NeuReasoner: Theory-grounded Mapping of Reasoning Elicitation Boundaries

arXiv:2606.29971 · cs.LG · Submitted 2026-06-29 · Read on arXiv

cs.LG

Submitted: 2026-06-29

Updated: 2026-08-31

Comments: Published at COLM 2026 Workshop on Agent Behavior

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 22× in this paper · explained in 2 episodes
• Thinking mode — 15× in this paper · explained in 2 episodes
• Temporal Discounting — 14× in this paper
• Ablation — 9× in this paper · explained in 1 episode
• Restless Bandit — 8× in this paper
• Probabilistic Reasoning — 7× in this paper
• Trace — 7× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Erotetic Theory of Reasoning — 6× in this paper
• Horizon Task — 6× in this paper
• Instrumental Learning — 6× in this paper
• Two-Step Task — 5× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Self-consistency — 4× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Commentary — 2× in this paper · explained in 2 episodes
• Compositional Generalization — 2× in this paper · explained in 4 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• GRPO — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Analyzer — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
• VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models
• Measuring Mathematical Problem Solving With the MATH Dataset

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