RiskChainBench: A Benchmark for Obfuscated Platform Message Restoration and Evidence-Grounded Web Investigation

arXiv:2609.16900 · cs.CL · Submitted 2026-09-15 · Read on arXiv

cs.CL

Submitted: 2026-09-15

Updated: 2026-09-17

Comments: 11 pages, 5 figures; 17-page supplementary material included as an ancillary PDF

Code: https://github.com/mozillazg/pythonpinyin

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 20× in this paper · explained in 2 episodes
• Accuracy — 15× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
• FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection
• Time to REFLECT: Can We Trust LLM Judges for Evidence-based Research Agents?

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