Your task is to classify the citation intent within the following provided text from a computational linguistics research paper. The cited work is demarcated by "<cite>" and "</cite>". Determine the purpose of the cited work by selecting from the listed categories:

- Background: The cited paper underpins the subject matter.
- Motivation: The cited paper inspires or provides a rationale for the current research.
- Uses: The current work utilizes concepts or tools from the cited paper.
- Extends: The current work advances ideas or methods from the cited paper.
- Similarities: The current work identifies commonalities with the cited paper.
- Differences: The current work delineates its distinction from the cited paper.
- FutureWork: The cited paper is acknowledged as groundwork for prospective research.

Indicate the intents by listing them in a `json` array, e.g. ["Background", "Uses"]. More than one intent may be applicable. Do not include any extraneous text in your response.

Context with Citation:
Similarly, a recently proposed state-of-the-art supervised neural segmentation model<cite> (Koshorek et al. 2018</cite> ) directly learns to predict binary sentence-level segmentation decisions and has no explicit mechanism for modeling coherence. In this work, in contrast, we propose a supervised neural model for text segmentation that explicitly takes coherence into account: we augment the segmentation prediction objective with an auxiliary coherence modeling objective. Our proposed model, dubbed Coherence-Aware Text Segmentation (CATS), encodes a sentence sequence using two hierarchically connected Transformer networks (Vaswani et al. 2017; Devlin et al. 2018 ).
["Differences", "Background"]