claim
active
claim:s-d-dr-log-k-is-a-predictive-correlate-of-anchoring-success-across-few-shot-sft-and-cotS = ρd − dr − log k is a predictive correlate of anchoring success across few-shot, SFT, and CoT.
UCCT's practical utility claim.
Source paper
extracted_from(2025) · Edward Yi Chang · Kaya, Zeyneb N. · Ethan Chang
Neighborhood — ranked by edge-count
Findings (1)
finding
- Shows S predicts anchoring effectiveness.
Communities (3)
community
- Few-shot anchoring & latent structuremembers_ofHow minimal examples disambiguate and recruit latent arithmetic/reasoning interpretations in LLMs
- Anchoring score threshold theorymembers_ofPredictive framework using S = ρd − dr − log k to explain few-shot performance phase transitions.
- Predictive metric S = ρd - dr - log k quantifies when LLM behavior sharply transitions across few-shot, SFT, and CoT settings via layer-wise calibration.
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.
- Claim that S predicts threshold midpoints across different bases, tasks, and models
- Predictive practical utility claim.
- (ii) does the anchoring score S = ρd − dr − log k consistently correlate with performance across anchoring methods?question0.862Second research question in E2
- Implicit hypothesis behind S form.
- The calibrated score measuring how effectively anchors bind target patterns; a predictive correlate of success.
- A central claim about the operational value of S.
- Justification for the linear combination
- (i) do pattern density (ρd) and prior–target distance (dr) serve as predictive correlates of few-shot thresholds?question0.793First research question in Experiment 2