TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications | Paper Citation Record

Observation 99928eec-c128-4ca8-a7f7-e2a13fd6493a · outbound

This paper cites https://github.c om/vllm-project/vllm, 2024.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications https://github.c om/vllm-project/vllm, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.848114Z

Source-reported events for the cited work

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Observation 395a7211-d1e2-4263-8129-2699c69bebc3 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2

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Observation 0aee1008-3364-4a96-970e-dc3bd3eb5095 · outbound

This paper cites Infercept: Efficient intercept support for augmented large language model inference.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Infercept: Efficient intercept support for augmented large language model inference

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.836564Z

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Observation dd836487-3e62-4897-addf-2675eafba803 · outbound

This paper cites GPT-4 Technical Report.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications GPT-4 Technical Report

Reference 4

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Observation 0b195bd6-3279-4460-9867-4f323721e703 · outbound

This paper cites Taming throughput-latency tradeoff in llm inference with sarathi-serve.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Taming throughput-latency tradeoff in llm inference with sarathi-serve

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.770990Z

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Observation aaf54535-a78c-4272-8ee4-e5826e64771a · outbound

This paper cites Utility accrual real-time scheduling under variable cost functions.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Utility accrual real-time scheduling under variable cost functions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.628700Z

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Observation 68f8db8f-3032-4d1c-94b5-b78888e8a17f · outbound

This paper cites An evaluation model for information distribution in multi-robot systems.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications An evaluation model for information distribution in multi-robot systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.602025Z

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Observation 0c40ae0f-dee3-443b-a33c-99f958cbf217 · outbound

This paper cites Language Models are Few-Shot Learners.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Language Models are Few-Shot Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.574581Z

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Observation 6960a155-4972-4932-84b3-85a834670797 · outbound

This paper cites Drone detection using depth maps.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Drone detection using depth maps

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.581382Z

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Observation 25888fd1-9ea5-4c5a-888d-b9a38d38729a · outbound

This paper cites TypeFly: Flying Drones with Large Language Model.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications TypeFly: Flying Drones with Large Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.608098Z

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Observation ecbe4b49-29e5-485f-a789-d190aa04502a · outbound

This paper cites A scheduling algorithm for tasks described by time value function.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications A scheduling algorithm for tasks described by time value function

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.563306Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b78ca992-48c8-4396-8f3a-d6d9c39cc375 · outbound

This paper cites Robots that can chat.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Robots that can chat

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.540107Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 585e45ac-466f-4b8a-a364-60eb64186d6d · outbound

This paper cites Number of parameters in gpt-4.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Number of parameters in gpt-4

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.487427Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e34ba0eb-10ed-4f8e-899d-8a047456c567 · outbound

This paper cites Transformers: State-of-the-art machine learning for pytorch, tensorflow, and jax.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Transformers: State-of-the-art machine learning for pytorch, tensorflow, and jax

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.311267Z

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Observation d8f2c8b7-6ac5-4b75-8ed5-fe8dedcd5281 · outbound

This paper cites Hierarchical Neural Story Generation.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Hierarchical Neural Story Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.627595Z

Source-reported events for the cited work

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Observation 55b13b88-5217-4d8a-abda-8393eeed75fa · outbound

This paper cites Figure + openai allow speech-to-speech reasoning over learned behaviors.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Figure + openai allow speech-to-speech reasoning over learned behaviors

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.216278Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3b5f765-da64-478d-b8b9-c2bb9a5cea34 · outbound

This paper cites Efficient LLM Scheduling by Learning to Rank.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Efficient LLM Scheduling by Learning to Rank

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.653256Z

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Observation 298ddeae-864a-4d2d-8a4d-261e569a04c3 · outbound

This paper cites Prompt cache: Modular attention reuse for low-latency inference.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Prompt cache: Modular attention reuse for low-latency inference

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.205256Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fac64749-c89e-4a29-bd29-5fc9c2ab5f2b · outbound

This paper cites GPT-4o System Card.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications GPT-4o System Card

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.724781Z

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Observation e9cff7bf-3c15-45fa-ae34-2beb8418754e · outbound

This paper cites A time- driven scheduling model for real-time operating systems.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications A time- driven scheduling model for real-time operating systems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.193263Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f3eee56-fbb5-466e-8458-7189026e0a0e · outbound

This paper cites Coedge: A co- operative edge system for distributed real-time deep learning tasks.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Coedge: A co- operative edge system for distributed real-time deep learning tasks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.177228Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43e01fc5-d675-465e-8e1a-1aee8c27e62e · outbound

This paper cites 𝑠3: Increasing gpu utilization during generative inference for higher throughput.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications 𝑠3: Increasing gpu utilization during generative inference for higher throughput

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.152609Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 081ecc48-058f-4754-bec5-312bd046c9dc · outbound

This paper cites An LLM Compiler for Parallel Function Calling.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications An LLM Compiler for Parallel Function Calling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.901003Z

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Observation a61c66f3-5dc1-4a5b-80ed-df7299dd09ad · outbound

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

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Gonzalez, Hao Zhang, and Ion Stoica

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.920252Z

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Observation f7ca6d68-ac17-4a0a-99a8-8a71c6413a0d · outbound

This paper cites Mobilegpt: Augment- ing llm with human-like app memory for mobile task automation.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Mobilegpt: Augment- ing llm with human-like app memory for mobile task automation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:27.086375Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d80e1ed3-e31d-4cde-b746-0f0259d84b23 · outbound

This paper cites A utility accrual scheduling algorithm for real-time activities with mu- tual exclusion resource constraints.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications A utility accrual scheduling algorithm for real-time activities with mu- tual exclusion resource constraints

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.964842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation efdb42c8-0623-4f44-a707-e0771553472d · outbound

This paper cites REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.944589Z

Source-reported events for the cited work

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Observation bba860fa-66d2-45b7-9009-ebedc2b0f11c · outbound

This paper cites An example real-time command, control, and battle management application for alpha.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications An example real-time command, control, and battle management application for alpha

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.836295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef50c6b3-049a-4522-83ac-d1f8bc0b38ed · outbound

This paper cites The llama 3 herd of models.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications The llama 3 herd of models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.801059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02d90645-8b53-4d0f-b5a8-bf00bbccae1f · outbound

This paper cites Meta ai assistant built with llama 3.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Meta ai assistant built with llama 3

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.775272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5418bd6-6ed8-4275-b3f2-0de38cf0fa48 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Introducing meta llama 3: The most capable openly available llm to date

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.753419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ccbaa84-3693-448d-8894-741444196932 · outbound

This paper cites Llama 2 70B: An MLPerf Inference Benchmark for Large Language Models.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Llama 2 70B: An MLPerf Inference Benchmark for Large Language Models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.710242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 074bf257-205d-43c6-bdd3-558442656e2b · outbound

This paper cites Neuromeka indy.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Neuromeka indy

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.701408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 618f1dc9-a2a8-404f-8278-1b85c5e60eda · outbound

This paper cites Tensorrt-llm.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Tensorrt-llm

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.691756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a4ba292-3887-4393-a8be-041c9c5012eb · outbound

This paper cites Exegpt: Constraint-aware resource scheduling for llm inference.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Exegpt: Constraint-aware resource scheduling for llm inference

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.680139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f07e6141-ba24-4158-ac85-9556aacde1cb · outbound

This paper cites Queue management for slo-oriented large language model serving.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Queue management for slo-oriented large language model serving

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:24.996442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666d98ee-ddb4-4c64-b8cf-15ec1c8ccdc6 · outbound

This paper cites Managing delays in human- robot interaction.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Managing delays in human- robot interaction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.656472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7071a7fe-a514-4ba6-814e-9397c9703e09 · outbound

This paper cites Efficiently scaling transformer inference.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Efficiently scaling transformer inference

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.606296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d407896f-c54b-482a-ba84-0ef671fcfe52 · outbound

This paper cites Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.029210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab2a5bf0-36ef-4fa8-a527-f71db3dd0f19 · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.074571Z

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Unavailable: canonical work link unavailable.

Observation 6f594cc3-1de5-4e98-b9f7-c7bd10736450 · outbound

This paper cites Ravindran, E.D.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Ravindran, E.D

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.518176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 03af85fc-1136-4001-bbfa-d85a3be6fcca · outbound

This paper cites Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.173656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcd4f3d-3dd5-4fce-932b-d824da396f10 · outbound

This paper cites Average reading speed.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Average reading speed

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.375375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 189564b4-3e4e-4b9d-a134-53cb414100ee · outbound

This paper cites Revenue-driven scheduling in drone delivery networks with time-sensitive service level agreements.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Revenue-driven scheduling in drone delivery networks with time-sensitive service level agreements

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.340384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68210787-0793-4d55-ab2e-a2d45652f3d9 · outbound

This paper cites Don't Stop Me Now: Embedding Based Scheduling for LLMs.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Don't Stop Me Now: Embedding Based Scheduling for LLMs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.260335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73add5c7-41bf-41dc-8441-e310f172f34b · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.270207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e64dd8-5970-4aa4-bd03-ae62b73acada · outbound

This paper cites Response time and display rate in human perfor- mance with computers.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Response time and display rate in human perfor- mance with computers

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.323463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8acdd9c5-ed87-4dd8-9d3b-06e3de664305 · outbound

This paper cites Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.285326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe17180-805a-4a5c-82c6-a64ab40bbcbd · outbound

This paper cites Tello sdk user guide, 2023.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Tello sdk user guide, 2023

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.305980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60cf42c0-46e3-4f84-a1da-c7457c6f731f · outbound

This paper cites Tidwell, R.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Tidwell, R

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.285433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 641bd73b-b0b4-4ce9-94f5-eb741e2e057b · outbound

This paper cites Optimizing expected time utility in cyber-physical systems schedulers.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Optimizing expected time utility in cyber-physical systems schedulers

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.254036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd6a5605-a431-4b60-969e-5fc87d3bc5bd · outbound

This paper cites Chatgpt for robotics: Design principles and model abilities.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Chatgpt for robotics: Design principles and model abilities

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.333152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfd1c4c5-107c-49e1-86eb-b704ad565627 · outbound

This paper cites LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.337040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62736ec-0002-4176-aa75-9fb2af639824 · outbound

This paper cites Autodroid: Llm-powered task automation in android.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Autodroid: Llm-powered task automation in android

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.209410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60f7203e-25b4-4c43-aed9-380f931f13e6 · outbound

This paper cites Time-utility function — Wikipedia, 2024.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Time-utility function — Wikipedia, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.174380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39ed668f-4302-4242-9041-26e49bacdcbf · outbound

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

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Fast Distributed Inference Serving for Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.427260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40058a5d-c392-4189-88e8-91c0bc70e301 · outbound

This paper cites Utility accrual scheduling under arbitrary time/utility functions and multi-unit resource constraints.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Utility accrual scheduling under arbitrary time/utility functions and multi-unit resource constraints

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:26.111952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb0dde80-536e-49f3-bd9d-6f46ab2a5349 · outbound

This paper cites Orca: A distributed serving system for {Transformer-Based} generative models.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Orca: A distributed serving system for {Transformer-Based} generative models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.499266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd46fec-4422-40e8-a7a5-12061308528c · outbound

This paper cites {SHEPHERD}: Serving{DNNs} in the wild.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications {SHEPHERD}: Serving{DNNs} in the wild

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:25.994566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b4a0efb-aace-4fd7-bd4b-de69f139f743 · outbound

This paper cites Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:25.558727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63756280-cb92-4452-b8d8-8f7b72a0b5fc · outbound

This paper cites Response length perception and sequence scheduling: An llm-empowered llm inference pipeline.Advances in Neural Information Processing Systems, 36, 2024.

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications Response length perception and sequence scheduling: An llm-empowered llm inference pipeline.Advances in Neural Information Processing Systems, 36, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:38:25.932349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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