Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2604.23831.

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

pith.paper-citation-record.v1
2604.23831 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

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

measured 14 of 14 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 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

14 of 14 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea908b84-20b9-4cb6-a10a-6cb4a7f67f56 · outbound

This paper cites Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations. Draft Guidance.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations. Draft Guidance

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.914146Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:10e172aa0b58c3fc85dce9d5337d9a7ba0dee3571d1633833c17bee3324c0857

Observation 4fe9963e-3a09-4bc8-8ab8-abd6cc578b51 · outbound

This paper cites Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.907100Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:9cb1c0554b5a8144bf2311bd7b7df96515d1c4146d9c8827b2183ce1fd01664c

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

This paper cites Performance Isolation for Inference Processes in Edge GPU Systems.

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:b96e6dcd368d2a144e147a90e2cd5abe74a01c86eeb15e7f83ef776301443c85

Observation 9fc6340b-77f5-4d27-8806-01201b8a9ab0 · outbound

This paper cites DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.910549Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:1fbfbfaa347e4dc674b996452bc93d64530518e628e32a47bedd9f234d7d3db2

Observation a3442d36-4766-4d67-865b-30c31a0d25c2 · outbound

This paper cites Edge Devices Inference Performance Comparison.

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

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:36:13.544280Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:a48847bb7b8fe7c2e03d2d180ed981377201e6ddbcdce4833eefb3fdb9c98937

Observation 445e013f-3a92-4489-bedb-008e6effeeef · outbound

This paper cites Increasing Safety of Neural Networks in Medical Devices.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Increasing Safety of Neural Networks in Medical Devices

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.903192Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:d084cc0d5da0d0b9a8f6eab52b43955376848037eeb4babf079fad84cba5ff82

Observation e238d91e-6d66-4201-9a4e-f9c479c122bf · outbound

This paper cites The Worst-Case Execution Time Problem—Overview of Methods and Survey of Tools.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform The Worst-Case Execution Time Problem—Overview of Methods and Survey of Tools

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.895806Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:be485325cd3402b503d35aa2ae053fe4f3fa2b7f94590d860b5b6cdb41773124

Observation 40404b8e-9c98-4acf-a811-a9925ad3a20f · outbound

This paper cites Medical device software: Software life cycle processes.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Medical device software: Software life cycle processes

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.885195Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:d309a42e725439afe72d77d651529cd4b7436a955ddd7a998582878103de1b84

Observation 9bbc51c4-53af-4fa5-9679-b8b4eaaca615 · outbound

This paper cites Medical devices: Application of risk management to medical devices.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Medical devices: Application of risk management to medical devices

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.917553Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:b0d55a06eff5d8f0f11a7842dcc5064fcda07a2129448361fc7d29993b2b6349

Observation d316c9b4-e300-4bb1-851c-2560c3ff652a · outbound

This paper cites stress-ng: Tool to Load and Stress a Computer System.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform stress-ng: Tool to Load and Stress a Computer System

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.881528Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:05edfe18444f324005763b58f30d04db536b06575a4b103436cf9232842407a9

Observation a1b000a9-16f6-48ee-b2c7-e476cf30ccf9 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.877259Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:cae83289dcd5a34d0edc5715db281342a20ca25111f5c0fbaa93ad7dc1ce1391

Observation a6cab14b-2115-497c-a97d-fb34e952c6a3 · outbound

This paper cites TensorRT Developer Guide.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform TensorRT Developer Guide

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.892061Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:7b592760b9e215e0d839ebd65fd19969ba9acb9a0c1f924d8a8ee7f88a834443

Observation 9acb365a-cb24-48c3-9b14-7f054f2a0d8e · outbound

This paper cites ONNX Runtime: Cross-Platform Inference Accelerator.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform ONNX Runtime: Cross-Platform Inference Accelerator

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.899421Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:8c31d86d30896299ef0b850841bac7284369453a8d4a5cb12ba7f66cf27aa5a1

Observation 7c770bf4-a1d0-4e30-bab5-58ac50eef439 · outbound

This paper cites Early Recalls and Clinical Validation Gaps in Artificial Intelligence-Enabled Medical Devices.

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform Early Recalls and Clinical Validation Gaps in Artificial Intelligence-Enabled Medical Devices

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T20:17:57.888789Z

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.

source=pdf_text observed=2026-05-08T05:03:10.471589Z digest=sha256:853517ef23304be2345f0ebddbe01de9ce7a1c797fc68d96e86bc2d5fa619e91

Pith citing papers

No inbound Pith citation observations are available.