{"total":30,"rows":[{"id":"2407.09468","title":"Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures","created":"2024-07-12","cited_by_count":20,"area":null},{"id":"2406.17583","title":"Towards Compositional Interpretability for XAI","created":"2024-06-25","cited_by_count":12,"area":null},{"id":"2512.07796","title":"Large Causal Models from Large Language Models","created":"2025-12-08","cited_by_count":8,"area":null},{"id":"2601.21645","title":"Identifiable Equivariant Networks are Layerwise Equivariant","created":"2026-01-29","cited_by_count":7,"area":null},{"id":"2404.11624","title":"Token Space: A Category Theory Framework for AI Computations","created":"2024-04-11","cited_by_count":2,"area":null},{"id":"2508.08293","title":"Topos Theory for Generative AI and LLMs","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2403.18415","title":"The Topos of Transformer Networks","created":"2024-03-27","cited_by_count":1,"area":null},{"id":"2505.09326","title":"Accelerating Machine Learning Systems via Category Theory: Applications to Spherical Attention for Gene Regulatory Networks","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2603.25414","title":"Decidable By Construction: Design-Time Verification for Truly Fearless Systems","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2605.22257","title":"What are the Right Symmetries for Formal Theorem Proving?","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2507.02442","title":"The Gauss-Markov Adjunction Provides Categorical Semantics of Residuals in Supervised Learning","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2507.04117","title":"Relational inductive biases on attention mechanisms","created":"2025-07-05","cited_by_count":0,"area":null},{"id":"2507.08458","title":"A document is worth a structured record: Principled inductive bias design for document recognition","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2507.16334","title":"Higher Gauge Flow Models","created":"2025-07-22","cited_by_count":0,"area":null},{"id":"2508.00197","title":"Graph Lineages and Skeletal Graph Products","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2601.08109","title":"CSQL: Mapping Documents into Causal Databases","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2601.11618","title":"Architecture Before the Formula: Training-Dependent Computational Semantics in Transformers","created":"2026-01-10","cited_by_count":0,"area":null},{"id":"2602.01454","title":"Modeling Topological Impact on Node Attribute Distributions in Attributed Graphs","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.02573","title":"Product Interaction: An Algebraic Formalism for Deep Learning Architectures","created":"2026-01-31","cited_by_count":0,"area":null},{"id":"2603.03227","title":"Coalgebras for categorical deep learning: Representability and universal approximation","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2603.16123","title":"Functorial Neural Architectures from Higher Inductive Types","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2604.07242","title":"Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2605.21435","title":"Gaussian Sheaf Neural Networks","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.28864","title":"The Cognitive Categorical Transformer: Category-Theoretic Inductive Biases for Language Modeling","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.17851","title":"A homotopy-type-theoretic generalization of neurosymbolic inference","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2606.19279","title":"NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2608.18936","title":"Graphical Design of Interpretable Architectures","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2608.20361","title":"Toward Auto-Research: Mining Falsifiable Research Ideas from Paper Knowledge Graphs with Categorical Structure","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2608.26187","title":"When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2609.00472","title":"Higher Structures in Deep Learning","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}