concept

active

concept:anchoring-strength-s-d-dr-log-k

Anchoring strength S = ρd - dr - log k

The calibrated score measuring how effectively anchors bind target patterns; a predictive correlate of success.

Neighborhood — ranked by edge-count

Frameworks (1)

framework

Unified Contextual Control Theory (UCCT)
associated_with
A theory that pretrained latent patterns are bound to task targets via external semantic anchors; formalized by anchoring strength S.

Concepts (4)

concept

anchoring strength S
related_to
Composite score S = ρd − dr − log k predicting anchoring success.
cohesion ρd
associated_with
Within-cluster tightness of target pattern representations.
Mismatch dr
associated_with
Distance between prior knowledge centroid and target pattern centroid, e.g., 1 - cos(eprior, eT).
anchor budget k
associated_with
Number of few-shot exemplars provided.

Artifacts (1)

artifact

Semantic Anchoring in LLMs: Thresholds, Transfer, and Geometric Correlates
introduces
Main paper presenting UCCT and semantic anchoring framework.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

(ii) does the anchoring score S = ρd − dr − log k consistently correlate with performance across anchoring methods?question0.844
Second research question in E2
S = ρd − dr − log k is a predictive correlate of anchoring success across few-shot, SFT, and CoT.claim0.821
UCCT's practical utility claim.
S = ρd - dr - log k is a predictive correlate of when few-shot behavior flipsclaim0.739
Claim that S predicts threshold midpoints across different bases, tasks, and models
The additive form S = ρd - dr - log k is parsimonious and aligns with log-odds intuitionclaim0.735
Justification for the linear combination
S = ρd - dr - log k predicts shot midpoints across different bases, tasks, and modelsclaim0.729
Predictive practical utility claim.
The anchoring score S is a predictive correlate of when anchoring succeeds and why small prompt changes yield threshold-like shifts.claim0.727
A central claim about the operational value of S.
Dense but off-task anchors yield high ρd AND high dr; behavior does not improve, consistent with mismatch dominating Sfinding0.723
E3 negative control validating that both ρd AND dr must be favorable for S to exceed Sc
layer-wise anchoring score S(ℓ) computationmethod0.717
Compute per-layer S(ℓ) = ρ̃d(ℓ) - d̃r(ℓ) - log k after whitening and standardization.