Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda | Paper Citation Record

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This paper cites In: Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In: Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation

Reference 1

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Observation cb4b2a59-1731-492c-8188-b74ba53c7337 · outbound

This paper cites Cloud container technologies: a state-of-the-art review.IEEE Transactions on Cloud Computing.2017;7(3):677–692.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Cloud container technologies: a state-of-the-art review.IEEE Transactions on Cloud Computing.2017;7(3):677–692

Reference 2

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Observation 87d57ad5-9bb0-4aa3-b1f4-e7e99f4f2c17 · outbound

This paper cites Attention is all you need.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Attention is all you need

Reference 3

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Observation cfbd3ce2-6896-4075-b0a1-30ca5b82bf50 · outbound

This paper cites Scaling Laws for Neural Language Models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Scaling Laws for Neural Language Models

Reference 4

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Observation 921ccf4f-c350-484b-8d0b-9fc327f4461e · outbound

This paper cites Deep learning.Nature.2015;521(7553):436–444.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Deep learning.Nature.2015;521(7553):436–444

Reference 5

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Observation 42cc0610-3505-46a8-94f3-434d6cea221d · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 6

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Observation a4c780b8-a6aa-4ea1-9cde-96d2911ed3d5 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.; 2020.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.; 2020

Reference 7

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Observation e4414f9a-de00-4c4a-8ab8-d5105e610d3c · outbound

This paper cites Curran Associates, Inc.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Curran Associates, Inc

Reference 8

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Observation edd5c27a-92dd-4792-8e0c-2ec5752cc93f · outbound

This paper cites Deepspeed-inference: enabling efficient inference of transformer models at unprecedented scale.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Deepspeed-inference: enabling efficient inference of transformer models at unprecedented scale

Reference 9

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Observation 7d1ee9dd-94c6-4734-a7a8-0f3a543aff82 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 10

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Observation abbd93f5-bdde-4ef1-86ff-452886a8afc1 · outbound

This paper cites Towards end-to-end optimization of llm-based applications with ayo.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Towards end-to-end optimization of llm-based applications with ayo

Reference 11

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Observation 191292db-c5f5-46bb-a001-ca180fef44a1 · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In-datacenter performance analysis of a tensor processing unit

Reference 12

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Observation 71e6585a-b4c3-484f-8bc6-464319c0caf5 · outbound

This paper cites Alpa: Automating Inter-and Intra-Operator Parallelism for Distributed Deep Learning.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Alpa: Automating Inter-and Intra-Operator Parallelism for Distributed Deep Learning

Reference 13

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Observation 76f87055-c3fd-41ea-8f8c-b79c8a5a175f · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Efficient memory management for large language model serving with pagedattention

Reference 14

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Observation 00b1b090-037b-4b7b-a68e-63993c042d0b · outbound

This paper cites Open issues in scheduling microservices in the cloud.IEEE Cloud Computing.2016;3(5):81–88.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Open issues in scheduling microservices in the cloud.IEEE Cloud Computing.2016;3(5):81–88

Reference 15

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Observation c6832a14-856f-4a83-8538-6dd4db7e69ee · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 16

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Observation 04b02cac-0fc8-495f-88f3-a0b7207abf99 · outbound

This paper cites Flexgen: High-throughput generative inference of large language models with a single gpu.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Flexgen: High-throughput generative inference of large language models with a single gpu

Reference 17

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Observation 31c66a56-e34f-4b51-9dca-7a324c2a4559 · outbound

This paper cites In: Proceedings of the 16th USENIX symposium on operating systems design and implementation.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In: Proceedings of the 16th USENIX symposium on operating systems design and implementation

Reference 18

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Observation 7592b4d9-ee42-4e58-99f8-b94283ad7729 · outbound

This paper cites Evaluation and benchmarking of llm agents: A survey.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Evaluation and benchmarking of llm agents: A survey

Reference 19

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Observation f62d3047-60a2-4612-a197-c53594eb37af · outbound

This paper cites Towards High-Goodput LLM Serving with Prefill-decode Multiplexing.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Towards High-Goodput LLM Serving with Prefill-decode Multiplexing

Reference 20

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Observation d0dcb709-9ef9-4b4f-8ceb-a3b11b8cbe72 · outbound

This paper cites Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents

Reference 21

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Observation 7de80109-f300-4869-8291-f4851a0591e6 · outbound

This paper cites Process modeling in web applications.ACM Transactions on Software Engineering and Methodology.2006;15(4):360–409.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Process modeling in web applications.ACM Transactions on Software Engineering and Methodology.2006;15(4):360–409

Reference 22

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Observation 674efc27-9095-43ba-8783-20e44dd606c0 · outbound

This paper cites Challenges in deployment and configuration management in cyber physical system.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Challenges in deployment and configuration management in cyber physical system

Reference 23

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Observation 3e8760e8-7ba6-4e9a-989d-1cdc00472b7d · outbound

This paper cites Parallel processing systems for big data: a survey.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Parallel processing systems for big data: a survey

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Observation 87b97a7f-290d-432b-9472-6b79a89b36a8 · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 25

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Observation 3266407b-5c1d-4cd9-a523-4b9831d03494 · outbound

This paper cites Deep learning workload scheduling in gpu datacenters: A survey.ACM Computing Surveys.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Deep learning workload scheduling in gpu datacenters: A survey.ACM Computing Surveys

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Observation c5b06068-db71-42aa-a74e-63855aa317e8 · outbound

This paper cites StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications.ACM Trans.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications.ACM Trans

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Observation aee1276b-26da-4cb1-9be2-40515646f7fe · outbound

This paper cites LLM Inference Scheduling: A Survey of Techniques, Frameworks, and Trade-offs.Authorea Preprints.2025.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda LLM Inference Scheduling: A Survey of Techniques, Frameworks, and Trade-offs.Authorea Preprints.2025

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Observation 9ed6541f-855a-4c8a-ad05-0de53dbfd62c · outbound

This paper cites Cloud Native System for LLM Inference Serving.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Cloud Native System for LLM Inference Serving

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.777592Z

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Observation c6219f06-6e3a-45c4-bb18-ba43623f8455 · outbound

This paper cites {NanoFlow}:Towardsoptimallargelanguagemodelservingthroughput.In:Proceedingsof the 19th USENIX Symposium on Operating Systems Design and Implementation.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda {NanoFlow}:Towardsoptimallargelanguagemodelservingthroughput.In:Proceedingsof the 19th USENIX Symposium on Operating Systems Design and Implementation

Reference 30

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Observation 8a1a0b92-22c1-45d6-9c25-9a4134562f43 · outbound

This paper cites Flashinfer: Efficient and customizable attention engine for llm inference serving.Proceedings of Machine Learning and Systems.2025;7.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Flashinfer: Efficient and customizable attention engine for llm inference serving.Proceedings of Machine Learning and Systems.2025;7

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Observation b70ee6af-dddb-4229-9208-ca4bc3086d6c · outbound

This paper cites 2025:446–461.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda 2025:446–461

Reference 32

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Observation a32948a6-e47b-4542-8725-c4ae40f46be8 · outbound

This paper cites throttll’em: Predictive gpu throttling for energy effi- cient llm inference serving.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda throttll’em: Predictive gpu throttling for energy effi- cient llm inference serving

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Observation 136e5946-975c-43d6-948e-22a5ef67db2d · outbound

This paper cites Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

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Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.807812Z

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Observation 3f61e7be-90b1-4fc5-a2e0-3b76f985d0dc · outbound

This paper cites Extracting training data from large language models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Extracting training data from large language models

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Observation 52b95004-ad1a-4f20-b241-b1c70af874c5 · outbound

This paper cites Quantifying memorization across neural language models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Quantifying memorization across neural language models

Reference 36

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Observation 0d4861b5-39cc-417a-9dce-1fd76660fbb7 · outbound

This paper cites Deep learning with differential privacy.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Deep learning with differential privacy

Reference 37

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Observation 79988a33-79ae-4a19-802b-1b733f770298 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Communication-efficient learning of deep networks from decentralized data

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.253289Z

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Observation 9fb2a544-f8fc-4640-8e94-99a86ad8a14a · outbound

This paper cites Oblivious {Multi-Party} machine learning on trusted processors.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Oblivious {Multi-Party} machine learning on trusted processors

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.266586Z

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Observation 84cbbcb9-0f0e-4a32-858f-d4609f09995c · outbound

This paper cites Not what you’ve signed up for: Compromising real- world llm-integrated applications with indirect prompt injection.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Not what you’ve signed up for: Compromising real- world llm-integrated applications with indirect prompt injection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.289684Z

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Observation b7f52107-b027-4e1e-90c6-7726ee0fbdc8 · outbound

This paper cites Stealing machine learning models via prediction APIs.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Stealing machine learning models via prediction APIs

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.334407Z

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Observation 3897ff2d-81d3-4c5b-a502-d1e187ecc349 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Universal and Transferable Adversarial Attacks on Aligned Language Models

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Resolution: verified exact; local_arxiv, observed 2026-05-10T06:31:30.831485Z

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Observation 867c3056-3558-43b0-9978-e4746d394dbf · outbound

This paper cites ACMComputingSurveys.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda ACMComputingSurveys

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.277744Z

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Observation 483a2e16-488a-47b8-a178-8cebbb345a8d · outbound

This paper cites IEEEInternet of Things Journal.2022;9(11):8364–8386.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda IEEEInternet of Things Journal.2022;9(11):8364–8386

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.261925Z

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Observation d42d3bd2-9270-46c3-acf1-06fc45c39d89 · outbound

This paper cites Spatial big data architecture: from data warehouses and data lakes to the Lakehouse.Journal of Parallel and Distributed Computing.2023;176:70–79.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Spatial big data architecture: from data warehouses and data lakes to the Lakehouse.Journal of Parallel and Distributed Computing.2023;176:70–79

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.306573Z

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Observation feaab007-1c53-4b10-aeed-098ea0d3f8c6 · outbound

This paper cites IEEETransactionsonKnowledgeand Data Engineering.2023;35(12):12571–12590.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda IEEETransactionsonKnowledgeand Data Engineering.2023;35(12):12571–12590

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.861097Z

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Observation 90ed30bf-8d6e-483d-9703-f031ef266de1 · outbound

This paper cites Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

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Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.820771Z

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Observation 56a3e7f3-5af7-45b2-890e-e365d97dc068 · outbound

This paper cites Computational cxl-memory solution for accelerating memory-intensive applications.IEEE Computer Architecture Letters.2022;22(1):5–8.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Computational cxl-memory solution for accelerating memory-intensive applications.IEEE Computer Architecture Letters.2022;22(1):5–8

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.243986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 39e63fcf-045e-4efd-83d7-d7d1c1292230 · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:34:17.298169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a28dbc49-7171-4db8-b8d2-9f37d0ef3ead · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-10T06:31:30.817937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 139a995e-2eeb-4bd5-859c-619552c03f31 · outbound

This paper cites New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.368750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f894ca1-b279-46c6-a7cd-50a60b4ee277 · outbound

This paper cites Unleash llms potential for sequential recommendation by coordinating dual dynamic index mechanism.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unleash llms potential for sequential recommendation by coordinating dual dynamic index mechanism

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.358378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a4194cc-fc9f-4b09-be6f-094e7a7c59d4 · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:34:17.268661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ddf85f7-28e1-48f3-baad-46b027d7885f · outbound

This paper cites A Generative Caching System for Large Language Models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda A Generative Caching System for Large Language Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.823360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e54daba5-3418-4a40-b476-013c1f153ae3 · outbound

This paper cites Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.834032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 95e1ea6d-628d-4f72-81cb-e5e5314f365b · outbound

This paper cites In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.314502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a6e6b58-1395-41da-809e-8aa2ee6b3b5a · outbound

This paper cites 2023:189–201.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda 2023:189–201

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.950777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cda81a75-03f0-4941-9fff-fc5a3bcba3a8 · outbound

This paper cites Packt Publishing Ltd.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Packt Publishing Ltd

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.844474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5acdf7b7-5833-4142-93cd-19bb6cea4ad3 · outbound

This paper cites Llm-pilot: Characterize and optimize performance of your llm inference services.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Llm-pilot: Characterize and optimize performance of your llm inference services

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.364636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c10931d-66ce-424e-9566-8d6835130bad · outbound

This paper cites How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.849607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a560c185-448e-4cc3-bbb9-8a339d009fe9 · outbound

This paper cites A survey on federated fine-tuning of large language models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda A survey on federated fine-tuning of large language models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.873235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d9bde166-b12b-4be7-b4bb-c6e04bb594d3 · outbound

This paper cites IEEE Transactions on Computers.2026;75(4):1636-1649.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda IEEE Transactions on Computers.2026;75(4):1636-1649

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.363657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 470a91df-ce65-4816-aec1-95220eeb9386 · outbound

This paper cites 2026 , issn =.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda 2026 , issn =

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.366337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4cdca6a3-738d-4eb3-b33a-e108ece95454 · outbound

This paper cites ShuffleInfer: Disaggregate LLM inference for mixed downstream workloads.ACM Transactions on Architecture and Code Optimization.2025;22(2):1–24.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda ShuffleInfer: Disaggregate LLM inference for mixed downstream workloads.ACM Transactions on Architecture and Code Optimization.2025;22(2):1–24

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:35:22.378027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b8d8b10-2c56-495d-b1c0-603b5941ac09 · outbound

This paper cites Splitwise: Efficient generative LLM inference using phase splitting.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Splitwise: Efficient generative LLM inference using phase splitting

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.374709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c02a5c08-c33e-4da5-b4cf-530662a421fc · outbound

This paper cites Fast Distributed Inference Serving for Large Language Models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Fast Distributed Inference Serving for Large Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-17T11:23:46.844514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf870d12-d482-4314-8454-4d57614fcc5a · outbound

This paper cites Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.854890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e2d305a-eb41-4beb-b51b-bc43a6fd9001 · outbound

This paper cites TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity.arXiv preprint arXiv:2512.03416.2025.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity.arXiv preprint arXiv:2512.03416.2025

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.847190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ebbb320-0c7b-4aa0-9864-c55af95745a8 · outbound

This paper cites LoongServe: Efficiently serving long-context large language models with elastic sequence parallelism.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda LoongServe: Efficiently serving long-context large language models with elastic sequence parallelism

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.958636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6c720b1a-abd1-4dfe-bb2a-3d0af8021e15 · outbound

This paper cites dLoRA: Dynamically orchestrating requests and adapters for LoRA LLM serving.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda dLoRA: Dynamically orchestrating requests and adapters for LoRA LLM serving

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.956536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 07cb87e2-5ea5-4db6-9d49-76b258da44c6 · outbound

This paper cites MegaScale-Infer: Efficient mixture-of-experts model serving with disaggregated expert parallelism.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda MegaScale-Infer: Efficient mixture-of-experts model serving with disaggregated expert parallelism

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.831402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6f1961f-65db-4611-baea-e25520c1d722 · outbound

This paper cites Punica: Multi-tenant LoRA serving.Proceedings of Machine Learning and Systems.2024;6:1–13.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Punica: Multi-tenant LoRA serving.Proceedings of Machine Learning and Systems.2024;6:1–13

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.970694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 252ce8d0-2450-4d20-ab5a-a1d0bc76e187 · outbound

This paper cites AlpaServe: Statistical multiplexing with model parallelism for deep learning serving.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda AlpaServe: Statistical multiplexing with model parallelism for deep learning serving

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.823625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89e93491-6fd0-4de9-9676-507bdd68670d · outbound

This paper cites Niyama : Breaking the Silos of LLM Inference Serving.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Niyama : Breaking the Silos of LLM Inference Serving

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.826535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b768dfc0-cc88-4817-ac1e-a89250b66ff3 · outbound

This paper cites BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Dis- aggregated LLM Serving in AI Infrastructure.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Dis- aggregated LLM Serving in AI Infrastructure

Reference 75

Resolution: verified exact; doi, observed 2026-05-10T06:31:30.371034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d9e69d42-00ab-4fce-92f1-1ebd1daf33cd · outbound

This paper cites DynamoLLM: Designing LLM Inference Clusters for Perfor- manceandEnergyEfficiency.In:Proceedingsofthe2025IEEEInternationalSymposiumonHighPerformanceComputer Architecture.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda DynamoLLM: Designing LLM Inference Clusters for Perfor- manceandEnergyEfficiency.In:Proceedingsofthe2025IEEEInternationalSymposiumonHighPerformanceComputer Architecture

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.372914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b769b3bd-5ab1-4d73-b565-4ea4b0e547f8 · outbound

This paper cites 2024:207–222.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda 2024:207–222

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.833945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 34368300-537d-4d58-9c1d-09b685e1df89 · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In: Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.854056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e021acf-ec94-43f0-ad98-bddc56040aaa · outbound

This paper cites AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.784210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48d79405-9708-478b-8961-ebd6a4bdf4a2 · outbound

This paper cites Fairness in serving large language models.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Fairness in serving large language models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.889999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4db4c170-dc7f-4925-9d9c-198787d691ab · outbound

This paper cites DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters.IEEE Transactions on Services Computing.2024;17(6):3473-3484.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters.IEEE Transactions on Services Computing.2024;17(6):3473-3484

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.369104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f59ea1a-7706-4412-8db4-9cf016b23707 · outbound

This paper cites In: Proceedings of the 2023 USENIX Annual Technical Conference.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In: Proceedings of the 2023 USENIX Annual Technical Conference

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.980492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0855d5e9-181c-4cf3-b976-b5aa139b186d · outbound

This paper cites 2024:929–945.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda 2024:929–945

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:35:22.386322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6b3a9a2-364a-4b87-a085-8f8509fef4a1 · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:35:22.388478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80a2d610-850d-461a-b19e-f84086bd8d0a · outbound

This paper cites In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.994671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fa266403-5627-4fff-a767-dca513225439 · outbound

This paper cites USENIX Association 2024; Santa Clara, CA:135–153.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda USENIX Association 2024; Santa Clara, CA:135–153

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.997301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1edc71a-d655-4c6e-a2bd-beff4a77fe74 · outbound

This paper cites TAPAS: Thermal-and power-aware scheduling for LLM inference in cloud platforms.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda TAPAS: Thermal-and power-aware scheduling for LLM inference in cloud platforms

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:35:22.384097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 26b0ea8f-3cbd-4e8c-a4c6-80e7b21ac568 · outbound

This paper cites throttLL’eM: Predictive GPU Throttling for Energy Effi- cientLLMInferenceServing.In:Proceedingsofthe2025IEEEInternationalSymposiumonHighPerformanceComputer Architecture.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda throttLL’eM: Predictive GPU Throttling for Energy Effi- cientLLMInferenceServing.In:Proceedingsofthe2025IEEEInternationalSymposiumonHighPerformanceComputer Architecture

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:35:22.381085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b59494f5-6e33-4c66-a087-a3e4edb67882 · outbound

This paper cites Medusa: Accelerating Serverless LLM Inference with Materialization.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Medusa: Accelerating Serverless LLM Inference with Materialization

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.828861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 54a4aea7-0576-4baa-b0db-10a051ecd40c · outbound

This paper cites BlitzScale: Fast and Live Large Model Autoscaling with O (1) Host Caching.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda BlitzScale: Fast and Live Large Model Autoscaling with O (1) Host Caching

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.836715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04ae0b47-ae62-40d0-b1e8-1a3e30cfa5e5 · outbound

This paper cites 2025:415–430.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda 2025:415–430

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.952789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72bfd0a9-e6db-497c-a0ff-9edcd31fa148 · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:34:16.965952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c6c0afc-6793-4665-89fe-b29eadc0bca2 · outbound

This paper cites FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.946047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a152618-5713-4a2f-8ee9-7e371ce6e873 · outbound

This paper cites A survey on hardware accelerators for large language models.Applied Sciences.2025;15(2):586.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda A survey on hardware accelerators for large language models.Applied Sciences.2025;15(2):586

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.984399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f49a0d9-8768-41c1-a0af-0ce3f0c5d290 · outbound

This paper cites Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.829116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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This paper cites Efficient Large Language Models: A Survey.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Efficient Large Language Models: A Survey

Reference 96

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1402783-282e-4a23-b33e-67340aeed24a · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:34:17.393500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5152f1ce-90b0-4831-8771-e6593bd6f7a3 · outbound

This paper cites an unresolved cited work.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Unresolved cited work

Reference 98

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Source-reported events for the cited work

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Observation e806a45e-cdc7-457f-a409-f22f2c480eb0 · outbound

This paper cites LLM-based cost-aware task scheduling for cloud computing systems.Journal of Cloud Computing.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda LLM-based cost-aware task scheduling for cloud computing systems.Journal of Cloud Computing

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:16.943139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32bdcac2-74ec-4c92-80f4-a718d4355b33 · outbound

This paper cites Green scheduling for LLM workloads with model and data reuse across geo-distributed data centers.Digital Communications and Networks.2025.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Green scheduling for LLM workloads with model and data reuse across geo-distributed data centers.Digital Communications and Networks.2025

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:34:17.388523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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