Paper Citation Record · LEDGER

Topology-aware Preemptive Scheduling for Co-located LLM Workloads

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.11560.

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

pith.paper-citation-record.v1
2411.11560 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:28:01.641782Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy31
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f64c548-f65d-4eba-b4dd-645c130c0fbc · outbound

This paper cites A survey on large language models: Applications, challenges, limitations, and practical usage.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads A survey on large language models: Applications, challenges, limitations, and practical usage

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.428717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3303931-8436-4e1c-b87e-27fcafcf2e7a · outbound

This paper cites Efficient Training of Large Language Models on Distributed Infrastructures: A Survey.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.433698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation decb8d3c-e512-4ab7-a628-a57eb2b26359 · outbound

This paper cites BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.438721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1838389c-2088-4752-ae94-a643ce2ca9f1 · outbound

This paper cites Gödel: Unified large-scale resource management and scheduling at bytedance.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Gödel: Unified large-scale resource management and scheduling at bytedance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.306668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 686d5a79-898d-46f3-9724-e2a7a3495913 · outbound

This paper cites Topology-aware gpu scheduling for learning workloads in cloud environments.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Topology-aware gpu scheduling for learning workloads in cloud environments

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.291237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb7af90d-5efa-4522-b89b-27aadcf7a300 · outbound

This paper cites Numa (non-uniform memory access): An overview: Numa becomes more common because memory controllers get close to execution units on microprocessors.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Numa (non-uniform memory access): An overview: Numa becomes more common because memory controllers get close to execution units on microprocessors

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.275245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2a87714-bfe2-4b13-bb56-e6dce973d287 · outbound

This paper cites M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.457638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b274c18f-8aa3-4049-8c3b-ef85184042f6 · outbound

This paper cites Fastertransformer.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Fastertransformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.261255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d72f1f46-7198-4ed8-b7e6-929dac152349 · outbound

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

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Efficient memory management for large language model serving with pagedattention

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.466924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8059a009-b02e-4a5e-90ab-5b5462e55ffc · outbound

This paper cites an unresolved cited work.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:28:02.236920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55bbb4f4-33c7-4400-9a72-8dedbf17fc3d · outbound

This paper cites Huggingface text generation inference.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Huggingface text generation inference

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.223059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cf4ed1a-5c32-4f90-8fc4-6828229232e4 · outbound

This paper cites Deepspeed inference.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Deepspeed inference

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.206174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 24929857-98da-480d-bb69-5d8d84af3978 · outbound

This paper cites Tensorrt-llm.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Tensorrt-llm

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.187894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c33301c8-4278-4565-8476-81bae1b4adad · outbound

This paper cites Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.491752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e1fa7c-29a6-48ae-8bf0-d7501de9fdf6 · outbound

This paper cites Kubernetes topology manager moves to beta.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Kubernetes topology manager moves to beta

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.170281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a4273a1-70b4-4d0e-a9fb-d136a6eafbe2 · outbound

This paper cites Pod priority and preemption.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Pod priority and preemption

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.151560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56641ff5-55ad-4d69-a0ed-47f142ee90b4 · outbound

This paper cites Godel scheduler: a unified scheduler for online and offline tasks.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Godel scheduler: a unified scheduler for online and offline tasks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.132252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65743995-cd8e-4356-bc95-b0d38e2e1028 · outbound

This paper cites Daemonset.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Daemonset

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.112382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38571f2a-df86-4258-95d3-9677b53151bd · outbound

This paper cites Kubernetes without kubelet.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Kubernetes without kubelet

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.092846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60eb0db1-4c97-4a32-ab61-2449af02ad9f · outbound

This paper cites Control topology management policies on a node.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Control topology management policies on a node

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.076029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88a88c86-aed8-4e04-8cf0-847c994707ee · outbound

This paper cites Towards {GPU} utilization prediction for cloud deep learning.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Towards {GPU} utilization prediction for cloud deep learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.060218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1a8bceb-c2a4-40f6-8530-0d45e9a5ee3f · outbound

This paper cites Horus: Interference-aware and prediction-based scheduling in deep learning systems.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Horus: Interference-aware and prediction-based scheduling in deep learning systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.046202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 925f7790-266f-4f84-b56e-a683690cf4c0 · outbound

This paper cites Beware of fragmentation: Scheduling {GPU-Sharing} workloads with fragmentation gradient descent.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Beware of fragmentation: Scheduling {GPU-Sharing} workloads with fragmentation gradient descent

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.031649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b9e132b9-40af-44c1-bf05-587c08e6e83b · outbound

This paper cites {HiveD}: Sharing a {GPU} cluster for deep learning with guarantees.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads {HiveD}: Sharing a {GPU} cluster for deep learning with guarantees

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.016593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a71a4c0e-220e-4f0c-b4f4-ff8a56479a6f · outbound

This paper cites Supporting gpu sharing in cloud environments with a transparent runtime consolidation framework.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Supporting gpu sharing in cloud environments with a transparent runtime consolidation framework

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:02.001582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 748ddaea-6be4-49c5-ac6c-c15e16774fd0 · outbound

This paper cites Fine-grained gpu sharing primitives for deep learning applications.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Fine-grained gpu sharing primitives for deep learning applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.987696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8223a453-87fd-43c1-93e8-110117107960 · outbound

This paper cites Gpushare: Fair-sharing middleware for gpu clouds.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Gpushare: Fair-sharing middleware for gpu clouds

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.973274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4506a771-c34a-4ba0-9258-99d951452b22 · outbound

This paper cites Nvidia cloud native technologies: Gpu sharing.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Nvidia cloud native technologies: Gpu sharing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.959345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c09c855-110c-49b5-b9a1-3475a4e1f3c7 · outbound

This paper cites Advanced features in ibm power8 systems.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Advanced features in ibm power8 systems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.945397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fb6f2b0-c3d3-45af-a511-191befec4d7f · outbound

This paper cites Performance evaluation of the nvidia tesla p100: Our directive-based partitioning and pipelining vs.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Performance evaluation of the nvidia tesla p100: Our directive-based partitioning and pipelining vs

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.931958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation deeb195f-5236-4900-8171-18ad8d71598f · outbound

This paper cites Topology-aware scheduling framework for microservice applications in cloud.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Topology-aware scheduling framework for microservice applications in cloud

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.917790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbf852d4-d6ba-44a7-a2ef-b31305b0d091 · outbound

This paper cites Katalyst core.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Katalyst core

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.901739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93263d25-13c5-437c-9a69-5016325fcf88 · outbound

This paper cites Topology-aware resource allocation for data-intensive workloads.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Topology-aware resource allocation for data-intensive workloads

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.884085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f4c2c72-2123-4979-afa7-c94df6b035d9 · outbound

This paper cites Towards topology aware pre-emptive job scheduling with deep reinforcement learning.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Towards topology aware pre-emptive job scheduling with deep reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.865992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 792f1e0a-0f86-4e97-a7ec-91a733a6150d · outbound

This paper cites Microsecond-scale preemption for concurrent {GPU- accelerated}{DNN} inferences.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Microsecond-scale preemption for concurrent {GPU- accelerated}{DNN} inferences

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.849163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc0d2b9d-a5d2-457a-9492-ffaf42566c25 · outbound

This paper cites Efficiently programming large language models using sglang.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Efficiently programming large language models using sglang

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.830860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d548ec38-5922-4dd3-826e-3af1d996ebbd · outbound

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

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Orca: A distributed serving system for {Transformer-Based} generative models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.614459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff1a8a3-098a-48de-9bd6-1c601afba6c4 · outbound

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

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Fast Distributed Inference Serving for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.620434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 799a9f9b-e866-443b-a8f8-1e266cf3c4c9 · outbound

This paper cites Bert loses patience: Fast and robust inference with early exit.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Bert loses patience: Fast and robust inference with early exit

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.801769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ef5b5fb-8604-47f4-9f99-e25ed9042c7d · outbound

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

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.631009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a7f4e6-21d2-45c6-bc1d-78087adeda08 · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Sparsegpt: Massive language models can be accurately pruned in one-shot

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:01.636569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 563b8ecf-5b3a-47ba-af67-92051c370136 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.763314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.