arXiv (All)
open access
Accelerated Drift of Scientific Prose in the LLM Era: Evidence from an Interrupted Time-Series Analysis
Every scientific text is embedded in the writing norms of its time: it reflects earlier publications while also shaping the texts that follow. The growing use of LLM-based writing tools introduces a new factor in this evolving system, but the linguistic changes coinciding with their emergence remain
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Who's Behind the Text? Robust Model Authorship Attribution#1354274
- The Marker Drift Problem: Measuring LLM-Assisted Writing with Unstable Lexical Indicators#976787
- Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation#1201631
- Teacher feedback VS AI-assisted peer feedback in L2 writing: A quasi-experimental study in a Chinese University.#323202
- The role of altmetrics in citation emergence: a temporal approach#289517
Record · ID 1401193
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive