SciR: A Controllable Benchmark for Scientific Reasoning in LLMs

arXiv:2606.13020 · cs.AI · Submitted 2026-06-11 · Read on arXiv

cs.AI

Submitted: 2026-06-11

Updated: 2026-09-25

Code: https://github.com/idiap/scir

Project page: https://scir-explorer.github.io

Terminology

• Benchmark — 44× in this paper · explained in 2 episodes
• Accuracy — 15× in this paper · explained in 1 episode
• Causal Reasoning — 8× in this paper · explained in 2 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Abundance — 5× in this paper · explained in 1 episode
• Causal Inference — 3× in this paper · explained in 4 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
• Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
• ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

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