# Supported Abstract Argumentation for Case-Based Reasoning

arXiv: https://arxiv.org/abs/2507.04994 · HTML: https://mlsanity.com/paper/2507.04994/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 8 references that are in the map.
- First posted on arXiv 7 Jul 2025.

## Builds on (most cited first, 2 of 2)

- [Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)](https://mlsanity.com/paper/2107.06413/) (2021)
- [Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)](https://mlsanity.com/paper/2408.00108/) (2024)

## Built on by (most cited first, 1 of 1)

- [Object-Centric Case-Based Reasoning via Argumentation](https://mlsanity.com/paper/2510.00185/) (2025)

## Abstract (arXiv)

We introduce Supported Abstract Argumentation for Case-Based Reasoning (sAA-CBR), a binary classification model in which past cases engage in debates by arguing in favour of their labelling and attacking or supporting those with opposing or agreeing labels. With supports, sAA-CBR overcomes the limitation of its precursor AA-CBR, which can contain extraneous cases (or spikes) that are not included in the debates. We prove that sAA-CBR contains no spikes, without trading off key model properties