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:
Similar to<cite> (Koshorek et al. 2018)</cite> , CATS' main learning objective is a binary sentence-level segmentation prediction. However, CATS augments the segmentation objective with an auxiliary coherence-based objec-tive which pushes the model to predict higher coherence for original text snippets than for corrupt (i.e., fake) sentence sequences. We empirically show (1) that even without the auxiliary coherence objective, the Two-Level Transformer model for Text Segmentation (TLT-TS) yields state-of-the-art performance across multiple benchmarks, (2) that the full CATS model, with the auxiliary coherence modeling, further significantly improves the segmentation, and (3) that both TLT-TS and CATS are robust in domain transfer.
["Similarities", "Differences"]