SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge | Paper Citation Record

Observation 575e1c1a-c781-46da-883e-a74929cef83a · outbound

This paper cites Applied machine learning at facebook: A datacenter infrastructure perspective,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Applied machine learning at facebook: A datacenter infrastructure perspective,

Reference 1

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2264e84e-0716-4956-81bc-2e631cf142a3 · outbound

This paper cites INFaaS: Automated model-less inference serving,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge INFaaS: Automated model-less inference serving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.583813Z

Source-reported events for the cited work

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Observation 9f62a382-889e-408d-9c3e-2d9b89b410f9 · outbound

This paper cites Holmes: Health online model ensemble serving for deep learning models in intensive care units,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Holmes: Health online model ensemble serving for deep learning models in intensive care units,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.574666Z

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Observation 9ff5cca6-9b34-4f7a-952e-9ed9cfe69e21 · outbound

This paper cites Hercules: Heterogeneity-aware inference serving for at-scale personal- ized recommendation,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Hercules: Heterogeneity-aware inference serving for at-scale personal- ized recommendation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.565965Z

Source-reported events for the cited work

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Observation 86df435f-b8d6-4ad0-a4ed-8821f38268df · outbound

This paper cites Serving deep neural networks at the cloud edge for vision applications on mobile platforms,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Serving deep neural networks at the cloud edge for vision applications on mobile platforms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.557511Z

Source-reported events for the cited work

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Observation 6dcb3977-ea8c-4fc2-8581-a710f26f7413 · outbound

This paper cites Octopus: Slo-aware progressive in- ference serving via deep reinforcement learning in multi-tenant edge cluster,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Octopus: Slo-aware progressive in- ference serving via deep reinforcement learning in multi-tenant edge cluster,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.548053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f64c770d-c72c-46dc-9911-ee5820fbe891 · outbound

This paper cites Leveraging multi-modal data for efficient edge inference serving,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Leveraging multi-modal data for efficient edge inference serving,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.538589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68a71eb5-a50c-4e35-9f6d-ac8f43041091 · outbound

This paper cites Sponge: Inference serving with dynamic slos using in-place vertical scaling,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Sponge: Inference serving with dynamic slos using in-place vertical scaling,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.529541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9817bb47-dd96-4921-b0e5-1c6586d1d2ce · outbound

This paper cites One size does not fit all: Quantifying and exposing the accuracy- latency trade-off in machine learning cloud service apis via tolerance tiers,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge One size does not fit all: Quantifying and exposing the accuracy- latency trade-off in machine learning cloud service apis via tolerance tiers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.511527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e1f7892-4a6f-439c-9409-b79cfce91a82 · outbound

This paper cites Qos-aware schedul- ing of heterogeneous servers for inference in deep neural networks,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Qos-aware schedul- ing of heterogeneous servers for inference in deep neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.502201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50995da5-3903-41da-a12d-153f1bea581d · outbound

This paper cites Scheduling with fully compressible tasks: Appli- cation to deep learning inference with neural network compression,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Scheduling with fully compressible tasks: Appli- cation to deep learning inference with neural network compression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.493685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51b7132f-b6fb-4dca-96dc-50331e6b2038 · outbound

This paper cites MArk: Exploiting cloud services for Cost-Effective, SLO-Aware machine learning inference serving,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge MArk: Exploiting cloud services for Cost-Effective, SLO-Aware machine learning inference serving,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.484503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03d4ebdd-3c3d-430d-bd66-dc5b75fdacb0 · outbound

This paper cites Proteus: A high-throughput inference-serving system with accuracy scaling,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Proteus: A high-throughput inference-serving system with accuracy scaling,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.475434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76c932e2-bbb7-4575-97a1-46f18011a441 · outbound

This paper cites Loki: A system for serving ml inference pipelines with hardware and accuracy scaling,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Loki: A system for serving ml inference pipelines with hardware and accuracy scaling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.466488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b532f64b-d042-4f6a-bc82-d2f972615758 · outbound

This paper cites Jellyfish: Timely inference serving for dynamic edge networks,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Jellyfish: Timely inference serving for dynamic edge networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.457414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation adfdadf6-8573-4054-8cfe-3432231f6c1f · outbound

This paper cites Real-time video analytics: The killer app for edge computing,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Real-time video analytics: The killer app for edge computing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.449102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81804275-86ad-4b53-8d18-7c03b3a2400e · outbound

This paper cites an unresolved cited work.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:41:09.440232Z

Source-reported events for the cited work

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Observation 8fae6d82-cb84-442a-ab30-60602c2b8288 · outbound

This paper cites Audio- and video-based human activity recognition systems in healthcare,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Audio- and video-based human activity recognition systems in healthcare,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.431434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e27a021-b7dd-4906-ba9c-aafd5e8c7e4e · outbound

This paper cites an unresolved cited work.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:41:09.422737Z

Source-reported events for the cited work

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Observation a7e1f6f2-668b-424b-bdda-60ccd4834fa9 · outbound

This paper cites Real-Time Arrhythmia Detection Using Hybrid Convolu- tional Neural Networks,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Real-Time Arrhythmia Detection Using Hybrid Convolu- tional Neural Networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.413780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a10a940c-1cbe-49c1-b9e2-5d58dfaa87f4 · outbound

This paper cites Machine learning for predicting epileptic seizures using eeg signals: A review,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Machine learning for predicting epileptic seizures using eeg signals: A review,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.404306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30bf278d-c071-49e3-8a62-08310f5e995a · outbound

This paper cites A review of epileptic seizure detection using machine learning classifiers,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge A review of epileptic seizure detection using machine learning classifiers,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.394637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99fbcc1b-6892-417c-a9c6-b1526ece15ff · outbound

This paper cites Prediction of respiratory decom- pensation in covid-19 patients using machine learning: The ready trial,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Prediction of respiratory decom- pensation in covid-19 patients using machine learning: The ready trial,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.385586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f027f906-3b6c-4624-bd63-eae7d1bcda71 · outbound

This paper cites Identifying and monitoring respiratory compromise: Report from the rules and algorithms working group,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Identifying and monitoring respiratory compromise: Report from the rules and algorithms working group,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.375077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66beb3ac-48fe-49d2-b122-e67afee50a44 · outbound

This paper cites an unresolved cited work.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:41:09.365199Z

Source-reported events for the cited work

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Observation 5b915234-df13-458c-a604-3f7226367905 · outbound

This paper cites Complexity of task sequencing with deadlines, set-up times and changeover costs,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Complexity of task sequencing with deadlines, set-up times and changeover costs,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.354899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8af4c9f5-c119-4b5c-a103-66564b877463 · outbound

This paper cites Metrics for Multi-Class Classification: an Overview.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Metrics for Multi-Class Classification: an Overview

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:08.919409Z

Source-reported events for the cited work

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Observation a4e9aa5a-b64c-4b5f-9ed2-b6b9acf7bed4 · outbound

This paper cites Layercake: Efficient inference serving with cloud and mobile resources,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Layercake: Efficient inference serving with cloud and mobile resources,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.343177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c1df342e-1799-4d94-9591-da08d427d1e2 · outbound

This paper cites Model selection for latency- critical inference serving,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Model selection for latency- critical inference serving,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.520619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23371edb-2812-4585-a6f1-0719a85d902e · outbound

This paper cites Clipper: A Low-Latency online prediction serving system,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Clipper: A Low-Latency online prediction serving system,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.333346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97eefbea-70d4-4b85-a415-7c108a668e7f · outbound

This paper cites Mmact: A large-scale dataset for cross modal human action under- standing,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Mmact: A large-scale dataset for cross modal human action under- standing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.323219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce3565d1-3cfc-4812-94f4-121b5bd93c48 · outbound

This paper cites X3d: Expanding architectures for efficient video recognition,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge X3d: Expanding architectures for efficient video recognition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.313459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8738893-9c83-4b3d-aa6b-53a2a2eb13f2 · outbound

This paper cites Minirocket: A very fast (almost) deterministic transform for time series classification,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Minirocket: A very fast (almost) deterministic transform for time series classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.303524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5690e20-7db5-49bc-9e94-12fa45ece88e · outbound

This paper cites Multi-stage based feature fusion of multi-modal data for human activity recognition,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Multi-stage based feature fusion of multi-modal data for human activity recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.292420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 116afb45-f664-48d8-af47-d2269ef196b8 · outbound

This paper cites Speech commands: A public dataset for single-word speech recognition.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Speech commands: A public dataset for single-word speech recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.281596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93154809-12af-4725-b65c-c21d5feb5815 · outbound

This paper cites Howl: A deployed, open-source wake word detection system,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Howl: A deployed, open-source wake word detection system,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.270229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f64ff17c-8939-4265-bdb4-9e577c01fadc · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.260324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1406fba-8076-45d7-a3aa-c947f946b949 · outbound

This paper cites ECG arrhythmia classification using a 2-D convolutional neural network.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge ECG arrhythmia classification using a 2-D convolutional neural network

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:08.955037Z

Source-reported events for the cited work

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Observation 2278a2d0-d1b5-4980-b44c-478fb7125b2c · outbound

This paper cites Slo-aware inference scheduler for heterogeneous processors in edge platforms,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Slo-aware inference scheduler for heterogeneous processors in edge platforms,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.250452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 01ce65e2-8953-45f9-ad2c-75116006912c · outbound

This paper cites The faiss library,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge The faiss library,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:08.961597Z

Source-reported events for the cited work

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Observation 0190d96d-86ed-4381-a9cd-f4fec5ba5153 · outbound

This paper cites Kairos: Building cost- efficient machine learning inference systems with heterogeneous cloud resources,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Kairos: Building cost- efficient machine learning inference systems with heterogeneous cloud resources,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.235181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d89c40f-99b1-4456-9287-9678e3fe3ac0 · outbound

This paper cites Interference-aware scheduling for inference serving,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Interference-aware scheduling for inference serving,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.225668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b5cd6ce-a354-429f-a5df-d871fb7e1ed5 · outbound

This paper cites Inss: An intelligent scheduling orchestrator for multi-gpu inference with spatio-temporal sharing,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Inss: An intelligent scheduling orchestrator for multi-gpu inference with spatio-temporal sharing,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.216372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d14ed0e-e65f-43fa-a8c9-59c2049988bd · outbound

This paper cites Elastic- room: Multi-tenant dnn inference engine via co-design with resource- constrained compilation and strong priority scheduling,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Elastic- room: Multi-tenant dnn inference engine via co-design with resource- constrained compilation and strong priority scheduling,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.207483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b513ac6-5728-4eaf-909a-7775bd2869d3 · outbound

This paper cites Mosel: Inference serving using dynamic modality selection,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Mosel: Inference serving using dynamic modality selection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.197606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45cccccd-eacb-4f36-b7c9-afdb9f466737 · outbound

This paper cites Splitrpc: A Control + Data path splitting rpc stack for ml inference serving,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Splitrpc: A Control + Data path splitting rpc stack for ml inference serving,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.188198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d753ec75-cb55-458d-85c9-f16bcd420e95 · outbound

This paper cites Sommelier: Curating dnn models for the masses,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Sommelier: Curating dnn models for the masses,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.178688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2bb5d6bd-d042-48aa-bb1b-eaed6d14e129 · outbound

This paper cites EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:41:09.066272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9de1706-d693-4d77-9979-c6de4924fcbe · outbound

This paper cites Edgeadaptor: Online configuration adaption, model selection and resource provisioning for edge dnn inference serving at scale,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Edgeadaptor: Online configuration adaption, model selection and resource provisioning for edge dnn inference serving at scale,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.169361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 35a777c9-0eac-4739-a19b-0a7fea01b510 · outbound

This paper cites On-demand edge inference scheduling with accuracy and deadline guarantee,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge On-demand edge inference scheduling with accuracy and deadline guarantee,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.160409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 490930e9-e3ee-45aa-a899-4bf9eb852e4c · outbound

This paper cites Seamless hw-accelerated ai serving in het- erogeneous mec systems with ai@edge,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Seamless hw-accelerated ai serving in het- erogeneous mec systems with ai@edge,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.150749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e266000b-eea2-4771-b540-712a8bb9b0f3 · outbound

This paper cites Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:41:09.052212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c0197c8-35a1-43f0-868d-b02ed1e658ee · outbound

This paper cites Optimizing deep learning inference on embedded systems through adaptive model selec- tion,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Optimizing deep learning inference on embedded systems through adaptive model selec- tion,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.139399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfd37d7d-486d-49ab-810a-c392cd4f4ea9 · outbound

This paper cites Dynamic dnn model selection and inference off loading for video analytics with edge-cloud collaboration,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Dynamic dnn model selection and inference off loading for video analytics with edge-cloud collaboration,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.128085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5664f6ab-cf5c-4cb2-89ea-77a321066c26 · outbound

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

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.115810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3a46a0c-ef9d-4a07-bb86-ea9c7f0158c2 · outbound

This paper cites Chameleon: Scalable adaptation of video analytics,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Chameleon: Scalable adaptation of video analytics,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.105355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a0e27ac-408c-4498-bb4e-4d8fb897493e · outbound

This paper cites Ekya: Continuous learning of video analytics models on edge compute servers,.

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge Ekya: Continuous learning of video analytics models on edge compute servers,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:09.094872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers