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Architecture Dependent Temporal Observability Under Deployment Interference in Edge Inference Systems

Akul Swami, Nikhil Chougule

Deployment interference can corrupt both inference timing and the software that measures it, independently.

arxiv:2605.17701 v1 · 2026-05-17 · eess.SY · cs.SY

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Claims

C1strongest claim

We claim, narrowly, that timing observability is itself an interference-sensitive resource, and that summary statistics from a single timing source can hide failure modes an independent external observer makes visible.

C2weakest assumption

The experimental setup assumes that the Saleae Logic Pro 8 logic analyzer's GPIO interval captures provide a reliable, independent external ground truth that is not itself corrupted by the same deployment interference or pairing issues as the software reports.

C3one line summary

Deployment interference corrupts timing observability in edge AI systems, allowing software logs to report normal operation while external hardware captures reveal failures that differ by inference architecture.

References

11 extracted · 11 resolved · 1 Pith anchors

[1] and Reed, Daniel A
[2] Mytkowicz, Todd and Diwan, Amer and Hauswirth, Matthias and Sweeney, Peter F. , title =. Proceedings of the 14th International Conference on Architectural Support for Programming Languages and Operati
[3] IEEE International Parallel and Distributed Processing Symposium , year =
[4] Ratul, I. J. and Zhou, Y. and Yang, K. , title =. Electronics , volume =
[5] Don't Buy the Pig in a Poke: Benchmarking DNNs Inference Performance before Development , booktitle =

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First computed 2026-05-20T00:04:53.548242Z
Builder pith-number-builder-2026-05-17-v1
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a4b9cd1e39eaf7a2ca945a8a5c06e6197c4bbde6ebd59c31cf0f55d5571e0c81

Aliases

arxiv: 2605.17701 · arxiv_version: 2605.17701v1 · doi: 10.48550/arxiv.2605.17701 · pith_short_12: US442HRZ5L32 · pith_short_16: US442HRZ5L32FSUU · pith_short_8: US442HRZ
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/US442HRZ5L32FSUULKFFYBXGDF \
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# expect: a4b9cd1e39eaf7a2ca945a8a5c06e6197c4bbde6ebd59c31cf0f55d5571e0c81
Canonical record JSON
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