few-shot threshold (k50/θ50)

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

• The ordering of few-shot thresholds k50 and transition widths aligns with k50 ∝ dr/ρd.claim0.849
  Interpretation of E2 results.
• shot midpoint k50concept0.800
  Number of in-context exemplars to reach 50% accuracy in E2.
• Few-shot thresholds and transition widths track ρd/dr at fixed computational complexityclaim0.797
  E2 main interpretive claim.
• few-shot promptingmethod0.790
  Providing k labeled examples in the prompt to steer model behavior.
• Calibrated Few-Shot Promptingmethod0.782
  Baseline method: sweeps over shot count and resamples prompts; calibrates threshold for P(TRUE)-P(FALSE); performed surprisingly weakly
• Shot midpoints follow k50 ∝ dr/ρd; higher cohesion and lower mismatch yield fewer required examplesclaim0.776
  Core quantitative prediction of UCCT validated by E2 threshold ordering
• Few-shot learningconcept0.771
  Test-time adaptation from a small number of examples without parameter updates.
• internal threshold θ50concept0.768
  Few-shot midpoint in E3's geometric analysis.