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:
Our work leverages the attention-based selfexplaining method<cite> (Lin et al., 2017)</cite> , as shown in Figure 1 . First, our text encoder ( §3) formulates an input text into a list of basic units, learning a vector representation for each, where the basic units can be words, phrases, or arbitrary ngrams. Then, the attention mechanism is leveraged over all basic units, and sums up all unit representations based on the attention weights {α 1 , ..., α n }. Eventually, the attention weight α i will be used to reveal how important a basic unit h i is. The last prediction layer takes the fixed-length text representation t as input, and makes the final prediction.
["Uses"]