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:
Neural sequence-to-sequence models have led to substantial improvements on this task of abstractive summarization, via machine translation inspired encoder-aligner-decoder approaches, further enhanced via convolutional encoders, pointer-copy mechanisms, and hierarchical attention (Rush et al., 2015;<cite> Nallapati et al., 2016</cite>; See et al., 2017) . Despite these promising recent improvements, Input Document: may is a pivotal month for moving and storage companies . Ground-truth Summary: moving companies hit bumps in economic road Baseline Summary: a month to move storage companies Multi-task Summary: pivotal month for storage firms there is still scope in better teaching summarization models about the general natural language inference skill of logical entailment generation.
["Motivation"]