[Submitted on 29 Oct 2026]
Title:Coupled or Independent? Fault Coupling in Agentic Medical Vision Systems
View a PDF of the paper titled Coupled or Independent? Fault Coupling in Agentic Medical Vision Systems, by Nishi Kanta Paul and 2 other authors
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Abstract:Vision-language agents equipped with tools expose intermediate outputs for inspection and comparison with the model's reasoning, which may offer safety benefits over single-shot models. This paper tests that potential benefit when the sensor reading itself is untrusted, so that the tool and reasoning channels share a common visual fault. We consider a dermatology agent based on segmentation, contrastive retrieval, and an iterative vision-language reasoner and define a coupling taxonomy that distinguishes single-channel errors from joint errors that agree or disagree. On PAD-UFES-20, we show that typographic injection produces detectable directional retrieval capture, whereas physical corruption does not. Crop-first retrieval preserves the payload at a readable scale and produces 55% joint wrong agreement across all cases (71% of faulty cases); full-image retrieval produces 35% (43%). Under a binary decision, if both channels are wrong, their predictions must agree, so hard-label channel comparison cannot detect joint failures, limiting disagreement recall to 0.29 (crop-first) versus 0.57 (full-image). The direction of the order effect is reproduced on the independent HIBA test set.
Comments: 9 pages, 3 figures, 5 tables
Subjects:
Computer Vision and Pattern Recognition (cs.CV); Cryptography and Security (cs.CR)
Cite as: arXiv:2610.40913 [cs.CV]
(or arXiv:2610.40913v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2610.40913
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Shihabul Islam Shovo [view email] [v1] Thu, 29 Oct 2026 19:34:29 UTC (743 KB)
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