TRACK - Math Reasoning (Facts in Context): leaderboard

Knowledge-conflict reasoning in TRACK (Testing Reasoning Amid Conflicting Knowledge; Feng et al., EACL 2026): 500 PRM800K-derived problems decomposed into procedural steps, where the needed facts contradict or extend what the model learned in pre-training, answered with the model's own missing facts appended to the prompt. Holistic pass in percent (a correct final answer and reasoning that entails every required fact), higher is better.

Metric: Holistic pass (%; PRM800K-derived problems decomposed into procedural steps, 500 items; the final answer is correct and the reasoning entails every required fact; answered with the model's own missing facts appended to the prompt). Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.1 Mini86.4#775
2Qwen 3 8B70.7#1838
3Qwen 3 4B62.3#2297
4Qwen 3 1.7B49.2#5551

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

Interactive version: theaggregate.ai/benchmark?slug=track-math-reasoning-facts-in-context · How It Works · Data refreshed daily, snapshot 2026-11-12.