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:
Most relevant for us is the work of <cite>Belinkov and Bisk (2018)</cite> , who evaluated on natural noise obtained from Wikipedia edit histories (e.g., Max and Wisniewski, 2010) . <cite>They</cite> find that robustness to natural noise can be obtained by training on the same noise model, but that (a) training on synthetic noise does not yield robustness to natural noise at test time, and (b) training on natural noise significantly impairs performance on clean text. In contrast, we show that training on the right kind and the right amount of synthetic noise can yield substantial improvements on natural noise at test time, without significantly impairing performance on clean data. Our ablation results suggest that deletion and insertion noise -which were not included by <cite>Belinkov and Bisk</cite> -are essential to achieving robustness to natural noise.
["Extends", "Differences"]