concept
active
concept:shot-midpoint-k50shot midpoint k50
Number of in-context exemplars to reach 50% accuracy in E2.
Neighborhood — ranked by edge-count
Concepts (5)
concept
- threshold-like behaviorassociated_withSharp performance changes when S crosses a critical value.
- internal threshold θ50associated_withFew-shot midpoint in E3's geometric analysis.
- Logistic success surrogateassociated_withPhenomenological fit P(success)=σ(αS+β) used to summarize sharpness and midpoints.
- cohesion ρdassociated_withWithin-cluster tightness of target pattern representations.
- representational mismatch drassociated_withDistance between prior and target representations.
Hypotheses (1)
hypothesis
- Testable prediction for Experiment 2
Artifacts (1)
artifact
- Main paper presenting UCCT and semantic anchoring framework.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Lowest threshold condition in E2; near-zero/one-shot threshold consistent with high pretraining density
- Shot midpoints follow k50 ∝ dr/ρd; higher cohesion and lower mismatch yield fewer required examplesclaim0.816Core quantitative prediction of UCCT validated by E2 threshold ordering
- Interpretation that pattern density from pretraining determines few-shot requirements
- Shot count needed to reach 50% accuracy; reflects when anchoring strength crosses critical value.
- Hypothesis: Shot midpoint ordering k50(B10) < k50(B8) ≈ k50(B9) follows pretraining exposure densityhypothesis0.753E2 prediction that bases with higher pretraining exposure require fewer shots to cross threshold
- Interpretation of E2 results.
- Prompting technique where k example pairs are provided as anchors.
- Hypothesis: Peak alignment location S_max and normalized trajectory area AUS_N predict shot midpoints θ50hypothesis0.694E3 prediction that internal geometry provides a bridge to behavioral thresholds