Paper Citation Record · LEDGER

Janus: Collaborative Vision Transformer Under Dynamic Network Environment

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2502.10047.

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

pith.paper-citation-record.v1
2502.10047 v1

Coverage vector

measured 47 of 47 reference resolution

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measured 47 of 47 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation e6ca1531-82c1-47ba-b53b-c1a986c2fec1 · outbound

This paper cites A survey of vision-based traffic monitoring of road intersections,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment A survey of vision-based traffic monitoring of road intersections,

Reference 1

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Observation 0683d4ee-ab01-4869-83a6-06029d8d882b · outbound

This paper cites A Guide to Video Analytics: Applications and Opportuni- ties,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment A Guide to Video Analytics: Applications and Opportuni- ties,

Reference 2

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Observation 4f78f100-57c4-4c8c-9143-6cf5672e58c9 · outbound

This paper cites Video Analytics in Practical AI Applications [2024 Guide],.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Video Analytics in Practical AI Applications [2024 Guide],

Reference 3

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Observation 6220d2cf-1fe1-4452-8682-54789bf970f8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 4

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Observation ca75d630-c4fc-47a3-bcd4-06a354a69e61 · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Exploring plain vision transformer backbones for object detection,

Reference 5

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Observation 7f54d85a-100b-486c-b4fc-4b43d13f2961 · outbound

This paper cites Semantic segmentation using Vision Transformers: A survey,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Semantic segmentation using Vision Transformers: A survey,

Reference 6

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Observation b3a92702-0ac8-40cf-afba-ab0a833fa31d · outbound

This paper cites Videomae v2: Scaling video masked autoencoders with dual masking,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Videomae v2: Scaling video masked autoencoders with dual masking,

Reference 7

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Observation a752fde7-43e7-472f-9b34-5e27620c1979 · outbound

This paper cites Transformers in Vision: A Survey,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Transformers in Vision: A Survey,

Reference 8

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This paper cites A survey on vision transformer,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment A survey on vision transformer,

Reference 9

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Observation 50c516ef-3e4f-45bb-91b3-161fd8ccc4ed · outbound

This paper cites MMClassification,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment MMClassification,

Reference 10

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Observation b40921ac-46d1-4a73-932e-46e37297e72a · outbound

This paper cites Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation,

Reference 11

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Observation a225a792-e40c-4b9e-b9de-5428d49f76de · outbound

This paper cites SA ViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment SA ViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization,

Reference 12

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Observation 02b7c359-bba6-4220-9966-17915e763759 · outbound

This paper cites PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization,

Reference 13

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Observation 436c5f2c-6057-4a1e-9af7-0c2267aea0fb · outbound

This paper cites ShiftAddNAS: Hardware- inspired search for more accurate and efficient neural networks,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment ShiftAddNAS: Hardware- inspired search for more accurate and efficient neural networks,

Reference 14

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Observation d27d8af9-b303-4099-ba57-d96c18c8b505 · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer,

Reference 15

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Observation 7469e850-f026-4c9a-a458-c674998c237e · outbound

This paper cites Decomposable Intelligence on Cloud-Edge IoT Framework for Live Video Analytics,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Decomposable Intelligence on Cloud-Edge IoT Framework for Live Video Analytics,

Reference 16

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Observation 13062d8a-f574-4849-b480-98b73c6b4a7e · outbound

This paper cites SPINN: Synergistic progressive inference of neural networks over device and cloud,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment SPINN: Synergistic progressive inference of neural networks over device and cloud,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:43:10.423878Z

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Observation 6ff409be-c56f-4581-b2f5-e54137c51893 · outbound

This paper cites Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge,

Reference 18

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Observation 1046b6c1-50b8-4912-9333-ccfa83ae4511 · outbound

This paper cites CNNPC: End- Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment CNNPC: End- Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression,

Reference 19

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Lzw data compression,

Reference 20

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Observation a847a1f6-e4da-47e6-b1fe-5af4191decc3 · outbound

This paper cites Ofcom Publish Benchmarks of UK 5G, 4G and 3G Mobile Networks,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Ofcom Publish Benchmarks of UK 5G, 4G and 3G Mobile Networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:43:10.356415Z

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This paper cites An in-depth study of uplink performance of 5G mmWave networks,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment An in-depth study of uplink performance of 5G mmWave networks,

Reference 22

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This paper cites Imagenet: A large-scale hierarchical image database,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Imagenet: A large-scale hierarchical image database,

Reference 23

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems,

Reference 24

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This paper cites A Reconfigurable Neural Ar- chitecture for Edge–Cloud Collaborative Real-Time Object Detection,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment A Reconfigurable Neural Ar- chitecture for Edge–Cloud Collaborative Real-Time Object Detection,

Reference 25

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Adaptive Token Sampling for Efficient Vision Transformers,

Reference 26

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Token Merging: Your ViT But Faster,

Reference 27

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This paper cites Improving fairness, efficiency, and stability in http-based adaptive video streaming with festive,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Improving fairness, efficiency, and stability in http-based adaptive video streaming with festive,

Reference 28

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment OpenCV - Open Computer Vision Library,

Reference 29

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Pytorch Image Models (timm) | timmdocs,

Reference 30

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment NVIDIA Jetson Orin,

Reference 31

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Elastic Compute Service,

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment The Kinetics Human Action Video Dataset

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Masked Autoencoders As Spatiotemporal Learners,

Reference 34

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment IA-RED ˆ2: Interpretability-Aware Redundancy Reduction for Vision Transformers,

Reference 35

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Patch slimming for efficient vision transformers,

Reference 36

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Evo-vit: Slow-fast token evolution for dynamic vision transformer,

Reference 37

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Width & depth pruning for vision transformers,

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers,

Reference 39

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Lite vision transformer with enhanced self-attention,

Reference 40

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment In-situ ai: Towards autonomous and incremental deep learning for iot systems,

Reference 41

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Computation Offload- ing for Machine Learning Web Apps in the Edge Server Environment,

Reference 42

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Janus: Collaborative Vision Transformer Under Dynamic Network Environment Dynamic adaptive DNN surgery for inference acceleration on the edge,

Reference 43

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Observation efd1cc96-078c-4c00-8bce-96ee448a7fb4 · outbound

This paper cites Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things,

Reference 44

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Observation db92f2f1-b1d1-4fdc-b905-ce1497086ea5 · outbound

This paper cites Edge AI: On-Demand Accelerat- ing Deep Neural Network Inference via Edge Computing,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Edge AI: On-Demand Accelerat- ing Deep Neural Network Inference via Edge Computing,

Reference 45

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This paper cites Fine-grained elastic partitioning for distributed dnn towards mobile web ar services in the 5g era,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Fine-grained elastic partitioning for distributed dnn towards mobile web ar services in the 5g era,

Reference 46

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This paper cites Towards cloud- edge collaborative online video analytics with fine-grained serverless pipelines,.

Janus: Collaborative Vision Transformer Under Dynamic Network Environment Towards cloud- edge collaborative online video analytics with fine-grained serverless pipelines,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:43:09.939510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.