CiteTrace - Suitability Failure Rate: leaderboard

Whether search-augmented LLM APIs cite source types that suit the domain of the question, on CiteTrace (Seo et al., 2026, Verified Misguidance): 11,200 real Stack Exchange questions from 28 communities with every cited page crawled. Percent of evaluable citations whose source type (official, research, company, blog and others) is rated 1-2 for the domain on an expert-validated suitability matrix, classified by gpt-4o-mini; lower is better. The paper finds that the provider search backend, more than the model, drives this rate.

Metric: Suitability failure rate (%; share of evaluable citations whose source type is rated 1-2 for the question's domain on the expert-validated 10x6 source-suitability matrix; gpt-4o-mini classifier; 11,200 Stack Exchange questions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.

Top models

#ModelScoreOverall rank
1GPT-57.98#163
2GPT-5 Mini14.25#349
3Grok 4.1 Fast (Reasoning)24.56#426 (Grok 4.1 Fast)
4Grok 4.1 Fast (Non-reasoning)24.79#426 (Grok 4.1 Fast)
5Sonar29.99#1677
6Gemini 3.1 Pro (Preview)30.07#91
7Claude Haiku 4.530.07#568
8Claude Sonnet 4.631.65#158
9Gemini 3 Flash33.46#159

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=citetrace-suitability-failure-rate · How It Works · Data refreshed daily, snapshot 2026-11-12.