concept
active
concept:target-pattern-cohesion-dTarget Pattern Cohesion (ρd)
Measures how tightly the target pattern PT clusters in representation space; one of three components of S
Neighborhood — ranked by edge-count
Methods (2)
method
- Quantitative study varying representational familiarity via numeral bases B10/B8/B9 at fixed computational complexity
- LoRA SFTassociated_withLight fine-tuning method used in E2 to reduce mismatch dr.
Concepts (1)
concept
- anchoring strength Sassociated_withComposite score S = ρd − dr − log k predicting anchoring success.
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.
- Within-cluster tightness of target pattern representations.
- (i) do pattern density (ρd) and prior–target distance (dr) serve as predictive correlates of few-shot thresholds?question0.796First research question in Experiment 2
- Do pattern density ρd and prior-target distance dr serve as predictive correlates of few-shot thresholds?question0.763First E2 research question directly testing UCCT's core predictive claims
- S = ρd − dr − log k is a predictive correlate of anchoring success across few-shot, SFT, and CoT.claim0.748UCCT's practical utility claim.
- Shot midpoints follow k50 ∝ dr/ρd; higher cohesion and lower mismatch yield fewer required examplesclaim0.735Core quantitative prediction of UCCT validated by E2 threshold ordering
- Predictive practical utility claim.
- Finding that relative coherence rankings remain constant across different people and across different cognitive processing tasks (description, memorization, tachistoscopic recognition), establishing coherence as an objective feature of cognitive processing
- Implicit hypothesis behind S form.