Abstract Reasoning

Latest papers

12 papers3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Nested Shared-Operator Recursion on ARC-AGI-1: An Empirical Study of HRM, TRM and URM
Oct 19, 2026Sara Neri, Eugenio Gaeta, Andrea Ceschini +2Recursive Reasoning Models Abstract Reasoning
University of Padova Padova, Italy · Universidad Politécnica de Madrid Madrid, Spain · Escuela Técnica Superior de Ingenieros de Telecomunicación Universidad Politécnica de Madrid Av. Complutense, 30 28040 Madrid, Spain +2
Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRM
Oct 9, 2026Adrien Deliege, Marc Van DroogenbroeckRecursive Reasoning Models Abstract Reasoning
Montefiore Institute of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium
Structured Sparse Memory for Recurrent Reasoning
Sep 27, 2026Zixuan Zhao, Samuel Wheeler, Neil Getty +3Memory-Augmented Neural Networks Recurrent Neural Networks
Department of Computer Science University of Chicago Chicago, IL 60637 · Argonne National Laboratory Lemont, IL 60439
PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
Sep 23, 2026Claas Beger, Ryan Yi, Melanie MitchellAbstract Reasoning LLM Evaluation
Santa Fe Institute
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Aug 10, 2026Björn Engdahl, Adrian Kosowski, Jan Chorowski +6Cost-Aware Inference Abstract Reasoning
New York University
GEB-Bench: Abstract Structures Told in Many Voices
Aug 4, 2026Tong Zhang, Zhiyuan Shi, Yun Peng +1Analogical Reasoning Abstract Reasoning
Fudan University · Peking University
Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1
Jul 7, 2026Kabir Moghe, Peter ChinLLM-Based Program Synthesis Abstract Reasoning
Department of Computer Science Dartmouth College
Auto-Relational Reasoning
Apr 29, 2026Ioannis Konstantoulas, Dimosthenis Tsimas, Pavlos Peppas +1Abstract Reasoning Relational Reasoning
Department of Electrical and Computer Engineering, University of Patras, Greece
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
Apr 20, 2026Chris Cameron, Wangzheng Wang, Nikita Ivanov +3Abstract Reasoning Recurrent Transformers
Huawei Technologies · University of Waterloo · University of Toronto
The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
Mar 9, 2026Sahar Vahdati, Andrei Aioanei, Haridhra Suresh +1Abstract Reasoning ARC-AGI
TIB - Leibniz Information Centre for Science and Technology · L3S Research Center, Leibniz University of Hannover · Dresden University of Technology +1
Recursive Inference Machines for Neural Reasoning
Mar 5, 2026Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus +2Abstract Reasoning Neural Algorithmic Reasoning
Department of Computer Science, Technical University of Darmstadt, Germany · Department of Computer Science, The University of Texas at Dallas, USA · Hessian Center for Artificial Intelligence (hessian.ai), Darmstadt, Germany +1
Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus
Feb 25, 2026Caroline Ahn, Quan Do, Leah Bakst +4Inductive Inference Abstract Reasoning
Graduate Program for Neuroscience, Boston University, Boston, MA, USA · Cognitive Neuroimaging Center, Boston University, Boston, MA, USA · Center for Systems Neuroscience, Boston University, Boston, MA, USA +1

Oct 19, 2026J/K move · Enter open · S save

Nested Shared-Operator Recursion on ARC-AGI-1: An Empirical Study of HRM, TRM and URM

Sara Neri, Eugenio Gaeta, Andrea Ceschini, Andrea Facchinetti+1

University of Padova Padova, Italy · Universidad Politécnica de Madrid Madrid, Spain · Escuela Técnica Superior de Ingenieros de Telecomunicación Universidad Politécnica de Madrid Av. Complutense, 30 28040 Madrid, Spain+2

Recursive Reasoning Models Abstract Reasoning ARC-AGI

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Recursive reasoning models refine persistent internal states by repeatedly applying learned operators. We investigate whether adding a persistent intermediate state that integrates repeated updates of a faster state through the same operator improves predictive performance relative to each model family's baseline at matched parameter counts. We define this organisation operationally and implement it within three architectures: the Hierarchical Reasoning Model (HRM), Tiny Recursive Model (TRM) and Universal Reasoning Model (URM). Using the official codebases on ARC-AGI-1, we compare each baseline with its parameter-matched nested variant. We evaluate held-out queries from tasks whose demonstrations were available during training. The experiments use a single-GPU budget far below the published training protocols. Under the tested conditions, nested variants show no consistent advantage in token accuracy, predictive loss or exact solving, which remains near zero for all configurations. The results therefore leave the hypothesis open. We specify a confirmatory comparison, with an informative baseline, multiple seeds, controls that isolate nesting and predefined criteria, to determine whether this organisation merits further development.