Sampling Reveals Style: Unsupervised, Training-Free Discovery of Prompt-Conditional Stylistic Axes in LLM Activations

arXiv 2609.19150v1•565767ac51f0701db5aa7d90ee07c7a8003df66cc47964c710c32b13d98451ea

Paper metadata

arXiv ID
2609.19150
Version
v1
Category
cs.CL, cs.LG
Authors
Ajit Mallavarapu, Ziwei Gu
Publication date
2026-09-18T04:00:00Z
Source identifier
2609.19150v1
Public record ID
record:sha256:565767ac51f0701db5aa7d90ee07c7a8003df66cc47964c710c32b13d98451ea

Source license ↗

The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.

This is source-provided metadata, not an enriched summary or an impact assessment. Follow the canonical source link for the published material.

Evidence and limitations

Source ID
arxiv_research
Record identifier
565767ac51f0701db5aa7d90ee07c7a8003df66cc47964c710c32b13d98451ea
Record type
Source metadata

This record may overlap with other records. Source metadata can be incomplete or change. Validate consequential decisions against the linked source and your own environment.