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Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Trac

Researchers at Arizona State University argue that calling intermediate tokens generated by language models 'reasoning traces' or 'thinking traces' anthropomorphizes the models and misleads users about their capabilities. In a position paper, they present evidence that such language confuses the nature of AI systems and leads to questionable research practices. The authors call on the AI community to avoid anthropomorphizing these tokens.

read2 min views1 publishedJun 26, 2026
Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Trac
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[Submitted on 14 Apr 2025 (

[v1](https://arxiv.org/abs/2504.09762v1)), last revised 9 Jun 2026 (this version, v4)]# Title:Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!

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Abstract:Intermediate token generation (ITG), where a model produces output before the solution, has become a standard method to improve the performance of language models on reasoning tasks. These intermediate tokens have been called \say{reasoning traces} or even \say{thinking traces} -- implicitly anthropomorphizing the traces, and implying that these traces resemble steps a human might take when solving a challenging problem, and as such can provide an interpretable window into the operation of the model's thinking process to the end user. In this position paper, we present evidence that this anthropomorphization isn't a harmless metaphor, and instead is quite dangerous -- it confuses the nature of these models and how to use them effectively, and leads to questionable research. We call on the community to avoid such anthropomorphization of intermediate tokens.

Submission history #

From: Subbarao Kambhampati [[view email](/show-email/984a0c5e/2504.09762)]

**Mon, 14 Apr 2025 00:03:34 UTC (381 KB)**

[[v1]](/abs/2504.09762v1)**Tue, 27 May 2025 16:35:47 UTC (536 KB)**

[[v2]](/abs/2504.09762v2)**Fri, 6 Mar 2026 14:36:07 UTC (1,321 KB)**

[[v3]](/abs/2504.09762v3)**[v4]** Tue, 9 Jun 2026 20:08:39 UTC (4,278 KB)

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