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:
In order to encode the MTT acting on derivation trees, we introduce a new abstract vocabulary Σ derθ for disambiguated derivation trees as in (Yoshinaka, 2006 to love is used to model sentences where both adjunctions are performed into γ to love . C 10 to love and C 01 to love are used for sentences where only one adjunction at the s or at the vp node occurs respectively. C 00 to love : np np s is used when no adjunction occurs. 6 This really mimics (Yoshinaka, 2006) 's encoding of<cite> (Kallmeyer and Kuhlmann, 2012)</cite> MTT rules: . . . are designed in order to indicate that a given adjunction has n adjunctions above it (i.e. which scope over it).
["Background"]