PrefixGuard: Online Failure Warning and Trace-Grounded Diagnosis for LLM Agents

arXiv:2605.06455 · cs.AI · Submitted 2026-05-07 · Read on arXiv

cs.AI

Submitted: 2026-05-07

Updated: 2026-09-27

Terminology

• Benchmark — 107× in this paper · explained in 2 episodes
• Trace — 55× in this paper · explained in 2 episodes
• Calibration — 38× in this paper · explained in 7 episodes
• AUROC — 20× in this paper · explained in 2 episodes
• Transformer — 20× in this paper · explained in 2 episodes
• Abstraction — 16× in this paper · explained in 1 episode
• Verification — 16× in this paper · explained in 2 episodes
• Alignment — 15× in this paper · explained in 1 episode
• Verifier — 13× in this paper · explained in 2 episodes
• Embeddings — 10× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• LLM judge — 7× in this paper · explained in 2 episodes
• Abstention — 6× in this paper · explained in 1 episode
• Interpretability — 6× in this paper · explained in 15 episodes
• Actionability — 5× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 4 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• International Conference on Learning Representations — 2× in this paper
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Empirical Methods in Natural Language Processing — 1× in this paper
• F1 Score — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
• Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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