Multi-agent simulations with naturalistic lexicons and phonological rules show scale-free networks and Bernoulli adoption produce more plausible morphologies, evaluated by an LLM historical linguist debate system and tested via historical case studies.
Leopoldo Catania, Stefano Grassi, and Francesco Ravazzolo
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
A literature survey finds no peer-reviewed Bitcoin price models beat the naive baseline at medium horizons and proposes methodological improvements including walk-forward testing and Diebold-Mariano tests.
citing papers explorer
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Agent-based models for the evolution of morphological alternation patterns
Multi-agent simulations with naturalistic lexicons and phonological rules show scale-free networks and Bernoulli adoption produce more plausible morphologies, evaluated by an LLM historical linguist debate system and tested via historical case studies.
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Bitcoin's Power Law: Weak Structure, Strong Forecasts
Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
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Bitcoin Price Prediction: Peer-Reviewed Evidence and Social Media Discourse
A literature survey finds no peer-reviewed Bitcoin price models beat the naive baseline at medium horizons and proposes methodological improvements including walk-forward testing and Diebold-Mariano tests.