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Paper Citation Record · LEDGER

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks

As of 9 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2502.07422.

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

pith.paper-citation-record.v1
2502.07422 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:54:27.023037Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

66 of 66 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 057080d7-0a5f-4667-a25a-bf24884bb082 · outbound

This paper cites Intelligent health care: Applications of deep learning in computational medicine,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Intelligent health care: Applications of deep learning in computational medicine,

Reference 1

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Observation 03dd02c9-3a58-43fc-8919-8fc9499d8b36 · outbound

This paper cites A survey on deep learning for cybersecurity: Progress, challenges, and opportunities,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A survey on deep learning for cybersecurity: Progress, challenges, and opportunities,

Reference 2

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Observation 7360bd8f-34e8-4ab4-9ca6-227be4503c69 · outbound

This paper cites A survey of deep learning techniques for autonomous driving,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A survey of deep learning techniques for autonomous driving,

Reference 3

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Observation 7f2d33ea-4ab3-4f04-9cda-6f2959951cfa · outbound

This paper cites Edge artificial intelligence for internet of things devices: Open challenges,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Edge artificial intelligence for internet of things devices: Open challenges,

Reference 4

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Observation 7aa379a9-59af-486e-9c5b-f95fff6f887d · outbound

This paper cites Prunet: Class- blind pruning method for deep neural networks,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Prunet: Class- blind pruning method for deep neural networks,

Reference 5

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Observation 4ff250b0-be39-4d4e-81b2-cb729ab0315d · outbound

This paper cites Methods for pruning deep neural networks,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Methods for pruning deep neural networks,

Reference 6

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Source-reported events for the cited work

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Observation d752b049-779f-460f-90b9-3724861a2400 · outbound

This paper cites A cross-layer approach towards de- veloping efficient embedded deep learning systems,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A cross-layer approach towards de- veloping efficient embedded deep learning systems,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e9da866b-18a5-42dc-853b-5bc890f20a76 · outbound

This paper cites Quantization of deep neural networks for accurate edge computing,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Quantization of deep neural networks for accurate edge computing,

Reference 8

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Source-reported events for the cited work

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Observation 6c7f329d-5e83-449a-b7ff-9df36f24599b · outbound

This paper cites Head network distillation: Splitting distilled deep neural networks for resource-constrained edge computing systems,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Head network distillation: Splitting distilled deep neural networks for resource-constrained edge computing systems,

Reference 9

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Observation 602c6c46-752e-41fe-9990-263e12560f33 · outbound

This paper cites A Comprehensive Survey on Hardware-Aware Neural Architecture Search.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Reference 10

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Source-reported events for the cited work

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Observation 8a076a75-658a-4223-a554-814c17f71a8d · outbound

This paper cites Fast hardware-aware neural architecture search,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fast hardware-aware neural architecture search,

Reference 11

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Observation 8da88fb8-9281-445b-8f39-4fc22590f02d · outbound

This paper cites Automl: A survey of the state-of-the-art,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Automl: A survey of the state-of-the-art,

Reference 12

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Observation e5cd76e1-be9e-498b-8107-a392a36ac724 · outbound

This paper cites Neural architecture search: A survey,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Neural architecture search: A survey,

Reference 13

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Observation e9860af0-4bb1-4d27-b972-2ef464176495 · outbound

This paper cites A Survey on Neural Architecture Search.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A Survey on Neural Architecture Search

Reference 14

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no resolver link, observed 2026-08-08T12:54:26.806982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 27f81f19-3211-476d-bf54-cbe3fdf63bb8 · outbound

This paper cites Nascaps: A framework for neural architecture search to optimize the accuracy and hardware efficiency of convolutional capsule networks,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Nascaps: A framework for neural architecture search to optimize the accuracy and hardware efficiency of convolutional capsule networks,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2f0e54e1-c088-438c-ab0d-675c5561d392 · outbound

This paper cites Bionetexplorer: Architecture-space exploration of biosignal processing deep neural networks for wearables,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Bionetexplorer: Architecture-space exploration of biosignal processing deep neural networks for wearables,

Reference 16

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Observation 4568734e-5d63-4db3-8829-5ecd6ff58bb0 · outbound

This paper cites Kaisa, Nonlinear Multiobjective Optimization.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Kaisa, Nonlinear Multiobjective Optimization

Reference 17

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Observation 3c26d219-5eaf-4bc7-a1e9-0ba824e7763a · outbound

This paper cites The larger the fairer? small neural networks can achieve fairness for edge devices,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks The larger the fairer? small neural networks can achieve fairness for edge devices,

Reference 18

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Source-reported events for the cited work

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Observation b485b7bc-842c-4efb-8981-29abf5baed1f · outbound

This paper cites A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d782ac5-be47-4e0f-90e0-2b39b79d1dd9 · outbound

This paper cites Robust re-identification by multiple views knowledge distillation,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Robust re-identification by multiple views knowledge distillation,

Reference 20

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Observation caf2808b-a990-4f52-aa6f-e77540626987 · outbound

This paper cites Domain generalization: A survey,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Domain generalization: A survey,

Reference 21

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 30b33df6-6f05-49d7-a039-5cfde969ae8a · outbound

This paper cites Deep learning-enabled medical computer vision,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Deep learning-enabled medical computer vision,

Reference 22

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Observation 39929793-9636-47d6-b871-1e6c35e4f6a1 · outbound

This paper cites A survey on bias and fairness in machine learning,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A survey on bias and fairness in machine learning,

Reference 23

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Observation 01307c4e-76cd-4f89-b109-70d551649dd8 · outbound

This paper cites Do imagenet classifiers generalize to imagenet?,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Do imagenet classifiers generalize to imagenet?,

Reference 24

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Observation 260bc07e-9b8b-412b-a7db-c8ad5fc4cf0b · outbound

This paper cites The Robustness Limits of SoTA Vision Models to Natural Variation.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks The Robustness Limits of SoTA Vision Models to Natural Variation

Reference 25

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Observation e637c765-8ef2-4597-878b-5ef35ef405d5 · outbound

This paper cites Fair ai: Challenges and opportunities,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fair ai: Challenges and opportunities,

Reference 26

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Observation ff8427f9-a283-4054-b092-2763711c8989 · outbound

This paper cites Fairness by explica- bility and adversarial shap learning,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fairness by explica- bility and adversarial shap learning,

Reference 27

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Observation 25987742-c5c3-4ebd-8ad8-93ebed8cce60 · outbound

This paper cites Social-minded measures of data quality: fairness, diversity, and lack of bias,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Social-minded measures of data quality: fairness, diversity, and lack of bias,

Reference 28

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Source-reported events for the cited work

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Observation 1bfbee76-1072-4b4e-a6f0-df6f0c44c8ec · outbound

This paper cites Fairness for deep learning predic- tions using bias parity score based loss function regularization,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fairness for deep learning predic- tions using bias parity score based loss function regularization,

Reference 29

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Source-reported events for the cited work

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Observation 16104271-fd0f-4c93-9f8c-6a875be70a07 · outbound

This paper cites Microsoft coco: Common objects in context,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Microsoft coco: Common objects in context,

Reference 30

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Observation 25d7e6ea-a0c7-4113-8268-0fd0af5565e2 · outbound

This paper cites Facet: Fairness in computer vision evaluation benchmark,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Facet: Fairness in computer vision evaluation benchmark,

Reference 31

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Observation d29467c6-2441-4736-a702-a075a13733ce · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 32

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Source-reported events for the cited work

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Observation fc4e8492-a599-4a4f-8c9c-6aecda55e657 · outbound

This paper cites Fairness perceptions of artificial intelligence: A review and path forward,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fairness perceptions of artificial intelligence: A review and path forward,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6817c376-3743-4499-8cd2-e77bcfdf466c · outbound

This paper cites Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision chal- lenge,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision chal- lenge,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3f6976e0-2f1d-47f2-8b71-2c7df34a99a2 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Understanding deep learning (still) requires rethinking generalization,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ee19128-056c-476c-aa9c-7a75407a5a33 · outbound

This paper cites Fair data generation and ma- chine learning through generative adversarial networks,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fair data generation and ma- chine learning through generative adversarial networks,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 91070d19-f075-43f9-ba83-60f8eb0825f9 · outbound

This paper cites Data preprocessing to mitigate bias: A maximum entropy based approach,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Data preprocessing to mitigate bias: A maximum entropy based approach,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 441a4394-ff12-4685-8f5b-3939eec2100f · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Ditto: Fair and robust federated learning through personalization,

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 605ba2b6-d67a-4a9f-b68f-cd0c3f9b7c49 · outbound

This paper cites Fairness in deep learning: A survey on vision and language research,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Fairness in deep learning: A survey on vision and language research,

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e01fdc4f-85cb-4d4f-8dc8-76937c118ae3 · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas,

Reference 40

Resolution
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raw_fallback, observed 2026-08-08T12:54:27.463351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 60fb0b2a-427b-45c7-806c-89b224be6cc0 · outbound

This paper cites Mobilenetv3,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Mobilenetv3,

Reference 41

Resolution
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raw_fallback, observed 2026-08-08T12:54:27.449921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:26.918228Z digest=sha256:23f1901742e62a2753305a19ee5a6b0fd070942b2a5a15e61dcc42fd54b557b0

Observation 508fc5e3-de71-4233-8be3-a4234f6b2e33 · outbound

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

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 42

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no resolver link, observed 2026-08-08T12:54:26.922256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df5b27d7-3b7f-4c84-88b6-ff27ac069fa0 · outbound

This paper cites Ensemble learning techniques and its efficiency in machine learning: A survey,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Ensemble learning techniques and its efficiency in machine learning: A survey,

Reference 43

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raw_fallback, observed 2026-08-08T12:54:27.437002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:26.926568Z digest=sha256:5d2bbc436fca04a2528a2048bd80b0d7e63a5c8589b05bed230abfd706ca5206

Observation 4bde4396-e26b-4192-b1fb-d72abb9981af · outbound

This paper cites Glam: Efficient scaling of language models with mixture- of-experts,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Glam: Efficient scaling of language models with mixture- of-experts,

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:26.930984Z digest=sha256:a49c00177c185cb552023cef644afb55d5ada9382569721913e8d77ad94ded4e

Observation 5b1453b7-4b9d-4858-aad9-a5166f60ae13 · outbound

This paper cites Scaling vision with sparse mixture of experts,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Scaling vision with sparse mixture of experts,

Reference 45

Resolution
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raw_fallback, observed 2026-08-08T12:54:27.410613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:26.935124Z digest=sha256:9d81234ff4bcebcc0651375c321bf5be629db27f839dc57aa71e05b3b6c1fdf1

Observation d709cd58-6b40-4185-8818-dd8bca5c24d1 · outbound

This paper cites Synergy-of-experts: Collaborate to improve adversarial robustness,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Synergy-of-experts: Collaborate to improve adversarial robustness,

Reference 46

Resolution
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raw_fallback, observed 2026-08-08T12:54:27.396922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:26.939586Z digest=sha256:88adfeb73daafdacf87ac230d6c6006d8c0ef8d5cff9f0f4919437e596439983

Observation 1fd5abcf-e72e-420e-b8b0-a66267995fa6 · outbound

This paper cites Balanced product of calibrated experts for long-tailed recognition,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Balanced product of calibrated experts for long-tailed recognition,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:54:27.383655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:26.943896Z digest=sha256:a7f0b24c2d26ec60f3693cd0a4370e1cddc1e3c61e0f2e03e10fd210bfa5cc4b

Observation 47f2b2b4-de17-46ea-8145-569f487ab367 · outbound

This paper cites Attention is all you need,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Attention is all you need,

Reference 48

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raw_fallback, observed 2026-08-08T12:54:27.370596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a2d63159-1cd5-4702-92ae-88cbbbf4f8ef · outbound

This paper cites Transformers in vision: A survey,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Transformers in vision: A survey,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:54:27.357100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8b272fde-d990-4ddc-a1b8-f374fa944969 · outbound

This paper cites Bananas: Bayesian optimiza- tion with neural architectures for neural architecture search,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Bananas: Bayesian optimiza- tion with neural architectures for neural architecture search,

Reference 50

Resolution
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raw_fallback, observed 2026-08-08T12:54:27.342646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 38ce35a7-5a52-4c3d-bf3c-6c1a375163e2 · outbound

This paper cites Scalability of the bayesian optimization algorithm,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Scalability of the bayesian optimization algorithm,

Reference 51

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raw_fallback, observed 2026-08-08T12:54:27.329504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b01f2ec-c306-4241-a780-961041452f51 · outbound

This paper cites Task-Specific Expert Pruning for Sparse Mixture-of-Experts.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Task-Specific Expert Pruning for Sparse Mixture-of-Experts

Reference 52

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no resolver link, observed 2026-08-08T12:54:26.964409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b698b7e1-dfa9-47e2-9165-4db4ffa83fe8 · outbound

This paper cites Timm top 20 fastest models.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Timm top 20 fastest models

Reference 53

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d5874a03-b3b7-4798-9062-76710969e7f8 · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high- resolution dense prediction,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Efficientvit: Lightweight multi-scale attention for high- resolution dense prediction,

Reference 54

Resolution
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raw_fallback, observed 2026-08-08T12:54:27.303527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1960c5b3-63a0-4c3b-9f50-c370786c6b31 · outbound

This paper cites RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization

Reference 55

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no resolver link, observed 2026-08-08T12:54:26.977130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 863db94e-29d9-40a8-bf31-3b4278f9515c · outbound

This paper cites PP-LCNet: A Lightweight CPU Convolutional Neural Network.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks PP-LCNet: A Lightweight CPU Convolutional Neural Network

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 52a83080-a4c3-44d9-8c79-bbd2488af98c · outbound

This paper cites Separable Self-attention for Mobile Vision Transformers.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Separable Self-attention for Mobile Vision Transformers

Reference 57

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no resolver link, observed 2026-08-08T12:54:26.985619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57de57f9-981b-4368-b308-ea91f081fdf5 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottle- necks,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Mobilenetv2: Inverted residuals and linear bottle- necks,

Reference 58

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raw_fallback, observed 2026-08-08T12:54:27.290575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d5410739-24a3-404a-9bf4-92a1b1c370f3 · outbound

This paper cites Deep residual learning for image recognition,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Deep residual learning for image recognition,

Reference 59

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no resolver link, observed 2026-08-08T12:54:26.993587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8be868f4-5041-44c8-88d0-ddbeba8ece1c · outbound

This paper cites Mnasnet: Platform-aware neural architecture search for mobile,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Mnasnet: Platform-aware neural architecture search for mobile,

Reference 60

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c31964df-8f9e-4bd2-8e09-4c5ef7408dbf · outbound

This paper cites Searching for mobilenetv3,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Searching for mobilenetv3,

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e1db6175-54c5-467b-881f-6b2d0fb7db88 · outbound

This paper cites Model rubik’s cube: Twisting resolution, depth and width for tinynets,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Model rubik’s cube: Twisting resolution, depth and width for tinynets,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:54:27.240979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8a05049b-5653-4edf-a2da-fcbe0bfa8ce0 · outbound

This paper cites ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Reference 63

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no resolver link, observed 2026-08-08T12:54:27.009971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:54:27.009971Z digest=sha256:371b470145e06ff808073605d2ff70640c8c157c0c70e85d997647a647daeb11

Observation f9261814-b956-4b82-8adb-8ce86855e118 · outbound

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

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Imagenet: A large-scale hierarchical image database,

Reference 64

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raw_fallback, observed 2026-08-08T12:54:27.227757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:27.014143Z digest=sha256:cdaa2cc87fb7054b4b76a71d6f1cb826f0c4e2d84b2c64c759effca2313136b9

Observation 0b5b4343-ec40-43ea-a39e-2a194b9addf5 · outbound

This paper cites Efficientnet: Rethinking model scaling for convo- lutional neural networks,.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Efficientnet: Rethinking model scaling for convo- lutional neural networks,

Reference 65

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raw_fallback, observed 2026-08-08T12:54:27.214112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:27.019065Z digest=sha256:3912034d113ef4bffc8b9a1c8ce287e2d836565777caa2b71252714eadd5dae4

Observation 43509c4c-9f85-47f2-8b80-10c2e9b3daf5 · outbound

This paper cites Architectural Vision for Quantum Computing in the Edge-Cloud Continuum.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Architectural Vision for Quantum Computing in the Edge-Cloud Continuum

Reference 66

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local_arxiv, observed 2026-08-08T12:54:27.063910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:54:27.023037Z digest=sha256:2ba15e25ed20b431ede829ceea1460d89b95acf97da9ea8e6fc8122afa44e300

Pith citing papers

No inbound Pith citation observations are available.