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question:do-pattern-density-d-and-prior-target-distance-dr-serve-as-predictive-correlates-of-few-shot-thresholdsDo pattern density ρd and prior-target distance dr serve as predictive correlates of few-shot thresholds?
First E2 research question directly testing UCCT's core predictive claims
Source paper
extracted_from(2025) · Edward Yi Chang · Kaya, Zeyneb N. · Ethan Chang
Neighborhood — ranked by edge-count
Findings (1)
finding
- Lowest threshold condition in E2; near-zero/one-shot threshold consistent with high pretraining density
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.
- (i) do pattern density (ρd) and prior–target distance (dr) serve as predictive correlates of few-shot thresholds?question0.963First research question in Experiment 2
- E2 main interpretive claim.
- Interpretation of E2 results.
- Claim that S predicts threshold midpoints across different bases, tasks, and models
- Predictive practical utility claim.
- S = ρd − dr − log k is a predictive correlate of anchoring success across few-shot, SFT, and CoT.claim0.787UCCT's practical utility claim.
- Shot midpoints follow k50 ∝ dr/ρd; higher cohesion and lower mismatch yield fewer required examplesclaim0.767Core quantitative prediction of UCCT validated by E2 threshold ordering
- Measures how tightly the target pattern PT clusters in representation space; one of three components of S