Paper Citation Record · LEDGER

Performance Isolation for Inference Processes in Edge GPU Systems

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2601.07600.

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

pith.paper-citation-record.v1
2601.07600 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:05:03.351273Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T05:03:10.471589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:36:13.551351Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5302b093-3c0f-451b-aa65-bb54dc5bf7b3 · outbound

This paper cites Road vehicles — functional safety,.

Performance Isolation for Inference Processes in Edge GPU Systems Road vehicles — functional safety,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.299616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96d5b14a-c309-4c9c-bed3-4f0d99d1b41b · outbound

This paper cites Artificial intelligence — functional safety and ai systems,.

Performance Isolation for Inference Processes in Edge GPU Systems Artificial intelligence — functional safety and ai systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.382348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b824959-5909-44a9-97fd-6586104eb033 · outbound

This paper cites On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems,.

Performance Isolation for Inference Processes in Edge GPU Systems On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.487709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a47f648-f63d-45f5-b421-983be08f8ffc · outbound

This paper cites Exploring diversity in neural architectures for safety,.

Performance Isolation for Inference Processes in Edge GPU Systems Exploring diversity in neural architectures for safety,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.555572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c747c5d-9ce6-4e99-bfd1-cfdefa6e8574 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

Performance Isolation for Inference Processes in Edge GPU Systems Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.591109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 620e9b5e-91b9-40d9-b464-432979652712 · outbound

This paper cites Ensemble learning: A survey,.

Performance Isolation for Inference Processes in Edge GPU Systems Ensemble learning: A survey,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.606932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d319dd07-d89f-47d7-9111-c28e0f7a5499 · outbound

This paper cites Edge intelligence: A review of deep neural network inference in resource-limited environments,.

Performance Isolation for Inference Processes in Edge GPU Systems Edge intelligence: A review of deep neural network inference in resource-limited environments,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.652317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72cd0539-ef32-4bb5-ae0e-29e71e1e5070 · outbound

This paper cites Multi-process service (mps) overview.

Performance Isolation for Inference Processes in Edge GPU Systems Multi-process service (mps) overview

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.674936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52904837-79d0-433a-b521-cdb655992531 · outbound

This paper cites Multi-instance gpu (mig) technology.

Performance Isolation for Inference Processes in Edge GPU Systems Multi-instance gpu (mig) technology

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.724280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb03585-9618-4594-85f5-a7f3ea99e854 · outbound

This paper cites Cuda driver api documentation, section 6.35: Green contexts.

Performance Isolation for Inference Processes in Edge GPU Systems Cuda driver api documentation, section 6.35: Green contexts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.794636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8f93222-c144-4fd3-9e4b-7f71e747f620 · outbound

This paper cites Cuda programming guide, section 4.6: Green contexts.

Performance Isolation for Inference Processes in Edge GPU Systems Cuda programming guide, section 4.6: Green contexts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.857404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf2ea594-cdf0-408d-9822-ca4c4d878a44 · outbound

This paper cites Hugging face platform.

Performance Isolation for Inference Processes in Edge GPU Systems Hugging face platform

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.894236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4baeb9e5-58bb-40cc-9294-6b47e0e591d8 · outbound

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

Performance Isolation for Inference Processes in Edge GPU Systems Imagenet: A large-scale hierarchical image database,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.920475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7b67d51-e4b1-43fe-9383-5a493b71e479 · outbound

This paper cites On Accelerating Edge AI: Optimizing Resource-Constrained Environments.

Performance Isolation for Inference Processes in Edge GPU Systems On Accelerating Edge AI: Optimizing Resource-Constrained Environments

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:02.953719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f47a2636-4f71-479a-87c0-8f93501253e5 · outbound

This paper cites Marine objects detection using deep learning on embedded edge devices,.

Performance Isolation for Inference Processes in Edge GPU Systems Marine objects detection using deep learning on embedded edge devices,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.025999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1324f576-8505-47b0-8e09-734a45f925c5 · outbound

This paper cites MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs.

Performance Isolation for Inference Processes in Edge GPU Systems MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.061977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f5b6e3-953c-4ad0-9be9-b34ae5342bfa · outbound

This paper cites A convnet for the 2020s,.

Performance Isolation for Inference Processes in Edge GPU Systems A convnet for the 2020s,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.138880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06d2eaa9-38a7-4012-9494-fa862a0620bd · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Performance Isolation for Inference Processes in Edge GPU Systems Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.157529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bef1f54-04a5-4466-9771-7c633c97320f · outbound

This paper cites Deep residual learning for image recognition,.

Performance Isolation for Inference Processes in Edge GPU Systems Deep residual learning for image recognition,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.196398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33c4c69-a8be-47f5-a157-22fd9f37a332 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Performance Isolation for Inference Processes in Edge GPU Systems An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.211825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 277f6737-ce40-4361-8ac3-235ecea738d1 · outbound

This paper cites Characterizing multi- instance gpu for machine learning workloads,.

Performance Isolation for Inference Processes in Edge GPU Systems Characterizing multi- instance gpu for machine learning workloads,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.268338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b5319e-20cc-4c53-9f62-be104f0165fb · outbound

This paper cites Latency and throughput characterization of convolutional neural networks for mobile computer vision,.

Performance Isolation for Inference Processes in Edge GPU Systems Latency and throughput characterization of convolutional neural networks for mobile computer vision,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.297446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc5f20a-d1ae-478c-8e9c-2f63e357b4dc · outbound

This paper cites A comprehensive performance comparison of dedicated and embedded gpu systems,.

Performance Isolation for Inference Processes in Edge GPU Systems A comprehensive performance comparison of dedicated and embedded gpu systems,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T11:05:03.351273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7570e73d-1c94-4857-a910-bf3afc473ef1 · inbound

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform cites this paper.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Performance Isolation for Inference Processes in Edge GPU Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:21:27.268121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.