PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (14)

[1]
The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal Behavior
2025Erik Larsen
[2]
HIP-LLM: A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models
2025Robab Aghazadeh Chakherlou, Qing Guo et al.
[3]
Efficient Prediction of Pass@k Scaling in Large Language Models
2025Joshua Kazdan, Rylan Schaeffer et al.
[4]
Calibrating LLM Confidence by Probing Perturbed Representation Stability
2025Reza Khanmohammadi, Erfan Miahi et al.
[5]
Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study
2025Kaitlin E Hanss, Karthik V Sarma et al.
[6]
aiXamine: Simplified LLM Safety and Security
2025Fatih Deniz, Dorde Popovic et al.
[7]
Uncertainty Quantification for LLM-Based Survey Simulations
2025Chengpiao Huang, Yuhang Wu et al.
[8]
Quantifying perturbation impacts for large language models
2024Paulius Rauba, Qiyao Wei et al.
[9]
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
2024Ninad Naik
[10]
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
2024Yutao Mou, Shikun Zhang et al.
[11]
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
2024Yi Zeng, Yu Yang et al.
[12]
Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board-style Examination.
2024Satheesh Krishna, Nishaant Bhambra et al.
[13]
Holistic Evaluation of Language Models
2023Percy Liang, Rishi Bommasani et al.
[14]
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
2023Wen-song Ye, Mingfeng Ou et al.

Founder's Pitch

"Develop Accelerated Prompt Stress Testing (APST) to evaluate LLM safety and reliability under repeated inference, complementing existing benchmarks."

AI SafetyScore: 5View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

2/4 signals

5

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.