Study Finds No Reasoning Distillation Traces in Kimi K3, Cites Data Contamination
bookwormengr · x · 2026-08-12
Recent analysis scrutinizes the distillation theory surrounding the Kimi K3 model. The author notes that the paper does not prove distillation, offering at best evidence of dataset contamination due to the highly recognizable nature of the HLE test set.
Furthermore, the research found no clear signs of distillation in Kimi K3's reasoning traces, with token matching requiring tens of millions of theoretical attempts. This raises a logical question: if distillation occurred, why only target final answers rather than the reasoning steps? However, other researchers observed that extracting specific Claude and GPT reasoning spans from Kimi K3 is up to 6 orders of magnitude easier than from other models.
Related event: Kimi K3 Distillation Claims Questioned as Potential Data Contamination(2 posts)→
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