Paper Citation Record · LEDGER

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.12388.

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

pith.paper-citation-record.v1
2501.12388 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:01:00.925518Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99641678-73aa-4311-9b12-7c816773105d · outbound

This paper cites Cloud computing: issues and challenges,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Cloud computing: issues and challenges,

Reference 1

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Observation e68fecab-d21c-4865-abea-591d58fd36eb · outbound

This paper cites Dynamic adaptive dnn surgery for inference acceleration on the edge,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Dynamic adaptive dnn surgery for inference acceleration on the edge,

Reference 2

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This paper cites Dyno: Dynamic onloading of deep neural networks from cloud to device,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Dyno: Dynamic onloading of deep neural networks from cloud to device,

Reference 3

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Observation 492dc45b-c4c2-4d1a-a492-debb9d97a3a0 · outbound

This paper cites Cnnpc: End- edge-cloud collaborative cnn inference with joint model partition and compression,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Cnnpc: End- edge-cloud collaborative cnn inference with joint model partition and compression,

Reference 4

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Observation 62e77c9e-8812-42e4-9734-d127e37b2f69 · outbound

This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 5

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Observation b54c240d-2a06-4467-ae0f-6c9ba51d7b52 · outbound

This paper cites A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions,

Reference 6

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Observation d14959cf-5763-4633-b285-9d0034c686b8 · outbound

This paper cites Jalad: Joint accuracy-and latency-aware deep structure decoupling for edge-cloud execution,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Jalad: Joint accuracy-and latency-aware deep structure decoupling for edge-cloud execution,

Reference 7

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Observation 07db78f9-5a3c-4f24-89fe-1ac2eaab1e16 · outbound

This paper cites Finch: Enhancing federated learning with hierarchical neural architecture search,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Finch: Enhancing federated learning with hierarchical neural architecture search,

Reference 8

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Observation 7e237cff-fe84-4395-8308-e8fa0a20633a · outbound

This paper cites Zero bubble (almost) pipeline parallelism,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Zero bubble (almost) pipeline parallelism,

Reference 9

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Observation e43aca66-d588-4f47-9e1e-7cc43e1b2077 · outbound

This paper cites Optimizing job offloading schedule for collabora- tive dnn inference,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Optimizing job offloading schedule for collabora- tive dnn inference,

Reference 10

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Observation 429b16a2-d4d0-46ab-a7f5-5d4a882442cd · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 11

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Observation 99afcf5b-2186-4a35-9adc-18c2c0ad6dc9 · outbound

This paper cites Deep residual learning for image recognition,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Deep residual learning for image recognition,

Reference 12

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Observation 443b6f27-9188-4696-aebf-37bc61cb695a · outbound

This paper cites Edge-cloud polarization and collaboration: A comprehensive survey for ai,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Edge-cloud polarization and collaboration: A comprehensive survey for ai,

Reference 13

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Observation 9ff46e0f-1e03-44d7-8ab3-6352ba1d6ecb · outbound

This paper cites Edge intelligence: On-demand deep learning model co-inference with device-edge synergy,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Edge intelligence: On-demand deep learning model co-inference with device-edge synergy,

Reference 14

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Observation 6f76830a-ffed-484b-ab73-a5a8f72f8600 · outbound

This paper cites A Survey on Collaborative DNN Inference for Edge Intelligence.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization A Survey on Collaborative DNN Inference for Edge Intelligence

Reference 15

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Observation 62e5982c-f76f-43eb-a2df-48cbe28fc9a3 · outbound

This paper cites Auto-split: A general framework of collaborative edge-cloud ai,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Auto-split: A general framework of collaborative edge-cloud ai,

Reference 16

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Observation 6ec2e279-68e7-40ae-b6fe-e3ae101fc5b1 · outbound

This paper cites Throughput maxi- mization of delay-aware dnn inference in edge computing by exploring dnn model partitioning and inference parallelism,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Throughput maxi- mization of delay-aware dnn inference in edge computing by exploring dnn model partitioning and inference parallelism,

Reference 17

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Source-reported events for the cited work

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Observation 6d401cfd-b115-419a-aeb9-119d5b0a4387 · outbound

This paper cites Computation offloading scheduling for deep neural network inference in mobile computing,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Computation offloading scheduling for deep neural network inference in mobile computing,

Reference 18

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Observation 2e9a273b-a5ff-4aa5-9dd7-b3619c9644f7 · outbound

This paper cites Ionn: Incremental offloading of neural network computations from mobile devices to edge servers,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Ionn: Incremental offloading of neural network computations from mobile devices to edge servers,

Reference 19

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Observation 0fdf85a2-819e-40cf-839c-3f32758f9851 · outbound

This paper cites Ofpcnn: On-demand fine- grained partitioning for cnn inference acceleration in heterogeneous devices,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Ofpcnn: On-demand fine- grained partitioning for cnn inference acceleration in heterogeneous devices,

Reference 20

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Observation 5f2d5aa3-becf-4a84-b1d5-1cd623b432b4 · outbound

This paper cites Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,

Reference 21

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Observation f464c240-23d1-429a-bfee-7c3298ce0f5c · outbound

This paper cites Yoga: Adaptive layer-wise model aggregation for decentralized federated learning,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Yoga: Adaptive layer-wise model aggregation for decentralized federated learning,

Reference 22

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Observation a3ae39d3-d551-4419-88b2-ca948bf5c932 · outbound

This paper cites Improving device-edge cooperative inference of deep learning via 2-step pruning,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Improving device-edge cooperative inference of deep learning via 2-step pruning,

Reference 23

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Observation cdff339d-df96-473e-8813-96ec18e46963 · outbound

This paper cites Clio: Enabling automatic compilation of deep learning pipelines across iot and cloud,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Clio: Enabling automatic compilation of deep learning pipelines across iot and cloud,

Reference 24

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Observation 41b03cb1-f832-4cc0-8583-c52bc4df780e · outbound

This paper cites Spinn: synergistic progressive inference of neural networks over device and cloud,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Spinn: synergistic progressive inference of neural networks over device and cloud,

Reference 25

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Observation 062d84e1-c66e-49a2-8736-dc9ddde43a3e · outbound

This paper cites Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,

Reference 26

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This paper cites Boost- ing mobile cnn inference through semantic memory,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Boost- ing mobile cnn inference through semantic memory,

Reference 27

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Observation 25de814c-0194-4d2d-a25c-9e4b3bfd2280 · outbound

This paper cites Edge computing: Vision and challenges,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Edge computing: Vision and challenges,

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This paper cites Feder- ated learning with experience-driven model migration in heterogeneous edge networks,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Feder- ated learning with experience-driven model migration in heterogeneous edge networks,

Reference 29

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Observation f50f68f9-da54-4c06-9ed4-8af34868c222 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 30

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Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Imagenet classification with deep convolutional neural networks,

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Observation bd32f6bb-39ef-4b0a-af2e-89c9c7aed6b4 · outbound

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Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Visualizing data using t-sne

Reference 32

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This paper cites Collaborative intelligence: Challenges and opportunities,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Collaborative intelligence: Challenges and opportunities,

Reference 33

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Observation 3736f5b7-b9e8-4523-999e-2be624d7d39f · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 34

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Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Dichotomous systemic analysis,

Reference 35

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This paper cites Peaches: Personalized federated learning with neural architecture search in edge computing,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Peaches: Personalized federated learning with neural architecture search in edge computing,

Reference 36

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Observation d92c2d6f-105d-493d-a7d6-aa65df31da93 · outbound

This paper cites Ago: Boosting mobile ai infer- ence performance by removing constraints on graph optimization,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Ago: Boosting mobile ai infer- ence performance by removing constraints on graph optimization,

Reference 37

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Observation 553782aa-0b69-4044-9163-f6200fb6d6f5 · outbound

This paper cites Dis- tributed inference acceleration with adaptive dnn partitioning and of- floading,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Dis- tributed inference acceleration with adaptive dnn partitioning and of- floading,

Reference 38

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Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Network In Network

Reference 39

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This paper cites Ferrari: A personalized federated learning framework for heterogeneous edge clients,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Ferrari: A personalized federated learning framework for heterogeneous edge clients,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:01:00.985850Z

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Observation c94de949-90f3-46e1-83c9-24bca97bb0bb · outbound

This paper cites Cosine similarity metric learning for face verification,.

Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization Cosine similarity metric learning for face verification,

Reference 41

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Pith citing papers

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