---
format: "aidr-story-markdown/v1"
id: "fe5468c76a03c1f066a0678c59cbc17927126caa19ddc2e7a3bcd2ae6cfd8505"
canonical_url: "https://aidr.today/fe5468c7?lang=en"
title: "High-dimensional layer-state trajectories reveal the internal dynamics of transformer inference"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-21T04:00:00.000Z"
category: "Research"
topics: ["inference"]
source_urls: ["https://arxiv.org/abs/2610.26866"]
summary: "Analysis of layer-state trajectories across Qwen, Llama, and Gemma checkpoints shows that realized layer order produces paths 1.60--2.24 times more aligned with their endpoint chord than endpoint-preserving shuffles, with a confidence gate driving 17 of 87 held-out Qwen closure trajectories across the full-vocabulary top-1 candidate boundary."
---

# High\-dimensional layer\-state trajectories reveal the internal dynamics of transformer inference

> [Open the canonical story](<https://aidr.today/fe5468c7?lang=en>)

**Published:** 2026-10-21T04:00:00.000Z
**Category:** Research
**Topics:** inference

## Summary

Analysis of layer\-state trajectories across Qwen, Llama, and Gemma checkpoints shows that realized layer order produces paths 1\.60\-\-2\.24 times more aligned with their endpoint chord than endpoint\-preserving shuffles, with a confidence gate driving 17 of 87 held\-out Qwen closure trajectories across the full\-vocabulary top\-1 candidate boundary\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.26866>)