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AISPA: User-Centric System Prompt Auditing for Large Language Model Applications research paper by Stanford University, 2026

Stanford University · Jul 30, 2026 · Foundation models · 0 citations · 36 upvotes · unverified

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What it shows

System prompts are instructions configured by developers to govern the behaviors of foundation models in AI applications.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Xiangning Lin, Shenzhe Zhu, Shu Yang and 23 more
arXiv
2607.28617 · PDF
Venue
arXiv.org
Citations
0, 0 influential · Semantic Scholar
Upvotes
36 · Hugging Face
Code
github.com/SystemPromptIndex/SystemPromptIndex
Lab
Stanford University

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 0Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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