Paper Citation Record · LEDGER

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.13755.

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

pith.paper-citation-record.v1
2506.13755 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:33:49.667428Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation d5fede95-d8ef-4f57-8a64-ea8feb328840 · outbound

This paper cites Once for all: Train one network and specialize it for efficient deployment,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Once for all: Train one network and specialize it for efficient deployment,

Reference 1

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Observation 4266f388-86de-401e-bd73-3b1dbb5bfc1c · outbound

This paper cites MCUNet: Tiny deep learning on IoT devices,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering MCUNet: Tiny deep learning on IoT devices,

Reference 2

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Observation fe589596-7f20-4271-8fb9-96613d6b7f31 · outbound

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

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering MnasNet: Platform-aware neural architecture search for mobile,

Reference 3

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Observation be47f8e5-dec4-4f83-b445-afb5dc6ad503 · outbound

This paper cites Dynamic Co- Optimization Compiler: Leveraging Multi-Agent Reinforcement Learn- ing for Enhanced DNN Accelerator Performance.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Dynamic Co- Optimization Compiler: Leveraging Multi-Agent Reinforcement Learn- ing for Enhanced DNN Accelerator Performance

Reference 4

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Observation 4cf912d0-5459-47bc-b929-5662c21e90bf · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 5

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Observation 5e892b52-ec37-4b5e-97ee-5d84354b4537 · outbound

This paper cites A tutorial on conformal prediction,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering A tutorial on conformal prediction,

Reference 6

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Observation b11385e4-e776-41bc-ab7b-8b5700dec4a7 · outbound

This paper cites Proximal policy optimization algorithms,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Proximal policy optimization algorithms,

Reference 7

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Observation b64c84ec-a480-4899-9b14-73a6dbb90bf9 · outbound

This paper cites Random search for hyper-parameter opti- mization,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Random search for hyper-parameter opti- mization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:57.074841Z

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Observation 2f722268-769d-4025-a277-015d2ef74dcd · outbound

This paper cites Practical Bayesian opti- mization of machine learning algorithms,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Practical Bayesian opti- mization of machine learning algorithms,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:56.851140Z

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Observation 525ef4f4-35a8-4435-9a46-9c224bb56529 · outbound

This paper cites BOHB: Robust and efficient hyperparameter optimization at scale,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering BOHB: Robust and efficient hyperparameter optimization at scale,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:56.660725Z

Source-reported events for the cited work

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Observation 7f544c1b-5c77-4867-8e30-ff786727f807 · outbound

This paper cites What matters for on-policy reinforcement learning? A large-scale empirical study,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering What matters for on-policy reinforcement learning? A large-scale empirical study,

Reference 11

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Observation b1f5bdda-acca-4c75-9fea-451768c5de7f · outbound

This paper cites MAX78000: Ultra-low-power CNN microcon- troller with integrated accelerator—Datasheet,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering MAX78000: Ultra-low-power CNN microcon- troller with integrated accelerator—Datasheet,

Reference 12

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Observation f3b0bb48-6533-44f9-abe4-905a48892a14 · outbound

This paper cites Designing with the MAX78000 CNN Microcon- troller—Application Note,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Designing with the MAX78000 CNN Microcon- troller—Application Note,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:55.532898Z

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Observation 03cf6eeb-75c9-4806-a90a-65753124076d · outbound

This paper cites MaximAI Development Toolkit User Guide,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering MaximAI Development Toolkit User Guide,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:55.334754Z

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Observation d0383e58-0ebb-4ad5-b32d-bb081e6fdc2f · outbound

This paper cites FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems

Reference 15

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Source-reported events for the cited work

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Observation 8f32dd53-9b82-4b02-bc7f-51f2fdb4643d · outbound

This paper cites Gradient-based learning applied to document recognition,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Gradient-based learning applied to document recognition,

Reference 16

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Observation 7400f931-73aa-43fb-8fc9-c554d4867ad5 · outbound

This paper cites DeepArchitect: Automatically designing and training deep architectures,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering DeepArchitect: Automatically designing and training deep architectures,

Reference 17

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Observation 36b2d51f-f42a-488c-af81-9600f2eabcc8 · outbound

This paper cites HAWQ-V2: Hessian aware trace-weighted quantization of neural networks,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering HAWQ-V2: Hessian aware trace-weighted quantization of neural networks,

Reference 18

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Observation c08936ec-fa1f-4a1a-a47e-59c4c2bbb009 · outbound

This paper cites NAS-Bench-Suite: NAS evaluation is (now) surprisingly easy,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering NAS-Bench-Suite: NAS evaluation is (now) surprisingly easy,

Reference 19

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Observation 8f04cc10-dd49-4635-8006-eea5ad04fd20 · outbound

This paper cites FBNetV2: Differentiable neural architecture search for spatial and channel dimensions,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering FBNetV2: Differentiable neural architecture search for spatial and channel dimensions,

Reference 20

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Observation 84915ad0-4562-4832-bc42-02cb2e543e8a · outbound

This paper cites Learning multiple layers of features from tiny images,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Learning multiple layers of features from tiny images,

Reference 21

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Observation 1539d621-4df0-4674-bb2f-68c15482169d · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 22

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Observation ee576e8e-eab0-4898-848e-125454671055 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 23

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Observation 57d316ff-ed09-4a93-83ec-46d650797e35 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 24

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Observation 97fab6db-a6b0-47b6-a01d-fffa06aa5aaf · outbound

This paper cites ShuffleNet: An extremely efficient convolutional neural network for mobile devices,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering ShuffleNet: An extremely efficient convolutional neural network for mobile devices,

Reference 25

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MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 1b6772a6-6863-4d11-a485-87dbe58bb6da · outbound

This paper cites Multi-agent deep reinforcement learning: A survey,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Multi-agent deep reinforcement learning: A survey,

Reference 27

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Observation 5246550f-7232-4e8d-bf93-7f6b5868f82b · outbound

This paper cites Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows

Reference 28

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Observation 23afea12-0c25-4f18-98bd-21fc2db40cc3 · outbound

This paper cites Counterfactual multi-agent policy gradients,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Counterfactual multi-agent policy gradients,

Reference 29

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Observation 810f3f1d-566e-4e4a-b42e-eb0244940456 · outbound

This paper cites The surprising effectiveness of centralized training for multi-agent reinforcement learning,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering The surprising effectiveness of centralized training for multi-agent reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:52.291581Z

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Observation 705b2861-8826-4a70-8ca9-ae76ae979d17 · outbound

This paper cites Formation of eccentric gas discs from sublimating or partially disrupted asteroids orbiting white dwarfs.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Formation of eccentric gas discs from sublimating or partially disrupted asteroids orbiting white dwarfs

Reference 31

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Observation 74f2a577-ae50-4e87-b094-8fdddd73ed80 · outbound

This paper cites FBNet: Hardware-aware efficient convnet design via differentiable neural architecture search,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering FBNet: Hardware-aware efficient convnet design via differentiable neural architecture search,

Reference 32

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Observation 0d5a5ae4-c309-4ed6-8168-0c5f86b25926 · outbound

This paper cites ProxylessNAS: Direct neural architecture search on target task and hardware,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering ProxylessNAS: Direct neural architecture search on target task and hardware,

Reference 33

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Observation d928d9dd-5cfc-46e5-bcf0-3e5baf05fc2f · outbound

This paper cites TVM: An automated end-to-end optimizing compiler for deep learning,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering TVM: An automated end-to-end optimizing compiler for deep learning,

Reference 34

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Observation bc841d1f-5d3f-4813-a52f-d64ceb6a1fb3 · outbound

This paper cites Fast inference of deep neural networks in FPGAs for particle physics,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Fast inference of deep neural networks in FPGAs for particle physics,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:51.247895Z

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Observation 5e612a9a-29f7-42af-ad64-7e057b96c17b · outbound

This paper cites Optimizing FPGA-based accelerator design for deep convolutional neural networks,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering Optimizing FPGA-based accelerator design for deep convolutional neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:50.964748Z

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Observation ba37f0ef-037b-43da-b6bb-6c264667846a · outbound

This paper cites SODA: Stochastic superoptimization and design acceleration for DNNs on embedded devices,.

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering SODA: Stochastic superoptimization and design acceleration for DNNs on embedded devices,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:33:50.774759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.