mlsanityData to 7 Oct 2026

Object-Centric Case-Based Reasoning via Argumentation

arXiv 2510.00185 ↗First posted 30 Sep 2025cs.AIcited by 1

On the map: LLM reasoning → Multimodal reasoning

Abstract (arXiv)

We introduce Slot Attention Argumentation for Case-Based Reasoning (SAA-CBR), a novel neuro-symbolic pipeline for image classification that integrates object-centric learning via a neural Slot Attention (SA) component with symbolic reasoning conducted by Abstract Argumentation for Case-Based Reasoning (AA-CBR). We explore novel integrations of AA-CBR with the neural component, including feature combination strategies, casebase reduction via representative samples, novel count-based partial orders, a One-Vs-Rest strategy for extending AA-CBR to multi-class classification, and an application of Supported AA-CBR, a bipolar variant of AA-CBR. We demonstrate that SAA-CBR is an effective classifier on the CLEVR-Hans datasets, showing competitive performance against baseline models.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 28 of its 54 references that are in the map. First posted on arXiv 30 Sep 2025.

Builds on

28 of 54 references.

References · 28

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16 more
  1. 2021Illiterate DALL-E Learns to Composecited by 147
  2. 2021Counterfactual Generative Networkscited by 111
  3. 2021GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinementcited by 109
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  6. 2023Slot-VAE: Object-Centric Scene Generation with Slot Attentioncited by 20
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  10. 2021Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)cited by 6
  11. 2023ABA Learning via ASPcited by 4
  12. 2024Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)cited by 4
  13. 2025Free Argumentative Exchanges for Explaining Image Classifierscited by 3
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  15. 2025Object-Centric Neuro-Argumentative Learningcited by 1
  16. 2025Supported Abstract Argumentation for Case-Based Reasoningcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Deep Arguingcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Weakly Supervised Concept Learning for Object-centric Visual Reasoning
  2. 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
  3. 2025Neurosymbolic Object-Centric Learning with Distant Supervision
  4. 2023Object-centric Learning with Cyclic Walks between Parts and Whole
  5. 2023The role of object-centric representations, guided attention, and external memory on generalizing visual relations
  6. 2024Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
  7. 2024Neural Concept Binder
  8. 2024Reasoning-Enhanced Object-Centric Learning for Videos