Paper Citation Record · LEDGER

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems

As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2502.06581.

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

pith.paper-citation-record.v1
2502.06581 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:59:53.721172Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T20:36:16.561576Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:38:24.718414Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31192939-7267-45d6-8faf-0ed45faee858 · outbound

This paper cites Be- yond transfer learning: Co-finetuning for action localisa- tion,.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Be- yond transfer learning: Co-finetuning for action localisa- tion,

Reference 1

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Observation 05a5fd72-58fa-4fcb-828b-bbc1456014c2 · outbound

This paper cites Hyper: Distributed cloud processing for large-scale deep learning tasks.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Hyper: Distributed cloud processing for large-scale deep learning tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.221050Z

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Observation 8bd41137-7517-4eb2-a9bf-e7a2aa1c0c28 · outbound

This paper cites EdgeVision: Towards collaborative video ana- lytics on distributed edges for performance maximization.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems EdgeVision: Towards collaborative video ana- lytics on distributed edges for performance maximization

Reference 8

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Observation 3a1e5106-b89a-4feb-83c6-921e54d4178a · outbound

This paper cites Automatic pruning for quantized neural networks.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Automatic pruning for quantized neural networks

Reference 10

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Observation 131dadb9-6d13-471f-aebb-7f0377086664 · outbound

This paper cites Fed-FSNet: Mitigating non-i.i.d.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Fed-FSNet: Mitigating non-i.i.d

Reference 11

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Observation 373314de-94e0-4d52-bdeb-3d698fdecaf4 · outbound

This paper cites Energy-efficient resource allocation for heterogeneous edge–cloud computing.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Energy-efficient resource allocation for heterogeneous edge–cloud computing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.152922Z

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Observation eadbd99b-1956-49cb-82dd-ed2736a4d795 · outbound

This paper cites Task offloading with enhanced deep q-networks for efficient industrial intelli- gent video analysis in edge–cloud collaboration.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Task offloading with enhanced deep q-networks for efficient industrial intelli- gent video analysis in edge–cloud collaboration

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.143676Z

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Observation 31617790-27ce-4f58-80aa-37be2ac21a60 · outbound

This paper cites Video-lavit: Unified video-language pre-training with decoupled visual-motional tokenization,.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Video-lavit: Unified video-language pre-training with decoupled visual-motional tokenization,

Reference 14

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Observation 48ae237a-97b2-4eab-b393-a929d5519b87 · outbound

This paper cites Integration of edge–ai into iot–cloud architecture for landslide monitoring and prediction.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Integration of edge–ai into iot–cloud architecture for landslide monitoring and prediction

Reference 15

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Observation 60eec69d-a608-4cd0-9aec-af489ad3d507 · outbound

This paper cites CROSSBOW: Scaling deep learning with small batch sizes on multi-gpu servers.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems CROSSBOW: Scaling deep learning with small batch sizes on multi-gpu servers

Reference 16

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Observation 0609d181-f75e-4bfc-871d-e7c478ac69e8 · outbound

This paper cites Optimizing the energy con- sumption in three-tier cloud–edge–fog federated systems with omnidirectional offloading.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Optimizing the energy con- sumption in three-tier cloud–edge–fog federated systems with omnidirectional offloading

Reference 17

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Observation 99b324ca-20a7-40c7-b4a2-ad134fcc1774 · outbound

This paper cites Two- timescale joint service caching and resource allocation for task offloading with edge–cloud cooperation.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Two- timescale joint service caching and resource allocation for task offloading with edge–cloud cooperation

Reference 18

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Observation 38ffd3bf-555d-4000-b5be-5b1397ca6400 · outbound

This paper cites Efficient Heterogeneous Video Segmentation at the Edge.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Efficient Heterogeneous Video Segmentation at the Edge

Reference 19

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Source-reported events for the cited work

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Observation 2c8a0126-e6b0-4d69-9c58-22b31a79e6b3 · outbound

This paper cites Generalized video anomaly event detection: Sys- tematic taxonomy and comparison of deep models.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Generalized video anomaly event detection: Sys- tematic taxonomy and comparison of deep models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.091178Z

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Observation 7ffcd4a0-d772-43a5-a03a-6df82095afec · outbound

This paper cites Unsupervised anomaly localization with structural feature-autoencoders.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Unsupervised anomaly localization with structural feature-autoencoders

Reference 21

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Observation 755cde48-20b2-4e32-9e1f-f6602643b3a6 · outbound

This paper cites Revamp2t: Real-time edge video analytics for multicamera privacy-aware pedestrian tracking.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Revamp2t: Real-time edge video analytics for multicamera privacy-aware pedestrian tracking

Reference 22

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Source-reported events for the cited work

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Observation 651bbf97-ac28-4e9b-9851-466047e827e8 · outbound

This paper cites Video-bench: A comprehensive benchmark and toolkit for evaluating video-based large language models,.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Video-bench: A comprehensive benchmark and toolkit for evaluating video-based large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.052801Z

Source-reported events for the cited work

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Observation 573fe4d2-b7d9-4199-8282-a1d85cbeee7c · outbound

This paper cites Ego-vehicle action recognition based on semi-supervised contrastive learning.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Ego-vehicle action recognition based on semi-supervised contrastive learning

Reference 25

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Observation 8cf53cf8-b9fa-4b2a-9b21-212c23a44ca8 · outbound

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A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Unresolved cited work

Reference 26

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Observation 33c88d87-e376-4e80-a541-f18953335916 · outbound

This paper cites Video anomaly detection by estimating likelihood of representations.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Video anomaly detection by estimating likelihood of representations

Reference 27

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Observation fb2fe532-7ec9-49ff-9833-a1218a37e78c · outbound

This paper cites Quan, Dinh C.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Quan, Dinh C

Reference 28

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Observation 11d693cc-d3ff-49c5-86d8-9e6032b8355b · outbound

This paper cites Perf4sight: A toolflow to model cnn training performance on edge gpus.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Perf4sight: A toolflow to model cnn training performance on edge gpus

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.998705Z

Source-reported events for the cited work

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Observation 53aa83bb-33bc-4d0c-a8ea-df4aac3375c7 · outbound

This paper cites Yadwadkar, and Christos Kozyrakis.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Yadwadkar, and Christos Kozyrakis

Reference 30

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Observation fe68a2b3-722f-4fb6-b7ee-06347603e19b · outbound

This paper cites Equilib- rium in the computing continuum through active inference.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Equilib- rium in the computing continuum through active inference

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.979582Z

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Observation 8c6c8d0a-3c57-4e4d-b81b-6474e63c8604 · outbound

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A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Unresolved cited work

Reference 32

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Observation 7ebd70f2-0a56-4bec-b814-71da54868922 · outbound

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A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Unresolved cited work

Reference 33

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Observation 24a3cb0d-c0ad-494c-92cc-7013d7b3a10b · outbound

This paper cites Breckon, and Ioannis Katramados.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Breckon, and Ioannis Katramados

Reference 34

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Observation 3ea2b702-6aba-4779-aad7-5db0b2a8c9c2 · outbound

This paper cites Dyannet: A scene dynamicity guided self-trained video anomaly detection network.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Dyannet: A scene dynamicity guided self-trained video anomaly detection network

Reference 35

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Observation c5561d08-b55f-4465-bef6-4609b730a07c · outbound

This paper cites Dy- namic microservice deployment and offloading for things– edge–cloud computing.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Dy- namic microservice deployment and offloading for things– edge–cloud computing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.932514Z

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Observation 99bd2d6d-ef3a-456f-88a7-d4ae6ee046cd · outbound

This paper cites Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics

Reference 37

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Observation 9a81c731-e7fa-486f-bc0e-d1c94404a311 · outbound

This paper cites Symbolic pregression: Discovering physical laws from distorted video.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Symbolic pregression: Discovering physical laws from distorted video

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.922897Z

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Observation 912aa9ea-be0f-47a7-80b7-d95fcb53e691 · outbound

This paper cites Edge, fog, and cloud computing : An overview on challenges and applications,.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Edge, fog, and cloud computing : An overview on challenges and applications,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.911361Z

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Observation 50ca52ff-7d9c-43b9-8dcd-47bccf088fe9 · outbound

This paper cites Shoggoth: Towards efficient edge-cloud collaborative real-time video inference via adaptive online learning.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Shoggoth: Towards efficient edge-cloud collaborative real-time video inference via adaptive online learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.900865Z

Source-reported events for the cited work

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Observation af5b1063-1dc3-4853-a752-e3ae40470ea5 · outbound

This paper cites Descriptive and predictive analysis of aggregating functions in server- less clouds: The case of video streaming.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Descriptive and predictive analysis of aggregating functions in server- less clouds: The case of video streaming

Reference 41

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Observation b2e20eea-7b96-4e03-ad06-f7b561862981 · outbound

This paper cites Transcoding-enabled cloud–edge–terminal collaborative video caching in heterogeneous iot networks: An online learning approach with time-varying information.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Transcoding-enabled cloud–edge–terminal collaborative video caching in heterogeneous iot networks: An online learning approach with time-varying information

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.880283Z

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Observation bae1e7af-fd0f-47fa-9140-16b73a773f9b · outbound

This paper cites an unresolved cited work.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Unresolved cited work

Reference 43

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Observation 65e0fb4b-8978-4cc6-9bc0-ec466878b60e · outbound

This paper cites ig- niter: Interference-aware gpu resource provisioning for predictable dnn inference in the cloud.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems ig- niter: Interference-aware gpu resource provisioning for predictable dnn inference in the cloud

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.858478Z

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Observation 20b6dc82-9a0b-4818-98f3-bb32efb11f00 · outbound

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A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:59:53.848840Z

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Observation 516cb4c6-fb6a-4b30-a8b0-f511b659d2ef · outbound

This paper cites Denoising-based turbo message passing for compressed video background subtraction.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Denoising-based turbo message passing for compressed video background subtraction

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.837078Z

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Observation 189a3d59-5fcd-4d17-9ea3-90105af651a4 · outbound

This paper cites A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T14:59:53.708206Z

Source-reported events for the cited work

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Observation 0f0d1b46-7678-49f8-8553-a463fab4c93a · outbound

This paper cites A survey on generative ai and llm for video generation, understanding, and streaming,.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems A survey on generative ai and llm for video generation, understanding, and streaming,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.826455Z

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Observation b9796eac-ec1f-42ca-b0d8-024440728b14 · outbound

This paper cites Towards open set video anomaly detection.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Towards open set video anomaly detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.816542Z

Source-reported events for the cited work

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Observation 597af42e-1911-4e36-82ed-2177059a12ae · outbound

This paper cites Variance-Covariance Regularization Improves Representation Learning.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Variance-Covariance Regularization Improves Representation Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T14:59:53.717788Z

Source-reported events for the cited work

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Observation 3fb940b1-588b-43ac-b5e7-c44390e9e3e6 · outbound

This paper cites Edge intelligence- assisted animation design with large models: A survey.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Edge intelligence- assisted animation design with large models: A survey

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:53.805693Z

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Observation c84443e5-1209-4aaf-bf54-2ada82a2f2db · outbound

This paper cites End- to-end learning of motion representation for video under- standing.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems End- to-end learning of motion representation for video under- standing

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.200473Z

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 92405153-c72f-4802-bde9-07f57b19350f · outbound

This paper cites Towards Compute-Optimal Transfer Learning.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Towards Compute-Optimal Transfer Learning

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:59:53.795639Z

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 8b597e37-80e3-463a-a82b-8b0896767679 · outbound

This paper cites Real-time index authentication for event-oriented surveillance video query using blockchain.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Real-time index authentication for event-oriented surveillance video query using blockchain

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.061414Z

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 7d46d06b-5d0e-438a-85eb-7167e2d994dd · outbound

This paper cites Ekya: Continuous learning of video analytics mod- els on edge compute servers.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Ekya: Continuous learning of video analytics mod- els on edge compute servers

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.229882Z

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 38a8ed6e-f7c0-4753-8391-747b46b10fe5 · outbound

This paper cites EdgeDASH: Exploiting network-assisted adaptive video streaming for edge caching.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems EdgeDASH: Exploiting network-assisted adaptive video streaming for edge caching

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.237794Z

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 85d7b0a4-8dbf-4729-b6ae-bfca164a7a3d · outbound

This paper cites Massively parallel video networks.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Massively parallel video networks

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.211417Z

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 76da8c23-da06-4e86-92f3-5f6b9fca25cd · outbound

This paper cites AI-enhanced cloud-edge- terminal collaborative network: Survey, applications, and future directions.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems AI-enhanced cloud-edge- terminal collaborative network: Survey, applications, and future directions

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:59:54.180817Z

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.

Pith citing papers

Observation 29d3df75-d264-4cc0-80d1-1eae98d82454 · inbound

FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation cites this paper.

FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:38:24.719987Z

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.