultload benchmark,

Reference 51

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of vllm,

Reference 52

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Abstract syntax tree,

Reference 53

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs About readmes,

Reference 54

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This paper cites Study the correlation between the readme file of github projects and their popularity,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Study the correlation between the readme file of github projects and their popularity,

Reference 55

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This paper cites Classifying your repository with topics,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Classifying your repository with topics,

Reference 56

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LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs (2026) Gpt-4o mini

Reference 57

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Observation 79e4948d-3af9-4534-8d71-b3071fcfc877 · outbound

This paper cites Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:55:57.024863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a2081d3-4ceb-4b47-8413-9f3f50fdafe4 · outbound

This paper cites Mining software reposito- ries for software architecture—a systematic mapping study,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Mining software reposito- ries for software architecture—a systematic mapping study,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.529568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c25d43a7-5d1c-461a-8638-3f6271a93321 · outbound

This paper cites Uncovering concerns of citizens through machine learning and social network sentiment analysis,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Uncovering concerns of citizens through machine learning and social network sentiment analysis,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.517971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c71447d-61ae-4520-aa30-57f746a34966 · outbound

This paper cites Prioritizing App Reviews for Developer Responses on Google Play.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Prioritizing App Reviews for Developer Responses on Google Play

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.580296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18d5f94-057a-402b-a738-920493e98e2f · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Sentence-bert: Sentence embeddings using siamese bert- networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.507735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d2d3e66-3bc5-484f-8375-8b3caf4bbee6 · outbound

This paper cites Llm-assisted topic reduction for bertopic on social media data,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Llm-assisted topic reduction for bertopic on social media data,

Reference 63

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:55:56.996567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e997147-2d58-4a1d-a749-2f409b2163b6 · outbound

This paper cites Security vulnerabilities in ai-generated code: A large-scale analysis of public github repositories,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Security vulnerabilities in ai-generated code: A large-scale analysis of public github repositories,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.496809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12360636-8f0d-4252-b93d-44bee94fc1ad · outbound

This paper cites An empirical study of blockchain repositories in github,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs An empirical study of blockchain repositories in github,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.485807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e873c3e-7d3b-48b4-9549-5509f6dcc8df · outbound

This paper cites Ray: A distributed framework for emerging{AI}applica- tions,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Ray: A distributed framework for emerging{AI}applica- tions,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.475711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43c24151-d9e2-48c4-8cd5-3711688439d1 · outbound

This paper cites Official document of openllm,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of openllm,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.465565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71fd8b85-737f-4d26-b777-051b3a015437 · outbound

This paper cites Official document of routellm,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of routellm,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.453789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2324a7b-271f-4bad-a74c-2bb86b68ba66 · outbound

This paper cites Official document of sglang,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of sglang,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.443311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03b5b94a-5d94-4b95-a877-8af975eef4d9 · outbound

This paper cites Official document of ray,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of ray,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.432118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9bad6075-9da0-4da4-b9e1-31b822136084 · outbound

This paper cites Official document of lightllm,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of lightllm,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.421356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a7c6662-97b8-41f3-ad7f-70b41ce76994 · outbound

This paper cites Official document of fastdeploy,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Official document of fastdeploy,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.411029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d926ca6-5db6-4c6f-9c7c-25a4960d64e8 · outbound

This paper cites Flashinfer: Efficient and customizable attention engine for llm inference serving,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Flashinfer: Efficient and customizable attention engine for llm inference serving,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.400858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87c72b18-1423-4970-92e9-e9b572cdfcb1 · outbound

This paper cites Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.631328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ca2c38-8a98-4558-a2ac-70554602d9cb · outbound

This paper cites A universal load balanc- ing principle and its application to large language model serving,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A universal load balanc- ing principle and its application to large language model serving,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.635306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d9493b-b3e0-48a0-b357-12967a5b239f · outbound

This paper cites Layerskip: Enabling early exit inference and self-speculative decoding,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Layerskip: Enabling early exit inference and self-speculative decoding,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.389994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a861287-9e5e-4a0f-9a27-43f70c7f2f76 · outbound

This paper cites Llm inference serving: Survey of recent advances and opportunities,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Llm inference serving: Survey of recent advances and opportunities,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.379657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 554022d7-55d5-4ee5-9109-d323309fb824 · outbound

This paper cites Efficiently scaling transformer inference,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Efficiently scaling transformer inference,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.646376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06070ec0-ff47-4d03-9eaa-e1f5f9863956 · outbound

This paper cites Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.649990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3d52ff8-0ba8-4744-8eb2-0dd4dc50c257 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Qlora: Efficient finetuning of quantized llms,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.653752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e830db-a1d9-4681-90f6-41d890492775 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs LoRA: Low-rank adaptation of large language models,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.356960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76375f0f-5095-4700-9843-426a27d14a46 · outbound

This paper cites A survey on lora of large language models,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A survey on lora of large language models,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.345808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 496a5b22-079e-4db8-86cd-4c02b61f12ed · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Retentive Network: A Successor to Transformer for Large Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.665126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3f2ae8-1e60-48f9-805c-417d72994f9e · outbound

This paper cites Rwkv: Reinventing rnns for the transformer era,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Rwkv: Reinventing rnns for the transformer era,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.668960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51364055-1a37-4d9b-9f29-044e4e139b1c · outbound

This paper cites Non-Autoregressive Neural Machine Translation.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Non-Autoregressive Neural Machine Translation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.672535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748413d1-95e3-4c70-b502-411f6d1d5367 · outbound

This paper cites Parallelism and scaling,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Parallelism and scaling,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.328674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 592c4a65-c676-44d9-8455-1b5b528f2304 · outbound

This paper cites Performance and tuning: Chunked prefill,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Performance and tuning: Chunked prefill,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.317920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed466b52-5300-4f47-ae7d-2fcb52c50d34 · outbound

This paper cites Quantization,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Quantization,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.307349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 283c8bc8-5eaf-4dc4-81d1-1184fef86652 · outbound

This paper cites Overview,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Overview,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.296897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6edda610-8161-4981-b982-74b05aad2510 · outbound

This paper cites Multi-head, multi-query, and group-query attention,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Multi-head, multi-query, and group-query attention,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.286012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a457f8ad-baad-483a-b778-486b1194f0f9 · outbound

This paper cites Parallelism in tensorrt llm,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Parallelism in tensorrt llm,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.274793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a9eeff6-34cc-454e-a3dd-428aa712d656 · outbound

This paper cites Quantization,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Quantization,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.263490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dace80fa-6d51-48a0-8e36-548887227b73 · outbound

This paper cites FlexGen: High-throughput generative inference of large language models with a single GPU,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs FlexGen: High-throughput generative inference of large language models with a single GPU,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.251723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73187ce2-58d1-417a-840e-3e7a7745b292 · outbound

This paper cites DISP-LLM: Dimension-independent structural pruning for large language models,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs DISP-LLM: Dimension-independent structural pruning for large language models,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.240861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a83e8c32-0a1b-4330-8389-015c3ff38218 · outbound

This paper cites Challenges in deploying machine learning: A survey of case studies,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Challenges in deploying machine learning: A survey of case studies,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.229967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 583995c2-ab6b-48c8-86de-041c811c935b · outbound

This paper cites A survey of machine learning in edge computing: Techniques, frameworks, applications, issues, and research directions,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A survey of machine learning in edge computing: Techniques, frameworks, applications, issues, and research directions,

Reference 96

Resolution: verified exact; doi, observed 2026-08-15T14:55:56.773616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ee668c2-3338-4fac-9708-332017d83d63 · outbound

This paper cites Post-Training Large Language Models via Reinforcement Learning from Self-Feedback.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.722273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5d1063-ebb3-4017-a5a0-6497f7720951 · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.726629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe3d2808-d092-423a-8882-fa0b635a7de0 · outbound

This paper cites Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.730544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff31554-cb92-4038-98a2-64061ab87ccc · outbound

This paper cites A study of llms’ preferences for libraries and programming languages,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs A study of llms’ preferences for libraries and programming languages,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.219332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 936fbff5-9ebc-410a-aabd-7b63b1fad746 · outbound

This paper cites The promises and perils of mining github,.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs The promises and perils of mining github,

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:55:57.208455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c301483-5469-4739-af58-26596bd809f9 · outbound

This paper cites Available: https://doi.org/10.1145/3533378.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Available: https://doi.org/10.1145/3533378

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T14:55:56.713551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers