Paper Citation Record · LEDGER

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.09175.

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

pith.paper-citation-record.v1
2606.09175 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T17:22:45.464477Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

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External citation measurements

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Outbound references

Observation ed2cc090-077c-46bf-9a99-508146c8e0e9 · outbound

This paper cites Cloud versus edge deployment strategies of real-time face recognition inference,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Cloud versus edge deployment strategies of real-time face recognition inference,

Reference 1

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Observation 68b8f2c4-2501-4cc4-bcef-5a5c66e27c9b · outbound

This paper cites Edge video analytics: A survey on applications, systems and enabling techniques,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Edge video analytics: A survey on applications, systems and enabling techniques,

Reference 2

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Observation 7aa90394-ea92-4152-bd74-ac74d2a65897 · outbound

This paper cites Survey on virtual assistant: Google assistant, siri, cortana, alexa,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Survey on virtual assistant: Google assistant, siri, cortana, alexa,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T17:22:45.464477Z

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Observation 193ee1d7-6761-4e00-8ad4-5809ba75219a · outbound

This paper cites Dynamic computation offloading for mobile-edge computing with energy harvesting devices,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Dynamic computation offloading for mobile-edge computing with energy harvesting devices,

Reference 4

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Observation 24f39be8-23ed-4693-a41a-b40ce4fba050 · outbound

This paper cites Efficient acceleration of deep learning inference on resource-constrained edge devices: A review,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Efficient acceleration of deep learning inference on resource-constrained edge devices: A review,

Reference 5

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Observation f804f794-baaf-4a19-b6ae-8be254616cdb · outbound

This paper cites Computation offloading in resource-constrained multi-access edge computing,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Computation offloading in resource-constrained multi-access edge computing,

Reference 6

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Observation 760f2be9-50c1-4182-9baf-6b8f2e8e45cc · outbound

This paper cites Learning- aided computation offloading for trusted collaborative mobile edge computing,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Learning- aided computation offloading for trusted collaborative mobile edge computing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T17:22:45.464477Z

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Observation a9c1705e-fb19-4a24-98b9-e082b6e3a1e9 · outbound

This paper cites Delay- aware microservice coordination in mobile edge computing: A rein- forcement learning approach,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Delay- aware microservice coordination in mobile edge computing: A rein- forcement learning approach,

Reference 8

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Observation f2c0c9bc-7071-4756-a978-22e261845b19 · outbound

This paper cites Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks,

Reference 9

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Observation ede2b801-6097-46b2-b760-03488878002b · outbound

This paper cites Computation offloading scheduling for periodic tasks in mobile edge computing,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Computation offloading scheduling for periodic tasks in mobile edge computing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T17:22:45.464477Z

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Observation 9866f1f6-ecd8-4ebc-945a-a2287938a4b9 · outbound

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

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 11

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Observation dcb3df9f-48df-4e2d-ba0a-10accb981ac1 · outbound

This paper cites A survey on collaborative dnn inference for edge intelligence,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon A survey on collaborative dnn inference for edge intelligence,

Reference 12

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Observation 51bbe076-4aa2-4132-a38a-3d0b21b1786e · outbound

This paper cites Autodidactic neurosurgeon: Collaborative deep inference for mobile edge intelligence via online learning,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Autodidactic neurosurgeon: Collaborative deep inference for mobile edge intelligence via online learning,

Reference 13

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Observation 73b63fcc-a91d-499c-bbd9-a65b2e82eee5 · outbound

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

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Dynamic adaptive dnn surgery for inference acceleration on the edge,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T17:22:45.464477Z

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Observation 89675101-ea82-492e-afaa-5347847f221a · outbound

This paper cites Distributed assignment with load balancing for dnn inference at the edge,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Distributed assignment with load balancing for dnn inference at the edge,

Reference 15

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Observation 78929812-5186-4fc5-84f0-4f93659217ef · outbound

This paper cites Learning the optimal partition for collaborative dnn training with privacy requirements,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Learning the optimal partition for collaborative dnn training with privacy requirements,

Reference 16

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Observation b5d8945b-ede4-4e6b-b3f0-07e7905c0b24 · outbound

This paper cites Adversarial group linear bandits and its application to collaborative edge inference,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Adversarial group linear bandits and its application to collaborative edge inference,

Reference 17

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Observation 4bd957fa-077c-41b3-b2d1-7a8b0879dad0 · outbound

This paper cites Learning the optimal path and dnn partition for collaborative edge inference,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Learning the optimal path and dnn partition for collaborative edge inference,

Reference 18

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Observation 3ab6d04e-d94e-44cc-b50f-c3a036f4e0a8 · outbound

This paper cites Task partitioning and offloading in dnn-task enabled mobile edge computing networks,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Task partitioning and offloading in dnn-task enabled mobile edge computing networks,

Reference 19

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Observation b0a87514-eb58-43cb-8f6b-65ef14908658 · outbound

This paper cites Joint multiuser dnn partitioning and computational resource allocation for collaborative edge intelligence,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Joint multiuser dnn partitioning and computational resource allocation for collaborative edge intelligence,

Reference 20

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Observation e3f3f92b-00e1-46b1-bcc2-3c150d37bf5b · outbound

This paper cites Multi-agent systems for collaborative inference based on deep policy q-inference network,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Multi-agent systems for collaborative inference based on deep policy q-inference network,

Reference 21

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Observation 9c3ce010-07da-4e03-96d9-9387ff9f1d32 · outbound

This paper cites Distributed dnn inference with fine-grained model partitioning in mobile edge computing networks,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Distributed dnn inference with fine-grained model partitioning in mobile edge computing networks,

Reference 22

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Observation 18a7436c-de46-4034-af03-4c6074742fe5 · outbound

This paper cites Dronebandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Dronebandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones,

Reference 23

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Observation f5a2a307-dd9a-4cea-81f9-ca74a3982bf2 · outbound

This paper cites Lattimore and C.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Lattimore and C

Reference 24

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Observation 6c94d50a-d793-4df2-8754-e277c1da2b94 · outbound

This paper cites Regret analysis of stochastic and nonstochastic multi-armed bandit problems,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Regret analysis of stochastic and nonstochastic multi-armed bandit problems,

Reference 25

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Observation 4727dd15-1600-4483-bdab-d8f1b8adac16 · outbound

This paper cites Stochastic linear optimization under bandit feedback,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Stochastic linear optimization under bandit feedback,

Reference 26

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Observation 165c5fae-152a-4c7d-a47a-3d48e209814f · outbound

This paper cites Improved algorithms for linear stochastic bandits,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Improved algorithms for linear stochastic bandits,

Reference 27

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CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Distributed bandit learning: Near-optimal regret with efficient communication,

Reference 28

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Observation 4730bc97-9ecc-434c-b52d-3e580441f050 · outbound

This paper cites A simple and provably efficient al- gorithm for asynchronous federated contextual linear bandits,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon A simple and provably efficient al- gorithm for asynchronous federated contextual linear bandits,

Reference 29

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Observation 3740a639-9cb3-4e22-a156-3cfc3bcdeea1 · outbound

This paper cites Federated linear contextual bandits with heterogeneous clients,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Federated linear contextual bandits with heterogeneous clients,

Reference 30

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CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Thompson sampling for contextual bandits with linear payoffs,

Reference 31

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This paper cites Parallel detection for efficient video analytics at the edge,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Parallel detection for efficient video analytics at the edge,

Reference 32

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This paper cites Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing,

Reference 33

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This paper cites Asynchronous upper confidence bound algorithms for federated linear bandits,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Asynchronous upper confidence bound algorithms for federated linear bandits,

Reference 34

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CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Joint optimization with dnn partitioning and resource allocation in mobile edge computing,

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CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Federated online clustering of bandits,

Reference 36

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This paper cites Early-exit deep neural network - A comprehensive survey,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Early-exit deep neural network - A comprehensive survey,

Reference 37

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CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Adaee: Adaptive early-exit DNN inference through multi-armed bandits,

Reference 38

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CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Cutting to the chase with warm-start contextual bandits,

Reference 39

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This paper cites Run your visual- inertial odometry on nvidia jetson: Benchmark tests on a micro aerial vehicle,.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Run your visual- inertial odometry on nvidia jetson: Benchmark tests on a micro aerial vehicle,

Reference 40

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This paper cites DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Reference 41

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This paper cites Netscope analyzer.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Netscope analyzer

Reference 42

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Pith citing papers

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