Self-Correction Data Mixing Ratio

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Synthetic Self-Correction Fine-Tuningmethod0.782
  Fine-tuning on Claude-generated self-correction examples with loss masking to induce ESR-like behavior
• Self-Correcting Searchmethod0.775
  Technique using internal model representations as feedback loops to steer diffusion-based materials generation toward target properties.
• Intrinsic Self-Correction via Linear Representationsframework0.766
  Framework by Lee et al. explaining self-correction via linear latent concept directions, closely related prior work.
• Self-correcting search is Pareto-optimal across tested conditioning strengths.claim0.751
  Asserts that the method maintains efficiency across a range of constraint strengths without degradation.
• Self-Refineframework0.751
  Prior self-evolving agent method iteratively improving outputs through self-feedback
• mirror of the self testmethod0.750
  A method introduced in Book 1 where observers compare their feeling of self with the life in a candidate thing; Alexander claims it correlates with observed life in thousands of centers.
• Self-reflectionconcept0.746
  The ability of reasoning LLMs to review and revise previous reasoning steps during inference
• LLM Self-Correctionconcept0.744
  Related capability where LLMs correct their own outputs, studied via linear representations.