English

The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models

Machine Learning 2026-05-25 v1 Artificial Intelligence Computation and Language

Abstract

Chain-of-thought (CoT) prompting is necessary for arithmetic in small language models, yet shuffling its steps preserves most performance. What does CoT contribute if not logical sequencing? In three 1-3B instruction-tuned LMs on GSM8K, we isolate the answer-readout stage via prefix completion and identify a positional shortcut: the model copies whichever number occupies the trailing position before the answer delimiter, regardless of intermediate reasoning. Gold-answer presence accounts for 54-92 pp of accuracy (89-92% of each model's teacher-forcing ceiling); even on incorrect items, the final answer matches the last CoT number 95-96% of the time. The copy channel takes precedence over retained-context completion: replacing the trailing number with a wrong value collapses accuracy to near-zero despite correct intermediates, yet removing it recovers 5-32 pp above that floor--even single-step arithmetic the model can otherwise perform is suppressed when a copyable number is present. Qwen and Llama copy novel distractors 87-95% of the time; Gemma gates selectively. Head-level ablation implicates architecture-specific head sets; the effect replicates on GSM-Symbolic. On non-arithmetic BBH tasks, shuffle retention drops sharply; at 7-8B, content-selective gating emerges. Step-level faithfulness evaluations risk conflating positional answer transport with genuine computation--a failure mode for CoT-based oversight.

Cite

@article{arxiv.2605.22870,
  title  = {The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models},
  author = {Ming Liu},
  journal= {arXiv preprint arXiv:2605.22870},
  year   = {2026}
}

Comments

18 pages (8 main + 10 appendix), 3 figures, 5 tables

R2 v1 2026-07-22T07:26:58.173Z