PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks

arXiv:2609.27288 · cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/fchollet/ARC

Terminology

• Verifier — 49× in this paper · explained in 2 episodes
• Accuracy — 43× in this paper · explained in 1 episode
• Benchmark — 23× in this paper · explained in 2 episodes
• Consistency — 11× in this paper · explained in 3 episodes
• Abstraction — 9× in this paper · explained in 1 episode
• Self-consistency — 9× in this paper · explained in 2 episodes
• Abstraction and Reasoning Corpus — 5× in this paper
• Embeddings — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes

Sources

• Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
• ARC Prize 2024: Technical Report
• ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
• Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation
• ARC Is a Vision Problem!
• Combining Induction and Transduction for Abstract Reasoning
• Cognitive Dark Matter: Measuring What AI Misses
• GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
• ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
• Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
• OmniCode: A Benchmark for Evaluating Software Engineering Agents
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection