Integrated and Cross-Architecture Interpretation of LLM Reasoning

arXiv:2605.28006 · cs.CL, cs.AI · Submitted 2026-05-27 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-05-27

Updated: 2026-08-31

Terminology

• Trace — 22× in this paper · explained in 2 episodes
• Ablation — 17× in this paper · explained in 1 episode
• Calibration — 16× in this paper · explained in 7 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Self-consistency — 7× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Deep-Thinking Ratio — 3× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Pairwise Comparisons — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Latent Reasoning — 2× in this paper · explained in 2 episodes
• Mutual Information Peak — 2× in this paper
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) Prompting — 1× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Hallucination Detection — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Program Synthesis with Large Language Models
• Eliciting Latent Predictions from Transformers with the Tuned Lens
• Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
• Training Verifiers to Solve Math Word Problems
• OpenAI o1 System Card
• Measuring Faithfulness in Chain-of-Thought Reasoning
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

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