How does reflection influence the model's reasoning performance?

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• When does the model initiate reflection during its reasoning process?question0.835
  First central research question motivating ReflCtrl investigation
• The model tends to reflect more when the question is difficult, and accuracy is generally lower for harder questionshypothesis0.793
  Hypothesis explaining negative correlation between reflection rate and accuracy without implying reflection is harmful
• what is the underlying mechanism of self-reflection in reasoning LLMs?question0.781
  Open question motivating the entire paper; identified as not yet well understood
• The underlying mechanism of self-reflection in reasoning LLMs is not yet well understoodquestion0.779
  Broad gap motivating the entire paper
• Reflection is not merely a behavioral artifact of prompting but a phenomenon encoded in the model's activation space.claim0.771
  Central interpretive claim of the paper, supported by steering vector experiments.
• Reasoning LLMs trigger reflection when their internal uncertainty is highhypothesis0.767
  Core hypothesis linking internal uncertainty to self-reflection behavior, tested via probing experiments
• Reflective reasoning requires late-stage integration of semantic and reasoning signals, hence reflection-related directions emerge more clearly in higher network layers.claim0.764
  Interpretive claim about the locus of reflection in transformer architecture.
• Does the model internally maintain a form of 'consistency score' or probability mass over coherent reasoning trajectories, and how is this score modulated during reflection?question0.761
  Promising future research direction about the internal mechanism of error detection.